Do We Really Need Performance Objectives?

ERIC Educational Resources Information Center

Duenk, Lester G.

Trade and industrial education (T&I) has been using performance-based instructional systems long before competency-based education (CBE) emerged as a creative innovation in other subject areas. Allen devised the forerunner of the present CBE system in 1917 by carefully plotting competencies and delineating job analyses from these, and Fryklund's…

Automated Euler and Navier-Stokes Database Generation for a Glide-Back Booster

NASA Technical Reports Server (NTRS)

Chaderjian, Neal M.; Rogers, Stuart E.; Aftosmis, Mike J.; Pandya, Shishir A.; Ahmad, Jasim U.; Tejnil, Edward

2004-01-01

The past two decades have seen a sustained increase in the use of high fidelity Computational Fluid Dynamics (CFD) in basic research, aircraft design, and the analysis of post-design issues. As the fidelity of a CFD method increases, the number of cases that can be readily and affordably computed greatly diminishes. However, computer speeds now exceed 2 GHz, hundreds of processors are currently available and more affordable, and advances in parallel CFD algorithms scale more readily with large numbers of processors. All of these factors make it feasible to compute thousands of high fidelity cases. However, there still remains the overwhelming task of monitoring the solution process. This paper presents an approach to automate the CFD solution process. A new software tool, AeroDB, is used to compute thousands of Euler and Navier-Stokes solutions for a 2nd generation glide-back booster in one week. The solution process exploits a common job-submission grid environment, the NASA Information Power Grid (IPG), using 13 computers located at 4 different geographical sites. Process automation and web-based access to a MySql database greatly reduces the user workload, removing much of the tedium and tendency for user input errors. The AeroDB framework is shown. The user submits/deletes jobs, monitors AeroDB's progress, and retrieves data and plots via a web portal. Once a job is in the database, a job launcher uses an IPG resource broker to decide which computers are best suited to run the job. Job/code requirements, the number of CPUs free on a remote system, and queue lengths are some of the parameters the broker takes into account. The Globus software provides secure services for user authentication, remote shell execution, and secure file transfers over an open network. AeroDB automatically decides when a job is completed. Currently, the Cart3D unstructured flow solver is used for the Euler equations, and the Overflow structured overset flow solver is used for the Navier-Stokes equations. Other codes can be readily included into the AeroDB framework.

Data reduction software for LORAN-C flight test evaluation

NASA Technical Reports Server (NTRS)

Fischer, J. P.

1979-01-01

A set of programs designed to be run on an IBM 370/158 computer to read the recorded time differences from the tape produced by the LORAN data collection system, convert them to latitude/longitude and produce various plotting input files are described. The programs were written so they may be tailored easily to meet the demands of a particular data reduction job. The tape reader program is written in 370 assembler language and the remaining programs are written in standard IBM FORTRAN-IV language. The tape reader program is dependent upon the recording format used by the data collection system and on the I/O macros used at the computing facility. The other programs are generally device-independent, although the plotting routines are dependent upon the plotting method used. The data reduction programs convert the recorded data to a more readily usable form; convert the time difference (TD) numbers to latitude/longitude (lat/long), to format a printed listing of the TDs, lat/long, reference times, and other information derived from the data, and produce data files which may be used for subsequent plotting.

A computer program for analyzing channel geometry

USGS Publications Warehouse

Regan, R.S.; Schaffranek, R.W.

1985-01-01

The Channel Geometry Analysis Program (CGAP) provides the capability to process, analyze, and format cross-sectional data for input to flow/transport simulation models or other computational programs. CGAP allows for a variety of cross-sectional data input formats through use of variable format specification. The program accepts data from various computer media and provides for modification of machine-stored parameter values. CGAP has been devised to provide a rapid and efficient means of computing and analyzing the physical properties of an open-channel reach defined by a sequence of cross sections. CGAP 's 16 options provide a wide range of methods by which to analyze and depict a channel reach and its individual cross-sectional properties. The primary function of the program is to compute the area, width, wetted perimeter, and hydraulic radius of cross sections at successive increments of water surface elevation (stage) from data that consist of coordinate pairs of cross-channel distances and land surface or channel bottom elevations. Longitudinal rates-of-change of cross-sectional properties are also computed, as are the mean properties of a channel reach. Output products include tabular lists of cross-sectional area, channel width, wetted perimeter, hydraulic radius, average depth, and cross-sectional symmetry computed as functions of stage; plots of cross sections; plots of cross-sectional area and (or) channel width as functions of stage; tabular lists of cross-sectional area and channel width computed as functions of stage for subdivisions of a cross section; plots of cross sections in isometric projection; and plots of cross-sectional area at a fixed stage as a function of longitudinal distance along an open-channel reach. A Command Procedure Language program and Job Control Language procedure exist to facilitate program execution on the U.S. Geological Survey Prime and Amdahl computer systems respectively. (Lantz-PTT)

Where are the Walnut Trees in Minnesota? 1995.

Treesearch

J. Michael Vasievich; Neal P. Kingsley

1995-01-01

The forests of each state are inventoried by the USDA-Forest Service and the state?s forestry agency on a periodic basis. In the Midwest, the North Central Forest Experiment Station coordinates the inventory. The job takes a long time-- sometimes several years from start to finish -- because lots of trees are measured on lots of plots. For example, during the last...

The Cluster Analysis of Jobs Based on Data from the Position Analysis Questionnaire (PAQ). Report No. 7.

ERIC Educational Resources Information Center

DeNisi, Angelo S.; McCormick, Ernest J.

The Position Analysis Questionnaire (PAQ) is a structured job analysis procedure that provides for the analysis of jobs in terms of each of 187 job elements, these job elements being grouped into six divisions: information input, mental processes, work output, relationships with other persons, job context, and other job characteristics. Two…

41 CFR 60-2.12 - Job group analysis.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 41 Public Contracts and Property Management 1 2010-07-01 2010-07-01 true Job group analysis. 60-2... group analysis. (a) Purpose: A job group analysis is a method of combining job titles within the... employed. (b) In the job group analysis, jobs at the establishment with similar content, wage rates, and...

Cysteine optical sensing with an up-conversion host and two chemosensors derived from rhodamine: Construction, characterization and performance

NASA Astrophysics Data System (ADS)

Lin, Chen; Zhigang, Fang

2017-03-01

This paper focused on two rhodamine chemosensors for cysteine optical sensing. To minimize their photobleaching caused by excitation light, up-conversion NaYF4:Yb3 +/Er3 + nanocrystals were prepared and used as excitation host. Photophysical measurement on this host and the two chemosensors suggested that chemosensor absorption matched well with host emission. An efficient energy transfer between them was discussed and confirmed by their spectral analysis and emission lifetime comparison. Job's plot suggested that our chemosensors followed a simple recognition mechanism towards cysteine with binding stoichiometry of 1:1. Both chemosensors showed emission "off-on" effect triggered by cysteine and good photostability. Linear working curves with maximum sensitivity of 2.61 were obtained. S substituent was positive to improve selectivity.

The Job Dimensions Underlying the Job Elements of the Position Analysis Questionnaire (PAQ) (Form B).

DTIC Science & Technology

The study was concerned with the identification of the job dimension underlying the job elements of the Position Analysis Questionnaire ( PAQ ), Form B...The PAQ is a structured job analysis instrument consisting of 187 worker-oriented job elements which are divided into six a priori major divisions...The statistical procedure of principal components analysis was used to identify the job dimensions of the PAQ . Forty-five job dimensions were

The Utility of Job Dimensions Based on Form B of the Position Analysis Questionnaire (PAQ) in a Job Component Validation Model. Report No. 5.

ERIC Educational Resources Information Center

Marquardt, Lloyd D.; McCormick, Ernest J.

The study involved the use of a structured job analysis instrument called the Position Analysis Questionnaire (PAQ) as the direct basis for the establishment of the job component validity of aptitude tests (that is, a procedure for estimating the aptitude requirements for jobs strictly on the basis of job analysis data). The sample of jobs used…

Visualizing Sound with an Electro-Optical Eardrum

NASA Astrophysics Data System (ADS)

Truncale, Nicholas P.; Graham, Michelle T.

2014-02-01

As science educators, one of our important responsibilities is ensuring students possess the proper tools and accommodations to examine phenomena in a laboratory setting. It is our job to innovate methods enabling students with disabilities to participate in all aspects of investigations. This article describes an experimental accommodation allowing a deaf student to determine and plot the sensitivity of an electro-optical eardrum in the sound range of 10-150 Hz.

The Application of Structured Job Analysis Information Based on the Position Analysis Questionnaire (PAQ).

DTIC Science & Technology

Position Analysis Questionnaire ( PAQ ). This job analysis instrument consists of 187 job elements organized into six divisions. In the analysis of a job...with the PAQ the relevance of the individual elements to the job are rated using any of several rating scales such as importance, or time.

The Americans with Disabilities Act: Using Job Analysis To Meet New Challenges.

ERIC Educational Resources Information Center

Lozada-Larsen, Susana R.

This paper focuses on the role that job analysis plays under the Americans with Disabilities Act (ADA). The most obvious use of job analysis data is in defining the essential functions of each job. The job analysis technique used should: list the functions of the job, define which functions are essential rather than marginal, and offer proof of…

Work schedule manager gap analysis : assessing the future training needs of work schedule managers using a strategic job analysis approach.

DOT National Transportation Integrated Search

2010-05-01

This report documents the results of a strategic job analysis that examined the job tasks and knowledge, skills, abilities, and other characteristics (KSAOs) needed to perform the job of a work schedule manager. The strategic job analysis compared in...

Work schedule manager gap analysis : assessing the future training needs of work schedule managers using a strategic job analysis approach

DOT National Transportation Integrated Search

2010-05-01

This report documents the results of a strategic job analysis that examined the job tasks and knowledge, skills, abilities, and other characteristics (KSAOs) needed to perform the job of a work schedule manager. The strategic job analysis compared in...

A highly selective colorimetric and fluorescent chemosensor for Al(III) based-on simple naphthol in aqueous solution

NASA Astrophysics Data System (ADS)

Liu, Zhaodi; Xu, Huajie; Sheng, Liangquan; Chen, Shuisheng; Huang, Deqian; Liu, Jie

2016-03-01

A colorimetric and fluorescent chemosensor (L) for Al(III) was synthesized and fully characterized. L could be both used as a colorimetric and fluorescent chemosensor for the detection of Al3 + ions with low detection limit (8.87 × 10- 7 M) in CH3CN-H2O (1:1, v/v) solution. The binding ratio of L-Al3 + was determined from the Job plot (absorption and fluorescence spectra) and MALDI-TOF MS data to be 1:1. The binding constant (Ka) of Al3 + binding to L was calculated to be 4.8 × 105 M- 1 from a Benesi-Hildebrand plot. Moreover, the binding site of L with Al3 + was determined by 1H NMR titration experiment.

41 CFR 60-2.12 - Job group analysis.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 41 Public Contracts and Property Management 1 2013-07-01 2013-07-01 false Job group analysis. 60-2... 2-AFFIRMATIVE ACTION PROGRAMS Purpose and Contents of Affirmative Action Programs § 60-2.12 Job group analysis. (a) Purpose: A job group analysis is a method of combining job titles within the...

41 CFR 60-2.12 - Job group analysis.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 41 Public Contracts and Property Management 1 2012-07-01 2009-07-01 true Job group analysis. 60-2... 2-AFFIRMATIVE ACTION PROGRAMS Purpose and Contents of Affirmative Action Programs § 60-2.12 Job group analysis. (a) Purpose: A job group analysis is a method of combining job titles within the...

41 CFR 60-2.12 - Job group analysis.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 41 Public Contracts and Property Management 1 2014-07-01 2014-07-01 false Job group analysis. 60-2... 2-AFFIRMATIVE ACTION PROGRAMS Purpose and Contents of Affirmative Action Programs § 60-2.12 Job group analysis. (a) Purpose: A job group analysis is a method of combining job titles within the...

A Guide to Job Analysis for the Preparation of Job Training Programmes.

ERIC Educational Resources Information Center

Ceramics, Glass, and Mineral Products Industry Training Board, Harrow (England).

The paper deals with job analysis for the preparation of job training programs. The analytical approach involves five steps: enlisting support, examining the job, describing the job, analyzing training requirements, and planning the programs. Appendixes include methods of producing training schemes--the simple job breakdown, straightforward…

Human Factors for Flight Deck Certification Personnel

DTIC Science & Technology

1993-07-01

Figure 2.2 Relative energy of fluorescent lamps plotted as a function of wavelength: 1 = standard warm white, 2 = white, 3 = standard cool white, 4...amounts of energy to be loud enough to be heard. it is interesting to consider our absolute sensitivity under optimal conditions. At about 2,500 Hz... airports have hearing losses that are correlated with the amount of time on the job (Taylor, 1965). Similar studies have shown deleterious effects of

Digital Topographic Support System (DTSS).

DTIC Science & Technology

1987-07-29

effects applications software, a word processing package and a Special Purpose Product Builder ( SPPB ) in terms common to his Job. Through the MI, the...communicating with the TA in terms he understands, the applications software, the SPPB and the GIS form the underlying tools which perform the computations and...displayed on the monitors or plotted on paper or Mylar. The SPPB will guide the TA enabling him to design products which are not included in the applications

Monitoring of computing resource use of active software releases at ATLAS

NASA Astrophysics Data System (ADS)

Limosani, Antonio; ATLAS Collaboration

2017-10-01

The LHC is the world’s most powerful particle accelerator, colliding protons at centre of mass energy of 13 TeV. As the energy and frequency of collisions has grown in the search for new physics, so too has demand for computing resources needed for event reconstruction. We will report on the evolution of resource usage in terms of CPU and RAM in key ATLAS offline reconstruction workflows at the TierO at CERN and on the WLCG. Monitoring of workflows is achieved using the ATLAS PerfMon package, which is the standard ATLAS performance monitoring system running inside Athena jobs. Systematic daily monitoring has recently been expanded to include all workflows beginning at Monte Carlo generation through to end-user physics analysis, beyond that of event reconstruction. Moreover, the move to a multiprocessor mode in production jobs has facilitated the use of tools, such as “MemoryMonitor”, to measure the memory shared across processors in jobs. Resource consumption is broken down into software domains and displayed in plots generated using Python visualization libraries and collected into pre-formatted auto-generated Web pages, which allow the ATLAS developer community to track the performance of their algorithms. This information is however preferentially filtered to domain leaders and developers through the use of JIRA and via reports given at ATLAS software meetings. Finally, we take a glimpse of the future by reporting on the expected CPU and RAM usage in benchmark workflows associated with the High Luminosity LHC and anticipate the ways performance monitoring will evolve to understand and benchmark future workflows.

The Job Dimensions Underlying the Job Elements of the Position Analysis Questionnaire (PAQ) (Form B). Report No. 4.

ERIC Educational Resources Information Center

Marquardt, Lloyd D.; McCormick, Ernest J.

This study was concerned with the identification of the job dimension underlying the job elements of the Position Analysis Questionnaire (PAQ), Form B. The PAQ is a structured job analysis instrument consisting of 187 worker-oriented job elements which are divided into six a priori major divisions. The statistical procedure of principal components…

Can Raters with Reduced Job Descriptive Information Provide Accurate Position Analysis Questionnaire (PAQ) Ratings?

ERIC Educational Resources Information Center

Friedman, Lee; Harvey, Robert J.

1986-01-01

Job-naive raters provided with job descriptive information made Position Analysis Questionnaire (PAQ) ratings which were validated against ratings of job analysts who were also job content experts. None of the reduced job descriptive information conditions enabled job-naive raters to obtain either acceptable levels of convergent validity with…

User Guide for the Plotting Software for the Los Alamos National Laboratory Nuclear Weapons Analysis Tools Version 2.0

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cleland, Timothy James

The Los Alamos National Laboratory Plotting Software for the Nuclear Weapons Analysis Tools is a Java™ application based upon the open source library JFreeChart. The software provides a capability for plotting data on graphs with a rich variety of display options while allowing the viewer interaction via graph manipulation and scaling to best view the data. The graph types include XY plots, Date XY plots, Bar plots and Histogram plots.

The Derivation of Job Compensation Index Values from the Position Analysis Questionnaire (PAQ). Report No. 6.

ERIC Educational Resources Information Center

McCormick, Ernest J.; And Others

The study deals with the job component method of establishing compensation rates. The basic job analysis questionnaire used in the study was the Position Analysis Questionnaire (PAQ) (Form B). On the basis of a principal components analysis of PAQ data for a large sample (2,688) of jobs, a number of principal components (job dimensions) were…

The Use of the Position Analysis Questionnaire (PAQ) for Establishing the Job Component Validity of Tests. Report No. 5. Final Report.

ERIC Educational Resources Information Center

McCormick, Ernest J.; And Others

The Position Analysis Questionnaire (PAQ), a structured job analysis questionnaire that provides for the analysis of individual jobs in terms of each of 187 job elements, was used to establish the job component validity of certain commercially-available vocational aptitude tests. Prior to the general analyses reported here, a statistical analysis…

[Job satisfaction of sales people: a covariance structure analysis of the motivational process].

PubMed

Adachi, T

1998-08-01

The purpose of this study was to investigate the relationship among job satisfaction, job involvement, and work motivation. Two hundred thirty-nine sales people completed a questionnaire of job satisfaction (pay, interpersonal relationship, work environment, and job content), job involvement, and work motivation. The data were analyzed with covariance structure analysis, and the model, which was constructed beforehand, fitted well with relatively high GFI and AGFI. Results of the analysis showed that job satisfaction, in terms of pay and interpersonal relationship, influenced job content satisfaction, which in turn indirectly influenced work motivation, mediated through job involvement. In addition, the data indicated that satisfaction with customer relationship was strongly related to job content satisfaction in the sample of sales people.

Empathy Variation in General Practice: A Survey among General Practitioners in Denmark

PubMed Central

Ahnfeldt-Mollerup, Peder; Søndergaard, Jens

2018-01-01

Background: Previous studies have demonstrated that high levels of physician empathy may be correlated with improved patient health outcomes and high physician job satisfaction. Knowledge about variation in empathy and related general practitioner (GP) characteristics may allow for a more informed approach to improve empathy among GPs. Objective: Our objective is to measure and analyze variation in physician empathy and its association with GP demographic, professional, and job satisfaction characteristics. Methods: 464 Danish GPs responded to a survey containing the Danish version of the Jefferson Scale of Empathy for Health Professionals (JSE-HP) and questions related to their demographic, professional and job satisfaction characteristics. Descriptive statistics and a quantile plot of the ordered empathy scores were used to describe empathy variation. In addition, random-effect logistic regression analysis was performed to explore the association between empathy levels and the included GP characteristics. Results: Empathy scores were negatively skewed with a mean score of 117.9 and a standard deviation of 10.1 within a range from 99 (p5) to 135 (p95). GPs aged 45–54 years and GPs who are not employed outside of their practice were less likely to have high empathy scores (≥120). Neither gender, nor length of time since specialization, length of time in current practice, practice type, practice location, or job satisfaction was associated with odds of having high physician empathy. However, odds of having a high empathy score were higher for GPs who stated that the physician-patient relationship and interaction with colleagues has a high contribution to job satisfaction compared to the reference groups (low and medium contribution of these factors). This was also the trend for GPs who stated a high contribution to job satisfaction from intellectual stimulation. In contrast, high contribution of economic profit and prestige did not contribute to increased odds of having a high empathy score. Conclusions: Albeit generally high, we observed substantial variation in physician empathy levels among this population of Danish GPs. This variation is positively associated with values of interpersonal relationships and interaction with colleagues, and negatively associated with middle age (45–54 years) and lack of outside employment. There is room to increase GP physician empathy via educational and organizational interventions, and consequently, to improve healthcare quality and outcomes. PMID:29498682

National Job Corps Study: Report on the Process Analysis. Research and Evaluation Report Series.

ERIC Educational Resources Information Center

Johnson, Terry; Gritz, Mark; Jackson, Russell; Burghardt, John; Boussy, Carol; Leonard, Jan; Orians, Carlyn

This report presents results of a process analysis that describes and documents Job Corps services and operations. Chapter one provides overviews of Job Corps, the national Job Corps study, and the process analysis. Chapter two describes the administrative structure of Job Corps and presents data on the geographic distribution and characteristics…

Job-Derived Selection. Preliminary Report. Report No. 2.

ERIC Educational Resources Information Center

DeNisi, Angelo S.; And Others

The Position Analysis Questionnaire (PAQ), a structured job analysis questionnaire that provides for the analysis for individual jobs in terms of 187 job elements, has been found in previous studies to be useful as the basis for predicting the mean test scores of incumbents on a sample of jobs in terms of the nine tests of the General Aptitude…

A first look at measurement error on FIA plots using blind plots in the Pacific Northwest

Treesearch

Susanna Melson; David Azuma; Jeremy S. Fried

2002-01-01

Measurement error in the Forest Inventory and Analysis work of the Pacific Northwest Station was estimated with a recently implemented blind plot measurement protocol. A small subset of plots was revisited by a crew having limited knowledge of the first crew's measurements. This preliminary analysis of the first 18 months' blind plot data indicates that...

A density management diagram for even-aged ponderosa pine stands

Treesearch

James N. Long; John D. Shaw

2005-01-01

We developed a density management diagram (DMD) for ponderosa pine using Forest Inventory and Analysis (FIA) data. Analysis plots were drawn from all FIA plots in the western United States on which ponderosa pine occurred. A total of 766 plots met the criteria for analysis. Selection criteria were for purity, defined as ponderosa pine basal area 80% of plot basal area...

WCPP-THE WOLF PLOTTING AND CONTOURING PACKAGE

NASA Technical Reports Server (NTRS)

Masaki, G. T.

1994-01-01

The WOLF Contouring and Plotting Package provides the user with a complete general purpose plotting and contouring capability. This package is a complete system for producing line printer, SC4020, Gerber, Calcomp, and SD4060 plots. The package has been designed to be highly flexible and easy to use. Any plot from a quick simple plot (which requires only one call to the package) to highly sophisticated plots (including motion picture plots) can be easily generated with only a basic knowledge of FORTRAN and the plot commands. Anyone designing a software system that requires plotted output will find that this package offers many advantages over the standard hardware support packages available. The WCPP package is divided into a plot segment and a contour segment. The plot segment can produce output for any combination of line printer, SC4020, Gerber, Calcomp, and SD4060 plots. The line printer plots allow the user to have plots available immediately after a job is run at a low cost. Although the resolution of line printer plots is low, the quick results allows the user to judge if a high resolution plot of a particular run is desirable. The SC4020 and SD4060 provide high speed high resolution cathode ray plots with film and hard copy output available. The Gerber and Calcomp plotters provide very high quality (of publishable quality) plots of good resolution. Being bed or drum type plotters, the Gerber and Calcomp plotters are usually slow and not suited for large volume plotting. All output for any or all of the plotters can be produced simultaneously. The types of plots supported are: linear, semi-log, log-log, polar, tabular data using the FORTRAN WRITE statement, 3-D perspective linear, and affine transformations. The labeling facility provides for horizontal labels, vertical labels, diagonal labels, vector characters of a requested size (special character fonts are easily implemented), and rotated letters. The gridding routines label the grid lines according to user specification. Special line features include multiple lines, dashed lines, and tic marks. The contour segment of this package is a collection of subroutines which can be used to produce contour plots and perform related functions. The package can contour any data which can be placed on a grid or data which is regularly spaced, including any general affine or polar grid data. The package includes routines which will grid random data. Contour levels can be specified at any values desired. Input data can be smoothed with undefined points being acceptable where data is unreliable or unknown. Plots which are extremely large or detailed can be automatically output in parts to improve resolution or overcome plotter size limitations. The contouring segment uses the plot segment for actual plotting, thus all the features described for the plotting segment are available to the user of the contouring segment. Included with this package are two data bases for producing world map plots in Mercator projection. One data base provides just continent outlines and another provides continent outlines and national borders in great detail. This package is written in FORTRAN IV and IBM OS ASSEMBLER and has been implemented on an IBM 360 with a central memory requirement of approximately 140K of 8 bit bytes. The ASSEMBLER routines are basic plotter interface routines. The WCPP package was developed in 1972.

Knowledge and skills of the lamaze certified childbirth educator: results of a job task analysis.

PubMed

Budin, Wendy C; Gross, Leon; Lothian, Judith A; Mendelson, Jeanne

2014-01-01

Content validity of certification examinations is demonstrated over time with comprehensive job analyses conducted and analyzed by experts, with data gathered from stakeholders. In November 2011, the Lamaze International Certification Council conducted a job analysis update of the 2002 job analysis survey. This article presents the background, methodology, and findings of the job analysis. Changes in the test blueprint based on these findings are presented.

PET kinetic analysis --pitfalls and a solution for the Logan plot.

PubMed

Kimura, Yuichi; Naganawa, Mika; Shidahara, Miho; Ikoma, Yoko; Watabe, Hiroshi

2007-01-01

The Logan plot is a widely used algorithm for the quantitative analysis of neuroreceptors using PET because it is easy to use and simple to implement. The Logan plot is also suitable for receptor imaging because its algorithm is fast. However, use of the Logan plot, and interpretation of the formed receptor images should be regarded with caution, because noise in PET data causes bias in the Logan plot estimates. In this paper, we describe the basic concept of the Logan plot in detail and introduce three algorithms for the Logan plot. By comparing these algorithms, we demonstrate the pitfalls of the Logan plot and discuss the solution.

The value of job analysis, job description and performance.

PubMed

Wolfe, M N; Coggins, S

1997-01-01

All companies, regardless of size, are faced with the same employment concerns. Efficient personnel management requires the use of three human resource techniques--job analysis, job description and performance appraisal. These techniques and tools are not for large practices only. Small groups can obtain the same benefits by employing these performance control measures. Job analysis allows for the development of a compensation system. Job descriptions summarize the most important duties. Performance appraisals help reward outstanding work.

Public School Educator and Teacher Educator Job Analysis Ratings of Certification Test Objectives.

ERIC Educational Resources Information Center

Silvestro, John R.; And Others

The job analysis procedures used in the development of the Illinois Certification Testing System are described. The degree of congruence between job analysis ratings provided by public school educators (PSEs) and teacher educators (TEs) who completed the job analysis surveys is examined. National Evaluation Systems, Inc., and the Illinois State…

Concurrent validation of a neurocognitive assessment protocol for clients with mental illness in job matching as shop sales in supported employment.

PubMed

Ng, S S W; Lak, D C C; Lee, S C K; Ng, P P K

2015-03-01

Occupational therapists play a major role in the assessment and referral of clients with severe mental illness for supported employment. Nonetheless, there is scarce literature about the content and predictive validity of the process. In addition, the criteria of successful job matching have not been analysed and job supervisors have relied on experience rather than objective standards in recruitment. This study aimed to explore the profile of successful clients working in 'shop sales' in a supportive environment using a neurocognitive assessment protocol, and to validate the protocol against 'internal standards' of the job supervisors. This was a concurrent validation study of criterion-related scales for a single job type. The subjective ratings from the supervisors were concurrently validated against the results of neurocognitive assessment of intellectual function and work-related cognitive behaviour. A regression model was established for clients who succeeded and failed in employment using supervisor's ratings and a cutoff value of 10.5 for the Performance Fitness Rating Scale (R(2) = 0.918, F[41] = 3.794, p = 0.003). Classification And Regression Tree was also plotted to identify the profile of cases, with an overall accuracy of 0.861 (relative error, 0.26). Use of both inference statistics and data mining techniques enables the decision tree of neurocognitive assessments to be more readily applied by therapists in vocational rehabilitation, and thus directly improve the efficiency and efficacy of the process.

Job Analysis and Workplace Design Resources for Rehabilitation.

ERIC Educational Resources Information Center

Priest, John W.; Roessler, Richard T.

1983-01-01

The authors stress the role of the multidisciplinary team in vocational rehabilitation, particularly the industrial engineer, in performing job analysis and workplace design to accommodate disabled persons in industry. Steps to effective job adaptation are charted, and methods of job analysis are discussed. (Author/MC)

Characterization and cysteine sensing performance of nanocomposites based on up-conversion excitation host and rhodamine-derived probes

NASA Astrophysics Data System (ADS)

Yuqing, Zhao; Yi, Xing; Lihua, Li; Juanjuan, Ma

2018-02-01

Optical sensing for cysteine (Cys) recognition is an interesting topic due to Cys biological participation. In this paper, two rhodamine-based chemosensors were designed for Cys optical sensing. For chemosensor photostability improvement, up-conversion nanocrystals were synthesized and used as excitation host. These nanocrystals were modified with a phase transfer reagent α-cyclodextrin (α-CD) to improve their compatibility with chemosensors. An efficient energy transfer from these nanocrystals to chemosensors under 980 nm radiation was observed and confirmed by spectral match analysis, energy transfer radius calculation and emission decay lifetime comparison. A direct bonding mechanism between Cys and chemosensors with bonding stoichiometry of 1:1 was established by Job's plot experiment. Given the presence of Cys, chemosensor emission was increased, showing emission turn on effect. These two chemosensors showed good selectivity, improved photostability and linear sensing response towards Cys.

Synthesis, antimalarial activity, heme binding and docking studies of N-substituted 4-aminoquinoline-pyrimidine molecular hybrids.

PubMed

Maurya, Shiv Shyam; Khan, Shabana I; Bahuguna, Aparna; Kumar, Deepak; Rawat, Diwan S

2017-03-31

A series of novel N-substituted 4-aminoquinoline-pyrimidine hybrids have been synthesized via simple and economic route and evaluated for their antimalarial activity. Most compounds showed potent antimalarial activity against both CQ-sensitive and CQ-resistant strains with high selectivity index. All the compounds were found to be non-toxic to the mammalian cell lines. The most active compound 7b was analysed for heme binding activity using UV-spectrophotometer. Compound was found to interact with heme and a complex formation between compound and heme in a 1:1 stoichiometry ratio was determined using job plots. The interaction of these hybrids was also investigated by the molecular docking studies in the binding site of wild type Pf-DHFR-TS and quadruple mutant Pf-DHFR-TS. The pharmacokinetic property analysis of best active compounds was also studied by ADMET prediction. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Acridine-based fluorescence chemosensors for selective sensing of Fe3+ and Ni2+ ions

NASA Astrophysics Data System (ADS)

Wang, Chaoyu; Fu, Jiaxin; Yao, Kun; Xue, Kun; Xu, Kuoxi; Pang, Xiaobin

2018-06-01

Two novel acridine-based fluorescence chemosensors (L1 and L2) were prepared and their metal ions sensing properties were investigated. L1 (L2) exhibited an excellent selective fluorescence response toward Fe3+ (Ni2+) and the stoichiometry ratio of L1-Fe3+ and L2-Ni2+ were 1:1. The detection limits of L1 and L2 were calculated by the fluorescence titration to be 4.13 μM and 1.52 μM, respectively, which were below the maximum permissive level of Fe3+ and Ni2+ ions in drinking water set by the EPA. The possible mechanism of the fluorescence detection of Fe3+ and Ni2+ had been proposed according to the analysis of Job's plot, IR spectra and ESI-MS. The determination of Fe3+ and Ni2+ ions in living cells had been applied successfully.

U.S. Army physical demands study: Identification and validation of the physically demanding tasks of combat arms occupations.

PubMed

Sharp, Marilyn A; Cohen, Bruce S; Boye, Michael W; Foulis, Stephen A; Redmond, Jan E; Larcom, Kathleen; Hydren, Jay R; Gebhardt, Deborah L; Canino, Maria C; Warr, Bradley J; Zambraski, Edward J

2017-11-01

In 2013, the U.S. Army began developing physical tests to predict a recruit's ability to perform the critical, physically demanding tasks (CPDTs) of combat arms jobs previously not open to women. The purpose of this paper is to describe the methodology and results of analyses of the accuracy and inclusiveness of the critical physically demanding task list. While the job analysis included seven combat arms jobs, only data from the 19D Cavalry Scout occupation are presented as the process was similar for all seven jobs. Job analysis METHODS: As the foundation, senior subject matter experts from each job reviewed materials and reached consensus on the CPDTs and performance standards for each job. The list was reviewed by Army leadership and provided to the researchers. The job analysis consisted of reviewing job and task related documents and field manuals, observing >900 soldiers performing the 32 CPDTs, conducting two focus groups for each job, and analyzing responses to widely distributed job analysis questionnaires. Of the 32 CPDTs identified for seven combat jobs, nine were relevant to 19D soldiers. Focus group discussions and job analysis questionnaire results supported the tasks and standards identified by subject matter experts while also identifying additional tasks. The tasks identified by subject matter experts were representative of the physically demanding aspects of the 19D occupation. Published by Elsevier Ltd.

Using Job Analysis Techniques to Understand Training Needs for Promotores de Salud.

PubMed

Ospina, Javier H; Langford, Toshiko A; Henry, Kimberly L; Nelson, Tristan Q

2018-04-01

Despite the value of community health worker programs, such as Promotores de Salud, for addressing health disparities in the Latino community, little consensus has been reached to formally define the unique roles and duties associated with the job, thereby creating unique job training challenges. Understanding the job tasks and worker attributes central to this work is a critical first step for developing the training and evaluation systems of promotores programs. Here, we present the process and findings of a job analysis conducted for promotores working for Planned Parenthood. We employed a systematic approach, the combination job analysis method, to define the job in terms of its work and worker requirements, identifying key job tasks, as well as the worker attributes necessary to effectively perform them. Our results suggest that the promotores' job encompasses a broad range of activities and requires an equally broad range of personal characteristics to perform. These results played an important role in the development of our training and evaluation protocols. In this article, we introduce the technique of job analysis, provide an overview of the results from our own application of this technique, and discuss how these findings can be used to inform a training and performance evaluation system. This article provides a template for other organizations implementing similar community health worker programs and illustrates the value of conducting a job analysis for clarifying job roles, developing and evaluating job training materials, and selecting qualified job candidates.

Job Analysis for Human Resource Management: A Review of Selected Research and Development. Manpower Research Monograph No. 36.

ERIC Educational Resources Information Center

Wilson, Michael

The report summarizes the various job analysis techniques that have been developed, discusses their applications to selected human resource management activities, and suggests priorities for further research and developmental work. The introduction defines job analysis and discusses the applications of job analysis data, and the structure of the…

The rise and fall of job analysis and the future of work analysis.

PubMed

Sanchez, Juan I; Levine, Edward L

2012-01-01

This review begins by contrasting the importance ascribed to the study of occupational requirements observed in the early twentieth-century beginnings of industrial-organizational psychology with the diminishing numbers of job analysis articles appearing in top journals in recent times. To highlight the many pending questions associated with the job-analytic needs of today's organizations that demand further inquiry, research on the three primary types of job analysis data, namely work activities, worker attributes, and work context, is reviewed. Research on competencies is also reviewed along with the goals of a potential research agenda for the emerging trend of competency modeling. The cross-fertilization of job analysis research with research from other domains such as the meaning of work, job design, job crafting, strategic change, and interactional psychology is proposed as a means of responding to the demands of today's organizations through new forms of work analysis.

Job Redesign: An Analysis of an Intervention to Improve Job Characteristics

DTIC Science & Technology

1989-09-01

vii I. Introduction . . . . . . . . . . . 1 General Issue ... . I Specific Problem . .. . . . I Research Objectives . . . . . 2...the Job Diagnostic Survey, the Minnesota Satisfaction Questionnaire and ad-hoc items pertaining to the issues of training, challenge, and the matrix...vii JOB REDESIGN: AN ANALYSIS OF AN INTERVENTION TO IMPROVE JOB CHARACTERISTICS I. Introduction General Issue This tnesis will center on whether job

Counseling Workers over 40: GULHEMP, a New Approach.

ERIC Educational Resources Information Center

Meredith, Jack

This series of presentations describe a method of job counseling and placement for the middle-aged which combines pre-employment physical worker analysis with job analysis for effective matching of job requirements with worker capacities. The matching process involves these steps: (1) job analysis by an industrial engineer; (2) worker examination…

Curcumin based chemosensor for selective detection of fluoride and cyanide anions in aqueous media.

PubMed

Ponnuvel, Kandasamy; Santhiya, Kuppusamy; Padmini, Vediappen

2016-11-30

The conjugate N,N-dimethyl curcumin analogue fluorophore dye 1 has been synthesized and its performance as a sensor was demonstrated. As a fluoride and cyanide sensor it enabled visual detection, and showed changes in UV-vis and fluorescence spectra in the presence of fluoride and cyanide ions in aqueous medium. The Job's plot indicated that the formation of a complex between dye-1 fluoride ions has a 1 : 1 stoichiometric ratio.

Historical cohort study of US man-made vitreous fiber production workers: VIII. Exposure-specific job analysis.

PubMed

Quinn, M M; Smith, T J; Youk, A O; Marsh, G M; Stone, R A; Buchanich, J M; Gula, M J

2001-09-01

All jobs held by a cohort of US man-made vitreous fiber production workers were analyzed for airborne fiber exposure. This exposure-specific job analysis was part of an exposure assessment for an epidemiologic study of mortality patterns, with particular focus on respiratory cancer, among 35,145 workers employed in 10 fiberglass and five rock or slag wool plants. The exposure assessment was conducted from the start-up date of each plant (1917 to 1946) to 1990. For the job analysis, 15,465 crude department names and 47,693 crude job titles were grouped into 1668 unique department and job pairs (UDJobs), which represented a job title linked to a specific department within each plant. Every UDJob was evaluated according to a set of job elements related to airborne fiber exposure. The distribution of the cohort person-years by UDJob and the job-exposure elements was then evaluated. The results show the main departments and jobs that employed the workers for each plant. The distribution of person-years varies across the job-exposure elements. The same job title was used in different departments within and across plants. When job titles not linked to departments were evaluated, the values of the job-exposure elements varied considerably across all plants and within plant. (1) exposure misclassification could occur if job title alone were used for the exposure assessment; (2) the job-exposure elements analysis provides an efficient way to identify major job determinants of exposure without relying on the more detailed, resource-intensive task-based approach; and (3) the evaluation of the cohort person-years by UDJobs and job-exposure elements is an effective way to identify which plants, departments, and jobs have sufficient information for making precise risk estimates in the broader epidemiologic study.

Educational and Scientific Applications of Climate Model Diagnostic Analyzer

NASA Astrophysics Data System (ADS)

Lee, S.; Pan, L.; Zhai, C.; Tang, B.; Kubar, T. L.; Zhang, J.; Bao, Q.

2016-12-01

Climate Model Diagnostic Analyzer (CMDA) is a web-based information system designed for the climate modeling and model analysis community to analyze climate data from models and observations. CMDA provides tools to diagnostically analyze climate data for model validation and improvement, and to systematically manage analysis provenance for sharing results with other investigators. CMDA utilizes cloud computing resources, multi-threading computing, machine-learning algorithms, web service technologies, and provenance-supporting technologies to address technical challenges that the Earth science modeling and model analysis community faces in evaluating and diagnosing climate models. As CMDA infrastructure and technology have matured, we have developed the educational and scientific applications of CMDA. Educationally, CMDA supported the summer school of the JPL Center for Climate Sciences for three years since 2014. In the summer school, the students work on group research projects where CMDA provide datasets and analysis tools. Each student is assigned to a virtual machine with CMDA installed in Amazon Web Services. A provenance management system for CMDA is developed to keep track of students' usages of CMDA, and to recommend datasets and analysis tools for their research topic. The provenance system also allows students to revisit their analysis results and share them with their group. Scientifically, we have developed several science use cases of CMDA covering various topics, datasets, and analysis types. Each use case developed is described and listed in terms of a scientific goal, datasets used, the analysis tools used, scientific results discovered from the use case, an analysis result such as output plots and data files, and a link to the exact analysis service call with all the input arguments filled. For example, one science use case is the evaluation of NCAR CAM5 model with MODIS total cloud fraction. The analysis service used is Difference Plot Service of Two Variables, and the datasets used are NCAR CAM total cloud fraction and MODIS total cloud fraction. The scientific highlight of the use case is that the CAM5 model overall does a fairly decent job at simulating total cloud cover, though simulates too few clouds especially near and offshore of the eastern ocean basins where low clouds are dominant.

ReQON: a Bioconductor package for recalibrating quality scores from next-generation sequencing data

PubMed Central

2012-01-01

Background Next-generation sequencing technologies have become important tools for genome-wide studies. However, the quality scores that are assigned to each base have been shown to be inaccurate. If the quality scores are used in downstream analyses, these inaccuracies can have a significant impact on the results. Results Here we present ReQON, a tool that recalibrates the base quality scores from an input BAM file of aligned sequencing data using logistic regression. ReQON also generates diagnostic plots showing the effectiveness of the recalibration. We show that ReQON produces quality scores that are both more accurate, in the sense that they more closely correspond to the probability of a sequencing error, and do a better job of discriminating between sequencing errors and non-errors than the original quality scores. We also compare ReQON to other available recalibration tools and show that ReQON is less biased and performs favorably in terms of quality score accuracy. Conclusion ReQON is an open source software package, written in R and available through Bioconductor, for recalibrating base quality scores for next-generation sequencing data. ReQON produces a new BAM file with more accurate quality scores, which can improve the results of downstream analysis, and produces several diagnostic plots showing the effectiveness of the recalibration. PMID:22946927

[Heart rate variability study based on a novel RdR RR Intervals Scatter Plot].

PubMed

Lu, Hongwei; Lu, Xiuyun; Wang, Chunfang; Hua, Youyuan; Tian, Jiajia; Liu, Shihai

2014-08-01

On the basis of Poincare scatter plot and first order difference scatter plot, a novel heart rate variability (HRV) analysis method based on scatter plots of RR intervals and first order difference of RR intervals (namely, RdR) was proposed. The abscissa of the RdR scatter plot, the x-axis, is RR intervals and the ordinate, y-axis, is the difference between successive RR intervals. The RdR scatter plot includes the information of RR intervals and the difference between successive RR intervals, which captures more HRV information. By RdR scatter plot analysis of some records of MIT-BIH arrhythmias database, we found that the scatter plot of uncoupled premature ventricular contraction (PVC), coupled ventricular bigeminy and ventricular trigeminy PVC had specific graphic characteristics. The RdR scatter plot method has higher detecting performance than the Poincare scatter plot method, and simpler and more intuitive than the first order difference method.

True versus perturbed forest inventory plot locations for modeling: a simulation study

Treesearch

John W. Coulston; Kurt H. Riitters; Ronald E. McRoberts; William D. Smith

2006-01-01

USDA Forest Service Forest Inventory and Analysis plot information is widely used for timber inventories, forest health assessments, and environmental risk analyses. With few exceptions, true plot locations are not revealed; the plot coordinates are manipulated to obscure the location of field plots and thereby preserve plot integrity. The influence of perturbed plot...

Is job a viable unit of analysis? A multilevel analysis of demand-control-support models.

PubMed

Morrison, David; Payne, Roy L; Wall, Toby D

2003-07-01

The literature has ignored the fact that the demand-control (DC) and demand-control-support (DCS) models of stress are about jobs and not individuals' perceptions of their jobs. Using multilevel modeling, the authors report results of individual- and job-level analyses from a study of over 6,700 people in 81 different jobs. Support for additive versions of the models came when individuals were the unit of analysis. DC and DCS models are only helpful for understanding the effects of individual perceptions of jobs and their relationship to psychological states. When job perceptions are aggregated and their relationship to the collective experience of jobholders is assessed, the models prove of little value. Role set may be a better unit of analysis.

The Application of Structured Job Analysis Information Based on the Position Analysis Questionnaire (PAQ). Final Report No. 9.

ERIC Educational Resources Information Center

McCormick, Ernest J.

The Position Analysis Questionnaire (PAQ) is a job analysis instrument consisting of 187 job elements organized into six divisions. The PAQ was used in the eight studies summarized in this final report. The studies were: (1) ratings of the attribute requirements of PAQ job elements, (2) a series of principal components analyses of these attribute…

Recurrence quantification analysis of electrically evoked surface EMG signal.

PubMed

Liu, Chunling; Wang, Xu

2005-01-01

Recurrence Plot is a quite useful tool used in time-series analysis, in particular for measuring unstable periodic orbits embedded in a chaotic dynamical system. This paper introduced the structures of the Recurrence Plot and the ways of the plot coming into being. Then the way of the quantification of the Recurrence Plot is defined. In this paper, one of the possible applications of Recurrence Quantification Analysis (RQA) strategy to the analysis of electrical stimulation evoked surface EMG. The result shows the percent determination is increased along with stimulation intensity.

[Effect of occupational stress on mental health].

PubMed

Yu, Shan-fa; Zhang, Rui; Ma, Liang-qing; Gu, Gui-zhen; Yang, Yan; Li, Kui-rong

2003-02-01

To study the effect of job psychological demands and job control on mental health and their interaction. 93 male freight train dispatchers were evaluated by using revised Job Demand-Control Scale and 7 strain scales. Stepwise regression analysis, Univariate ANOVA, Kruskal-Wallis H and Modian methods were used in statistic analysis. Kruskal-Wallis H and Modian methods analysis revealed the difference in mental health scores among groups of decision latitude (mean rank 55.57, 47.95, 48.42, 33.50, P < 0.05), the differences in scores of mental health (37.45, 40.01, 58.35), job satisfaction (53.18, 46.91, 32.43), daily life strains (33.00, 44.96, 56.12) and depression (36.45, 42.25, 53.61) among groups of job time demands (P < 0.05) were all statistically significant. ANOVA showed that job time demands and decision latitude had interaction effects on physical complains (R(2) = 0.24), state-anxiety (R(2) = 0.26), and daytime fatigue (R(2) = 0.28) (P < 0.05). Regression analysis revealed a significant job time demands and job decision latitude interaction effect as well as significant main effects of the some independent variables on different job strains (R(2) > 0.05). Job time demands and job decision latitude have direct and interactive effects on psychosomatic health, the more time demands, the more psychological strains, the effect of job time demands is greater than that of job decision latitude.

Master plot analysis of microcracking in graphite/epoxy and graphite/PEEK laminates

NASA Technical Reports Server (NTRS)

Nairn, John A.; Hu, Shoufeng; Bark, Jong Song

1993-01-01

We used a variational stress analysis and an energy release rate failure criterion to construct a master plot analysis of matrix microcracking. In the master plot, the results for all laminates of a single material are predicted to fall on a single line whose slope gives the microcracking toughness of the material. Experimental results from 18 different layups of AS4/3501-6 laminates show that the master plot analysis can explain all observations. In particular, it can explain the differences between microcracking of central 90 deg plies and of free-surface 90 deg plies. Experimental results from two different AS4/PEEK laminates tested at different temperatures can be explained by a modified master plot that accounts for changes in the residual thermal stresses. Finally, we constructed similar master plot analyses for previous literature microcracking models. All microcracking theories that ignore the thickness dependence of the stresses gave poor results.

A Job Announcement Analysis of Educational Technology Professional Positions: Knowledge, Skills, and Abilities

ERIC Educational Resources Information Center

Kang, YoungJu; Ritzhaupt, Albert D.

2015-01-01

The purpose of this research was to identify the competencies of an educational technologist via a job announcement analysis. Four hundred job announcements were collected from a variety of online job databases over a 5-month period. Following a systematic process of collection, documentation, and analysis, we derived over 150 knowledge, skill,…

Quantitative exposure matrix for asphalt fume, total particulate matter, and respirable crystalline silica among roofing and asphalt manufacturing workers.

PubMed

Fayerweather, William E; Trumbore, David C; Johnson, Kathleen A; Niebo, Ronald W; Maxim, L Daniel

2011-09-01

This paper summarizes available data on worker exposures to asphalt fume (soluble fraction), total particulate matter, and respirable crystalline silica (quartz) [hereinafter RCS] over a 30-year period in Owens Corning's asphalt production and roofing manufacturing plants. For the period 1977 through 2006, the air-monitoring database contains more than 1,400 personal samples for asphalt fume (soluble fraction), 2,400 personal samples for total particulate, and 1,300 personal samples for RCS. Unique process-job categories were identified for the asphalt production and roofing shingle manufacturing plants. Quantitative exposures were tabulated by agent, process-job, and calendar period to form an exposure matrix for use in subsequent epidemiologic studies of the respiratory health of these workers. Analysis of time trends in exposure data shows substantial and statistically significant exposure reductions for asphalt fume (soluble fraction), total particulate matter, and respirable crystalline silica at Owens Corning plants. Cumulative distribution plots for the most recent sampling period (2001-2006) show that 95% of the asphalt fume (soluble fraction) measurements were less than 0.25 mg/m3; 95% of the total particulate measurements were less than 2.2 mg/m3; and 95% of the RCS measurements were less than 0.05 mg/m3. Several recommendations are offered to improve the design of future monitoring efforts.

Job Task Analysis.

ERIC Educational Resources Information Center

Clemson Univ., SC.

This publication consists of job task analyses for jobs in textile manufacturing. Information provided for each job in the greige and finishing plants includes job title, job purpose, and job duties with related educational objectives, curriculum, assessment, and outcome. These job titles are included: yarn manufacturing head overhauler, yarn…

Analytical and experimental investigation of a 1/8-scale dynamic model of the shuttle orbiter. Volume 3B: Supporting data

NASA Technical Reports Server (NTRS)

Mason, P. W.; Harris, H. G.; Zalesak, J.; Bernstein, M.

1974-01-01

The NASA Structural Analysis System (NASTRAN) Model 1 finite element idealization, input data, and detailed analytical results are presented. The data presented include: substructuring analysis for normal modes, plots of member data, plots of symmetric free-free modes, plots of antisymmetric free-free modes, analysis of the wing, analysis of the cargo doors, analysis of the payload, and analysis of the orbiter.

Two sugar-rhodamine "turn-on" fluorescent probes for the selective detection of Fe3 +

NASA Astrophysics Data System (ADS)

Chen, Qing; Fang, Zhijie

2018-03-01

Two new sugar-rhodamine fluorescent probes (RDG1 and RDG2) have been synthesized and characterized by 1H NMR, 13C NMR and HRMS. Their UV-Vis, fluorescence spectra and fluorescence-response to Fe3 + are investigated and discussed. RDG1 had a very nice linear relationship between UV absorbance and Fe3 + concentration with the correlation coefficient as high as 0.997 and the detection limit is 3.46 × 10- 6 M. Upon the addition of Fe3 +, the spirolactam ring of RDG1 was opened and a 1:1 metal ligand complex was formed from Job's plot. The results showed that RDG1 can be used as an effective fluorescent probe for selective detection of Fe3 + in water. RDG2 was incorporated the well-known rhodamine group and a water-soluble D-glucose group within one molecule and can be used for detecting Fe3 + in natural water as a selective fluorescent sensor. The addition of Fe3 + into RDG2 resulted in a strongly enhanced fluorescence as well as color change of solution from colorless to pink. Job's plot of RDG2 indicated 1:1 stoichiometry of RDG2-Fe3 +. RDG2 can serve as a probe for Fe3 + between pH = 4.0 to 7.0 and it's detection limit is 2.09 × 10- 6 M. The OFF-ON fluorescent mechanisms of RDG1-Fe3 + and RDG2-Fe3 + are proposed.

Job loss, human capital job feature, and work condition job feature as distinct job insecurity constructs.

PubMed

Blau, Gary; Tatum, Donna Surges; McCoy, Keith; Dobria, Lidia; Ward-Cook, Kory

2004-01-01

The projected growth of new technologies, increasing use of automation, and continued consolidation of health-related services suggest that continued study of job insecurity is needed for health care professionals. Using a sample of 178 medical technologists over a 5-year period, this study's findings extend earlier work by Blau and Sharp (2000) and suggest that job loss insecurity, human capital job feature insecurity, and work condition job feature insecurity are related but distinct types of job insecurity. A seven-item measure of job loss insecurity, a four-item measure of human capital job feature insecurity, and a four-item measure of work condition job feature insecurity were analyzed. Confirmatory factor analysis using a more heterogeneous sample of 447 working adults supported this three-factor structure. Using correlation and path analysis, different significant relationships of antecedent variables and subsequent organizational withdrawal cognitions to these three types of job insecurity were found.

Impact of job characteristics on psychological health of Chinese single working women.

PubMed

Yeung, D Y; Tang, C S

2001-01-01

This study aims at investigating the impact of individual and contextual job characteristics of control, psychological and physical demand, and security on psychological distress of 193 Chinese single working women in Hong Kong. The mediating role of job satisfaction in the job characteristics-distress relation is also assessed. Multiple regression analysis results show that job satisfaction mediates the effects of job control and security in predicting psychological distress; whereas psychological job demand has an independent effect on mental distress after considering the effect of job satisfaction. This main effect model indicates that psychological distress is best predicted by small company size, high psychological job demand, and low job satisfaction. Results from a separate regression analysis fails to support the overall combined effect of job demand-control on psychological distress. However, a significant physical job demand-control interaction effect on mental distress is noted, which reduces slightly after controlling the effect of job satisfaction.

Tuning Sensory Properties of Triazole-Conjugated Spiropyrans: Metal-Ion Selectivity and Paper-Based Colorimetric Detection of Cyanide

PubMed Central

Lee, Juhyen; Choi, Eun Jung; Kim, Inwon; Lee, Minhe; Satheeshkumar, Chinnadurai; Song, Changsik

2017-01-01

Tuning the sensing properties of spiropyrans (SPs), which are one of the photochromic molecules useful for colorimetric sensing, is important for efficient analysis, but their synthetic modification is not always simple. Herein, we introduce an alkyne-functionalized SP, the modification of which would be easily achieved via Cu-catalyzed azide-alkyne cycloaddition (“click reaction”). The alkyne-SP was conjugated with a bis(triethylene glycol)-benzyl group (EG-BtSP) or a simple benzyl group (BtSP), forming a triazole linkage from the click reaction. The effects of auxiliary groups to SP were tested on metal-ion sensing and cyanide detection. We found that EG-BtSP was more Ca2+-sensitive than BtSP in acetonitrile, which were thoroughly examined by a continuous variation method (Job plot) and UV-VIS titrations, followed by non-linear regression analysis. Although both SPs showed similar, selective responses to cyanide in a water/acetonitrile co-solvent, only EG-BtSP showed a dramatic color change when fabricated on paper, highlighting the important contributions of the auxiliary groups. PMID:28783127

Using CODAP Job Analysis for the Development of Integrated Training Requirements for Three Army Civilian Career Fields.

ERIC Educational Resources Information Center

Fisher, Gerald P.; And Others

A multiuse Comprehensive Occupational Data Analysis Program (CODAP) job analysis is being used to develop training requirements and selection criteria for three interrelated Army civilian logistics career fields. Individual job task lists for the 20 job series within the three career programs were developed. The lists were based on a review of…

Job Literacy Analysis: A Practical Methodology for Use in Identifying Job-Related Literacy Skills.

ERIC Educational Resources Information Center

Norback, Judith Shaul; And Others

The Job Literacy Analysis (JLA) was developed in response to the need for analyzing the literacy requirements of various occupations in an effort to match the instruction to the job and to enhance the job relatedness of curricula. It is a systematic, comprehensive process for identifying the important literacy skills needed by workers to function…

Determinants of job stress in chemical process industry: A factor analysis approach.

PubMed

Menon, Balagopal G; Praveensal, C J; Madhu, G

2015-01-01

Job stress is one of the active research domains in industrial safety research. The job stress can result in accidents and health related issues in workers in chemical process industries. Hence it is important to measure the level of job stress in workers so as to mitigate the same to avoid the worker's safety related problems in the industries. The objective of this study is to determine the job stress factors in the chemical process industry in Kerala state, India. This study also aims to propose a comprehensive model and an instrument framework for measuring job stress levels in the chemical process industries in Kerala, India. The data is collected through a questionnaire survey conducted in chemical process industries in Kerala. The collected data out of 1197 surveys is subjected to principal component and confirmatory factor analysis to develop the job stress factor structure. The factor analysis revealed 8 factors that influence the job stress in process industries. It is also found that the job stress in employees is most influenced by role ambiguity and the least by work environment. The study has developed an instrument framework towards measuring job stress utilizing exploratory factor analysis and structural equation modeling.

Development and validation of an instrument to assess job satisfaction in eye-care personnel.

PubMed

Paudel, Prakash; Cronjé, Sonja; O'Connor, Patricia M; Khadka, Jyoti; Rao, Gullapalli N; Holden, Brien A

2017-11-01

The aim was to develop and validate an instrument to measure job satisfaction in eye-care personnel and assess the job satisfaction of one-year trained vision technicians in India. A pilot instrument for assessing job satisfaction was developed, based on a literature review and input from a public health expert panel. Rasch analysis was used to assess psychometric properties and to undertake an iterative item reduction. The instrument was then administered to vision technicians in vision centres of Andhra Pradesh in India. Associations between vision technicians' job satisfaction and factors such as age, gender and experience were analysed using t-test and one-way analysis of variance. Rasch analysis confirmed that the 15-item job satisfaction in eye-care personnel (JSEP) was a unidimensional instrument with good fit statistics, measurement precisions and absence of differential item functioning. Overall, vision technicians reported high rates of job satisfaction (0.46 logits). Age, gender and experience were not associated with high job satisfaction score. Item score analysis showed non-financial incentives, salary and workload were the most important determinants of job satisfaction. The 15-item JSEP instrument is a valid instrument for assessing job satisfaction among eye-care personnel. Overall, vision technicians in India demonstrated high rates of job satisfaction. © 2016 Optometry Australia.

Visual evaluation of kinetic characteristics of PET probe for neuroreceptors using a two-phase graphic plot analysis.

PubMed

Ito, Hiroshi; Ikoma, Yoko; Seki, Chie; Kimura, Yasuyuki; Kawaguchi, Hiroshi; Takuwa, Hiroyuki; Ichise, Masanori; Suhara, Tetsuya; Kanno, Iwao

2017-05-01

Objectives In PET studies for neuroreceptors, tracer kinetics are described by the two-tissue compartment model (2-TCM), and binding parameters, including the total distribution volume (V T ), non-displaceable distribution volume (V ND ), and binding potential (BP ND ), can be determined from model parameters estimated by kinetic analysis. The stability of binding parameter estimates depends on the kinetic characteristics of radioligands. To describe these kinetic characteristics, we previously developed a two-phase graphic plot analysis in which V ND and V T can be estimated from the x-intercept of regression lines for early and delayed phases, respectively. In this study, we applied this graphic plot analysis to visual evaluation of the kinetic characteristics of radioligands for neuroreceptors, and investigated a relationship between the shape of these graphic plots and the stability of binding parameters estimated by the kinetic analysis with 2-TCM in simulated brain tissue time-activity curves (TACs) with various binding parameters. Methods 90-min TACs were generated with the arterial input function and assumed kinetic parameters according to 2-TCM. Graphic plot analysis was applied to these simulated TACs, and the curvature of the plot for each TAC was evaluated visually. TACs with several noise levels were also generated with various kinetic parameters, and the bias and variation of binding parameters estimated by kinetic analysis were calculated in each TAC. These bias and variation were compared with the shape of graphic plots. Results The graphic plots showed larger curvature for TACs with higher specific binding and slower dissociation of specific binding. The quartile deviations of V ND and BP ND determined by kinetic analysis were smaller for radioligands with slow dissociation. Conclusions The larger curvature of graphic plots for radioligands with slow dissociation might indicate a stable determination of V ND and BP ND by kinetic analysis. For investigation of the kinetics of radioligands, such kinetic characteristics should be considered.

Job Analysis and the Preparation of Job Descriptions. Mendip Papers MP 037.

ERIC Educational Resources Information Center

Saunders, Bob

This document provides guidelines for conducting job analyses and writing job descriptions. It covers the following topics: the rationale for job descriptions, the terminology of job descriptions, who should write job descriptions, getting the information to write job descriptions, preparing for staff interviews, conducting interviews, writing the…

Job Sharing--Opportunities or Headaches?

ERIC Educational Resources Information Center

Leighton, Patricia

1986-01-01

Discusses the issue of job sharing as a new alternative available to workers. Topics covered include (1) a profile of job sharers, (2) response to job sharing, (3) establishing a job share, (4) job sharing in operation, and (5) legal analysis of job sharing. (CH)

GRAFLAB 2.3 for UNIX - A MATLAB database, plotting, and analysis tool: User`s guide

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dunn, W.N.

1998-03-01

This report is a user`s manual for GRAFLAB, which is a new database, analysis, and plotting package that has been written entirely in the MATLAB programming language. GRAFLAB is currently used for data reduction, analysis, and archival. GRAFLAB was written to replace GRAFAID, which is a FORTRAN database, analysis, and plotting package that runs on VAX/VMS.

Spectroscopic and theoretical studies of charge-transfer interaction of 1-(2-pyridylazo)-2-napthol with nitroaromatics

NASA Astrophysics Data System (ADS)

Karmakar, Animesh; Singh, Bula

2017-05-01

1-(2-Pyridylazo)-2-napthol (hereafter 1Q) is widely used as a chelating ligand applied in chelatometric, spectrophotometric analysis of metal ions. It appeared from the literature survey that no inclusion complex of 1Q was reported with nitroaromatics. The formation of charge-transfer complex gives an opportunity to improve the physico-chemical properties of different donors. So the complex of 1Q with 4-nitrophenol (4-NP), 2,4-dinitrophenol (2,4-DNP), picric acid (PA), and 3,5-dinitrosalicylic acid (3,5-DNSA) was described in this work in methanol medium. The ground and excited state binding constants and other spectroscopic data have been determined using UV-vis and fluorescence spectroscopic studies. All the complexes have been synthesized and characterized using FT-IR, 1H NMR, and elemental analysis. Spectroscopic data reveal that 1Q joins by a N+sbnd Hsbnd O- type hydrogen bond with nitroaromatics. Job's plot of the continuous variation of absorbance indicates that stoichiometry of CT-complex was 1:1. Thermal stability of the synthesized complex has determined by TGA-DTA analysis. Energy-minimization DFT calculation further supported the formation of the H-bonded charge-transfer adduct.

A framework for graph-based synthesis, analysis, and visualization of HPC cluster job data.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mayo, Jackson R.; Kegelmeyer, W. Philip, Jr.; Wong, Matthew H.

The monitoring and system analysis of high performance computing (HPC) clusters is of increasing importance to the HPC community. Analysis of HPC job data can be used to characterize system usage and diagnose and examine failure modes and their effects. This analysis is not straightforward, however, due to the complex relationships that exist between jobs. These relationships are based on a number of factors, including shared compute nodes between jobs, proximity of jobs in time, etc. Graph-based techniques represent an approach that is particularly well suited to this problem, and provide an effective technique for discovering important relationships in jobmore » queuing and execution data. The efficacy of these techniques is rooted in the use of a semantic graph as a knowledge representation tool. In a semantic graph job data, represented in a combination of numerical and textual forms, can be flexibly processed into edges, with corresponding weights, expressing relationships between jobs, nodes, users, and other relevant entities. This graph-based representation permits formal manipulation by a number of analysis algorithms. This report presents a methodology and software implementation that leverages semantic graph-based techniques for the system-level monitoring and analysis of HPC clusters based on job queuing and execution data. Ontology development and graph synthesis is discussed with respect to the domain of HPC job data. The framework developed automates the synthesis of graphs from a database of job information. It also provides a front end, enabling visualization of the synthesized graphs. Additionally, an analysis engine is incorporated that provides performance analysis, graph-based clustering, and failure prediction capabilities for HPC systems.« less

Plotting equation for gaussian percentiles and a spreadsheet program for generating probability plots

USGS Publications Warehouse

Balsillie, J.H.; Donoghue, J.F.; Butler, K.M.; Koch, J.L.

2002-01-01

Two-dimensional plotting tools can be of invaluable assistance in analytical scientific pursuits, and have been widely used in the analysis and interpretation of sedimentologic data. We consider, in this work, the use of arithmetic probability paper (APP). Most statistical computer applications do not allow for the generation of APP plots, because of apparent intractable nonlinearity of the percentile (or probability) axis of the plot. We have solved this problem by identifying an equation(s) for determining plotting positions of Gaussian percentiles (or probabilities), so that APP plots can easily be computer generated. An EXCEL example is presented, and a programmed, simple-to-use EXCEL application template is hereby made publicly available, whereby a complete granulometric analysis including data listing, moment measure calculations, and frequency and cumulative APP plots, is automatically produced.

The Construction of Job Families Based on Company Specific PAQ Job Dimensions.

ERIC Educational Resources Information Center

Taylor, L. R.; Colbert, G. A.

1978-01-01

Research is presented on the construction of job families based on Position Analysis Questionnaire data. The data were subjected to a component analysis. Results were interpreted as sufficiently encouraging to proceed with analyses of validity generalization within the job families. (Editor/RK)

Job Analysis, Job Descriptions, and Performance Appraisal Systems.

ERIC Educational Resources Information Center

Sims, Johnnie M.; Foxley, Cecelia H.

1980-01-01

Job analysis, job descriptions, and performance appraisal can benefit student services administration in many ways. Involving staff members in the development and implementation of these techniques can increase commitment to and understanding of the overall objectives of the office, as well as communication and cooperation among colleagues.…

Identifying the "Right Stuff": An Exploration-Focused Astronaut Job Analysis

NASA Technical Reports Server (NTRS)

Barrett, J. D.; Holland, A. W.; Vessey, W. B.

2015-01-01

Industrial and organizational (I/O) psychologists play a key role in NASA astronaut candidate selection through the identification of the competencies necessary to successfully engage in the astronaut job. A set of psychosocial competencies, developed by I/O psychologists during a prior job analysis conducted in 1996 and updated in 2003, were identified as necessary for individuals working and living in the space shuttle and on the International Space Station (ISS). This set of competencies applied to the space shuttle and applies to current ISS missions, but may not apply to longer-duration or long-distance exploration missions. With the 2015 launch of the first 12- month ISS mission and the shift in the 2020s to missions beyond low earth orbit, the type of missions that astronauts will conduct and the environment in which they do their work will change dramatically, leading to new challenges for these crews. To support future astronaut selection, training, and research, I/O psychologists in NASA's Behavioral Health and Performance (BHP) Operations and Research groups engaged in a joint effort to conduct an updated analysis of the astronaut job for current and future operations. This project will result in the identification of behavioral competencies critical to performing the astronaut job, along with relative weights for each of the identified competencies, through the application of job analysis techniques. While this job analysis is being conducted according to job analysis best practices, the project poses a number of novel challenges. These challenges include the need to identify competencies for multiple mission types simultaneously, to evaluate jobs that have no incumbents as they have never before been conducted, and working with a very limited population of subject matter experts. Given these challenges, under the guidance of job analysis experts, we used the following methods to conduct the job analysis and identify the key competencies for current and potential future missions.

Factors affecting job satisfaction in nurse faculty: a meta-analysis.

PubMed

Gormley, Denise K

2003-04-01

Evidence in the literature suggests job satisfaction can make a difference in keeping qualified workers on the job, but little research has been conducted focusing specifically on nursing faculty. Several studies have examined nurse faculty satisfaction in relationship to one or two influencing factors. These factors include professional autonomy, leader role expectations, organizational climate, perceived role conflict and role ambiguity, leadership behaviors, and organizational characteristics. This meta-analysis attempts to synthesize the various studies conducted on job satisfaction in nursing faculty and analyze which influencing factors have the greatest effect. The procedure used for this meta-analysis consisted of reviewing studies to identify factors influencing job satisfaction, research questions, sample size reported, instruments used for measurement of job satisfaction and influencing factors, and results of statistical analysis.

Advancements in LiDAR-based registration of FIA field plots

Treesearch

Demetrios Gatziolis

2012-01-01

Meaningful integration of National Forest Inventory field plot information with spectral imagery acquired from satellite or airborne platforms requires precise plot registration. Global positioning system-based plot registration procedures, such as the one employed by the Forest Inventory and Analysis (FIA) Program, yield plot coordinates that, although adequate for...

Fluorescent Sensing of Guanine and Guanosine Monophosphate with Conjugated Receptors Incorporating Aniline and Naphthyridine Moieties.

PubMed

Lu, Shao-Hung; Phang, Riping; Fang, Jim-Min

2016-04-15

Ethyne-linked naphthyridine-aniline conjugated molecules are selective sensors of decylguanine in dichloromethane and guanosine monophosphate in water (Kass = 16,000 M(-1)). The 2-acetamido-1,8-naphthyridine moiety binds with guanine in a DAA-ADD triply hydrogen-bonded motif. The aniline moiety enhances an electron-donating effect, and the substituent is tuned to attain extra hydrogen bonds, π-π stacking, and electrostatic interactions. The proposed binding modes are supported by a Job plot, ESI-MS, (1)H NMR, UV-vis, and fluorescence spectral analyses.

Academics Job Satisfaction and Job Stress across Countries in the Changing Academic Environments

ERIC Educational Resources Information Center

Shin, Jung Cheol; Jung, Jisun

2014-01-01

This study examined job satisfaction and job stress across 19 higher education systems. We classified the 19 countries according to their job satisfaction and job stress and applied regression analysis to test whether new public management has impacts on either or both job satisfaction and job stress. According to this study, strong market driven…

A method for analyzing temporal patterns of variability of a time series from Poincare plots.

PubMed

Fishman, Mikkel; Jacono, Frank J; Park, Soojin; Jamasebi, Reza; Thungtong, Anurak; Loparo, Kenneth A; Dick, Thomas E

2012-07-01

The Poincaré plot is a popular two-dimensional, time series analysis tool because of its intuitive display of dynamic system behavior. Poincaré plots have been used to visualize heart rate and respiratory pattern variabilities. However, conventional quantitative analysis relies primarily on statistical measurements of the cumulative distribution of points, making it difficult to interpret irregular or complex plots. Moreover, the plots are constructed to reflect highly correlated regions of the time series, reducing the amount of nonlinear information that is presented and thereby hiding potentially relevant features. We propose temporal Poincaré variability (TPV), a novel analysis methodology that uses standard techniques to quantify the temporal distribution of points and to detect nonlinear sources responsible for physiological variability. In addition, the analysis is applied across multiple time delays, yielding a richer insight into system dynamics than the traditional circle return plot. The method is applied to data sets of R-R intervals and to synthetic point process data extracted from the Lorenz time series. The results demonstrate that TPV complements the traditional analysis and can be applied more generally, including Poincaré plots with multiple clusters, and more consistently than the conventional measures and can address questions regarding potential structure underlying the variability of a data set.

A Job Analysis for K-8 Principals in a Nationwide Charter School System

ERIC Educational Resources Information Center

Cumings, Laura; Coryn, Chris L. S.

2009-01-01

Background: Although no single technique on its own can predict job performance, a job analysis is a customary approach for identifying the relevant knowledge, skills, abilities, and other characteristics (KSAO) necessary to successfully complete the job tasks of a position. Once the position requirements are identified, the hiring process is…

Distance Learning Skills and Responsibilities: A Content Analysis of Job Announcements 1996-2010

ERIC Educational Resources Information Center

Rebmann, Kristen Radsliff; Molitor, Simone; Rainey, Bonnie

2012-01-01

Archived job advertisements from the "International Federation of Library Associations and Institutions (IFLA) LIBJOBS" mailing list (1996-2010) were examined using content analysis. Findings suggest that distance learning (DL) skillsets as job qualifications emerged in the late 1990's and continue to be relevant today. Jobs with DL…

Job Descriptions and Organizational Analysis for Hospitals and Related Health Services.

ERIC Educational Resources Information Center

Manpower Administration (DOL), Washington, DC. U.S. Training and Employment Service.

Descriptions of 238 hospital payroll jobs are based on a job analysis study of all jobs within specified departments of 27 hospitals, and are intended for use of public employment offices and as a source of occupational information for hospital personnel administrators. Under major sections corresponding to the hospital divisions of…

How To ... Guide

Treesearch

Duncan C. Lutes; Robert E. Keane; John F. Caratti; Carl H. Key; Nathan C. Benson

2006-01-01

This is probably the most critical phase of FIREMON sampling because this plot ID must be unique across all plots that will be entered in the FIREMON database. The plot identifier is made up of three parts: Registration Code, Project Code, and Plot Number.The FIREMON Analysis Tools program will allow summarization and comparison of plots only if...

Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Billman, L.; Keyser, D.

The Jobs and Economic Development Impacts (JEDI) models, developed by the National Renewable Energy Laboratory (NREL) for the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), use input-output methodology to estimate gross (not net) jobs and economic impacts of building and operating selected types of renewable electricity generation and fuel plants. This analysis provides the DOE with an assessment of the value, impact, and validity of the JEDI suite of models. While the models produce estimates of jobs, earnings, and economic output, this analysis focuses only on jobs estimates. This validation report includes an introductionmore » to JEDI models, an analysis of the value and impact of the JEDI models, and an analysis of the validity of job estimates generated by JEDI model through comparison to other modeled estimates and comparison to empirical, observed jobs data as reported or estimated for a commercial project, a state, or a region.« less

Job Analysis: A Local Government's Experience.

ERIC Educational Resources Information Center

Urbanek, Steve J.

1997-01-01

A county personnel department undertook reclassification of all positions by collecting and using job analysis data to rewrite job descriptions. External pay equity and validated selection procedures resulted with only a modest increase in payroll costs. (SK)

A Comparative Study of Male and Female Early Childhood Teachers' Job Satisfaction in Turkey

ERIC Educational Resources Information Center

Sahin, Fatma Tezel; Sak, Ramazan

2016-01-01

The aim of the present study is to provide a comparative analysis of job satisfaction among male and female teachers in early childhood education. A total of 163 teachers participated in the study, which utilized Tahta's (An analysis of job satisfaction of preschool teachers, Hacettepe University, Ankara, 1995) Job Satisfaction Survey and a…

Adapting Job Analysis Methodology to Improve Evaluation Practice

ERIC Educational Resources Information Center

Jenkins, Susan M.; Curtin, Patrick

2006-01-01

This article describes how job analysis, a method commonly used in personnel research and organizational psychology, provides a systematic method for documenting program staffing and service delivery that can improve evaluators' knowledge about program operations. Job analysis data can be used to increase evaluators' insight into how staffs…

A Comparison of Holistic versus Decomposed Rating of Position Analysis Questionnaire Work Dimensions.

ERIC Educational Resources Information Center

Butler, Stephanie K.; Harvey, Robert J.

1988-01-01

Examined technique for improving cost-effectiveness of Position Analysis Questionnaire (PAQ) in job analysis. Professional job analysts, industrial psychology graduate students familiar with PAQ, and PAQ-unfamiliar undergraduates made direct holistic ratings of PAQ dimensions for four familiar jobs. Comparison of holistic ratings with decomposed…

Storage element performance optimization for CMS analysis jobs

NASA Astrophysics Data System (ADS)

Behrmann, G.; Dahlblom, J.; Guldmyr, J.; Happonen, K.; Lindén, T.

2012-12-01

Tier-2 computing sites in the Worldwide Large Hadron Collider Computing Grid (WLCG) host CPU-resources (Compute Element, CE) and storage resources (Storage Element, SE). The vast amount of data that needs to processed from the Large Hadron Collider (LHC) experiments requires good and efficient use of the available resources. Having a good CPU efficiency for the end users analysis jobs requires that the performance of the storage system is able to scale with I/O requests from hundreds or even thousands of simultaneous jobs. In this presentation we report on the work on improving the SE performance at the Helsinki Institute of Physics (HIP) Tier-2 used for the Compact Muon Experiment (CMS) at the LHC. Statistics from CMS grid jobs are collected and stored in the CMS Dashboard for further analysis, which allows for easy performance monitoring by the sites and by the CMS collaboration. As part of the monitoring framework CMS uses the JobRobot which sends every four hours 100 analysis jobs to each site. CMS also uses the HammerCloud tool for site monitoring and stress testing and it has replaced the JobRobot. The performance of the analysis workflow submitted with JobRobot or HammerCloud can be used to track the performance due to site configuration changes, since the analysis workflow is kept the same for all sites and for months in time. The CPU efficiency of the JobRobot jobs at HIP was increased approximately by 50 % to more than 90 %, by tuning the SE and by improvements in the CMSSW and dCache software. The performance of the CMS analysis jobs improved significantly too. Similar work has been done on other CMS Tier-sites, since on average the CPU efficiency for CMSSW jobs has increased during 2011. Better monitoring of the SE allows faster detection of problems, so that the performance level can be kept high. The next storage upgrade at HIP consists of SAS disk enclosures which can be stress tested on demand with HammerCloud workflows, to make sure that the I/O-performance is good.

Job satisfaction in nursing: a concept analysis study.

PubMed

Liu, Y; Aungsuroch, Y; Yunibhand, J

2016-03-01

This study aims to undertake a concept analysis of job satisfaction in the nursing profession. Around current global shortage of nurses, it is important to stabilize the nursing workforce. Nurses' job satisfaction has been found to be related to intention to leave. In the nursing profession, there is a lack of evidence to support the attributes of nurses' job satisfaction. Walker and Avant's approach of concept analysis was used. The main attributes of job satisfaction from this study are (1) fulfillment of desired needs within the work settings, (2) happiness or gratifying emotional responses towards working conditions, and (3) job value or equity. These attributes are influenced by antecedent conditions like demographic, emotional, work characteristics and environmental variables. Additionally, the consequences of nurses' job satisfaction have a significant impact on both nurses and patients. This study integrated both the content and process of motivational theories to generate the attributes of job satisfaction in nursing that overcome the limitation of the previous studies, which looked only at the definitions of nurses' job satisfaction based on content motivational theories. The findings of this study can facilitate both nursing researchers to develop a cultural adaption instrument and policy makers to improve clinical nursing practice. This analysis provides nurse managers with a new perspective to deal with nurses' job satisfaction by taking into account all the attributes that influence it in the nursing field. © 2015 International Council of Nurses.

Job compensable factors and factor weights derived from job analysis data.

PubMed

Chi, Chia-Fen; Chang, Tin-Chang; Hsia, Ping-Ling; Song, Jen-Chieh

2007-06-01

Government data on 1,039 job titles in Taiwan were analyzed to assess possible relationships between job attributes and compensation. For each job title, 79 specific variables in six major classes (required education and experience, aptitude, interest, work temperament, physical demands, task environment) were coded to derive the statistical predictors of wage for managers, professionals, technical, clerical, service, farm, craft, operatives, and other workers. Of the 79 variables, only 23 significantly related to pay rate were subjected to a factor and multiple regression analysis for predicting monthly wages. Given the heterogeneous nature of collected job titles, a 4-factor solution (occupational knowledge and skills, human relations skills, work schedule hardships, physical hardships) explaining 43.8% of the total variance but predicting only 23.7% of the monthly pay rate was derived. On the other hand, multiple regression with 9 job analysis items (required education, professional training, professional certificate, professional experience, coordinating, leadership and directing, demand on hearing, proportion of shift working indoors, outdoors and others, rotating shift) better predicted pay and explained 32.5% of the variance. A direct comparison of factors and subfactors of job evaluation plans indicated mental effort and responsibility (accountability) had not been measured with the current job analysis data. Cross-validation of job evaluation factors and ratings with the wage rates is required to calibrate both.

Development of the PMPQ: A Structural Job Analysis Questionnaire for the Study of Professional and Managerial Positions. PMPQ Report No. 1.

ERIC Educational Resources Information Center

Mitchell, Jimmy L.; McCormick, Ernest J.

The development and analysis of the Professional and Managerial Position Questionnaire (PMPQ) is reported. PMPQ is intended to serve as a job analysis instrument for higher level occupations than those assessed by the Position Analysis Questionnaire (PAQ). Four approaches to job analysis are described with different emphases on the requirements of…

Considerations in Forest Growth Estimation Between Two Measurements of Mapped Forest Inventory Plots

Treesearch

Michael T. Thompson

2006-01-01

Several aspects of the enhanced Forest Inventory and Analysis (FIA) program?s national plot design complicate change estimation. The design incorporates up to three separate plot sizes (microplot, subplot, and macroplot) to sample trees of different sizes. Because multiple plot sizes are involved, change estimators designed for polyareal plot sampling, such as those...

Determining job satisfaction of nurses working in hospitals of Iran: A systematic review and meta-analysis.

PubMed

Amiresmaili, Mohammadreza; Moosazadeh, Mahmood

2013-09-01

Employees feeling and attitude to their job has a significant role on their performance. Present study sought to investigate documents related to nurses job satisfaction, using systematic review and meta-analysis to estimate nurses job satisfaction in Iran. Papers on nurses job satisfaction were identified by searching different data bases using appropriate key words. Seventeen studies were extracted using inclusuion criteria. Data were analyzed using Meta-analysis command in STATA 11. Considerable hetrogenecity is apparent in results of nurses job satisfaction studies. Although, according to random effect model, nurses total job satisfaction was estimated at 46.3 (CI: 32.1-60.4), this was estimated at 51.9 (CI = 51.1-52.8) using fixed effect model. Additionally, a reverse relationship was observed between nurses overall job satisfaction and their age. Nurses' job satisfaction in Iran is at a good level compared with other countries. The more satisfied the nurses are with their working conditions, the less is their intention to leave their job. Dissatisfaction is associated with higher resignment and turnover, paying deep attention to efficient factors on nurses dissatisfaction and trying to overcome them is important to improve nurses' working conditions.

HELAC-Onia 2.0: An upgraded matrix-element and event generator for heavy quarkonium physics

NASA Astrophysics Data System (ADS)

Shao, Hua-Sheng

2016-01-01

We present an upgraded version (denoted as version 2.0) of the program HELAC-ONIA for the automated computation of heavy-quarkonium helicity amplitudes within non-relativistic QCD framework. The new code has been designed to include many new and useful features for practical phenomenological simulations. It is designed for job submissions under cluster environment for parallel computations via PYTHON scripts. We have interfaced HELAC-ONIA to the parton shower Monte Carlo programs PYTHIA 8 and QEDPS to take into account the parton-shower effects. Moreover, the decay module guarantees that the program can perform the spin-entangled (cascade-)decay of heavy quarkonium after its generation. We have also implemented a reweighting method to automatically estimate the uncertainties from renormalization and/or factorization scales as well as parton-distribution functions to weighted or unweighted events. A further update is the possibility to generate one-dimensional or two-dimensional plots encoded in the analysis files on the fly. Some dedicated examples are given at the end of the writeup.

A novel fluorescence probe based on triphenylamine Schiff base for bioimaging and responding to pH and Fe3.

PubMed

Wang, Lei; Yang, Xiaodong; Chen, Xiuli; Zhou, Yuping; Lu, Xiaodan; Yan, Chenggong; Xu, Yikai; Liu, Ruiyuan; Qu, Jinqing

2017-03-01

A novel fluorescence probe 1 based on triphenylamine was synthesized and characterized by NMR, IR, high resolution mass spectrometry and elemental analysis. Its fluorescence was quenched when pH below 2. There was a linear relationship between the fluorescence intensity and pH value ranged from 2 to 7. And its fluorescence emission was reversibility in acidic and alkaline solution. Furthermore, it exhibited remarkable selectivity and high sensitivity to Fe 3+ and was able to detect Fe 3+ in aqueous solution with low detection limit of 0.511μM. Job plot showed that the binding stoichiometry of 1 with Fe 3+ was 1:1. Further observations of 1 H NMR titration suggested that coordination interaction between Fe 3+ and nitrogen atom on CN bond promoted the intramolecular charge transfer (ICT) or energy transfer process causing fluorescence quenching. Additionally, 1 was also able to be applied for detecting Fe 3+ in living cell and bioimaging. Copyright © 2016. Published by Elsevier B.V.

Preparation, characterisation and antitumour activity of β-, γ- and HP-β-cyclodextrin inclusion complexes of oxaliplatin

NASA Astrophysics Data System (ADS)

Zhang, Da; Zhang, Jianqiang; Jiang, Kunming; Li, Ke; Cong, Yangwei; Pu, Shaoping; Jin, Yi; Lin, Jun

2016-01-01

Three water-soluble oxaliplatin complexes were prepared by inclusion complexation with β-cyclodextrin (β-CD), γ-CD and HP-β-CD. The structures of oxaliplatin/CDs were confirmed by NMR, FTIR, TGA, XRD as well as SEM analysis. The results show that the water solubility of oxaliplatin was increased in the complex with CDs in 1:1 stoichiometry inclusion modes, and the cyclohexane ring of oxaliplatin molecule was deeply inserted into the cavity of CDs. Moreover, the stoichiometry was established by a Job plot and the water stability constant (Kc) of oxaliplatin/CDs was calculated by phase solubility studies, all results show that the oxaliplatin/β-CD complex is more stable than free oxaliplatin, oxaliplatin/HP-β-CD and oxaliplatin/γ-CD. Meanwhile, the inclusion complexes displayed almost twice as high cytotoxicity compared to free oxaliplatin against HCT116 and MCF-7 cells. This satisfactory water solubility and higher cytotoxic activity of the oxaliplatin/CD complexes will potentially be useful for their application in anti-tumour therapy.

A highly selective and sensitive fluorescent chemosensor and its application for rapid on-site detection of Al3 +

NASA Astrophysics Data System (ADS)

Yue, Xiao-li; Wang, Zhao-qing; Li, Chao-rui; Yang, Zheng-yin

2018-03-01

In this paper, a simple naphthalene-based derivative (HL) has been designed and synthesized as a Al3 +-selective fluorescent chemosensor based on the PET mechanism. HL exhibited high selectivity and sensitivity towards Al3 + over other commonly coexisting metal ions in ethanol with a detection limit of 2.72 nM. The 1:1 binding stoichiometry of the complex (HL-Al3 +) was determined from the Job's plot based on fluorescence titrations and the ESI-MS spectrum data. Moreover, the binding site of HL with Al3 + was assured by the 1H NMR titration experiment. The binding constant (Ka) of the complex (HL-Al3 +) was calculated to be 5.06 × 104 M- 1 according to the Benesi-Hildebrand equation. In addition, the recognizing process of HL towards Al3 + was chemically reversible by adding Na2EDTA. Importantly, HL could directly and rapidly detect aluminum ion through the filter paper without resorting to additional instrumental analysis.

A turn-on fluorescent chemosensor for Zn2+ ion: X-ray structure and application in cell imaging study

NASA Astrophysics Data System (ADS)

Ghosh, Koushik; Dey, Sudipto; Halder, Shibashis; Bhattacharjee, Aradhita; Rizzoli, Corrado; Roy, Partha

2016-08-01

The selective fluorescence zinc(II) sensing properties of a Schiff-base compound, 2-methoxy-6-(2-morpholinoethyliminomethyl)phenol (HL) have been explored. The emission intensity of HL in the presence of one equivalent of Zn2+ ion increases by about 25 times. Several other metal ions, except Cd2+ and Ni2+, have not been able to increase the emission intensity of HL significantly. The quantum yield and life-time of HL have also been increased in the presence of Zn2+ ions. The enhancement in fluorescence intensity of HL is mainly due to the restriction of ESIPT, CHEF and PET on complex formation. HL forms a complex with Zn2+ in 1:1 ratio as evidenced by Job's plot analysis and X-ray single crystal structure determination. Some theoretical calculations have been performed to get a better view on the nature of the observed electronic transitions. The probe has been applied for imaging of DLD-1, human colorectal adenocarcinoma cell.

On-Line 1D and 2D PLOT/LC-ESI-MS Using 10 μm i.d. Poly(styrene–divinylbenzene) Porous Layer Open Tubular (PLOT) Columns For Ultrasensitive Proteomic Analysis

PubMed Central

Luo, Quanzhou; Yue, Guihua; Valaskovic, Gary A; Gu, Ye; Wu, Shiaw-Lin; Karger, Barry L.

2008-01-01

Following on our recent work, on-line one dimensional (1D) and two dimensional (2D) PLOT/LC-ESI-MS platforms using 3.2 m × 10 μm i.d. poly(styrenedivinylbenzene) (PS-DVB) porous layer open tubular (PLOT) columns have been developed to provide robust, high performance and ultrasensitive proteomic analysis. Using a PicoClear tee, the dead volume connection between a 50 μm i.d. PS-DVB monolithic microSPE column and the PLOT column was minimized. The microSPE/PLOT column assembly provided a separation performance similar to that obtained with direct injection onto the PLOT column at a mobile phase flow rate of 20 nL/min. The trace analysis potential of the platform was evaluated using an in-gel tryptic digest sample of a gel fraction (15 to 40 kDa) of a cervical cancer (SiHa) cell line. As an example of the sensitivity of the system, ∼2.5 ng of protein in 2 μL solution, an amount corresponding to 20 SiHa cells, was subjected to on-line microSPE-PLOT/LC-ESIMS/MS analysis using a linear ion trap MS. 237 peptides associated with 163 unique proteins were identified from a single analysis when using stringent criteria associated with a false positive rate less than 1% . The number of identified peptides and proteins increased to 638 and 343, respectively, as the injection amount was raised to ∼45 ng of protein, an amount corresponding to 350 SiHa cells. In comparison, only 338 peptides and 231 unique proteins were identified (false positive rate again less than 1%) from 750 ng of protein from the identical gel fraction, an amount corresponding to 6000 SiHa cells, using a typical 15 cm × 75 μm i.d. packed capillary column. The greater sensitivity, higher recovery, and higher resolving power of the PLOT column resulted in the increased number of identifications from only ∼5% of the injected sample amount. The resolving power of the microSPE/PLOT assembly was further extended by 2D chromatography via combination of the high-efficiency reversed phase PLOT column with strong cation exchange chromatography (SCX). As an example, 1071 peptides associated with 536 unique proteins were identified from 75 ng of protein from the same gel fraction, an amount corresponding to 600 cells, using 5 ion exchange fractions in online 2D SCX-PLOT/LC-MS. The 2D system, implemented in an automated format, led to simple and robust operation for proteomic analysis. These promising results demonstrate the potential of the PLOT column for ultratrace analysis. PMID:17625912

Estimating the number of tree species in forest populations using current vegetation survey and forest inventory and analysis approximation plots and grid intensities

Treesearch

Hans T. Schreuder; Jin-Mann S. Lin; John Teply

2000-01-01

We estimate number of tree species in National Forest populations using the nonparametric estimator. Data from the Current Vegetation Survey (CVS) of Region 6 of the USDA Forest Service were used to estimate the number of tree species with a plot close in size to the Forest Inventory and Analysis (FIA) plot and the actual CVS plot for the 5.5 km FIA grid and the 2.7 km...

Table-top job analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1994-12-01

The purpose of this Handbook is to establish general training program guidelines for training personnel in developing training for operation, maintenance, and technical support personnel at Department of Energy (DOE) nuclear facilities. TTJA is not the only method of job analysis; however, when conducted properly TTJA can be cost effective, efficient, and self-validating, and represents an effective method of defining job requirements. The table-top job analysis is suggested in the DOE Training Accreditation Program manuals as an acceptable alternative to traditional methods of analyzing job requirements. DOE 5480-20A strongly endorses and recommends it as the preferred method for analyzing jobsmore » for positions addressed by the Order.« less

Round versus rectangular: Does the plot shape matter?

NASA Astrophysics Data System (ADS)

Iserloh, Thomas; Bäthke, Lars; Ries, Johannes B.

2016-04-01

Field rainfall simulators are designed to study soil erosion processes and provide urgently needed data for various geomorphological, hydrological and pedological issues. Due to the different conditions and technologies applied, there are several methodological aspects under review of the scientific community, particularly concerning design, procedures and conditions of measurement for infiltration, runoff and soil erosion. Extensive discussions at the Rainfall Simulator Workshop 2011 in Trier and the Splinter Meeting at EGU 2013 "Rainfall simulation: Big steps forward!" lead to the opinion that the rectangular shape is the more suitable plot shape compared to the round plot. A horizontally edging Gerlach trough is installed for sample collection without forming unnatural necks as is found at round or triangle plots. Since most research groups did and currently do work with round plots at the point scale (<1m²), a precise analysis of the differences between the output of round and square plots are necessary. Our hypotheses are: - Round plot shapes disturb surface runoff, unnatural fluvial dynamics for the given plot size such as pool development especially directly at the plot's outlet occur. - A square plot shape prevent these problems. A first comparison between round and rectangular plots (Iserloh et al., 2015) indicates that the rectangular plot could indeed be the more suitable, but the rather ambiguous results make a more elaborate test setup necessary. The laboratory test setup includes the two plot shapes (round, square), a standardised silty substrate and three inclinations (2°, 6°, 12°). The analysis of the laboratory test provide results on the best performance concerning undisturbed surface runoff and soil/water sampling at the plot's outlet. The analysis of the plot shape concerning its influence on runoff and erosion shows that clear methodological standards are necessary in order to make rainfall simulation experiments comparable. Reference: Iserloh, T., Pegoraro, D., Schlösser, A., Thesing, H., Seeger, M., Ries, J.B. (2015): Rainfall simulation experiments: Influence of water temperature, water quality and plot design on soil erosion and runoff. Geophysical Research Abstracts, Vol. 17, EGU2015-5817.

A job analysis design for the rail industry : description and model analysis of the job of freight conductor.

DOT National Transportation Integrated Search

2013-10-01

This document provides a step-by-step description of the design and execution of a strategic job analysis, using the position of Freight Conductor as an example. This document was created to be useful for many different needs, and can be used as an e...

Rhetorical Analysis of Fast-Growth Businesses' Job Advertisements: Implications for Job Search

ERIC Educational Resources Information Center

Engstrom, Craig L.; Petre, James T.; Petre, Elizabeth A.

2017-01-01

This article presents findings from a rhetorical analysis of job advertisements posted by the fastest growing companies in the United States (Inc. 5000 rankings). The analysis suggests that companies rely on standard rhetorical figures and share similar rhetorical visions of novelty that likely effect their organizational culture, paradoxically…

Jobs Analysis | Energy Analysis | NREL

Science.gov Websites

manufacturing analysis-focuses on jobs creation and economic output at the national, state, and community levels economic development and activity through investment in solar and wind projects. Featured Study In Economic construction period and 350 jobs annually during 20-year operation Total economic impact over 20-year life

A Guide to Job Analysis.

ERIC Educational Resources Information Center

Boydell, T. H.

There is considerable evidence that a large number of recently appointed training specialists would welcome a straightforward account of job analysis. It is in the hope of providing such an account and of providing practical guidance that this booklet has been written. Major sections of this guide include: (1) Job Analysis--A Process, (2)…

The poor man's Geographic Information System: plot expansion factors

Treesearch

Paul C. Van Deusen

2007-01-01

Plot expansion factors can serve as a crude Geographic Information System for users of Forest Inventory and Analysis (FIA) data. Each FIA plot has an associated expansion factor that is often interpreted as the number of forested acres that the plot represents. The derivation of expansion factors is discussed and it is shown that the mapped plot design requires a...

Career Involvement and Job Satisfaction as Related to Job Strain and Marital Satisfaction of Teachers and Their Spouses.

ERIC Educational Resources Information Center

Zimmerman, Karen W.; And Others

1980-01-01

A study of dual-employed couples examined the relationship between the variables of job status, job satisfaction, and marital satisfaction. Analysis revealed a significant positive relationship between job satisfaction and marital satisfaction and a significant negative relationship between job strain and marital satisfaction. (JOW)

Teachers' Collective Efficacy, Job Satisfaction, and Job Stress in Cross-Cultural Context

ERIC Educational Resources Information Center

Klassen, Robert M.; Usher, Ellen L.; Bong, Mimi

2010-01-01

This study examines how teachers' collective efficacy (TCE), job stress, and the cultural dimension of collectivism are associated with job satisfaction for 500 teachers from Canada, Korea (South Korea or Republic of Korea), and the United States. Multigroup path analysis revealed that TCE predicted job satisfaction across settings. Job stress was…

[Job Satisfaction of Young Professionals in Health Care].

PubMed

Ulrich, Gert; Homberg, Angelika; Karstens, Sven; Goetz, Katja; Mahler, Cornelia

2017-05-29

Background Job satisfaction in health care is currently important in view of workforce shortage in the health care area. The purpose of this study was to evaluate job satisfaction in young health professionals and to identify factors possibly influencing overall job satisfaction. Methods About one year after graduating from vocational training, a total of 579 graduates from various health care professions [Nursing (N), Nursing and Geriatric Nursing; Therapy (TP), Physical therapy and Logopaedics; Diagnostics (D), Diagnostic Radiography and Biomedical Science], were invited to participate in an online-survey. Job satisfaction was assessed with the 10-item Warr-Cook-Wall (WCW) job satisfaction questionnaire. Descriptive analysis of the WCW was performed, and the impact of various factors on job satisfaction was determined by stepwise linear regression analysis. Results In total, 189 graduates (N, n=121; TP, n=32; D, n=36) were included in data analysis (32.6% response rate). Overall job satisfaction in all young professionals was 4.9±1.6 (mean±SD) and was slightly higher in TP (5.4±1.4) compared with N (4.7±1.6) and D (5.0±1.5), respectively. Highest satisfaction was identified with "colleagues" and lowest satisfaction with "income" was identified in all professional groups. Colleagues and fellow workers showed the highest score of association regarding overall job satisfaction in regression analysis. Conclusions As a whole, our data suggest good to very good satisfaction in various WCW items of job satisfaction. "Colleagues" were shown to have a high impact on job satisfaction. To improve the attractiveness of job profiles in health care, the presented results may provide a valuable input regarding workforce shortage. © Georg Thieme Verlag KG Stuttgart · New York.

Use of DAGMan in CRAB3 to Improve the Splitting of CMS User Jobs

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wolf, M.; Mascheroni, M.; Woodard, A.

CRAB3 is a workload management tool used by CMS physicists to analyze data acquired by the Compact Muon Solenoid (CMS) detector at the CERN Large Hadron Collider (LHC). Research in high energy physics often requires the analysis of large collections of files, referred to as datasets. The task is divided into jobs that are distributed among a large collection of worker nodes throughout the Worldwide LHC Computing Grid (WLCG). Splitting a large analysis task into optimally sized jobs is critical to efficient use of distributed computing resources. Jobs that are too big will have excessive runtimes and will not distributemore » the work across all of the available nodes. However, splitting the project into a large number of very small jobs is also inefficient, as each job creates additional overhead which increases load on infrastructure resources. Currently this splitting is done manually, using parameters provided by the user. However the resources needed for each job are difficult to predict because of frequent variations in the performance of the user code and the content of the input dataset. As a result, dividing a task into jobs by hand is difficult and often suboptimal. In this work we present a new feature called “automatic splitting” which removes the need for users to manually specify job splitting parameters. We discuss how HTCondor DAGMan can be used to build dynamic Directed Acyclic Graphs (DAGs) to optimize the performance of large CMS analysis jobs on the Grid. We use DAGMan to dynamically generate interconnected DAGs that estimate the processing time the user code will require to analyze each event. This is used to calculate an estimate of the total processing time per job, and a set of analysis jobs are run using this estimate as a specified time limit. Some jobs may not finish within the alloted time; they are terminated at the time limit, and the unfinished data is regrouped into smaller jobs and resubmitted.« less

Use of DAGMan in CRAB3 to improve the splitting of CMS user jobs

NASA Astrophysics Data System (ADS)

Wolf, M.; Mascheroni, M.; Woodard, A.; Belforte, S.; Bockelman, B.; Hernandez, J. M.; Vaandering, E.

2017-10-01

CRAB3 is a workload management tool used by CMS physicists to analyze data acquired by the Compact Muon Solenoid (CMS) detector at the CERN Large Hadron Collider (LHC). Research in high energy physics often requires the analysis of large collections of files, referred to as datasets. The task is divided into jobs that are distributed among a large collection of worker nodes throughout the Worldwide LHC Computing Grid (WLCG). Splitting a large analysis task into optimally sized jobs is critical to efficient use of distributed computing resources. Jobs that are too big will have excessive runtimes and will not distribute the work across all of the available nodes. However, splitting the project into a large number of very small jobs is also inefficient, as each job creates additional overhead which increases load on infrastructure resources. Currently this splitting is done manually, using parameters provided by the user. However the resources needed for each job are difficult to predict because of frequent variations in the performance of the user code and the content of the input dataset. As a result, dividing a task into jobs by hand is difficult and often suboptimal. In this work we present a new feature called “automatic splitting” which removes the need for users to manually specify job splitting parameters. We discuss how HTCondor DAGMan can be used to build dynamic Directed Acyclic Graphs (DAGs) to optimize the performance of large CMS analysis jobs on the Grid. We use DAGMan to dynamically generate interconnected DAGs that estimate the processing time the user code will require to analyze each event. This is used to calculate an estimate of the total processing time per job, and a set of analysis jobs are run using this estimate as a specified time limit. Some jobs may not finish within the alloted time; they are terminated at the time limit, and the unfinished data is regrouped into smaller jobs and resubmitted.

Relationship between nurse psychological empowerment and job satisfaction: A systematic review and meta-analysis.

PubMed

Li, Huanhuan; Shi, Ying; Li, Yuan; Xing, Zhuangjie; Wang, Shouqi; Ying, Jie; Zhang, Meiling; Sun, Jiao

2018-06-01

This systematic review and meta-analysis aimed to synthesize and analyse studies that explored the relationship between the psychological empowerment and job satisfaction of nurses. Nurse turnover is an important cause of staff shortage. Job satisfaction is a major predictor of nurse turnover and is connected to the psychological empowerment of nurses. This systematic review and meta-analysis is based on the Joanna Briggs Institute guidelines. A total of 1,572 articles on psychological empowerment and job satisfaction were retrieved from PubMed, PsycINFO, EMBASE and Web of Science. The articles were written in English and published before or by April 2017. Studies on the relationship between psychological empowerment and job satisfaction were summarized. The majority of the included studies revealed that psychological empowerment and job satisfaction are significantly correlated. Only two studies showed that the two factors are not significantly correlated. The result of this meta-analysis is consistent with the results of most studies. One study reported that psychological empowerment partially mediates the structural empowerment and job satisfaction of school health nurses. Two studies, however, did not find that the mediating role of psychological empowerment between structural empowerment and job satisfaction. The results of this review provided evidence for the importance of psychological empowerment for the job satisfaction of among nurses. Exploring the correlation between psychological empowerment and job satisfaction can provide guidelines and recommendation for the development of strategies to promote nurse retention and alleviate nursing shortage. © 2018 John Wiley & Sons Ltd.

Stressful jobs and non-stressful jobs: a cluster analysis of office jobs.

PubMed

Carayon, P

1994-02-01

The purpose of the study was to determine if office jobs could be characterized by a small number of combinations of stressors that could be related to job-title information and self-report of psychological strain. Two-hundred-and-sixty-two office workers from three public service organizations provided data on nine job stressors and seven indicators of psychological strain. Using cluster analysis on the nine stressors, office jobs were classified into three clusters. The first cluster included jobs with high skill utilization, task clarity, job control and social support and low future ambiguity, but also high on job demands such as quantitative work-load, attention and work pressure. The second cluster included jobs with high demands and future ambiguity and low skill utilization, task clarity, job control and social support. The third cluster was intermediary between the first two clusters. The three clusters were related to job-title information. The second cluster was the highest on a range of psychological strain indicators, while the other two clusters were high on certain strain indicators but low on others. The study showed that office jobs could be characterized by a small number of combinations of stressors that were related to job-title information and psychological strain.

The Prediction of Job Ability Requirements Using Attribute Data Based Upon the Position Analysis Questionnaire (PAQ). Technical Report No. 1.

ERIC Educational Resources Information Center

Shaw, James B.; McCormick, Ernest J.

The study was directed towards the further exploration of the use of attribute ratings as the basis for establishing the job component validity of tests, in particular by using different methods of combining "attribute-based" data with "job analysis" data to form estimates of the aptitude requirements of jobs. The primary focus…

41 CFR 60-2.12 - Job group analysis.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 2-AFFIRMATIVE ACTION PROGRAMS Purpose and Contents of Affirmative Action Programs § 60-2.12 Job... jobs. If the establishment at which the jobs actually are located maintains an affirmative action...

Analyzing jobs for redesign decisions.

PubMed

Conn, V S; Davis, N K; Occena, L G

1996-01-01

Job analysis, the collection and interpretation of information that describes job behaviors and activities performed by occupants of jobs, can provide nurse administrators with valuable information for redesigning effective and efficient systems of care.

The Analysis of Rates of Naval Compensation by the Use of a Structured Job Analysis Procedure.

ERIC Educational Resources Information Center

Harris, Alma F.; McCormick, Ernest J.

The study deals with the experimental application of a structured job analysis procedure to enlisted and officer billets in the Navy, with particular reference to its potential use in relating naval compensation for billet incumbents to compensation for civilian jobs with similar characteristics, and in assessing its utility for allocating naval…

The Applicability of the ISD 4-Factor Model of Job Analysis in Identifying Task Training Priority in Nine Technical Military Occupational Specialties.

ERIC Educational Resources Information Center

Siebold, Guy L.

Research was conducted to assess the applicability of the Instructional Systems Development (ISD) job analysis procedures to nine technical aviation maintenance military occupational specialties (MOS). Job analysis questionnaires were developed for each of the nine aviation maintenance MOS's. Research teams administered the questionnaires to…

Spatially Locating FIA Plots from Pixel Values

Treesearch

Greg C. Liknes; Geoffrey R. Holden; Mark D. Nelson; Ronald E. McRoberts

2005-01-01

The USDA Forest Service Forest Inventory and Analysis (FIA) program is required to ensure the confidentiality of the geographic locations of plots. To accommodate user requests for data without releasing actual plot coordinates, FIA creates overlays of plot locations on various geospatial data, including satellite imagery. Methods for reporting pixel values associated...

Job Stress and Job Satisfaction: Home Care Workers in a Consumer-Directed Model of Care

PubMed Central

Delp, Linda; Wallace, Steven P; Geiger-Brown, Jeanne; Muntaner, Carles

2010-01-01

Objective To investigate determinants of job satisfaction among home care workers in a consumer-directed model. Data Sources/Setting Analysis of data collected from telephone interviews with 1,614 Los Angeles home care workers on the state payroll in 2003. Data Collection and Analysis Multivariate logistic regression analysis was used to determine the odds of job satisfaction using job stress model domains of demands, control, and support. Principal Findings Abuse from consumers, unpaid overtime hours, and caring for more than one consumer as well as work-health demands predict less satisfaction. Some physical and emotional demands of the dyadic care relationship are unexpectedly associated with greater job satisfaction. Social support and control, indicated by job security and union involvement, have a direct positive effect on job satisfaction. Conclusions Policies that enhance the relational component of care may improve workers' ability to transform the demands of their job into dignified and satisfying labor. Adequate benefits and sufficient authorized hours of care can minimize the stress of unpaid overtime work, caring for multiple consumers, job insecurity, and the financial constraints to seeking health care. Results have implications for the structure of consumer-directed models of care and efforts to retain long-term care workers. PMID:20403063

Job demands and job strain as risk factors for employee wellbeing in elderly care: an instrumental-variables analysis.

PubMed

Elovainio, Marko; Heponiemi, Tarja; Kuusio, Hannamaria; Jokela, Markus; Aalto, Anna-Mari; Pekkarinen, Laura; Noro, Anja; Finne-Soveri, Harriet; Kivimäki, Mika; Sinervo, Timo

2015-02-01

The association between psychosocial work environment and employee wellbeing has repeatedly been shown. However, as environmental evaluations have typically been self-reported, the observed associations may be attributable to reporting bias. Applying instrumental-variable regression, we used staffing level (the ratio of staff to residents) as an unconfounded instrument for self-reported job demands and job strain to predict various indicators of wellbeing (perceived stress, psychological distress and sleeping problems) among 1525 registered nurses, practical nurses and nursing assistants working in elderly care wards. In ordinary regression, higher self-reported job demands and job strain were associated with increased risk of perceived stress, psychological distress and sleeping problems. The effect estimates for the associations of these psychosocial factors with perceived stress and psychological distress were greater, but less precisely estimated, in an instrumental-variables analysis which took into account only the variation in self-reported job demands and job strain that was explained by staffing level. No association between psychosocial factors and sleeping problems was observed with the instrumental-variable analysis. These results support a causal interpretation of high self-reported job demands and job strain being risk factors for employee wellbeing. © The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Effectiveness of job search interventions: a meta-analytic review.

PubMed

Liu, Songqi; Huang, Jason L; Wang, Mo

2014-07-01

The current meta-analytic review examined the effectiveness of job search interventions in facilitating job search success (i.e., obtaining employment). Major theoretical perspectives on job search interventions, including behavioral learning theory, theory of planned behavior, social cognitive theory, and coping theory, were reviewed and integrated to derive a taxonomy of critical job search intervention components. Summarizing the data from 47 experimentally or quasi-experimentally evaluated job search interventions, we found that the odds of obtaining employment were 2.67 times higher for job seekers participating in job search interventions compared to job seekers in the control group, who did not participate in such intervention programs. Our moderator analysis also suggested that job search interventions that contained certain components, including teaching job search skills, improving self-presentation, boosting self-efficacy, encouraging proactivity, promoting goal setting, and enlisting social support, were more effective than interventions that did not include such components. More important, job search interventions effectively promoted employment only when both skill development and motivation enhancement were included. In addition, we found that job search interventions were more effective in helping younger and older (vs. middle-aged) job seekers, short-term (vs. long-term) unemployed job seekers, and job seekers with special needs and conditions (vs. job seekers in general) to find employment. Furthermore, meta-analytic path analysis revealed that increased job search skills, job search self-efficacy, and job search behaviors partially mediated the positive effect of job search interventions on obtaining employment. Theoretical and practical implications and future research directions are discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Administrative Staff Members' Job Competency and Their Job Satisfaction in a Korean Research University

ERIC Educational Resources Information Center

Jung, Jisun; Shin, Jung Cheol

2015-01-01

The purpose of this study is to explore the impact of administrative staff's job competency on their job satisfaction in a Korean research university. We conceptualized job satisfaction into three subcomponents: satisfaction in the job field, in the workplace, and with the actual task. In the regression analysis, we included demographics, inner…

Organizational variables on nurses' job performance in Turkey: nursing assessments.

PubMed

Top, Mehmet

2013-01-01

The purpose of this study was to describe the influence of organizational variables on hospital staff nurses' job performance as reported by staff nurses in two cities in Turkey. Hospital ownership status, employment status were examined for their effect on this influence. The reported influence of organizational variables on job performance was measured by a questionnaire developed for this study. Nurses were asked to evaluate the influence of 28 organizational variables on their job performance using a five-point Likert-type scale (1- Never effective, 5- Very effective). The study used comparative and descriptive study design. The staff nurses who were included in this study were 831 hospital staff nurses. Descriptive statistics, frequencies, t-test, ANOVA and factor analysis were used for data analysis. The study showed the relative importance of the 28 organizational variables in influencing nurses' job performance. Nurses in this study reported that workload and technological support are the most influential organizational variables on their job performance. Factor analysis yielded a five-factor model that explained 53.99% of total variance. Administratively controllable influence job organizational variables influence job performance of nurses in different magnitude.

Robotics/Automated Systems Task Analysis and Description of Required Job Competencies Report. Task Analysis and Description of Required Job Competencies of Robotics/Automated Systems Technicians.

ERIC Educational Resources Information Center

Hull, Daniel M.; Lovett, James E.

This task analysis report for the Robotics/Automated Systems Technician (RAST) curriculum project first provides a RAST job description. It then discusses the task analysis, including the identification of tasks, the grouping of tasks according to major areas of specialty, and the comparison of the competencies to existing or new courses to…

A density management diagram for even-aged Sierra Nevada mixed-conifer stands

Treesearch

James N. Long; John D. Shaw

2012-01-01

We have developed a density management diagram (DMD) for even-aged mixed-conifer stands in the Sierra Nevada Mountains using forest inventory and analysis (FIA) data. Analysis plots were drawn from FIA plots in California, southern Oregon, and western Nevada which included those conifer species associated with the mixed-conifer forest type. A total of 204 plots met the...

The status of accurately locating forest inventory and analysis plots using the Global Positioning System

Treesearch

Michael Hoppus; Andrew Lister

2007-01-01

Historically, field crews used Global Positioning System (GPS) coordinates to establish and relocate plots, as well as document their general location. During the past 5 years, the increase in Geographic Information System (GIS) capabilities and in customer requests to use the spatial relationships between Forest Inventory and Analysis (FIA) plot data and other GIS...

Functional Job Analysis: An Annotated Bibliography. Methods for Manpower Analysis No. 10.

ERIC Educational Resources Information Center

Fine, Sidney A.; And Others

The bibliography provides a chronological survey of the development, growth, and application of the concept of Functional Job Analysis (FJA) which provides for the formulation of qualifications of workers and the requirements of jobs in the same terms so that the one can be equated with measures of the other. An introductory section discusses FJA,…

Computer routine adds plotting capabilities to existing programs

NASA Technical Reports Server (NTRS)

Harris, J. C.; Linnekin, J. S.

1966-01-01

PLOTAN, a generalized plot analysis routine written for the IBM 7094 computer, minimizes the difficulties in adding plot capabilities to large existing programs. PLOTAN is used in conjunction with a binary tape writing routine and has the ability to plot any variable on the intermediate binary tape as a function of any other.

NEMAR plotting computer program

NASA Technical Reports Server (NTRS)

Myler, T. R.

1981-01-01

A FORTRAN coded computer program which generates CalComp plots of trajectory parameters is examined. The trajectory parameters are calculated and placed on a data file by the Near Earth Mission Analysis Routine computer program. The plot program accesses the data file and generates the plots as defined by inputs to the plot program. Program theory, user instructions, output definitions, subroutine descriptions and detailed FORTRAN coding information are included. Although this plot program utilizes a random access data file, a data file of the same type and formatted in 102 numbers per record could be generated by any computer program and used by this plot program.

Mars Science Laboratory Launch-Arrival Space Study: A Pork Chop Plot Analysis

NASA Technical Reports Server (NTRS)

Cianciolo, Alicia Dwyer; Powell, Richard; Lockwood, Mary Kae

2006-01-01

Launch-Arrival, or "pork chop", plot analysis can provide mission designers with valuable information and insight into a specific launch and arrival space selected for a mission. The study begins with the array of entry states for each pair of selected Earth launch and Mars arrival dates, and nominal entry, descent and landing trajectories are simulated for each pair. Parameters of interest, such as maximum heat rate, are plotted in launch-arrival space. The plots help to quickly identify launch and arrival regions that are not feasible under current constraints or technology and also provide information as to what technologies may need to be developed to reach a desired region. This paper provides a discussion of the development, application, and results of a pork chop plot analysis to the Mars Science Laboratory mission. This technique is easily applicable to other missions at Mars and other destinations.

Using recurrence plot analysis for software execution interpretation and fault detection

NASA Astrophysics Data System (ADS)

Mosdorf, M.

2015-09-01

This paper shows a method targeted at software execution interpretation and fault detection using recurrence plot analysis. In in the proposed approach recurrence plot analysis is applied to software execution trace that contains executed assembly instructions. Results of this analysis are subject to further processing with PCA (Principal Component Analysis) method that simplifies number coefficients used for software execution classification. This method was used for the analysis of five algorithms: Bubble Sort, Quick Sort, Median Filter, FIR, SHA-1. Results show that some of the collected traces could be easily assigned to particular algorithms (logs from Bubble Sort and FIR algorithms) while others are more difficult to distinguish.

Person-job fit: an exploratory cross-sectional analysis of hospitalists.

PubMed

Hinami, Keiki; Whelan, Chad T; Miller, Joseph A; Wolosin, Robert J; Wetterneck, Tosha B

2013-02-01

Person-job fit is an organizational construct shown to impact the entry, performance, and retention of workers. Even as a growing number of physicians work under employed situations, little is known about how physicians select, develop, and perform in organizational settings. Our objective was to validate in the hospitalist physician workforce features of person-job fit observed in workers of other industries. The design was a secondary survey data analysis from a national stratified sample of practicing US hospitalists. The measures were person-job fit; likelihood of leaving practice or reducing workload; organizational climate; relationships with colleagues, staff, and patients; participation in suboptimal patient care activities. Responses to the Hospital Medicine Physician Worklife Survey by 816 (sample response rate 26%) practicing hospitalists were analyzed. Job attrition and reselection improved job fit among hospitalists entering the job market. Better job fit was achieved through hospitalists engaging a variety of personal skills and abilities in their jobs. Job fit increased with time together with socialization and internalization of organizational values. Hospitalists with higher job fit felt they performed better in their jobs. Features of person-job fit for hospitalists conformed to what have been observed in nonphysician workforces. Person-job fit may be a useful complementary survey measure related to job satisfaction but with a greater focus on function. Copyright © 2012 Society of Hospital Medicine.

Relative equilibrium plot improves graphical analysis and allows bias correction of SUVR in quantitative [11C]PiB PET studies

PubMed Central

Zhou, Yun; Sojkova, Jitka; Resnick, Susan M.; Wong, Dean F.

2012-01-01

Both the standardized uptake value ratio (SUVR) and the Logan plot result in biased distribution volume ratios (DVR) in ligand-receptor dynamic PET studies. The objective of this study is to use a recently developed relative equilibrium-based graphical plot (RE plot) method to improve and simplify the two commonly used methods for quantification of [11C]PiB PET. Methods The overestimation of DVR in SUVR was analyzed theoretically using the Logan and the RE plots. A bias-corrected SUVR (bcSUVR) was derived from the RE plot. Seventy-eight [11C]PiB dynamic PET scans (66 from controls and 12 from mildly cognitively impaired participants (MCI) from the Baltimore Longitudinal Study of Aging (BLSA)) were acquired over 90 minutes. Regions of interest (ROIs) were defined on coregistered MRIs. Both the ROI and pixelwise time activity curves (TACs) were used to evaluate the estimates of DVR. DVRs obtained using the Logan plot applied to ROI TACs were used as a reference for comparison of DVR estimates. Results Results from the theoretical analysis were confirmed by human studies. ROI estimates from the RE plot and the bcSUVR were nearly identical to those from the Logan plot with ROI TACs. In contrast, ROI estimates from DVR images in frontal, temporal, parietal, cingulate regions, and the striatum were underestimated by the Logan plot (controls 4 – 12%; MCI 9 – 16%) and overestimated by the SUVR (controls 8 – 16%; MCI 16 – 24%). This bias was higher in the MCI group than in controls (p < 0.01) but was not present when data were analyzed using either the RE plot or the bcSUVR. Conclusion The RE plot improves pixel-wise quantification of [11C]PiB dynamic PET compared to the conventional Logan plot. The bcSUVR results in lower bias and higher consistency of DVR estimates compared to SUVR. The RE plot and the bcSUVR are practical quantitative approaches that improve the analysis of [11C]PiB studies. PMID:22414634

Predictors of occupational burnout among nurses: a dominance analysis of job stressors.

PubMed

Sun, Ji-Wei; Bai, Hua-Yu; Li, Jia-Huan; Lin, Ping-Zhen; Zhang, Hui-Hui; Cao, Feng-Lin

2017-12-01

To quantitatively compare dimensions of job stressors' effects on nurses' burnout. Nurses, a key group of health service providers, often experience stressors at work. Extensive research has examined the relationship between job stressors and burnout; however, less has specifically compared the effects of job stressor domains on nurses' burnout. A quantitative cross-sectional survey examined three general hospitals in Jinan, China. Participants were 602 nurses. We compared five potential stressors' ability to predict nurses' burnout using dominance analysis and assuming that each stressor was intercorrelated. Strong positive correlations were found between all five job stressors and burnout. Interpersonal relationships and management issues most strongly predicted participants' burnout (11·3% of average variance). Job stressors, and particularly interpersonal relationships and management issues, significantly predict nurses' job burnout. Understanding the relative effect of job stressors may help identify fruitful areas for intervention and improve nurse recruitment and retention. © 2017 John Wiley & Sons Ltd.

A meta-analysis of the variables related to job satisfaction among Korean nurses.

PubMed

Choi, So Eun; Kim, Sang Dol

2016-08-01

The shortage of nursing workforce has been a critical and global issue and associated with job satisfaction. To evaluate the strength of the relationships between job satisfaction and organizational commitment, job stress, and turnover intention among Korean nurses. Preferred Reporting Items for Systematic Reviews and Meta-Analyses; Korean Education & Research Information Service, KISS, DB pia, PubMed, and CINAHL databases were searched. The meta-analysis software package, R program (version 3.0.1), was used. Thirty-eight of 1245 screened studies had appropriate data. The overall relationships were high and significant, and increased organizational commitment (WES = .62), decreased turnover intention (WES = -.47), and decreased job stress (WES = -.37) were associated with job satisfaction. The strongest relationship was identified between organizational commitment and job satisfaction. These findings have important implications for improving organizational commitment to increase job satisfaction among nurses.

Dimensionality of military job satisfaction items: an exploratory factor analysis of data from the spring 1996 Sample Survey of Military Personnel.

PubMed

Schumm, Walter R; Gade, Paul A; Bell, D Bruce

2003-06-01

The Sample Survey of Military Personnel in the spring of 1996 asked detailed questions of Army personnel about job satisfaction. Maximum likelihood factor analysis yielded four factors: satisfaction with supervision, with job environment, with the duty specifically, and with opportunity for development, factors similar to those used in Smith's Job Descriptive Index, 1992. Scales developed from these factors showed acceptable internal consistency reliability and correlated as expected with measures of satisfaction with Army life, retention, morale, combat preparedness, and overall job satisfaction. Some divergent validity was established with measures of personal/family stress and with previous job stress. Demographic data suggested that soldiers with higher education found more satisfying job opportunities while those with higher rank, more years of service, and higher age reported greater satisfaction with job fulfillment, perhaps a consequence of selection effects.

Recurrence plots and recurrence quantification analysis of human motion data

NASA Astrophysics Data System (ADS)

Josiński, Henryk; Michalczuk, Agnieszka; Świtoński, Adam; Szczesna, Agnieszka; Wojciechowski, Konrad

2016-06-01

The authors present exemplary application of recurrence plots, cross recurrence plots and recurrence quantification analysis for the purpose of exploration of experimental time series describing selected aspects of human motion. Time series were extracted from treadmill gait sequences which were recorded in the Human Motion Laboratory (HML) of the Polish-Japanese Academy of Information Technology in Bytom, Poland by means of the Vicon system. Analysis was focused on the time series representing movements of hip, knee, ankle and wrist joints in the sagittal plane.

The Health Services Mobility Study Method of Task Analysis and Curriculum Design. Research Report No. 11. Volume 3: Using the Computer to Develop Job Ladders.

ERIC Educational Resources Information Center

Gilpatrick, Eleanor

This document is volume 3 of a four-volume report which describes the components of the Health Services Mobility Study (HSMS) method of task analysis, job ladder design, and curriculum development. Divided into four chapters, volume 3 is a manual for using HSMS computer based statistical procedures to design job structures and job ladders. Chapter…

Job satisfaction among recent graduates of schools of nursing.

PubMed

Munro, B H

1983-01-01

Using a randomly selected national sample and multiple regression analysis, the correlates of job satisfaction among recent graduates of nursing programs were investigated. Factor analysis was used to test the validity of Herzberg's theory of job satisfaction/dissatisfaction. For these 329 employed RNs, responsibility (the importance and challenge of the work) was the most important determinant of job satisfaction, and working conditions was the second strongest predictor. Graduates from diploma, associate degree, and baccalaureate programs did not differ in terms of job satisfaction. Support was given for the validity of Herzberg's dual-factor theory in relation to all five motivators included in the analysis (achievement, work itself, responsibility, advancement, and growth) and for the hygiene salary. The validity of four other hygienes (supervision, working conditions, status, and security) was not established. The results imply that administrators need to appeal to nurses' needs for important challenging jobs and opportunities to grow and develop professionally.

Job strain and health-related lifestyle: findings from an individual-participant meta-analysis of 118,000 working adults.

PubMed

Heikkilä, Katriina; Fransson, Eleonor I; Nyberg, Solja T; Zins, Marie; Westerlund, Hugo; Westerholm, Peter; Virtanen, Marianna; Vahtera, Jussi; Suominen, Sakari; Steptoe, Andrew; Salo, Paula; Pentti, Jaana; Oksanen, Tuula; Nordin, Maria; Marmot, Michael G; Lunau, Thorsten; Ladwig, Karl-Heinz; Koskenvuo, Markku; Knutsson, Anders; Kittel, France; Jöckel, Karl-Heinz; Goldberg, Marcel; Erbel, Raimund; Dragano, Nico; DeBacquer, Dirk; Clays, Els; Casini, Annalisa; Alfredsson, Lars; Ferrie, Jane E; Singh-Manoux, Archana; Batty, G David; Kivimäki, Mika

2013-11-01

We examined the associations of job strain, an indicator of work-related stress, with overall unhealthy and healthy lifestyles. We conducted a meta-analysis of individual-level data from 11 European studies (cross-sectional data: n = 118,701; longitudinal data: n = 43,971). We analyzed job strain as a set of binary (job strain vs no job strain) and categorical (high job strain, active job, passive job, and low job strain) variables. Factors used to define healthy and unhealthy lifestyles were body mass index, smoking, alcohol intake, and leisure-time physical activity. Individuals with job strain were more likely than those with no job strain to have 4 unhealthy lifestyle factors (odds ratio [OR] = 1.25; 95% confidence interval [CI] = 1.12, 1.39) and less likely to have 4 healthy lifestyle factors (OR = 0.89; 95% CI = 0.80, 0.99). The odds of adopting a healthy lifestyle during study follow-up were lower among individuals with high job strain than among those with low job strain (OR = 0.88; 95% CI = 0.81, 0.96). Work-related stress is associated with unhealthy lifestyles and the absence of stress is associated with healthy lifestyles, but longitudinal analyses suggest no straightforward cause-effect relationship between work-related stress and lifestyle.

Understanding the New Job-Analysis Technology.

ERIC Educational Resources Information Center

Aho, Kaye L.

1989-01-01

The author examines such trends as rapid job change, organizational decentralization, the need for increased productivity, legal challenges, and changing work force needs; the evolving job-analysis technology; and the potential impact of this technology on human resources professionals. She also summarizes the key features to look for in a…

The Construction of Job Families Based on the Component and Overall Dimensions of the PAQ.

ERIC Educational Resources Information Center

Taylor, L. R.

1978-01-01

Seventy-six insurance company jobs were analyzed by 203 raters in an effort to assess the potential usefulness of the Position Analysis Questionnaire (PAQ) as a job analysis device to be employed in a more extensive, company-wide research program. (Editor/RK)

Case Studies in Job Analysis and Training Evaluation.

ERIC Educational Resources Information Center

McKillip, Jack

2001-01-01

An information technology certification program was evaluated by 1,671 systems engineers using job analysis that rated task importance. Professional librarians (n=527) rated importance of their tasks in similar fashion. Results of scatter diagrams provided evidence to enhance training effectiveness by focusing on job tasks significantly related to…

Integrating P3 Data Into P2 Analyses: What is the Added Value

Treesearch

James R. Steinman

2001-01-01

The Forest Inventory and Analysis and Forest Health Monitoring Programs of the USDA Forest Service are integrating field procedures for measuring their networks of plots throughout the United States. These plots are now referred to as Phase 2 (P2) and Phase 3 (P3) plots, respectively, and 1 out of every 16 P2 plots will also be a P3 plot. Mensurational methods will be...

A Multi-Factor Analysis of Job Satisfaction among School Nurses

ERIC Educational Resources Information Center

Foley, Marcia; Lee, Julie; Wilson, Lori; Cureton, Virginia Young; Canham, Daryl

2004-01-01

Although job satisfaction has been widely studied among registered nurses working in traditional health care settings, little is known about the job-related values and perceptions of nurses working in school systems. Job satisfaction is linked to lower levels of job-related stress, burnout, and career abandonment among nurses. This study evaluated…

Benefits of Job Clubs for Executive Job Seekers: A Tale of Hares and Tortoises

ERIC Educational Resources Information Center

Kondo, Christopher T.

2009-01-01

This qualitative research study compares the experiences of 2 groups of executive job seekers--job club members and nonmembers--through thematic analysis of open-ended interviews. The findings indicated that job club members benefited from group learning, increased accountability, networking opportunities, emotional support, helping other members,…

The Relationship between Rating Scales Used to Evaluate Tasks from Task Inventories for Licensure and Certification Examinations

ERIC Educational Resources Information Center

Cadle, Adrienne Woodley

2012-01-01

The first step in developing or updating a licensure or certification examination is to conduct a job or task analysis. Following completion of the job analysis, a survey validation study is performed to validate the results of the job analysis and to obtain task ratings so that an examination blueprint may be created. Psychometricians and job…

Flyby Error Analysis Based on Contour Plots for the Cassini Tour

NASA Technical Reports Server (NTRS)

Stumpf, P. W.; Gist, E. M.; Goodson, T. D.; Hahn, Y.; Wagner, S. V.; Williams, P. N.

2008-01-01

The maneuver cancellation analysis consists of cost contour plots employed by the Cassini maneuver team. The plots are two-dimensional linear representations of a larger six-dimensional solution to a multi-maneuver, multi-encounter mission at Saturn. By using contours plotted with the dot product of vectors B and R and the dot product of vectors B and T components, it is possible to view the effects delta V on for various encounter positions in the B-plane. The plot is used in operations to help determine if the Approach Maneuver (ensuing encounter minus three days) and/or the Cleanup Maneuver (ensuing encounter plus three days) can be cancelled and also is a linear check of an integrated solution.

Analysis of variance calculations for irregular experiments

Treesearch

Jonathan W. Wright

1977-01-01

Irregular experiments may be more useful than much smaller regular experiments and can be analyzed statistically without undue expenditure of time. For a few missing plots, standard methods of calculating missing-plot values can be used. For more missing plots (up to 10 percent), seedlot means or randomly chosen plot means of the same seedlot can be substituted for...

Evaluation and Analysis of the Cleff Job Matching System. Final Report. Volume 1: Introduction and Summary. Volume 2: Technical Dissertation and Appendices.

ERIC Educational Resources Information Center

Nathanson, Stanley N.

This report presents the results of an evaluation of the Cleff Job Matching System (CJMS). The CJMS provides a means by which jobs and job applicants can be matched at the semi- and low-skilled levels in both white- and blue-collar jobs. The CJMS operates by obtaining numerical profiles of both job seekers and jobs, across 16 Dimensions of Work,…

Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the §1603 Treasury Grant Program

DOE Office of Scientific and Technical Information (OSTI.GOV)

Steinberg, Daniel; Porro, Gian; Goldberg, Marshall

This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the §1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the §1603 grant program.

Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the ..Section..1603 Treasury Grant Program

DOE Office of Scientific and Technical Information (OSTI.GOV)

Steinberg, D.; Porro, G.; Goldberg, M.

This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the Section 1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the Section 1603 grant program.

Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the §1603Treasury Grant Program

DOE Office of Scientific and Technical Information (OSTI.GOV)

Steinberg, Daniel; Porro, Gian; Goldberg, Marshall

2012-04-01

This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the §1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the §1603 grant program.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wackerbarth, David

Sandia National Laboratories has developed a computer program to review, reduce and manipulate waveform data. PlotData is designed for post-acquisition waveform data analysis. PlotData is both a post-acquisition and an advanced interactive data analysis environment. PlotData requires unidirectional waveform data with both uniform and discrete time-series measurements. PlotData operates on a National Instruments' LabVIEW™ software platform. Using PlotData, the user can capture waveform data from digitizing oscilloscopes over a GPIB, USB and Ethernet interface from Tektronix, Lecroy or Agilent scopes. PlotData can both import and export several types of binary waveform files including, but not limited to, Tektronix .wmf files,more » Lecroy.trc files and xy pair ASCIIfiles. Waveform manipulation includes numerous math functions, integration, differentiation, smoothing, truncation, and other specialized data reduction routines such as VISAR, POV, PVDF (Bauer) piezoelectric gauges, and piezoresistive gauges such as carbon manganin pressure gauges.« less

Classification of municipal occupations.

PubMed

Ilmarinen, J; Suurnäkki, T; Nygård, C H; Landau, K

1991-01-01

Eighty-eight job titles were analyzed with the "ergonomic job analysis procedure" [Arbeitswissenschaftliche Erhebungsverfahren zur Tätigkeits-analyse abbreviated (AET) in German]. The objective was to classify the wide range of municipal jobs into homogeneous groups according to job demand and to provide better possibilities to study the relationships between work and health among the aging municipal working population. Altogether 216 items were classified. First, a hierarchical cluster analysis was made, and a dendrogram of the analyzed job titles was drawn. Second, a profile analysis was done in which the single items were grouped into 39 sum items, and a graphic profile was drawn. Finally, the stress factors were listed and drawn in ranking order. The cluster analysis formed 13 groups. Groups exposed to the highest stress factor level were kitchen supervisors, dentists, and physicians. More than 10 stress factors (greater than 50% of the maximum) were found in nursing, administration, installation, transport, and technical supervision.

How do nurse consultant job characteristics impact on job satisfaction? An Australian quantitative study.

PubMed

Giles, Michelle; Parker, Vicki; Mitchell, Rebecca; Conway, Jane

2017-01-01

There is a direct link between job satisfaction, nurses' job performance and improved patient outcomes. Understanding what job characteristics influence job satisfaction is vital if health organizations are to optimize individual employee satisfaction and performance. This is particularly necessary in the Nurse Consultant role, which is a multifaceted role that has evolved to meet the dynamic and changing needs of health services. This study aims to examine how job characteristics influence Nurse Consultant job satisfaction and identify differences across metropolitan and rural contexts. This paper presents quantitative findings that are part of a larger prospective cross sectional mixed method study. An online survey consisting of a variety of job characteristic factors was administered to all NCs working in a large Local Health District in New South Wales, Australia over an 8-week period in 2010. Descriptive analysis identified NC's perceptions of job satisfaction and job characteristics in their current role and factor and regression analysis identified relationships between these factors. Job satisfaction was identified as high (mean 4.3) and is strongly correlated with job autonomy, role clarity, role conflict and job support. A high level of role clarity has a moderating effect on the relationship between job autonomy and job satisfaction. Study findings inform how we prepare nurses for the NC role and how managers engage with and support NCs in their role taking into account context. Understanding the factors that influence job satisfaction and role effectiveness gives managers valuable information to assist in positioning and supporting these roles to maximize effectiveness across integrated and contemporary models of health care delivery.

Relative equilibrium plot improves graphical analysis and allows bias correction of standardized uptake value ratio in quantitative 11C-PiB PET studies.

PubMed

Zhou, Yun; Sojkova, Jitka; Resnick, Susan M; Wong, Dean F

2012-04-01

Both the standardized uptake value ratio (SUVR) and the Logan plot result in biased distribution volume ratios (DVRs) in ligand-receptor dynamic PET studies. The objective of this study was to use a recently developed relative equilibrium-based graphical (RE) plot method to improve and simplify the 2 commonly used methods for quantification of (11)C-Pittsburgh compound B ((11)C-PiB) PET. The overestimation of DVR in SUVR was analyzed theoretically using the Logan and the RE plots. A bias-corrected SUVR (bcSUVR) was derived from the RE plot. Seventy-eight (11)C-PiB dynamic PET scans (66 from controls and 12 from participants with mild cognitive impaired [MCI] from the Baltimore Longitudinal Study of Aging) were acquired over 90 min. Regions of interest (ROIs) were defined on coregistered MR images. Both the ROI and the pixelwise time-activity curves were used to evaluate the estimates of DVR. DVRs obtained using the Logan plot applied to ROI time-activity curves were used as a reference for comparison of DVR estimates. Results from the theoretic analysis were confirmed by human studies. ROI estimates from the RE plot and the bcSUVR were nearly identical to those from the Logan plot with ROI time-activity curves. In contrast, ROI estimates from DVR images in frontal, temporal, parietal, and cingulate regions and the striatum were underestimated by the Logan plot (controls, 4%-12%; MCI, 9%-16%) and overestimated by the SUVR (controls, 8%-16%; MCI, 16%-24%). This bias was higher in the MCI group than in controls (P < 0.01) but was not present when data were analyzed using either the RE plot or the bcSUVR. The RE plot improves pixelwise quantification of (11)C-PiB dynamic PET, compared with the conventional Logan plot. The bcSUVR results in lower bias and higher consistency of DVR estimates than of SUVR. The RE plot and the bcSUVR are practical quantitative approaches that improve the analysis of (11)C-PiB studies.

[The relationship between job retainment and job satisfaction of hospital nurses].

PubMed

Lee, H W

1994-01-01

The purpose of this study was to describe the job retainment factors and the level of job satisfaction, and to identify the relationship between job retainment and the level of job satisfaction among the registered nurses working in hospitals. Four hundred eight registered nurses currently employed at 8 hospitals in Seoul were surveyed for the study. The 39 item, 5 point likert scale questionnaire was developed by the researcher. The internal consistency of job satisfaction was. 86 and that of job retainment was. 90 in Cronbach's alpha test. The data sas collected from July 15 to July 30, 1993. The SPSS/PC+statistical program was used for data analysis. The descriptive analysis of the characteristics of the subjects, the level of job satisfaction and the job retainment factors was done. The relationship between the job satisfaction level and the job retainment factors was tested with the Pearson Correlation Coefficient analysis, and the differences of job retainment scores among the sample was tested with t-test and ANOVA. The results of the study were summarized. 1. The mean age of the subjects was 29.7 years, 41.7% of them were married. 71.1% of them were 3 years course graduates, 71.8% of them were staff nurses, and the mean duration of experience was 6 years. 2. The factors related to professionalism (3.43), society (3.31), and interpersonal relationship (3.29) were significant in job retainment. The maximum score was 5.0 Two other factors, personal (3.05) and organization (2.83) factors, also showed relatively high scores. 3. The factors to the job satisfaction showed similar pattern as job retainment: professionalism (3.47), society (3.33), finance (3.31), interpersonal relationship (3.02), and organization (2.72). 4. Society related factors (r = .7420, p < .001) and professionalism (r = .7249, p < .001) had high correlation with job retainment. Personal (r = .6372, p < .001) and organizational (r = .3597, p < .001) factors had moderate relationship to job retainment. Finance (r = .3597, p < .001) had significant but weak relationship to job retainment. 5. Age, marital status, job position, departmental involvement, experience, and continuity of employment of the sample showed significant differences in job retainment. However, the period of job retainment, number of children, educational level, type of hospital, previous employment experience were not significant. 6. Individuals older than 40 years of age, who were married, who held the position of charge or head nurse position, who worked in central supply or nursing administration showed significantly high job retainment score.4+ among nurses.

A tool to determine crown and plot canopy transparency for forest inventory and analysis phase 3 plots using digital photographs

Treesearch

Matthew F. Winn; Philip A. Araman

2012-01-01

The USDA Forest Service Forest Inventory and Analysis (FIA) program collects crown foliage transparency estimates for individual trees on Phase 3 (P3) inventory plots. The FIA crown foliage estimate is obtained from a pair of perpendicular side views of the tree. Researchers with the USDA Forest Service Southern Research Station have developed a computer program that...

An urban forest-inventory-and-analysis investigation in Oregon and Washington

Treesearch

Jacob L. Strunk; John R. Mills; Paul Ries; Hailemariam Temesgen; Lacey Jeroue

2016-01-01

The U.S. Department of Agriculture (USDA) Forest Service, Forest Inventory and Analysis program recently inventoried trees on 257 sample plots in the urbanized areas of Oregon and Washington. Plots were located on the standard grid (≈1 plot/2428 ha) and installed with the 4-subplot footprint (≈.067 ha with 4 circular subplots). Using these data, we examined: 1) use of...

The Effects of Perceptions of Organizational Structure on Job Involvement, Job Satisfaction, and Organizational Commitment Among Indian Police Officers.

PubMed

Lambert, Eric G; Qureshi, Hanif; Klahm, Charles; Smith, Brad; Frank, James

2017-12-01

Successful police organizations rely on involved, satisfied, and committed workers. The concepts of job involvement (i.e., connection with the job), job satisfaction (i.e., affective feeling toward the job), and organizational commitment (i.e., bond with the employing organization) have been shown to significantly affect intentions and behaviors of employees. The current study used multivariate ordinary least squares (OLS) regression analysis on survey results from a sample of 827 Indian police officers to explore how perceptions of work environment factors affect officers' job involvement, job satisfaction, and organizational commitment. Organizational support, formalization (i.e., level of codified written rules and guidelines), promotional opportunities, institutional communication (i.e., salient work information is transmitted), and input into decision-making (i.e., having a voice in the process) significantly influenced the job involvement, job satisfaction, and organizational commitment of Indian police officers. Specifically, in the multivariate analysis, perceptions of formalization and instrumental communication had a positive relationship with job involvement; perceptions of organizational support, promotional opportunities, instrumental communication, and input into decision-making had positive associations with job satisfaction; and perceptions of organizational support, formalization, promotional opportunities, instrumental communication, and input into decision-making had positive relationships with organizational commitment.

The impact of psychological empowerment and organisational commitment on Chinese nurses' job satisfaction.

PubMed

Ouyang, Yan-Qiong; Zhou, Wen-Bin; Qu, Hui

2015-01-01

Research findings have shown that job satisfaction of Chinese nurses is at a low level. Limited studies have focused on the impact of psychological empowerment and organisational commitment on job satisfaction of Chinese nurses. The aim of this study is to describe job satisfaction, psychological empowerment and organisational commitment of Chinese nurses and to explore the impact of psychological empowerment and organisational commitment on the nurses' job satisfaction. A total of 726 nurses were recruited in a convenience sample from 10 tertiary hospitals. Data were collected using four questionnaires including Job Satisfaction Survey, Psychological Empowerment Scale, Organisational Commitment Scale and Demographic Questionnaire. Descriptive analysis, correlation and stepwise multiple regression were used for data analysis. Nurses' job satisfaction, psychological empowerment and organisational commitment were identified at moderate levels. Nurses' job satisfaction and psychological empowerment were significantly different in terms of age and length of service; nurse job satisfaction varied with respect to marital status. Findings further indicated that nurse job satisfaction was positively correlated with psychological empowerment and organisational commitment. Psychological empowerment, organisational commitment and marital status were significant predicting factors of nurse job satisfaction. This study provides evidence to help nursing managers and health policy-makers to develop intervention programs aimed at enhancing nurse job satisfaction and retaining nurses.

The impact of psychological empowerment and organizational commitment on Chines nurses' job satisfaction.

PubMed

Zhou, Wen-Bin; Ouyang, Yan-Qiong; Qu, Hui

2014-11-10

Abstract Background: Research findings have shown that job satisfaction of Chinese nurses is at a low level. Limited studies have focused on the impact of psychological empowerment and organizational commitment on job satisfaction of Chinese nurses. Aims: The aim of this study is to describe job satisfaction, psychological empowerment and organizational commitment of Chinese nurses and to explore the impact of psychological empowerment and organizational commitment on the nurses' job satisfaction. Methods: A total of 726 nurses were recruited in a convenience sample from 10 tertiary hospitals. Data were collected using four questionnaires including Job Satisfaction Survey, Psychological Empowerment Scale, Organizational Commitment Scale and Demographic Questionnaire. Descriptive analysis, correlation and stepwise multiple regression were used for data analysis. Results: Nurses' job satisfaction, psychological empowerment, and organizational commitment were identified at moderate levels. Nurses' job satisfaction and psychological empowerment were significantly different in terms of age and length of service; nurse job satisfaction varied with respect to marital status. Findings further indicated that nurse job satisfaction was positively correlated with psychological empowerment and organizational commitment. Psychological empowerment, organizational commitment, and marital status were significant predicting factors of nurse job satisfaction. Conclusions: This study provides evidence to help nursing managers and health policy-makers to develop intervention programs aimed at enhancing nurse job satisfaction and retaining nurses.

Reasons for job separations in a cohort of workers with psychiatric disabilities.

PubMed

Cook, Judith A; Burke-Miller, Jane K

2015-01-01

We explored the relative effects of adverse working conditions, job satisfaction, wages, worker characteristics, and local labor markets in explaining voluntary job separations (quits) among employed workers with psychiatric disabilities. Data come from the Employment Intervention Demonstration Program in which 2,086 jobs were ended by 892 workers during a 24 mo observation period. Stepped multivariable logistic regression analysis examined the effect of variables on the likelihood of quitting. Over half (59%) of all job separations were voluntary while 41% were involuntary, including firings (17%), temporary job endings (14%), and layoffs (10%). In multivariable analysis, workers were more likely to quit positions at which they were employed for 20 h/wk or less, those with which they were dissatisfied, low-wage jobs, non-temporary positions, and jobs in the structural (construction) occupations. Voluntary separation was less likely for older workers, members of racial and ethnic minority groups, and those residing in regions with lower unemployment rates. Patterns of job separations for workers with psychiatric disabilities mirrored some findings regarding job leaving in the general labor force but contradicted others. Job separation antecedents reflect the concentration of jobs for workers with psychiatric disabilities in the secondary labor market, characterized by low-salaried, temporary, and part-time employment.

Job satisfaction of nurses and identifying factors of job satisfaction in Slovenian Hospitals.

PubMed

Lorber, Mateja; Skela Savič, Brigita

2012-06-01

To determine the level of job satisfaction of nursing professionals in Slovenian hospitals and factors influencing job satisfaction in nursing. The study included 4 hospitals selected from the hospital list comprising 26 hospitals in Slovenia. The employees of these hospitals represent 29.8% and 509 employees included in the study represent 6% of all employees in nursing in Slovenian hospitals. One structured survey questionnaire was administered to the leaders and the other to employees, both consisting 154 items evaluated on a 5 point Likert-type scale. We examined the correlation between independent variables (age, number of years of employment, behavior of leaders, personal characteristics of leaders, and managerial competencies of leaders) and the dependent variable (job satisfaction - satisfaction with the work, coworkers, management, pay, etc) by applying correlation analysis and multivariate regression analysis. In addition, factor analysis was used to establish characteristic components of the variables measured. We found a medium level of job satisfaction in both leaders (3.49±0.5) and employees (3.19±0.6), however, there was a significant difference between their estimates (t=3.237; P=lt;0.001). Job satisfaction was explained by age (Plt;0.05; β=0.091), years of employment (Plt;0.05; β=0.193), personal characteristics of leaders (Plt;0.001; β=0.158), and managerial competencies of leaders (Plt;0.000; β=0.634) in 46% of cases. The factor analysis yielded four factors explaining 64% of the total job satisfaction variance. Satisfied employees play a crucial role in an organization's success, so health care organizations must be aware of the importance of employees' job satisfaction. It is recommended to monitor employees' job satisfaction levels on an annual basis.

Combined analysis of job and task benzene air exposures among workers at four US refinery operations

PubMed Central

Shin, Jennifer (Mi); Unice, Ken M; Gaffney, Shannon H; Kreider, Marisa L; Gelatt, Richard H; Panko, Julie M

2016-01-01

Workplace air samples analyzed for benzene at four US refineries from 1976 to 2007 were pooled into a single dataset to characterize similarities and differences between job titles, tasks and refineries, and to provide a robust dataset for exposure reconstruction. Approximately 12,000 non-task (>180 min) personal samples associated with 50 job titles and 4000 task (<180 min) samples characterizing 24 tasks were evaluated. Personal air sample data from four individual refineries were pooled based on a number of factors including (1) the consistent sampling approach used by refinery industrial hygienists over time, (2) the use of similar exposure controls, (3) the comparability of benzene content of process streams and end products, (4) the ability to assign uniform job titles and task codes across all four refineries, and (5) our analysis of variance (ANOVA) of the distribution of benzene air concentrations for select jobs/tasks across all four refineries. The jobs and tasks most frequently sampled included those with highest potential contact with refinery product streams containing benzene, which reflected the targeted sampling approach utilized by the facility industrial hygienists. Task and non-task data were analyzed to identify and account for significant differences within job-area, task-job, and task-area categories. This analysis demonstrated that in general, areas with benzene containing process streams were associated with greater benzene air concentrations compared to areas with process streams containing little to no benzene. For several job titles and tasks analyzed, there was a statistically significant decrease in benzene air concentration after 1990. This study provides a job and task-focused analysis of occupational exposure to benzene during refinery operations, and it should be useful for reconstructing refinery workers’ exposures to benzene over the past 30 years. PMID:26862134

Combined analysis of job and task benzene air exposures among workers at four US refinery operations.

PubMed

Burns, Amanda; Shin, Jennifer Mi; Unice, Ken M; Gaffney, Shannon H; Kreider, Marisa L; Gelatt, Richard H; Panko, Julie M

2017-03-01

Workplace air samples analyzed for benzene at four US refineries from 1976 to 2007 were pooled into a single dataset to characterize similarities and differences between job titles, tasks and refineries, and to provide a robust dataset for exposure reconstruction. Approximately 12,000 non-task (>180 min) personal samples associated with 50 job titles and 4000 task (<180 min) samples characterizing 24 tasks were evaluated. Personal air sample data from four individual refineries were pooled based on a number of factors including (1) the consistent sampling approach used by refinery industrial hygienists over time, (2) the use of similar exposure controls, (3) the comparability of benzene content of process streams and end products, (4) the ability to assign uniform job titles and task codes across all four refineries, and (5) our analysis of variance (ANOVA) of the distribution of benzene air concentrations for select jobs/tasks across all four refineries. The jobs and tasks most frequently sampled included those with highest potential contact with refinery product streams containing benzene, which reflected the targeted sampling approach utilized by the facility industrial hygienists. Task and non-task data were analyzed to identify and account for significant differences within job-area, task-job, and task-area categories. This analysis demonstrated that in general, areas with benzene containing process streams were associated with greater benzene air concentrations compared to areas with process streams containing little to no benzene. For several job titles and tasks analyzed, there was a statistically significant decrease in benzene air concentration after 1990. This study provides a job and task-focused analysis of occupational exposure to benzene during refinery operations, and it should be useful for reconstructing refinery workers' exposures to benzene over the past 30 years.

Traditional and Cognitive Job Analyses as Tools for Understanding the Skills Gap.

ERIC Educational Resources Information Center

Hanser, Lawrence M.

Traditional methods of job and task analysis may be categorized as worker-oriented methods focusing on general human behaviors performed by workers in jobs or as job-oriented methods focusing on the technologies involved in jobs. The ability of both types of traditional methods to identify, understand, and communicate the skills needed in high…

Determining Positions and Desired Applicant Characteristics in Sports Job Ads

ERIC Educational Resources Information Center

Atali, Levent

2015-01-01

The purpose of this study is to determine the diversity of positions occurring in sports job ads and reveal the characteristics requested from applicants for each position. This study examined 103 sports-related job ads obtained from four human resources websites. Using content analysis, job ads were examined in terms of job titles, and the…

Using Job Analytic Perceptions to Predict Stressor Levels among Factory Supervisors.

ERIC Educational Resources Information Center

Love, Kevin G.; And Others

Job stress is recognized as a primary roadblock to achieving job satisfaction. In order to investigate the linkage between important job characteristics and stressor levels, 378 factory supervisors (aged 45-54; 89 percent male; 93 percent white with an average of 21 years with the company) completed a two-part job analysis questionnaire. In the…

Examining a Proposed Job Retention Model for Adult Workers with Mental Retardation

ERIC Educational Resources Information Center

Fornes, Sandra L.

2008-01-01

This research provides an analysis of factors predicting job retention (JR), job satisfaction (JS), and job performance (JP) of workers with mental retardation (MR). The findings highlight self-determination as a critical skill in influencing three important employee's outcomes, JR, JS, and JP. The intent of the study was to develop job retention…

Identifying Skill Requirements for GIS Positions: A Content Analysis of Job Advertisements

ERIC Educational Resources Information Center

Hong, Jung Eun

2016-01-01

This study identifies the skill requirements for geographic information system (GIS) positions, including GIS analysts, programmers/developers/engineers, specialists, and technicians, through a content analysis of 946 GIS job advertisements from 2007-2014. The results indicated that GIS job applicants need to possess high levels of GIS analysis…

Information Systems Security Job Advertisement Analysis: Skills Review and Implications for Information Systems Curriculum

ERIC Educational Resources Information Center

Brooks, Nita G.; Greer, Timothy H.; Morris, Steven A.

2018-01-01

The authors' focus was the assessment of skill requirements for information systems security positions to understand expectations for security jobs and to highlight issues relevant to curriculum management. The analysis of 798 job advertisements involved the exploration of domain-related and soft skills as well as degree and certification…

The Impact of Organizational Commitment and Nursing Organizational Culture on Job Satisfaction in Korean American Registered Nurses.

PubMed

Kim, Young Im; Geun, Hyo Geun; Choi, SookJa; Lee, Young Sil

2016-09-01

This study aimed to describe the perceived level of organizational commitment and organizational culture of Korean American Registered Nurses (KARNs) and to investigate predictors of job satisfaction. A total of 163 KARNs working in U.S. hospitals responded to a Web survey. Descriptive analysis, t test, analysis of variance, and stepwise regressions were used for data analysis. KARNs reported moderate levels of job satisfaction (3.5 ± 0.58). Job satisfaction was positively correlated with both organizational commitment (r = .85, p < .001) and culture (r = .66, p < .001). KARNs who were aged ≥50, married, hospital-employed, had longer nursing experience, and experienced turnover at least once were more likely to report higher job satisfaction compared with other nurses. Organizational commitment, culture, marital status, and workplace were significant predictors of and explained 76.8% of the variance in job satisfaction. This study provides evidence to help nursing managers and health policy makers develop educational programs aimed at enhancing job satisfaction and retention of KARNs. © The Author(s) 2016.

[Relationship between job satisfaction and occupational stress in the workers of a thermal power plant].

PubMed

Gu, Gui-zhen; Yu, Shan-fa; Zhou, Wen-hui

2011-12-01

To explore the relationship between job satisfaction and occupational stress in the workers of a thermal power plant. The cluster sampling method was used to investigate 875 workers in a thermal power plant. The job satisfaction, occupational stressors, strains, personalities, meeting strategy and social support were measured using occupational stress instruments, job content questionnaire and effort-reward imbalance questionnaire. There were no significant differences of job satisfaction scores between different groups according to sex, educational level, marriage status, smoking and drinking (P > 0.05). But there were significant differences of job satisfaction scores between different age groups or between different service length groups (P < 0.01). The correlation analysis revealed that job satisfaction scores were related positively to responsibility for persons and things, promotion opportunity, job control, job stabilization, rewards, mental health, positive affectivity, self-esteem, superior support and coworker support scores (P < 0.05 or P < 0.01), negatively to role ambiguity and conflict, job future ambiguity, job demands, negative affectivity, depressive symptoms, patience, and mental locus of work control(P < 0.05 or P < 0.01). The results of variance analysis indicated that the job relationship, responsibility for persons and things, promotion opportunity, job control, job stabilization, reward, mental health, positive affectivity, self-esteem and buffer scores of the workers with high job satisfaction scores were significantly higher than those of workers with moderate and lower job satisfaction scores (P < 0.01), but the role ambiguity and conflict, job future ambiguity, job demands, and depressive symptoms scores and mental locus of work control of the workers with high job satisfaction scores were significantly lower than those of workers with moderate and lower job satisfaction scores (P < 0.05 or P < 0.01). The results of multivariate logistic regression analysis showed that the risk of job dissatisfaction for workers with low reward was about four times as high as that for workers with high reward (OR = 3.773), the risks of job dissatisfaction for workers with low social support and mental locus of external work control were about two times as high as that for workers with high social support or mental locus of internal work control (OR = 2.419 and 2.219, respectively). The daily life stress, low control strategy, low support strategy, low job control and negative affectivity were risk factors of job dissatisfaction (OR = 1.125 approximately 1.790), but the self-esteem and positive affectivity could reduce the risk of job dissatisfaction. Increasing the decision level, social support, meeting strategy and reward or decreasing the role conflict and ambiguity, demands and negative affectivity could improve worker's job satisfaction level.

A framework supporting the development of a Grid portal for analysis based on ROI.

PubMed

Ichikawa, K; Date, S; Kaishima, T; Shimojo, S

2005-01-01

In our research on brain function analysis, users require two different simultaneous types of processing: interactive processing to a specific part of data and high-performance batch processing to an entire dataset. The difference between these two types of processing is in whether or not the analysis is for data in the region of interest (ROI). In this study, we propose a Grid portal that has a mechanism to freely assign computing resources to the users on a Grid environment according to the users' two different types of processing requirements. We constructed a Grid portal which integrates interactive processing and batch processing by the following two mechanisms. First, a job steering mechanism controls job execution based on user-tagged priority among organizations with heterogeneous computing resources. Interactive jobs are processed in preference to batch jobs by this mechanism. Second, a priority-based result delivery mechanism that administrates a rank of data significance. The portal ensures a turn-around time of interactive processing by the priority-based job controlling mechanism, and provides the users with quality of services (QoS) for interactive processing. The users can access the analysis results of interactive jobs in preference to the analysis results of batch jobs. The Grid portal has also achieved high-performance computation of MEG analysis with batch processing on the Grid environment. The priority-based job controlling mechanism has been realized to freely assign computing resources to the users' requirements. Furthermore the achievement of high-performance computation contributes greatly to the overall progress of brain science. The portal has thus made it possible for the users to flexibly include the large computational power in what they want to analyze.

iCanPlot: Visual Exploration of High-Throughput Omics Data Using Interactive Canvas Plotting

PubMed Central

Sinha, Amit U.; Armstrong, Scott A.

2012-01-01

Increasing use of high throughput genomic scale assays requires effective visualization and analysis techniques to facilitate data interpretation. Moreover, existing tools often require programming skills, which discourages bench scientists from examining their own data. We have created iCanPlot, a compelling platform for visual data exploration based on the latest technologies. Using the recently adopted HTML5 Canvas element, we have developed a highly interactive tool to visualize tabular data and identify interesting patterns in an intuitive fashion without the need of any specialized computing skills. A module for geneset overlap analysis has been implemented on the Google App Engine platform: when the user selects a region of interest in the plot, the genes in the region are analyzed on the fly. The visualization and analysis are amalgamated for a seamless experience. Further, users can easily upload their data for analysis—which also makes it simple to share the analysis with collaborators. We illustrate the power of iCanPlot by showing an example of how it can be used to interpret histone modifications in the context of gene expression. PMID:22393367

Relationship between job stress, occupational position and job satisfaction using a brief job stress questionnaire (BJSQ).

PubMed

Kawada, Tomoyuki; Otsuka, Toshiaki

2011-01-01

Subjects with higher occupational position are speculated to have higher ability to handle with stress, and they were less affected by job stress. This study focused on the relationship between job satisfaction and three sub-scales of a brief job stress questionnaire (BJSQ) related to workload. This self-administered questionnaire was distributed to 371 employees of a company, and all the workers sent back their responses. Among the 57 items graded on a 4-point Likert-type scale to measure job stressors, psycho-physical complaints, and support for workers, the authors studied the influence of quantitative and qualitative job overload (six items), job control (three items), and support port (six items). The job satisfaction score estimated on a 4-point Likert-type scale was also used in relation to job stress determined using a 15-item scale from the BJSQ based on demand-control-support model. Occupational positions were classified into directors, managers, and general workers, and the content of job was classified into clerical workers, skilled technicians, and unskilled manual workers. All the scales on job stress presented acceptable alpha coefficients reflecting high internal consistency (job demand: 0.855, job control: 0.644, and support: 0.878, respectively). Principal axis factor analysis was conducted, and three factors were extracted; support, job demand and job control. There was a significant difference in the mean score among four groups divided by the job satisfaction level as evaluated by Dunnett's multiple comparison, and members who were dissatisfied with their job showed a high job demand, limited job control, and poor support. The mean score of support for managers were significantly higher (lower support) than that for general workers. The logistic regression analysis revealed that job control and support contributed significantly to job satisfaction. In addition, unskilled manual workers showed significantly higher job dissatisfaction compared with clerical workers. Worsening of job satisfaction was related to poor job control and lack of support. Strategies to alleviate job stress are therefore urgently needed.

Modeling post-fire woody carbon dynamics with data from remeasured inventory plots

Treesearch

Bianca N.I. Eskelson; Jeremy Fried; Vicente Monleon

2015-01-01

In California, the Forest Inventory and Analysis (FIA) plots within large fires were visited one year after the fire occurred resulting in a time series of measurements before and after fire. During this additional plot visit, the standard inventory measurements were augmented for these burned plots to assess fire effects. One example of the additional measurements is...

Practical Considerations When Using Perturbed Forest Inventory Plot Locations To Develop Spatial Models: A Case Study

Treesearch

John W. Coulston; Gregory A. Reams; Ronald E. McRoberts; William D. Smith

2006-01-01

U.S. Department of Agriculture Forest Service Forest Inventory and Analysis plot information is used in many capacities including timber inventories, forest health assessments, and environmental risk analyses. With few exceptions, actual plot locations cannot be revealed to the general public. The public does, however, have access to perturbed plot coordinates. The...

Variable Selection Strategies for Small-area Estimation Using FIA Plots and Remotely Sensed Data

Treesearch

Andrew Lister; Rachel Riemann; James Westfall; Mike Hoppus

2005-01-01

The USDA Forest Service's Forest Inventory and Analysis (FIA) unit maintains a network of tens of thousands of georeferenced forest inventory plots distributed across the United States. Data collected on these plots include direct measurements of tree diameter and height and other variables. We present a technique by which FIA plot data and coregistered...

Runoff and soil erosion plot-scale studies under natural rainfall: A meta-analysis of the Brazilian experience

USDA-ARS?s Scientific Manuscript database

Research to measure soil erosion rates in the United States from natural rainfall runoff plots began in the early 1900’s. In Brazil, the first experimental study at the plot-scale was conducted in the 1940’s; however, the monitoring process and the creation of new experimental field plots have not c...

Job Strain and Health-Related Lifestyle: Findings From an Individual-Participant Meta-Analysis of 118 000 Working Adults

PubMed Central

Heikkilä, Katriina; Fransson, Eleonor I.; Nyberg, Solja T.; Zins, Marie; Westerlund, Hugo; Westerholm, Peter; Virtanen, Marianna; Vahtera, Jussi; Suominen, Sakari; Steptoe, Andrew; Salo, Paula; Pentti, Jaana; Oksanen, Tuula; Nordin, Maria; Marmot, Michael G.; Lunau, Thorsten; Ladwig, Karl-Heinz; Koskenvuo, Markku; Knutsson, Anders; Kittel, France; Jöckel, Karl-Heinz; Goldberg, Marcel; Erbel, Raimund; Dragano, Nico; DeBacquer, Dirk; Clays, Els; Casini, Annalisa; Alfredsson, Lars; Ferrie, Jane E.; Singh-Manoux, Archana; Batty, G. David; Kivimäki, Mika

2013-01-01

Objectives. We examined the associations of job strain, an indicator of work-related stress, with overall unhealthy and healthy lifestyles. Methods. We conducted a meta-analysis of individual-level data from 11 European studies (cross-sectional data: n = 118 701; longitudinal data: n = 43 971). We analyzed job strain as a set of binary (job strain vs no job strain) and categorical (high job strain, active job, passive job, and low job strain) variables. Factors used to define healthy and unhealthy lifestyles were body mass index, smoking, alcohol intake, and leisure-time physical activity. Results. Individuals with job strain were more likely than those with no job strain to have 4 unhealthy lifestyle factors (odds ratio [OR] = 1.25; 95% confidence interval [CI] = 1.12, 1.39) and less likely to have 4 healthy lifestyle factors (OR = 0.89; 95% CI = 0.80, 0.99). The odds of adopting a healthy lifestyle during study follow-up were lower among individuals with high job strain than among those with low job strain (OR = 0.88; 95% CI = 0.81, 0.96). Conclusions. Work-related stress is associated with unhealthy lifestyles and the absence of stress is associated with healthy lifestyles, but longitudinal analyses suggest no straightforward cause–effect relationship between work-related stress and lifestyle. PMID:23678931

Distributed analysis at LHCb

NASA Astrophysics Data System (ADS)

Williams, Mike; Egede, Ulrik; Paterson, Stuart; LHCb Collaboration

2011-12-01

The distributed analysis experience to date at LHCb has been positive: job success rates are high and wait times for high-priority jobs are low. LHCb users access the grid using the GANGA job-management package, while the LHCb virtual organization manages its resources using the DIRAC package. This clear division of labor has benefitted LHCb and its users greatly; it is a major reason why distributed analysis at LHCb has been so successful. The newly formed LHCb distributed analysis support team has also proved to be a success.

Using T-Z plots as a graphical method to infer lithological variations from growth strata

NASA Astrophysics Data System (ADS)

Castelltort, Sébastien; Pochat, Stéphane; Van Den Driessche, Jean

2004-08-01

The 'T-Z plot' method consists of plotting the throw of sedimentary horizons across a growth fault versus their depth in the hanging wall. This method has been initially developed for the analysis of growth fault kinematics from seismic data. A brief analytical examination of such plots shows that they can also provide valuable information about the evolution of fault topography. When growth is a continuous process, stages of topography creation (fault scarp) and filling (of the space available in the hanging-wall) are related to non-dynamic (draping, mud-prone pelagic settling) and dynamic (sand-prone, dynamically deposited) sedimentation, respectively. In this case, the T-Z plot analysis becomes a powerful tool to predict major lithological variations on seismic profiles in faulted settings.

The DACUM Job Analysis Process.

ERIC Educational Resources Information Center

Dofasco, Inc., Hamilton (Ontario).

This document explains the DACUM (Developing A Curriculum) process for analyzing task-based jobs to: identify where standard operating procedures are required; identify duplicated low value added tasks; develop performance standards; create job descriptions; and identify the elements that must be included in job-specific training programs. The…

Race as a predictor of job satisfaction and turnover in US nurses.

PubMed

Doede, Megan

2017-04-01

The purpose of this analysis is to determine US minority nurses' job satisfaction and turnover using three outcome variables: job dissatisfaction; change of jobs; and intent to quit. A balanced nursing workforce is essential for supporting a racially diverse nation. Understanding minority nurses' job satisfaction is the first step in achieving this balance. A secondary data analysis was conducted using the 2008 National Sample Survey of Registered Nurses. The association between race and job satisfaction was examined using logistic regression. Black nurses were more likely to intend to quit than white ones (OR = 1.46, 95% CI = 1.31-1.64), as were Hispanics (OR = 1.35, 95% CI = 1.18-1.55). Asians were less dissatisfied (OR = 0.69, 95% CI = 0.57-0.84), and less likely to have changed jobs (OR = 0.71, 95% CI = 0.60-85) or intend to quit (OR = 0.84, 95% CI = 0.75-0.95) than white nurses. This analysis demonstrated that black and Hispanic nurses are more likely to intend to quit, even while controlling for dissatisfaction. The reasons for this, and the increased job satisfaction demonstrated by Asian nurses, are directions for future research. Nurse managers should endeavour to create a workplace free of discrimination. Efforts to increase the job satisfaction of all nurses are of equal importance. © 2017 John Wiley & Sons Ltd.

Job Strain and Ambulatory Blood Pressure: A Meta-Analysis and Systematic Review

PubMed Central

Dobson, Marnie; Koutsouras, George; Schnall, Peter

2013-01-01

We reviewed evidence of the relationship between job strain and ambulatory blood pressure (ABP) in 29 studies (1985–2012). We conducted a quantitative meta-analysis on 22 cross-sectional studies of a single exposure to job strain. We systematically reviewed 1 case–control study, 3 studies of cumulative exposure to job strain, and 3 longitudinal studies. Single exposure to job strain in cross-sectional studies was associated with higher work systolic and diastolic ABP. Associations were stronger in men than women and in studies of broad-based populations than those with limited occupational variance. Biases toward the null were common, suggesting that our summary results underestimated the true association. Job strain is a risk factor for blood pressure elevation. Workplace surveillance programs are needed to assess the prevalence of job strain and high ABP and to facilitate workplace cardiovascular risk reduction interventions. PMID:23327240

Analysis of multiple activity manual materials handling tasks using A Guide to Manual Materials Handling.

PubMed

Mital, A

1999-01-01

Manual handling of materials continues to be a hazardous activity, leading to a very significant number of severe overexertion injuries. Designing jobs that are within the physical capabilities of workers is one approach ergonomists have adopted to redress this problem. As a result, several job design procedures have been developed over the years. However, these procedures are limited to designing or evaluating only pure lifting jobs or only the lifting aspect of a materials handling job. This paper describes a general procedure that may be used to design or analyse materials handling jobs that involve several different kinds of activities (e.g. lifting, lowering, carrying, pushing, etc). The job design/analysis procedure utilizes an elemental approach (breaking the job into elements) and relies on databases provided in A Guide to Manual Materials Handling to compute associated risk factors. The use of the procedure is demonstrated with the help of two case studies.

Using variance components to estimate power in a hierarchically nested sampling design improving monitoring of larval Devils Hole pupfish

USGS Publications Warehouse

Dzul, Maria C.; Dixon, Philip M.; Quist, Michael C.; Dinsomore, Stephen J.; Bower, Michael R.; Wilson, Kevin P.; Gaines, D. Bailey

2013-01-01

We used variance components to assess allocation of sampling effort in a hierarchically nested sampling design for ongoing monitoring of early life history stages of the federally endangered Devils Hole pupfish (DHP) (Cyprinodon diabolis). Sampling design for larval DHP included surveys (5 days each spring 2007–2009), events, and plots. Each survey was comprised of three counting events, where DHP larvae on nine plots were counted plot by plot. Statistical analysis of larval abundance included three components: (1) evaluation of power from various sample size combinations, (2) comparison of power in fixed and random plot designs, and (3) assessment of yearly differences in the power of the survey. Results indicated that increasing the sample size at the lowest level of sampling represented the most realistic option to increase the survey's power, fixed plot designs had greater power than random plot designs, and the power of the larval survey varied by year. This study provides an example of how monitoring efforts may benefit from coupling variance components estimation with power analysis to assess sampling design.

An Analysis of Job Evaluation Committee and Job Holder Gender Effects on Job Evaluation.

ERIC Educational Resources Information Center

Lewis, Chad T.; Stevens, Cynthia Kay

1990-01-01

A total of 204 business students organized in committees evaluated jobs for accountability, knowledge and skills, and mental demands. The same position was rated more highly when held by a male rather than a female, regardless of whether the committee was predominantly male or female. The importance of anonymity of job holders when conducting job…

Job stress and job satisfaction: home care workers in a consumer-directed model of care.

PubMed

Delp, Linda; Wallace, Steven P; Geiger-Brown, Jeanne; Muntaner, Carles

2010-08-01

To investigate determinants of job satisfaction among home care workers in a consumer-directed model. Analysis of data collected from telephone interviews with 1,614 Los Angeles home care workers on the state payroll in 2003. Multivariate logistic regression analysis was used to determine the odds of job satisfaction using job stress model domains of demands, control, and support. Abuse from consumers, unpaid overtime hours, and caring for more than one consumer as well as work-health demands predict less satisfaction. Some physical and emotional demands of the dyadic care relationship are unexpectedly associated with greater job satisfaction. Social support and control, indicated by job security and union involvement, have a direct positive effect on job satisfaction. Policies that enhance the relational component of care may improve workers' ability to transform the demands of their job into dignified and satisfying labor. Adequate benefits and sufficient authorized hours of care can minimize the stress of unpaid overtime work, caring for multiple consumers, job insecurity, and the financial constraints to seeking health care. Results have implications for the structure of consumer-directed models of care and efforts to retain long-term care workers.

Influence of health on job-search behavior and re-employment: the role of job-search cognitions and coping resources.

PubMed

Carlier, B E; Schuring, M; van Lenthe, F J; Burdorf, A

2014-12-01

To investigate the influence of poor health on job-search behavior and re-employment, and the mediating role of job-search cognitions and coping resources. A prospective study was conducted among unemployed persons receiving social security benefits in the Netherlands (n = 510). Self-rated health, self-esteem, mastery, job-search cognitions, and the intention to search for a job were measured at baseline. Logistic regression analysis was used to investigate determinants of job-search behavior during a follow-up period of 6 months. Cox proportional hazards analysis was used to investigate the influence of health, job-search cognitions and coping resources on re-employment during a mean follow-up period of 23 months. Persons with poor health were less likely to search for paid employment (OR 0.58, 95 % CI 0.39-0.85) and were also less likely to find paid employment (HR 0.58, 95 % CI 0.39-0.89). Persons with a positive attitude toward job-search, high perceived social pressure to look for a job, high job-search self-efficacy and high job-search intention were more likely to search actively and also to actually find paid employment. Adjustment for job-search cognitions and coping reduced the influence of health on active search behavior by 50 % and on re-employment by 33 %. Health-related differences in job-search behavior and re-employment can be partly explained by differences in coping, job-search attitude, self-efficacy, and subjective norms towards job-search behavior. Measures to reduce the negative impact of poor health on re-employment should address the interplay of health with job-search cognitions and coping resources.

Recommendations for Review of TRADOC Pam 351-4(T).

DTIC Science & Technology

1981-07-08

demonstrate proficiency in performing task at speed required on the job . Overtrain - Trainee must be trained to a high standard of retention ...20, It different from Report) OI. SUPPLEMENTARY NOTES 1. KEY WORDS (Continue on reveree aide It necessary and Identify by block number) Job Analysis...the analysis effort. The terminology in 351-4 is confusing. For example, no distinction is made between job and task analysis. There are no practical

Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: A comparison of new and existing tests.

PubMed

Debray, Thomas P A; Moons, Karel G M; Riley, Richard D

2018-03-01

Small-study effects are a common threat in systematic reviews and may indicate publication bias. Their existence is often verified by visual inspection of the funnel plot. Formal tests to assess the presence of funnel plot asymmetry typically estimate the association between the reported effect size and their standard error, the total sample size, or the inverse of the total sample size. In this paper, we demonstrate that the application of these tests may be less appropriate in meta-analysis of survival data, where censoring influences statistical significance of the hazard ratio. We subsequently propose 2 new tests that are based on the total number of observed events and adopt a multiplicative variance component. We compare the performance of the various funnel plot asymmetry tests in an extensive simulation study where we varied the true hazard ratio (0.5 to 1), the number of published trials (N=10 to 100), the degree of censoring within trials (0% to 90%), and the mechanism leading to participant dropout (noninformative versus informative). Results demonstrate that previous well-known tests for detecting funnel plot asymmetry suffer from low power or excessive type-I error rates in meta-analysis of survival data, particularly when trials are affected by participant dropout. Because our novel test (adopting estimates of the asymptotic precision as study weights) yields reasonable power and maintains appropriate type-I error rates, we recommend its use to evaluate funnel plot asymmetry in meta-analysis of survival data. The use of funnel plot asymmetry tests should, however, be avoided when there are few trials available for any meta-analysis. © 2017 The Authors. Research Synthesis Methods Published by John Wiley & Sons, Ltd.

Convergence among Data Sources, Response Bias, and Reliability and Validity of a Structured Job Analysis Questionnaire.

ERIC Educational Resources Information Center

Smith, Jack E.; Hakel, Milton D.

1979-01-01

Examined are questions pertinent to the use of the Position Analysis Questionnaire: Who can use the PAQ reliably and validly? Must one rely on trained job analysts? Can people having no direct contact with the job use the PAQ reliably and validly? Do response biases influence PAQ responses? (Author/KC)

Development and Validation of a Computer Interactive Test Battery.

ERIC Educational Resources Information Center

Sheppard, Valarie A.; Baker, Todd A.; Gebhardt, Deborah L.; Leonard, Kristine M.

The purpose of this project was to develop valid evaluation procedures for the selection of Container Equipment Operators (CEOs) in the shipping industry. A job analysis was conducted to identify the essential tasks of the CEO job. Site visits, a task inventory, and the determination of essential tasks were used in the job analysis. The skills and…

Confirmatory Analytic Tests of Three Causal Models Relating Job Perceptions to Job Satisfaction.

DTIC Science & Technology

1984-12-01

Perceptions ~Job SatisfactionD I~i- Confirmatory Analysi s Precognitive Postcognitive L ft A e S T R A f T I ( C O n" " n ," , V fV f f vv r e # d o i t c e...in the causal order, and job perceptions and job satisfaction are reciprocally related; (b) a precognitive -recursive model in which job perceptions...occur after job satisfaction in the causal order and are effects but not causes of job satisfaction; and (c) a precognitive DD FOR 1473 EDITION 01O NOV

DOE Office of Scientific and Technical Information (OSTI.GOV)

Steed, Chad Allen

EDENx is a multivariate data visualization tool that allows interactive user driven analysis of large-scale data sets with high dimensionality. EDENx builds on our earlier system, called EDEN to enable analysis of more dimensions and larger scale data sets. EDENx provides an initial overview of summary statistics for each variable in the data set under investigation. EDENx allows the user to interact with graphical summary plots of the data to investigate subsets and their statistical associations. These plots include histograms, binned scatterplots, binned parallel coordinate plots, timeline plots, and graphical correlation indicators. From the EDENx interface, a user can selectmore » a subsample of interest and launch a more detailed data visualization via the EDEN system. EDENx is best suited for high-level, aggregate analysis tasks while EDEN is more appropriate for detail data investigations.« less

Interactive computer programs for the graphic analysis of nucleotide sequence data.

PubMed Central

Luckow, V A; Littlewood, R K; Rownd, R H

1984-01-01

A group of interactive computer programs have been developed which aid in the collection and graphical analysis of nucleotide and protein sequence data. The programs perform the following basic functions: a) enter, edit, list, and rearrange sequence data; b) permit automatic entry of nucleotide sequence data directly from an autoradiograph into the computer; c) search for restriction sites or other specified patterns and plot a linear or circular restriction map, or print their locations; d) plot base composition; e) analyze homology between sequences by plotting a two-dimensional graphic matrix; and f) aid in plotting predicted secondary structures of RNA molecules. PMID:6546437

Determination of variability in leaf biomass densities of conifers and mixed conifers under different environmental conditions in the San Joaquin Valley air basin. Final report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Temple, P.J.; Mutters, R.J.; Adams, C.

1995-06-01

Biomass sampling plots were established at 29 locations within the dominant vegetation zones of the study area. Estimates of foliar biomass were made for each plot by three independent methods: regression analysis on the basis of tree diameter, calculation of the amount of light intercepted by the leaf canopy, and extrapolation from branch leaf area. Multivariate regression analysis was used to relate these foliar biomass estimates for oak plots and conifer plots to several independent predictor variables, including elevation, slope, aspect, temperature, precipitation, and soil chemical characteristics.

On spectral techniques in analysis of Boolean networks

NASA Astrophysics Data System (ADS)

Kesseli, Juha; Rämö, Pauli; Yli-Harja, Olli

2005-06-01

In this work we present results that can be used for analysis of Boolean networks. The results utilize Fourier spectra of the functions in the network. An accurate formula is given for Derrida plots of networks of finite size N based on a result on Boolean functions presented in another context. Derrida plots are widely used to examine the stability issues of Boolean networks. For the limit N→∞, we give a computationally simple form that can be used as a good approximation for rather small networks as well. A formula for Derrida plots of random Boolean networks (RBNs) presented earlier in the literature is given an alternative derivation. It is shown that the information contained in the Derrida plot is equal to the average Fourier spectrum of the functions in the network. In the case of random networks the mean Derrida plot can be obtained from the mean spectrum of the functions. The method is applied to real data by using the Boolean functions found in genetic regulatory networks of eukaryotic cells in an earlier study. Conventionally, Derrida plots and stability analysis have been computed with statistical sampling resulting in poorer accuracy.

Analysis and Visualization of ChIP-Seq and RNA-Seq Sequence Alignments Using ngs.plot.

PubMed

Loh, Yong-Hwee Eddie; Shen, Li

2016-01-01

The continual maturation and increasing applications of next-generation sequencing technology in scientific research have yielded ever-increasing amounts of data that need to be effectively and efficiently analyzed and innovatively mined for new biological insights. We have developed ngs.plot-a quick and easy-to-use bioinformatics tool that performs visualizations of the spatial relationships between sequencing alignment enrichment and specific genomic features or regions. More importantly, ngs.plot is customizable beyond the use of standard genomic feature databases to allow the analysis and visualization of user-specified regions of interest generated by the user's own hypotheses. In this protocol, we demonstrate and explain the use of ngs.plot using command line executions, as well as a web-based workflow on the Galaxy framework. We replicate the underlying commands used in the analysis of a true biological dataset that we had reported and published earlier and demonstrate how ngs.plot can easily generate publication-ready figures. With ngs.plot, users would be able to efficiently and innovatively mine their own datasets without having to be involved in the technical aspects of sequence coverage calculations and genomic databases.

5 CFR 532.703 - Agency review.

Code of Federal Regulations, 2010 CFR

2010-01-01

... attachment to the decision of the reasons for the decision, including an analysis of the employee's job, i.e... Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT CIVIL SERVICE REGULATIONS PREVAILING RATE SYSTEMS Job...'s job. Note: Application for review will be hereafter referred to as an “application”. (b) In...

Job control and coworker support improve employee job performance.

PubMed

Nagami, Makiko; Tsutsumi, Akizumi; Tsuchiya, Masao; Morimoto, Kanehisa

2010-01-01

We examined the prospective association of psychosocial job characteristics with employee job performance among 777 full-time employees at a manufacturing company in Japan, using data from a one-year follow-up survey. Psychosocial job characteristics were measured by the Job Content Questionnaire in 2008; job performance was evaluated using the item from the World Mental Health Survey Instrument in 2008 and 2009. The association between psychosocial job characteristics and job performance was tested using multiple regression analysis, controlling for demographic variables, work status, average working hours per day, job type and job performance in 2008. Job control and coworker support in 2008 were positively related to job performance in 2009. Stratified analyses revealed that job control for staff and coworker support for managers were positively related to job performance in 2009. These associations were prominent among men; however, supervisor support in 2008 was negatively related to job performance in 2009 among men. Job demand was not significantly related to job performance. Our findings suggest that it is worthwhile to enhance employees' job control and provide a mutually supportive environment to ensure positive employee job performance.

Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information

Treesearch

J. A. Blackard; M. V. Finco; E. H. Helmer; G. R. Holden; M. L. Hoppus; D.M. Jacobs; A. J. Lister; G. G. Moisen; M. D. Nelson; R. Riemann; B. Ruefenacht; D. Salajanu; D. L. Weyermann; K. C. Winterberger; T. J. Brandeis; R. L. Czaplewski; R. E. McRoberts; P. L. Patterson; R. P. Tymcio

2008-01-01

A spatially explicit dataset of aboveground live forest biomass was made from ground measured inventory plots for the conterminous U.S., Alaska and Puerto Rico. The plot data are from the USDA Forest Service Forest Inventory and Analysis (FIA) program. To scale these plot data to maps, we developed models relating field-measured response variables to plot attributes...

Job-mix modeling and system analysis of an aerospace multiprocessor.

NASA Technical Reports Server (NTRS)

Mallach, E. G.

1972-01-01

An aerospace guidance computer organization, consisting of multiple processors and memory units attached to a central time-multiplexed data bus, is described. A job mix for this type of computer is obtained by analysis of Apollo mission programs. Multiprocessor performance is then analyzed using: 1) queuing theory, under certain 'limiting case' assumptions; 2) Markov process methods; and 3) system simulation. Results of the analyses indicate: 1) Markov process analysis is a useful and efficient predictor of simulation results; 2) efficient job execution is not seriously impaired even when the system is so overloaded that new jobs are inordinately delayed in starting; 3) job scheduling is significant in determining system performance; and 4) a system having many slow processors may or may not perform better than a system of equal power having few fast processors, but will not perform significantly worse.

ANALYSIS/PLOT: a graphics package for use with the SORT/ANALYSIS data bases

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sady, C.A.

1983-08-01

This report describes a graphics package that is used with the SORT/ANALYSIS data bases. The data listed by the SORT/ANALYSIS program can be presented in pie, bar, line, or Gantt chart form. Instructions for the use of the plotting program and descriptions of the subroutines are given in the report.

Job insecurity and risk of diabetes: a meta-analysis of individual participant data.

PubMed

Ferrie, Jane E; Virtanen, Marianna; Jokela, Markus; Madsen, Ida E H; Heikkilä, Katriina; Alfredsson, Lars; Batty, G David; Bjorner, Jakob B; Borritz, Marianne; Burr, Hermann; Dragano, Nico; Elovainio, Marko; Fransson, Eleonor I; Knutsson, Anders; Koskenvuo, Markku; Koskinen, Aki; Kouvonen, Anne; Kumari, Meena; Nielsen, Martin L; Nordin, Maria; Oksanen, Tuula; Pahkin, Krista; Pejtersen, Jan H; Pentti, Jaana; Salo, Paula; Shipley, Martin J; Suominen, Sakari B; Tabák, Adam; Theorell, Töres; Väänänen, Ari; Vahtera, Jussi; Westerholm, Peter J M; Westerlund, Hugo; Rugulies, Reiner; Nyberg, Solja T; Kivimäki, Mika

2016-12-06

Job insecurity has been associated with certain health outcomes. We examined the role of job insecurity as a risk factor for incident diabetes. We used individual participant data from 8 cohort studies identified in 2 open-access data archives and 11 cohort studies participating in the Individual-Participant-Data Meta-analysis in Working Populations Consortium. We calculated study-specific estimates of the association between job insecurity reported at baseline and incident diabetes over the follow-up period. We pooled the estimates in a meta-analysis to produce a summary risk estimate. The 19 studies involved 140 825 participants from Australia, Europe and the United States, with a mean follow-up of 9.4 years and 3954 incident cases of diabetes. In the preliminary analysis adjusted for age and sex, high job insecurity was associated with an increased risk of incident diabetes compared with low job insecurity (adjusted odds ratio [OR] 1.19, 95% confidence interval [CI] 1.09-1.30). In the multivariable-adjusted analysis restricted to 15 studies with baseline data for all covariates (age, sex, socioeconomic status, obesity, physical activity, alcohol and smoking), the association was slightly attenuated (adjusted OR 1.12, 95% CI 1.01-1.24). Heterogeneity between the studies was low to moderate (age- and sex-adjusted model: I 2 = 24%, p = 0.2; multivariable-adjusted model: I 2 = 27%, p = 0.2). In the multivariable-adjusted analysis restricted to high-quality studies, in which the diabetes diagnosis was ascertained from electronic medical records or clinical examination, the association was similar to that in the main analysis (adjusted OR 1.19, 95% CI 1.04-1.35). Our findings suggest that self-reported job insecurity is associated with a modest increased risk of incident diabetes. Health care personnel should be aware of this association among workers reporting job insecurity. © 2016 Canadian Medical Association or its licensors.

GOplot: an R package for visually combining expression data with functional analysis.

PubMed

Walter, Wencke; Sánchez-Cabo, Fátima; Ricote, Mercedes

2015-09-01

Despite the plethora of methods available for the functional analysis of omics data, obtaining comprehensive-yet detailed understanding of the results remains challenging. This is mainly due to the lack of publicly available tools for the visualization of this type of information. Here we present an R package called GOplot, based on ggplot2, for enhanced graphical representation. Our package takes the output of any general enrichment analysis and generates plots at different levels of detail: from a general overview to identify the most enriched categories (bar plot, bubble plot) to a more detailed view displaying different types of information for molecules in a given set of categories (circle plot, chord plot, cluster plot). The package provides a deeper insight into omics data and allows scientists to generate insightful plots with only a few lines of code to easily communicate the findings. The R package GOplot is available via CRAN-The Comprehensive R Archive Network: http://cran.r-project.org/web/packages/GOplot. The shiny web application of the Venn diagram can be found at: https://wwalter.shinyapps.io/Venn/. A detailed manual of the package with sample figures can be found at https://wencke.github.io/ fscabo@cnic.es or mricote@cnic.es. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Physical Requirements of the Workplace: Research Considerations for Personnel Selection.

ERIC Educational Resources Information Center

Hogan, Joyce C.

Personnel selection processes for physically demanding jobs often discriminate against women, minorities, and handicapped individuals. Developing and validating job-related performance tests requires the assessment of the physical demands of a job and of the same physical capabilities in individuals. Job analysis is a systematic assessment…

Improving Outcomes for Workers with Mental Retardation

ERIC Educational Resources Information Center

Fornes, Sandra; Rocco, Tonette S.; Rosenberg, Howard

2008-01-01

This research presents an analysis of factors predicting job retention, job satisfaction, and job performance of workers with mental retardation. The findings highlight self-determination as a critical skill in predicting the three important employee outcomes. The study examined a hypothesized job retention model and the outcome of the three…

Instructional Coach Job Satisfaction: An Exploration of Role Stressors

ERIC Educational Resources Information Center

Debacker, Jeffrey Paul

2013-01-01

This mixed methods dissertation examines the relationships between role conflict and job satisfaction, role ambiguity and job satisfaction, and role conflict and job satisfaction within a convenience sample of American instructional coaches (n = 46). Theoretically, this analysis is formed by Merton's idea of role-sets and how instructional…

Job satisfaction among recreation practitioners

Treesearch

Erin Parks; Andrew Holdnak

2002-01-01

Job satisfaction among recreation professionals can be affected by many working conditions. This study has investigated the impact fourteen variables had on the job satisfaction of recreation practitioners. The sample consisted of 106 responses from members of the Resort and Commercial Recreation Association (RCRA). The results of the regression analysis for job...

The 2011 nuclear medicine technology job analysis project of the American Registry of Radiologic Technologists.

PubMed

Anderson, Dan; Hubble, William; Press, Bret A; Hall, Scott K; Michels, Ann D; Koenen, Roxanne; Vespie, Alan W

2010-12-01

The American Registry of Radiologic Technologists (ARRT) conducts periodic job analysis projects to update the content and eligibility requirements for all certification examinations. In 2009, the ARRT conducted a comprehensive job analysis project to update the content specifications and clinical competency requirements for the nuclear medicine technology examination. ARRT staff and a committee of volunteer nuclear medicine technologists designed a job analysis survey that was sent to a random sample of 1,000 entry-level staff nuclear medicine technologists. Through analysis of the survey data and judgments of the committee, the project resulted in changes to the nuclear medicine technology examination task list, content specifications, and clinical competency requirements. The primary changes inspired by the project were the introduction of CT content to the examination and the expansion of the content covering cardiac procedures.

The isometric log-ratio (ilr)-ion plot: A proposed alternative to the Piper diagram

USGS Publications Warehouse

Shelton, Jenna L.; Engle, Mark A.; Buccianti, Antonella; Blondes, Madalyn S.

2018-01-01

The Piper diagram has been a staple for the analysis of water chemistry data since its introduction in 1944. It was conceived to be a method for water classification, determination of potential water mixing between end-members, and to aid in the identification of chemical reactions controlling a sample set. This study uses the information gleaned over the years since the release of the Piper diagram and proposes an alternative to it, capturing the strengths of the original diagram while adding new ideas to increase its robustness. The new method uses compositional data analysis to create 4 isometric log-ratio coordinates for the 6 major chemical species analyzed in the Piper diagram and transforms the data to a 4-field bi-plot, the ilr-ion plot. This ilr-ion plot conveys all of the information in the Piper diagram (water mixing, water types, and chemical reactions) while also visualizing additional data, the ability to examine Ca2+/Mg2+ versus Cl-/SO42−. The Piper and the ilr-ion plot were also compared using multiple synthetic and real datasets in order to illustrate the caveats and the advantages of using either diagram to analyze water chemistry data. Although there are challenges with using the ilr-ion plot (e.g., missing or zero values zeros in the dataset must be imputed by positive real numbers), it appears that the use of compositional data analysis coupled with the ilr-ion plot provides a more in-depth and complete analysis of water quality data compared to the original Piper diagram.

User's manual for the coupled rotor/airframe vibration analysis graphic package

NASA Technical Reports Server (NTRS)

Studwell, R. E.

1982-01-01

User instructions for a graphics package for coupled rotor/airframe vibration analysis are presented. Responses to plot package messages which the user must make to activate plot package operations and options are described. Installation instructions required to set up the program on the CDC system are included. The plot package overlay structure and subroutines which have to be modified for the CDC system are also described. Operating instructions for CDC applications are included.

An analysis of mortality inventory tally using large plots compared to tally using small plot clusters

Treesearch

Vernon J. LaBau; John W. Hazard

2000-01-01

During an inventory to assess spruce bark beetle impact on the Kenai Peninsula in south-central Alaska, 5-year mortality estimates were made for all growing-stock trees on 0.6 ha areas, on 0.4 ha areas, and on a cluster of four 1/60-ha subplots. The analysis of the results of the comparison between cluster data and the larger plot data highlighted some of the problems...

THE DEVELOPMENT AND BACKGROUND OF THE POSITION ANALYSIS QUESTIONNAIRE

DTIC Science & Technology

The report deals with the background and the development of the Position Analysis Questionnaire ( PAQ ), which was used as the basic job analysis...instrument in the research program. The PAQ (Form A) used in the study includes 189 job elements of an essentially ’worker-oriented’ nature, these elements...characterize certain aspects of the context within which human work is performed. The job elements of the PAQ have been used as the basis for deriving various

Simpson's paradox visualized: The example of the Rosiglitazone meta-analysis

PubMed Central

Rücker, Gerta; Schumacher, Martin

2008-01-01

Background Simpson's paradox is sometimes referred to in the areas of epidemiology and clinical research. It can also be found in meta-analysis of randomized clinical trials. However, though readers are able to recalculate examples from hypothetical as well as real data, they may have problems to easily figure where it emerges from. Method First, two kinds of plots are proposed to illustrate the phenomenon graphically, a scatter plot and a line graph. Subsequently, these can be overlaid, resulting in a overlay plot. The plots are applied to the recent large meta-analysis of adverse effects of rosiglitazone on myocardial infarction and to an example from the literature. A large set of meta-analyses is screened for further examples. Results As noted earlier by others, occurrence of Simpson's paradox in the meta-analytic setting, if present, is associated with imbalance of treatment arm size. This is well illustrated by the proposed plots. The rosiglitazone meta-analysis shows an effect reversion if all trials are pooled. In a sample of 157 meta-analyses, nine showed an effect reversion after pooling, though non-significant in all cases. Conclusion The plots give insight on how the imbalance of trial arm size works as a confounder, thus producing Simpson's paradox. Readers can see why meta-analytic methods must be used and what is wrong with simple pooling. PMID:18513392

Gender differences in job quality and job satisfaction among doctors in rural western China.

PubMed

Miao, Yang; Li, Lingui; Bian, Ying

2017-12-28

Few studies about gender differences in job quality and job satisfaction among medical professionals have been carried out in China. So the objectives of this study were to examine whether and to what extent gender differences existed in job quality and job satisfaction of doctors in rural western China. From 2009 to 2011, a total of 1472 doctors from 103 selected county-level health care facilities in rural western China were recruited into the study. Information about the doctors' demographic characteristics, job quality, and job satisfaction was collected through a designed questionnaire. Besides examining gender differences in single dimensions of job quality and job satisfaction, principal component analysis was used to construct a composite job quality index to measure the differences in the comprehensive job quality, and exploratory factor analysis was applied to evaluate the differences in the overall job satisfaction. Chi-square test was used to calculate differences between proportions, and t-test was used to compare differences between means. Among the doctors, there were 705 males and 767 females (ratio 1:1.09). Male doctors had significantly higher monthly salaries, longer working hours, more times of night shifts per month, longer continuous working hours, and longer years of service at current facilities, and marginally significantly higher hourly wage and longer years of service in current professions. However, female doctors showed greater overall job qualities. Significant and marginally significant gender differences were only found in satisfaction with remuneration compared to workload, the chance of promotion and working environment. But female showed greater satisfaction in the overall job satisfaction and the factor including sub-aspects of working environment, remuneration compared to workload, the chance of promotion, utilization of subjective initiative, and sense of achievement. Gender differences in job quality and job satisfaction did exist among doctors in rural western China. The participating female doctors were shown to have better job quality and greater job satisfaction.

Military Nursing Outcomes Database (MilNOD IV): Analysis & Expansion

DTIC Science & Technology

2011-03-29

Nurse - Level Nurse job satisfaction, nursing staff education and experience, and the nursing work environment were assessed at...dissatisfies nurses . Our analysis did not show any effect of staffing on nurse job satisfaction. 4. Should the PES should be used for all skill levels ...and patient mortality, nurse burnout , and job dissatisfaction. Journal of the American Medical Association, 288,

Identifying Multimedia Production Competencies and Skills of Instructional Design and Technology Professionals: An Analysis of Recent Job Postings

ERIC Educational Resources Information Center

Sugar, William; Hoard, Brent; Brown, Abbie; Daniels, Lee

2012-01-01

In an effort to document necessary multimedia production competencies of Instructional Design and Technology graduates, a recent analysis of over 7 months' worth of Instructional Design and Technology job advertisements (n = 615) were conducted. Specific job skills from these postings were categorized and analyzed. The data set includes three job…

Decomposing the Impacts of Overeducation and Overskilling on Earnings and Job Satisfaction: An Analysis Using REFLEX Data

ERIC Educational Resources Information Center

Sánchez-Sánchez, Nuria; McGuinness, Seamus

2015-01-01

This article assesses the extent to which the impact of overeducation and overskilling on labour market outcomes such as earnings and job satisfaction relate to mismatches in particular competency areas. The analysis uses REFLEX data, which collects information about 19 key competence areas related to job performance. We find that the penalties to…

Job-Seeking Stress, Mental Health Problems, and the Role of Perceived Social Support in University Graduates in Korea.

PubMed

Lim, Ah Young; Lee, Seung-Hee; Jeon, Yeongju; Yoo, Rankyung; Jung, Hee-Yeon

2018-05-07

Increases in unemployment and suicide in the young Korean population have recently become major social concerns in the country. The purpose of this study was to examine mental health status in young job seekers and identify sociodemographic factors related to job-seeking stress, depression, and suicidal ideation. We also explored the mediating effect of depression on the relationship between job-seeking stress and suicidal ideation and examined whether social support moderated this effect. In total, 124 university graduates completed the Job-Seeking Stress Scale, Beck Depression Inventory-II, Beck Scale for Suicide Ideation, and Multidimensional Scale of Perceived Social Support. Descriptive statistics were calculated for participants' general characteristics, and t-tests or analyses of variance, correlation analysis, simple mediation analysis, and mediated moderation analysis were performed. Of the 124 participants, 39.5% and 15.3% exhibited clinical levels of depression and suicidal ideation, respectively. Sociodemographic factors (i.e., sex, academic major, educational expenses loan, and willingness to accept irregular employment) were associated with job-seeking stress, depression, and suicidal ideation. Women and graduates who were willing to accept irregular employment exhibited high levels of job-seeking stress, depression, and suicidal ideation. Job-seeking stress affected suicidal ideation via depression, and perceived social support moderated the effect of job-seeking stress on depression and the effect of depression on suicidal ideation. The results suggest that depression management and interventions are urgently required for young job seekers, and social support should be provided to assist them both emotionally and economically.

A comparison of job descriptions for nurse practitioners working in out-of-hours primary care services: implications for workforce planning, patients and nursing.

PubMed

Teare, Jean; Horne, Maria; Clements, Gill; Mohammed, Mohammed A

2017-03-01

To compare and contrast job descriptions for nursing roles in out-of-hours services to obtain a general understanding of what is required for a nurse working in this job. Out-of-hours services provide nursing services to patients either through telephone or face-to-face contact in care centres. Many of these services are newly created giving job opportunities to nurses working in this area. It is vital that nurses know what their role entails but also that patients and other professionals know how out-of-hours nurses function in terms of competence and clinical role. Content analysis of out-of-hours job descriptions. Content analysis of a convenience sample of 16 job descriptions of out-of-hours nurses from five out-of-hours care providers across England was undertaken. The findings were narratively synthesised, supported by tabulation. Key role descriptors were examined in terms of job titles, managerial skills, clinical skills, professional qualifications and previous experience. Content analysis of each out-of-hours job description revealed a lack of consensus in clinical competence and skills required related to job title although there were many similarities in skills across all the roles. This study highlights key differences and some similarities between roles and job titles in out-of-hours nursing but requires a larger study to inform workforce planning. Out-of-hours nursing is a developing area of practice which requires clarity to ensure patient safety and quality care. © 2016 John Wiley & Sons Ltd.

Job-Seeking Stress, Mental Health Problems, and the Role of Perceived Social Support in University Graduates in Korea

PubMed Central

2018-01-01

Background Increases in unemployment and suicide in the young Korean population have recently become major social concerns in the country. The purpose of this study was to examine mental health status in young job seekers and identify sociodemographic factors related to job-seeking stress, depression, and suicidal ideation. We also explored the mediating effect of depression on the relationship between job-seeking stress and suicidal ideation and examined whether social support moderated this effect. Methods In total, 124 university graduates completed the Job-Seeking Stress Scale, Beck Depression Inventory-II, Beck Scale for Suicide Ideation, and Multidimensional Scale of Perceived Social Support. Descriptive statistics were calculated for participants' general characteristics, and t-tests or analyses of variance, correlation analysis, simple mediation analysis, and mediated moderation analysis were performed. Results Of the 124 participants, 39.5% and 15.3% exhibited clinical levels of depression and suicidal ideation, respectively. Sociodemographic factors (i.e., sex, academic major, educational expenses loan, and willingness to accept irregular employment) were associated with job-seeking stress, depression, and suicidal ideation. Women and graduates who were willing to accept irregular employment exhibited high levels of job-seeking stress, depression, and suicidal ideation. Job-seeking stress affected suicidal ideation via depression, and perceived social support moderated the effect of job-seeking stress on depression and the effect of depression on suicidal ideation. Conclusion The results suggest that depression management and interventions are urgently required for young job seekers, and social support should be provided to assist them both emotionally and economically. PMID:29736162

Cross-Scale Analysis of the Region Effect on Vascular Plant Species Diversity in Southern and Northern European Mountain Ranges

PubMed Central

Lenoir, Jonathan; Gégout, Jean-Claude; Guisan, Antoine; Vittoz, Pascal; Wohlgemuth, Thomas; Zimmermann, Niklaus E.; Dullinger, Stefan; Pauli, Harald; Willner, Wolfgang; Grytnes, John-Arvid; Virtanen, Risto; Svenning, Jens-Christian

2010-01-01

Background The divergent glacial histories of southern and northern Europe affect present-day species diversity at coarse-grained scales in these two regions, but do these effects also penetrate to the more fine-grained scales of local communities? Methodology/Principal Findings We carried out a cross-scale analysis to address this question for vascular plants in two mountain regions, the Alps in southern Europe and the Scandes in northern Europe, using environmentally paired vegetation plots in the two regions (n = 403 in each region) to quantify four diversity components: (i) total number of species occurring in a region (total γ-diversity), (ii) number of species that could occur in a target plot after environmental filtering (habitat-specific γ-diversity), (iii) pair-wise species compositional turnover between plots (plot-to-plot β-diversity) and (iv) number of species present per plot (plot α-diversity). We found strong region effects on total γ-diversity, habitat-specific γ-diversity and plot-to-plot β-diversity, with a greater diversity in the Alps even towards distances smaller than 50 m between plots. In contrast, there was a slightly greater plot α-diversity in the Scandes, but with a tendency towards contrasting region effects on high and low soil-acidity plots. Conclusions/Significance We conclude that there are strong regional differences between coarse-grained (landscape- to regional-scale) diversity components of the flora in the Alps and the Scandes mountain ranges, but that these differences do not necessarily penetrate to the finest-grained (plot-scale) diversity component, at least not on acidic soils. Our findings are consistent with the contrasting regional Quaternary histories, but we also consider alternative explanatory models. Notably, ecological sorting and habitat connectivity may play a role in the unexpected limited or reversed region effect on plot α-diversity, and may also affect the larger-scale diversity components. For instance, plot connectivity and/or selection for high dispersal ability may increase plot α-diversity and compensate for low total γ-diversity. PMID:21203521

A dansyl-rhodamine chemosensor for Fe(III) based on off-on FRET.

PubMed

Piao, Jingyu; Lv, Jia; Zhou, Xin; Zhao, Tong; Wu, Xue

2014-07-15

A novel fluorescent chemosensor bearing a rhodamine and a dansyl moiety was developed for highly selective detection of Fe(3+) based on fluorescence resonance energy transfer (FRET) mechanism. Binding of Fe(3+) to the chemosensor induced spirolactam ring opening in the rhodamine moiety and subsequent off-on FRET from the dansyl energy donor to the rhodamine energy acceptor due to the spectral overlap between the emission of the dansyl moiety and the absorption of the ring opened rhodamine moiety. Job's plot analysis indicated a 1:1 binding stoichiometry between the chemosensor and Fe(3+). The association constant was estimated to be 2.72×10(3) M(-1) according to the Benesi-Hildebrand method. With the feature of easy synthesis, simple structural skeleton and excellent sensing ability, the newly synthesized chemosensor provided the potential for applying as a highly selective fluorescent probe in complex samples containing various competitive metal ions and developing other metal ion chemosensors to fulfill various needs of biological and environmental field. Copyright © 2014 Elsevier B.V. All rights reserved.

New data model with better functionality for VLab

NASA Astrophysics Data System (ADS)

da Silveira, P. R.; Wentzcovitch, R. M.; Karki, B. B.

2009-12-01

The VLab infrastructure and architecture was further developed to allow for several new features. First, workflows for first principles calculations of thermodynamics properties and static elasticity programmed in Java as Web Services can now be executed by multiple users. Second, jobs generated by these workflows can now be executed in batch in multiple servers. A simple internal schedule was implemented to handle hundreds of execution packages generated by multiple users and avoid the overload on servers. Third, a new data model was implemented to guarantee integrity of a project (workflow execution) in case of failure. The latter can happen in an execution package or in a workflow phase. By recording all executed steps of a project, its execution can be resumed after dynamic alteration of parameters through the VLab Portal. Fourth, batch jobs can also be monitored through the portal. Now, better and faster interaction with servers is achieved using Ajax technology. Finally, plots are now created on the Vlab server using Gnuplot 4.2.2. Research supported by NSF grants ATM 0428774 (VLab). Vlab is hosted by the Minnesota Supercomputing Institute.

Maintaining the confidentiality of plot locations by exploiting the low sensitivity of forest structure models to different spectral extraction kernels

Treesearch

Sean P. Healey; Elizabeth Lapoint; Gretchen G. Moisen; Scott L. Powell

2011-01-01

The United States Forest Service Forest Inventory and Analysis (FIA) unit maintains a large national network of inventory plots.While the consistency and extent of this network make FIA data attractive for ecological modelling, the FIA is charged by statute not to publicly reveal inventory plot locations. However, use of FIA plot data by the remote sensing community...

Fuzzy recurrence plots

NASA Astrophysics Data System (ADS)

Pham, T. D.

2016-12-01

Recurrence plots display binary texture of time series from dynamical systems with single dots and line structures. Using fuzzy recurrence plots, recurrences of the phase-space states can be visualized as grayscale texture, which is more informative for pattern analysis. The proposed method replaces the crucial similarity threshold required by symmetrical recurrence plots with the number of cluster centers, where the estimate of the latter parameter is less critical than the estimate of the former.

[Influencing factors for job satisfaction in train drivers in a railway bureau: an analysis of 1413 cases].

PubMed

Gu, G Z; Yu, S F; Zhou, W H; Wu, H; Kang, L; Chen, R

2017-01-20

Objective: To investigate the influencing factors for job satisfaction in train drivers. Methods: In March 2012, cluster sampling was used to conduct a cross-sectional survey in 1413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 350 passenger shunting train drivers, and 79 high-speed train drivers) from a locomotive depot of a railway bureau. The occupational stress instruments, job content questionnaire, and effort-reward imbalance questionnaire were used to analyze job satisfaction, occupational stress factors, stress reaction, individual characteristics, coping strategies, and social support. Results: There were significant differences in job satisfaction score between the drivers with different posts, working years, ages, smoking status, and drinking status ( P <0.01). The correlation analysis revealed that job satisfaction score was positively correlated with reward, working stability, promotion opportunity, positive emotion, social support, self-esteem, and coping strategy scores ( P <0.01) and negatively correlated with sleep disorders, effort, role conflict, intergroup conflict, responsibility for persons, responsibility for things, psychological needs, physiological needs, daily stress, negative emotion, and depressive symptom scores ( P < 0.01). The analysis of variance showed that compared with the moderate and low job satisfaction groups, the high job satisfaction group had significantly higher reward, positive emotion, promotion opportunity, and role ambiguity scores ( P <0.01) , as well as significantly lower scores of responsibility for persons and responsibility for things ( P <0.01). Compared with the moderate and high job satisfaction groups the low job satisfaction group had significantly higher scores of psychological needs, effort, role conflict, sleep disorders, daily stress, depressive symptom, negative emotion, drug use, intragroup conflict, and social support ( P <0.01) , and the moderate job satisfaction group had a significantly higher score of self-esteem than the other two groups ( P <0.05). The logistic regression analysis showed that the risk of job dissatisfaction in the drivers with low so-cial support and high daily stress was more than 2 times that in those with high social support and low daily stress ( OR =2.176 and 2.171) , and sleep disorders, effort, depressive symptom, low self-esteem, and role conflict were risk factors for job dissatisfaction ( OR =1.48-1.625). Conclusion: Occupational stress, stress re-sponse, emotion, individual characteristics, and social support have great influence on job satisfaction. Im-proving social support, increasing positive emotion, and reducing occupational stress are main measures for increasing job satisfaction in train drivers.

Job strain in relation to body mass index: pooled analysis of 160 000 adults from 13 cohort studies.

PubMed

Nyberg, S T; Heikkilä, K; Fransson, E I; Alfredsson, L; De Bacquer, D; Bjorner, J B; Bonenfant, S; Borritz, M; Burr, H; Casini, A; Clays, E; Dragano, N; Erbel, R; Geuskens, G A; Goldberg, M; Hooftman, W E; Houtman, I L; Jöckel, K-H; Kittel, F; Knutsson, A; Koskenvuo, M; Leineweber, C; Lunau, T; Madsen, I E H; Hanson, L L Magnusson; Marmot, M G; Nielsen, M L; Nordin, M; Oksanen, T; Pentti, J; Rugulies, R; Siegrist, J; Suominen, S; Vahtera, J; Virtanen, M; Westerholm, P; Westerlund, H; Zins, M; Ferrie, J E; Theorell, T; Steptoe, A; Hamer, M; Singh-Manoux, A; Batty, G D; Kivimäki, M

2012-07-01

Evidence of an association between job strain and obesity is inconsistent, mostly limited to small-scale studies, and does not distinguish between categories of underweight or obesity subclasses. To examine the association between job strain and body mass index (BMI) in a large adult population. We performed a pooled cross-sectional analysis based on individual-level data from 13 European studies resulting in a total of 161 746 participants (49% men, mean age, 43.7 years). Longitudinal analysis with a median follow-up of 4 years was possible for four cohort studies (n = 42 222). A total of 86 429 participants were of normal weight (BMI 18.5-24.9 kg m(-2) ), 2149 were underweight (BMI < 18.5 kg m(-2) ), 56 572 overweight (BMI 25.0-29.9 kg m(-2) ) and 13 523 class I (BMI 30-34.9 kg m(-2) ) and 3073 classes II/III (BMI ≥ 35 kg m(-2) ) obese. In addition, 27 010 (17%) participants reported job strain. In cross-sectional analyses, we found increased odds of job strain amongst underweight [odds ratio 1.12, 95% confidence interval (CI) 1.00-1.25], obese class I (odds ratio 1.07, 95% CI 1.02-1.12) and obese classes II/III participants (odds ratio 1.14, 95% CI 1.01-1.28) as compared with participants of normal weight. In longitudinal analysis, both weight gain and weight loss were related to the onset of job strain during follow-up. In an analysis of European data, we found both weight gain and weight loss to be associated with the onset of job strain, consistent with a 'U'-shaped cross-sectional association between job strain and BMI. These associations were relatively modest; therefore, it is unlikely that intervention to reduce job strain would be effective in combating obesity at a population level. © 2011 The Association for the Publication of the Journal of Internal Medicine.

[Predictors of Turnover among New Nurses using Multilevel Survival Analysis].

PubMed

Kim, Suhee; Lee, Kyongeun

2016-10-01

The purpose of this study was to examine factors influencing new graduate nurse turnover. This study was carried out as a secondary analysis of data from the 2010 Graduates Occupational Mobility Survey (GOMS). A total of 323 nurses were selected for analysis concerning reasons for turnover. Data were analyzed using descriptive statistics and multilevel survival analysis. About 24.5% of new nurses left their first job within 1 year of starting their jobs. Significant predictors of turnover among new nurse were job status, monthly income, job satisfaction, the number of hospitals in region, and the number of nurses per 100 beds. New graduate nurses are vulnerable to turnover. In order to achieve the best health of the nation, policy approaches and further studies regarding reducing new graduate nurse turnover are needed.

The importance of job training to job satisfaction of older workers.

PubMed

Leppel, Karen; Brucker, Eric; Cochran, Jeremy

2012-01-01

If job training has positive impacts on worker satisfaction, then job training can have desirable consequences for an organization that result both directly through its effects on productivity and indirectly through its effects on job satisfaction. Furthermore, the aging of the workforce implies that older workers will become increasingly important to firms and to the economy. This study, therefore, seeks to examine the relationship between job training and job satisfaction, focusing in particular on U.S. workers born in 1964 or earlier. The results of ordered logit regression analysis indicate that availability and quality of training received directly affect job satisfaction.

PuffinPlot: A versatile, user-friendly program for paleomagnetic analysis

NASA Astrophysics Data System (ADS)

Lurcock, P. C.; Wilson, G. S.

2012-06-01

PuffinPlot is a user-friendly desktop application for analysis of paleomagnetic data, offering a unique combination of features. It runs on several operating systems, including Windows, Mac OS X, and Linux; supports both discrete and long core data; and facilitates analysis of very weakly magnetic samples. As well as interactive graphical operation, PuffinPlot offers batch analysis for large volumes of data, and a Python scripting interface for programmatic control of its features. Available data displays include demagnetization/intensity, Zijderveld, equal-area (for sample, site, and suite level demagnetization data, and for magnetic susceptibility anisotropy data), a demagnetization data table, and a natural remanent magnetization intensity histogram. Analysis types include principal component analysis, Fisherian statistics, and great-circle path intersections. The results of calculations can be exported as CSV (comma-separated value) files; graphs can be printed, and can also be saved as publication-quality vector files in SVG or PDF format. PuffinPlot is free, and the program, user manual, and fully documented source code may be downloaded from http://code.google.com/p/puffinplot/.

Estimating job runtime for CMS analysis jobs

NASA Astrophysics Data System (ADS)

Sfiligoi, I.

2014-06-01

The basic premise of pilot systems is to create an overlay scheduling system on top of leased resources. And by definition, leases have a limited lifetime, so any job that is scheduled on such resources must finish before the lease is over, or it will be killed and all the computation is wasted. In order to effectively schedule jobs to resources, the pilot system thus requires the expected runtime of the users' jobs. Past studies have shown that relying on user provided estimates is not a valid strategy, so the system should try to make an estimate by itself. This paper provides a study of the historical data obtained from the Compact Muon Solenoid (CMS) experiment's Analysis Operations submission system. Clear patterns are observed, suggesting that making prediction of an expected job lifetime range is achievable with high confidence level in this environment.

From fuzzy recurrence plots to scalable recurrence networks of time series

NASA Astrophysics Data System (ADS)

Pham, Tuan D.

2017-04-01

Recurrence networks, which are derived from recurrence plots of nonlinear time series, enable the extraction of hidden features of complex dynamical systems. Because fuzzy recurrence plots are represented as grayscale images, this paper presents a variety of texture features that can be extracted from fuzzy recurrence plots. Based on the notion of fuzzy recurrence plots, defuzzified, undirected, and unweighted recurrence networks are introduced. Network measures can be computed for defuzzified recurrence networks that are scalable to meet the demand for the network-based analysis of big data.

An analysis of the effects of personal background and work setting variables upon selected job characteristics of physician assistants.

PubMed

Perry, H B

1980-01-01

This study describes the effects of personal background and work setting variables upon the job characteristics of a national sample of 939 physician assistants. These data were obtained from a 1974 survey of members of the physician assistant profession and were assessed by means of path analysis. The analysis yielded the following major findings: (1) job characteristics became more favorable with increasing experience as a physician assistant, (2) employment in primary care fields resulted in job characteristics at least as favorable as those found in employment in other specialties, (3) military physician assistants reported greater patient care responsibility but lower levels of occupational prestige and career opportunities, and (4) women physician assistants earned less (even after controlling for number of hours worked) and knew of fewer available alternative job opportunities than their male colleagues.

Impact of job insecurity on sexual desire: an exploratory analysis.

PubMed

Domenighetti, Gianfranco; Tomada, Angelo; Marazzi, Alfio; Abazi, Ornela; Quaglia, Jacqueline

2009-08-22

To explore, for the first time, the impact of job insecurity on sexual desire. Cross-sectional analysis of a nationally representative sample of 7247 individuals aged 20-64 years working as full or part-time employees in Switzerland. The logistic regression analysis showed that workers aged 20-49 years perceiving high levels of job insecurity are exposed to a significantly higher risk of decrease of sexual desire compared to the reference group. The risk is 53% higher among men (OR 1.53; 95% CI 1.16-2.01) and 47% for woman (OR 1.47; 1.13-1.91). No increased risk was found for employees aged 50-64 years old. An increasing fear of job loss is associated with a deterioration in sexual desire. These first preliminary findings should promote further epidemiological and clinical prospective studies on the impact of job insecurity on intimate relationships and sexual dysfunction.

Work Engagement: Investigating the Role of Transformational Leadership, Job Resources, and Recovery.

PubMed

Hawkes, Amy J; Biggs, Amanda; Hegerty, Erin

2017-08-18

While the relationship between job resources and engagement has been well established, a greater understanding of the upstream factors that shape job resources is required to develop strategies to promote work engagement. The current study addresses this need by exploring transformational leadership as an upstream job resource, and the moderating role of recovery experiences. It was hypothesized that job resources would mediate the relationship between transformational leadership and engagement. Recovery experiences were expected to moderate the relationship between resources and engagement. A sample of 277 employees from a variety of organizations and industries was obtained. Analysis showed direct relationships between: transformational leadership and engagement, and transformational leadership and job resources. Mediation analysis using bootstrapping found a significant indirect path between transformational leadership and engagement via job resources. Recovery experiences did not significantly moderate the relationship between job resources and engagement. To date, the majority of published literature on recovery has focused on job demands; hence the nonsignificant result offers insight of a potentially more complex relationship for recovery with resources and engagement. Overall, the current study extends the JD-R model and provides evidence for broadening the model to include upstream organizational variables such as transformational leadership.

Situational leadership styles, staff nurse job characteristics related to job satisfaction and organizational commitment of head nurses working in hospitals under the jurisdiction of the Royal Thai Army.

PubMed

Intaraprasong, Bhusita; Potjanasitt, Sureporn; Pattaraarchachai, Junya; Meennuch, Chavalit

2012-06-01

To analyze the relationships between the situational leadership styles, staff nurse job characteristic with job satisfaction and organizational commitment of head nurses working in hospitals under the jurisdiction of the Royal Thai Army The cross-sectional analytical study was conducted in 128 head nurses working in hospitals under the jurisdiction of the Royal Thai Army. Data were collected by mailed questionnaires. A total of 117 completed questionnaires (91.4%) were received for analysis. Statistical analysis was done using Pearson's Product Moment Correlation Coefficient. It was found that situational leadership styles were not correlated with job satisfaction and organizational commitment of head nurses. Staff nurse job characteristics had a low level of positive correlation with job satisfaction and organizational commitment of head nurses at 0.05 level of significance (r = 0.202 and 0.189 respectively). The hospital administrators should formulate policy to improve working system, human resource management and formulate policies and strategies based on situational leadership. In addition, they should improve the characteristics of staff nurse job by using surveys to obtain job satisfaction and organizational commitment.

Investigating the relationship between jobs-housing balance and traffic safety.

PubMed

Xu, Chengcheng; Li, Haojie; Zhao, Jingya; Chen, Jun; Wang, Wei

2017-10-01

This study aimed to investigate the effects of jobs-housing balance on traffic safety. The crash, demographic characteristics, employment, road network, household characteristics and traffic data were collected from the Los Angeles in 2010. One-way ANOVA tests indicated that the jobs-housing ratio significantly affects traffic safety in terms of crash frequency at traffic analysis zone (TAZ). To quantify the safety impacts of jobs-housing balance, the semi-parametric geographically weighted Poisson regression (S-GWPR) was further used to link crash frequency at TAZ with jobs-housing ratio and other contributing factors. The S-GWPR provides better fitness to the data than do the generalized linear regression, as the S-GWPR accounts for the spatial heterogeneity. The S-GWPR results showed that the jobs-housing relationship has a significant association with crash frequency at TAZ when the factors of traffic, network, and household characteristics are controlled. Crash frequency at TAZ level increases with an increase in the jobs-housing ratio. To further investigate the interactive effects between jobs-housing ratio and other factors, a comparative analysis was conducted to compare the variable elasticities under different jobs-housing ratios. The results indicate considerable interactive effects that traffic conditions and road network characteristics have different effects on crash frequency under various jobs-housing ratios. Copyright © 2017 Elsevier Ltd. All rights reserved.

Job Satisfaction among Health-Care Staff in Township Health Centers in Rural China: Results from a Latent Class Analysis.

PubMed

Wang, Haipeng; Tang, Chengxiang; Zhao, Shichao; Meng, Qingyue; Liu, Xiaoyun

2017-09-22

Background : The lower job satisfaction of health-care staff will lead to more brain drain, worse work performance, and poorer health-care outcomes. The aim of this study was to identify patterns of job satisfaction among health-care staff in rural China, and to investigate the association between the latent clusters and health-care staff's personal and professional features; Methods : We selected 12 items of five-point Likert scale questions to measure job satisfaction. A latent-class analysis was performed to identify subgroups based on the items of job satisfaction; Results : Four latent classes of job satisfaction were identified: 8.9% had high job satisfaction, belonging to "satisfied class"; 38.2% had low job satisfaction, named as "unsatisfied class"; 30.5% were categorized into "unsatisfied class with the exception of interpersonal relationships"; 22.4% were identified as "pseudo-satisfied class", only satisfied with management-oriented items. Low job satisfaction was associated with specialty, training opportunity, and income inequality. Conclusions : The minority of health-care staff belong to the "satisfied class". Three among four subgroups are not satisfied with income, benefit, training, and career development. Targeting policy interventions should be implemented to improve the items of job satisfaction based on the patterns and health-care staff's features.

Does aging make employees more resilient to job stress? Age as a moderator in the job stressor-well-being relationship in three Finnish occupational samples.

PubMed

Mauno, Saija; Ruokolainen, Mervi; Kinnunen, Ulla

2013-01-01

This study examined whether an employee's age moderates the relationships between job stressors (i.e. job insecurity, workload, work-family conflict) and self-rated well-being (i.e. work-family enrichment, life satisfaction, job satisfaction, vigor at work). Analysis of covariance and moderated hierarchical regression analysis were used to examine the cross-sectional Finnish data collected among service sector employees (N = 1037), nurses (N = 1719), and academic employees (N = 945). In a situation of high job insecurity, the younger nurses reported higher work-family enrichment, job satisfaction, and vigor compared to their older colleagues. A similar result was also found among the service sector workers in relation to vigor at work. Thus, young age buffered against negative outcomes related to job insecurity. Moreover, older age buffered against the negative effect of high workload on job satisfaction among the service sector and against high work-family conflict on life satisfaction among the academic employees. More attention should be paid to the ability of younger employees to manage problems related to work-family imbalance and high workload, and to older employees' ability to cope with job insecurity. The findings of this study recommend different stress management interventions for older and younger employees.

Job-Oriented Basic Skills (JOBS) Program for the Acoustic Sensor Operations Strand.

ERIC Educational Resources Information Center

U'Ren, Paula Kabance; Baker, Meryl S.

An effort was undertaken to develop a job-oriented basic skills curriculum appropriate for the acoustic sensor operations area, which includes members of four ratings: ocean systems technician, aviation antisubmarine warfare operator, sonar technician (surface), and sonar technician (submarine). Analysis of the job duties of the four ratings…

The Questionable Impact of Gender on Job Loss Reactions: Implications for Employment Counseling

ERIC Educational Resources Information Center

Wooten, Kevin C.; Valenti, Alix M.

2008-01-01

A heterogeneous sample of 301 men and 118 women who experienced job loss was surveyed on 4 affective and 14 attributional variables. Analysis revealed that approximately 90% of the reported gender differences involving job loss reactions disappeared when age, ethnic background, marital status, education, tenure, salary, job classification, and…

Job strain and risk of obesity: systematic review and meta-analysis of cohort studies.

PubMed

Kivimäki, M; Singh-Manoux, A; Nyberg, S; Jokela, M; Virtanen, M

2015-11-01

Job strain, the most widely used indicator of work stress, is a risk factor for obesity-related disorders such as cardiovascular disease and type 2 diabetes. However, the extent to which job strain is related to the development of obesity itself has not been systematically evaluated. We carried out a systematic review (PubMed and Embase until May 2014) and meta-analysis of cohort studies to address this issue. Eight studies that fulfilled inclusion criteria showed no overall association between job strain and the risk of weight gain (pooled odds ratio for job strain compared with no job strain 1.04, 95% confidence interval (CI) 0.99-1.09, NTotal=18 240) or becoming obese (1.00, 95% CI 0.89-1.13, NTotal=42 222). In addition, a reduction in job strain over time was not associated with lower obesity risk (1.13, 95% CI 0.90-1.41, NTotal=6507). These longitudinal findings do not support the hypothesis that job strain is an important risk factor for obesity or a promising target for obesity prevention.

Age and reemployment success after job loss: An integrative model and meta-analysis.

PubMed

Wanberg, Connie R; Kanfer, Ruth; Hamann, Darla J; Zhang, Zhen

2016-04-01

Despite widespread popular concern about what it means to be over 40 and unemployed, little attention has been paid in the literature to clarifying the role of age within the job seeking experience. Extending theory, we propose mechanisms by which chronological age affects job search and reemployment outcomes after job loss. Through a meta-analysis and examination of 2 supplemental datasets, we examine 5 questions: (a) How strong is the relationship between age and reemployment speed? (b) Does age disadvantage individuals with respect to other reemployment outcomes? (c) Is the relationship between age and reemployment outcomes mediated by job search activities? (d) Are these relationships generalizable? and (e) Are these relationships linear or curvilinear? Our findings provide evidence for a negative relationship between age and reemployment status and speed across job search decade, world region, and unemployment rate, with the strength of the negative relationship becoming stronger over age 50. Job search self-efficacy and job search intensity partially mediate the relationship between age and both reemployment status and speed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Job satisfaction of nurses and identifying factors of job satisfaction in Slovenian Hospitals

PubMed Central

Lorber, Mateja; Skela Savič, Brigita

2012-01-01

Aim To determine the level of job satisfaction of nursing professionals in Slovenian hospitals and factors influencing job satisfaction in nursing. Methods The study included 4 hospitals selected from the hospital list comprising 26 hospitals in Slovenia. The employees of these hospitals represent 29.8% and 509 employees included in the study represent 6% of all employees in nursing in Slovenian hospitals. One structured survey questionnaire was administered to the leaders and the other to employees, both consisting 154 items evaluated on a 5 point Likert-type scale. We examined the correlation between independent variables (age, number of years of employment, behavior of leaders, personal characteristics of leaders, and managerial competencies of leaders) and the dependent variable (job satisfaction – satisfaction with the work, coworkers, management, pay, etc) by applying correlation analysis and multivariate regression analysis. In addition, factor analysis was used to establish characteristic components of the variables measured. Results We found a medium level of job satisfaction in both leaders (3.49 ± 0.5) and employees (3.19 ± 0.6), however, there was a significant difference between their estimates (t = 3.237; P = <0.001). Job satisfaction was explained by age (P < 0.05; β = 0.091), years of employment (P < 0.05; β = 0.193), personal characteristics of leaders (P < 0.001; β = 0.158), and managerial competencies of leaders (P < 0.000; β = 0.634) in 46% of cases. The factor analysis yielded four factors explaining 64% of the total job satisfaction variance. Conclusion Satisfied employees play a crucial role in an organization’s success, so health care organizations must be aware of the importance of employees’ job satisfaction. It is recommended to monitor employees’ job satisfaction levels on an annual basis. PMID:22661140

Trends in employer postings for epidemiology jobs: an analysis of PublicHealthJobs.net data from 2003 to 2016.

PubMed

Frankenfeld, Cara L

2017-09-01

To analyze public health job posting data to help objectively inform epidemiology faculty and students about skills sought by employers. Raw data from PublicHealthJobs.net database (January 2003-October 2016) was data-mined and analyzed (n = 25,308 job postings). There were 3985 jobs that were classified with an epidemiology designation, either as the only designation or co-occurring with another designation. Frequencies and percentages were calculated for job type, industry, location, degree requirements, CPH credential, and specialized skills. The majority of recent postings (January 2014-October 2016) were for full-time positions (60.8%). The highest proportion of recent job industries was education/academic/research (44.3%), state government (17.5%), and nonprofit/NGO (16.3%). A masters-level degree was listed in 71.4% of postings, frequently co-occurring with other degree levels. Epidemiology as the only job class was listed in 1765 postings (45.3%). Most characteristics of epidemiology job postings did not appreciably change over the time period, but there were some specialized skill differences. This analysis illustrates how employment sites can be used to identify employer preferences in epidemiology hires. There may be some skills that are beneficial additions to public health curricula or that job-seeking future epidemiologists may wish to enhance during their training. Copyright © 2017 Elsevier Inc. All rights reserved.

Can job redesign interventions influence a broad range of employee outcomes by changing multiple job characteristics? A quasi-experimental study.

PubMed

Holman, David; Axtell, Carolyn

2016-07-01

Many job redesign interventions are based on a multiple mediator-multiple outcome model in which the job redesign intervention indirectly influences a broad range of employee outcomes by changing multiple job characteristics. As this model remains untested, the aim of this study is to test a multiple mediator-multiple outcome model of job redesign. Multilevel analysis of data from a quasi-experimental job redesign intervention in a call center confirmed the hypothesized model and showed that the job redesign intervention affected a broad range of employee outcomes (i.e., employee well-being, psychological contract fulfillment, and supervisor-rated job performance) through changes in 2 job characteristics (i.e., job control and feedback). The results provide further evidence for the efficacy and mechanisms of job redesign interventions. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Are peer specialists happy on the job?

PubMed

Jenkins, Sarah; Chenneville, Tiffany; Salnaitis, Christina

2018-03-01

This study was designed to examine the impact of role clarity and job training on job satisfaction among peer specialists. A 3-part survey assessing job training, job satisfaction, and role clarity was administered online to 195 peer specialists who are members of the International Association of Peer Specialists. Data was analyzed using descriptive statistics, correlational analyses to include multiple linear regressions and analysis of variance. Self-study and online training methods were negatively correlated with job satisfaction while job shadowing was positively correlated with job satisfaction. Role clarity was positively correlated with job satisfaction and job training satisfaction as well as job shadowing and one-on-one training. The use of self-study and online training for peer specialists is contraindicated by current findings, which suggest the need to utilize job shadowing or training methods that allow for personal interaction between peer specialists and their colleagues. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots.

PubMed

Hirata, Yoshito; Oda, Arisa; Ohta, Kunihiro; Aihara, Kazuyuki

2016-10-11

Single-cell analysis of the three-dimensional (3D) chromosome structure can reveal cell-to-cell variability in genome activities. Here, we propose to apply recurrence plots, a mathematical method of nonlinear time series analysis, to reconstruct the 3D chromosome structure of a single cell based on information of chromosomal contacts from genome-wide chromosome conformation capture (Hi-C) data. This recurrence plot-based reconstruction (RPR) method enables rapid reconstruction of a unique structure in single cells, even from incomplete Hi-C information.

Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots

NASA Astrophysics Data System (ADS)

Hirata, Yoshito; Oda, Arisa; Ohta, Kunihiro; Aihara, Kazuyuki

2016-10-01

Single-cell analysis of the three-dimensional (3D) chromosome structure can reveal cell-to-cell variability in genome activities. Here, we propose to apply recurrence plots, a mathematical method of nonlinear time series analysis, to reconstruct the 3D chromosome structure of a single cell based on information of chromosomal contacts from genome-wide chromosome conformation capture (Hi-C) data. This recurrence plot-based reconstruction (RPR) method enables rapid reconstruction of a unique structure in single cells, even from incomplete Hi-C information.

Job Demand and Job Resources related to the turnover intention of public health nurses: An analysis using a Job Demands-Resources model.

PubMed

Iguchi, Aya

2016-01-01

Objectives The purpose of this study was to investigate the job demands and job resources of public health nurses based on the Job Demands-Resources (JD-R) model, and to build a model that can estimate turnover intention based on job demands and job resources.Method By adding 12 items to the existing questionnaire, the author created a questionnaire consisting of 10 factors and 167 items, and used statistical analysis to examine job demands and job resources in relation to turnover intention.Results Out of 2,668 questionnaires sent, 1993 (72.5%) were returned. Considering sex-based differences in occupational stress, I analyzed women's answers in 1766 (66.2%) mails among the 1798 valid responses. The average age of respondents was 41.0±9.8 years, and the mean service duration was 17.0±10.0 years. For public health nurses, there was a turnover intention of 9.2%. The "job demands" section consisted of 29 items and 10 factors, while the "job resources" section consisted of 54 items and 22 factors. The result of examining the structure of job demands and job resources, leading to turnover intention was supported by the JD-R model. Turnover intention was strong and the Mental Component Summary (MCS) is low in those who had many job demands and few job resources (experiencing 'burn-out'). Enhancement of work engagement and turnover intention was weak in those who had many job resources. This explained approximately 60% of the dispersion to "burn-out", and approximately 40% to "work engagement", with four factors: work suitability, work significance, positive work self-balance, and growth opportunity of job resources.Conclusion This study revealed that turnover intention is strong in those who are burned out because of many job demands. Enhancement of work engagement and turnover intention is weak in those with many job resources. This suggests that suitable staffing and organized efforts to raise awareness of job significance are effective in reducing turnover intention.

Measurement of attitudes of U.K. dental practitioners to core job constructs.

PubMed

Harris, R V; Ashcroft, A; Burnside, G; Dancer, J M; Smith, D; Grieveson, B

2009-03-01

To develop a measure to identify dental practitioner attitudes towards core job dimensions relating to job satisfaction and motivation and to test this against practice characteristics and provider attributes of U.K. practitioners. an 83-item questionnaire was developed from open-ended interviews with practitioners and use of items in previously used dentist job satisfaction questionnaires. This was subsequently sent to 684 practitioners. Item analysis reduced the item pool to 40 items and factor analysis (PCA) was undertaken. 440 (64%) dentists responded. Factor analysis resulted in six factors being identified as distinguishable job dimensions, overall Cronbach's alpha = 0.88. The factors were: 'restriction in being able to provide quality care (F1)', 'respect from being a dentist (F2)', 'control of work (F3)', 'running a practice (F4)', 'clinical skills (F5)', and 'caring for patients (F6)'. All six factors were correlated with a global job satisfaction score, although F1 was most strongly related (r = 0.60). Regression model analysis revealed that 'whether the dentist worked within the National Health Service or wholly or partly in the private sector' (p < 0.001), 'time since qualification' (p = 0.009), and the position of the dentist within the practice (whether a practice owner or associate dentist), (p = 0.047) were predictive of this factor. Six core job constructs of U.K. practitioners have been identified, together with several practice characteristics and practitioner attributes which predict these factors. The study demonstrates the importance of refining measures of dentists' job satisfaction to take account of the culture and the system in which the practitioner works.

Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis.

PubMed

Virtanen, Marianna; Nyberg, Solja T; Batty, G David; Jokela, Markus; Heikkilä, Katriina; Fransson, Eleonor I; Alfredsson, Lars; Bjorner, Jakob B; Borritz, Marianne; Burr, Hermann; Casini, Annalisa; Clays, Els; De Bacquer, Dirk; Dragano, Nico; Elovainio, Marko; Erbel, Raimund; Ferrie, Jane E; Hamer, Mark; Jöckel, Karl-Heinz; Kittel, France; Knutsson, Anders; Koskenvuo, Markku; Koskinen, Aki; Lunau, Thorsten; Madsen, Ida E H; Nielsen, Martin L; Nordin, Maria; Oksanen, Tuula; Pahkin, Krista; Pejtersen, Jan H; Pentti, Jaana; Rugulies, Reiner; Salo, Paula; Shipley, Martin J; Siegrist, Johannes; Steptoe, Andrew; Suominen, Sakari B; Theorell, Töres; Toppinen-Tanner, Salla; Väänänen, Ari; Vahtera, Jussi; Westerholm, Peter J M; Westerlund, Hugo; Slopen, Natalie; Kawachi, Ichiro; Singh-Manoux, Archana; Kivimäki, Mika

2013-08-08

To determine the association between self reported job insecurity and incident coronary heart disease. A meta-analysis combining individual level data from a collaborative consortium and published studies identified by a systematic review. We obtained individual level data from 13 cohort studies participating in the Individual-Participant-Data Meta-analysis in Working Populations Consortium. Four published prospective cohort studies were identified by searches of Medline (to August 2012) and Embase databases (to October 2012), supplemented by manual searches. Prospective cohort studies that reported risk estimates for clinically verified incident coronary heart disease by the level of self reported job insecurity. Two independent reviewers extracted published data. Summary estimates of association were obtained using random effects models. The literature search yielded four cohort studies. Together with 13 cohort studies with individual participant data, the meta-analysis comprised up to 174,438 participants with a mean follow-up of 9.7 years and 1892 incident cases of coronary heart disease. Age adjusted relative risk of high versus low job insecurity was 1.32 (95% confidence interval 1.09 to 1.59). The relative risk of job insecurity adjusted for sociodemographic and risk factors was 1.19 (1.00 to 1.42). There was no evidence of significant differences in this association by sex, age (<50 v ≥ 50 years), national unemployment rate, welfare regime, or job insecurity measure. The modest association between perceived job insecurity and incident coronary heart disease is partly attributable to poorer socioeconomic circumstances and less favourable risk factor profiles among people with job insecurity.

Graphical Data Analysis on the Circle: Wrap-Around Time Series Plots for (Interrupted) Time Series Designs.

PubMed

Rodgers, Joseph Lee; Beasley, William Howard; Schuelke, Matthew

2014-01-01

Many data structures, particularly time series data, are naturally seasonal, cyclical, or otherwise circular. Past graphical methods for time series have focused on linear plots. In this article, we move graphical analysis onto the circle. We focus on 2 particular methods, one old and one new. Rose diagrams are circular histograms and can be produced in several different forms using the RRose software system. In addition, we propose, develop, illustrate, and provide software support for a new circular graphical method, called Wrap-Around Time Series Plots (WATS Plots), which is a graphical method useful to support time series analyses in general but in particular in relation to interrupted time series designs. We illustrate the use of WATS Plots with an interrupted time series design evaluating the effect of the Oklahoma City bombing on birthrates in Oklahoma County during the 10 years surrounding the bombing of the Murrah Building in Oklahoma City. We compare WATS Plots with linear time series representations and overlay them with smoothing and error bands. Each method is shown to have advantages in relation to the other; in our example, the WATS Plots more clearly show the existence and effect size of the fertility differential.

Developing a Psychometric Instrument to Measure Physical Education Teachers' Job Demands and Resources.

PubMed

Zhang, Tan; Chen, Ang

2017-01-01

Based on the job demands-resources model, the study developed and validated an instrument that measures physical education teachers' job demands-resources perception. Expert review established content validity with the average item rating of 3.6/5.0. Construct validity and reliability were determined with a teacher sample ( n = 397). Exploratory factor analysis established a five-dimension construct structure matching the theoretical construct deliberated in the literature. The composite reliability scores for the five dimensions range from .68 to .83. Validity coefficients (intraclass correlational coefficients) are .69 for job resources items and .82 for job demands items. Inter-scale correlational coefficients range from -.32 to .47. Confirmatory factor analysis confirmed the construct validity with high dimensional factor loadings (ranging from .47 to .84 for job resources scale and from .50 to .85 for job demands scale) and adequate model fit indexes (root mean square error of approximation = .06). The instrument provides a tool to measure physical education teachers' perception of their working environment.

Developing a Psychometric Instrument to Measure Physical Education Teachers’ Job Demands and Resources

PubMed Central

Zhang, Tan; Chen, Ang

2017-01-01

Based on the job demands–resources model, the study developed and validated an instrument that measures physical education teachers’ job demands–resources perception. Expert review established content validity with the average item rating of 3.6/5.0. Construct validity and reliability were determined with a teacher sample (n = 397). Exploratory factor analysis established a five-dimension construct structure matching the theoretical construct deliberated in the literature. The composite reliability scores for the five dimensions range from .68 to .83. Validity coefficients (intraclass correlational coefficients) are .69 for job resources items and .82 for job demands items. Inter-scale correlational coefficients range from −.32 to .47. Confirmatory factor analysis confirmed the construct validity with high dimensional factor loadings (ranging from .47 to .84 for job resources scale and from .50 to .85 for job demands scale) and adequate model fit indexes (root mean square error of approximation = .06). The instrument provides a tool to measure physical education teachers’ perception of their working environment. PMID:29200808

The Job Satisfaction of Finnish Nursing Staff: The Development of a Job Satisfaction Scale and Survey Results

PubMed Central

Kvist, Tarja; Mäntynen, Raija; Partanen, Pirjo; Turunen, Hannele; Miettinen, Merja; Vehviläinen-Julkunen, Katri

2012-01-01

This paper describes the development of the Kuopio University Hospital Job Satisfaction Scale (KUHJSS) and the results of the survey. The scale was developed through a systematic literature review, and its validity and reliability were assessed using several psychometric properties including expert evaluation (n = 5), a pilot survey (n = 172), and exploratory factor analysis. The final version of KUHJSS included 37 items. A large sample psychometric evaluation was made by nursing staff (n = 2708). The exploratory factor analysis revealed seven factors with modest internal consistency (0.64–0.92). The staff reported relatively high job satisfaction. The greatest satisfaction was derived from motivating factors associated with the work; the least, from the job's demands. Respondents who considered their working units to provide an excellent quality of care reported the highest job satisfaction in every subarea (P < .0001). The KUHJSS proved to be a reliable and valid tool for measuring job satisfaction in hospital care. PMID:23133750

Home Healthcare Nurses' Job Satisfaction Scale: refinement and psychometric testing.

PubMed

Ellenbecker, Carol H; Byleckie, James J

2005-10-01

This paper describes a study to further develop and test the psychometric properties of the Home Healthcare Nurses' Job Satisfaction Scale, including reliability and construct and criterion validity. Numerous scales have been developed to measure nurses' job satisfaction. Only one, the Home Healthcare Nurses' Job Satisfaction Scale, has been designed specifically to measure job satisfaction of home healthcare nurses. The Home Healthcare Nurses' Job Satisfaction Scale is based on a theoretical model that integrates the findings of empirical research related to job satisfaction. A convenience sample of 340 home healthcare nurses completed the Home Healthcare Nurses' Job Satisfaction Scale and the Mueller and McCloskey Satisfaction Scale, which was used to test criterion validity. Factor analysis was used for testing and refinement of the theory-based assignment of items to constructs. Reliability was assessed by Cronbach's alpha internal consistency reliability coefficients. The data were collected in 2003. Nine factors contributing to home healthcare nurses' job satisfaction emerged from the factor analysis and were strongly supported by the underlying theory. Factor loadings were all above 0.4. Cronbach's alpha coefficients for each of the nine subscales ranged from 0.64 to 0.83; the alpha for the global scale was 0.89. The correlations between the Home Healthcare Nurses' Job Satisfaction Scale and Mueller and McCloskey Satisfaction Scale was 0.79, indicating good criterion-related validity. The Home Healthcare Nurses' Job Satisfaction Scale has potential as a reliable and valid scale for measurement of job satisfaction of home healthcare nurses.

Job insecurity and health: A study of 16 European countries

PubMed Central

László, Krisztina D.; Pikhart, Hynek; Kopp, Mária S.; Bobak, Martin; Pajak, Andrzej; Malyutina, Sofia; Salavecz, Gyöngyvér; Marmot, Michael

2010-01-01

Although the number of insecure jobs has increased considerably over the recent decades, relatively little is known about the health consequences of job insecurity, their international pattern, and factors that may modify them. In this paper, we investigated the association between job insecurity and self-rated health, and whether the relationship differs by country or individual-level characteristics. Cross-sectional data from 3 population-based studies on job insecurity, self-rated health, demographic, socioeconomic, work-related and behavioural factors and lifetime chronic diseases in 23,245 working subjects aged 45–70 years from 16 European countries were analysed using logistic regression and meta-analysis. In fully adjusted models, job insecurity was significantly associated with an increased risk of poor health in the Czech Republic, Denmark, Germany, Greece, Hungary, Israel, the Netherlands, Poland and Russia, with odds ratios ranging between 1.3 and 2.0. Similar, but not significant, associations were observed in Austria, France, Italy, Spain and Switzerland. We found no effect of job insecurity in Belgium and Sweden. In the pooled data, the odds ratio of poor health by job insecurity was 1.39. The association between job insecurity and health did not differ significantly by age, sex, education, and marital status. Persons with insecure jobs were at an increased risk of poor health in most of the countries included in the analysis. Given these results and trends towards increasing frequency of insecure jobs, attention needs to be paid to the public health consequences of job insecurity. PMID:20060634

Arrests, Recent Life Circumstances, and Recurrent Job Loss for At-Risk Young Men: An Event-History Analysis

ERIC Educational Resources Information Center

Wiesner, Margit; Capaldi, Deborah M.; Kim, Hyoun K.

2010-01-01

This study used longitudinal data from 202 at-risk young men to examine effects of arrests, prior risk factors, and recent life circumstances on job loss across a 7-year period in early adulthood. Repeated failure-time continuous event-history analysis indicated that occurrence of job loss was primarily related to prior mental health problems,…

Attribute Ratings and Profiles of the Job Elements of the Position Analysis Questionnaire (PAQ).

ERIC Educational Resources Information Center

Marquardt, Lloyd D.; McCormick, Ernest J.

The primary purpose of this study was to obtain estimates of the human attribute requirements of the job elements of the Position Analysis Questionnaire (PAQ). A secondary purpose was to explore the reliability of job-related ratings as a function of the number of raters. A taxonomy of 76 human attributes was used and ratings of the relevance of…

[Job stress of nursing aides in Swiss nursing homes : Nonlinear canonical analysis].

PubMed

Ziegler, A; Bernet, M; Metzenthin, P; Conca, A; Hahn, S

2016-08-01

Due to demographic changes, the demand for care in nursing homes for the elderly and infirmed is growing. At the same time nursing staff shortages are also increasing. Nursing aides are the primary care providers and comprise the largest staff group in Swiss nursing homes. They are exposed to various forms of job stress, which threaten job retention. The aim of this study was to discover which features of the work situation and which personal characteristics of the nursing aides were related to the workload. Data from nursing aides in Swiss nursing homes were investigated through a secondary analysis of a national quantitative cross-sectional study, using descriptive statistics and a nonlinear canonical correlation analysis. A total of 1054 nursing aides were included in the secondary analysis, 94.6 % of whom were women between the ages of 42 and 61 years. The job stress most frequently mentioned in the descriptive analysis, almost 60 % of the participants referred to it, was staff shortage. The nonlinear canonical correlation analysis revealed that many job strains are caused by social and organizational issues. In particular, a lack of support from supervisors was associated with staff not feeling appreciated. These job strains correlated with a high level of responsibility, the feeling of being unable to work independently and a feeling of being exploited. These strains were predominant in the nursing aides between 32 and 51 years old who had part time jobs but workloads of 80-90 %. Middle-aged nursing aides who worked to 80-90 % are particularly at risk to resign from the position prematurely. Measures need to be mainly implemented in the social and organizational areas. It can be assumed that a targeted individual support, recognition and promotion of nursing aides may decrease the level of job strain.

Analysis of Cost Growth and Cost Composition in the Defense Aerospace Industry

DTIC Science & Technology

1988-09-01

Making. New York: Harcourt Brace Jovanovich, Inc., 1977. 16. Horngren , Charles T. Cost Accounting , A Managerial Emphasis. Englewood Cliffs NJ: Prentice...58 7. Scatter Plot of Cost /DL Hour Ratio, Data Set C ................ .................. 59 8. Scatter Plot of Cost /DL S Ratio, Data Set...C 62 9. Scatter Plot of Cost /DL S Ratio, Then-Year Dollars ................... .................... 63 10. Scatter Plot of OH/TC Ratio, Data Set C

Analysis of arson fire debris by low temperature dynamic headspace adsorption porous layer open tubular columns.

PubMed

Nichols, Jessica E; Harries, Megan E; Lovestead, Tara M; Bruno, Thomas J

2014-03-21

In this paper we present results of the application of PLOT-cryoadsorption (PLOT-cryo) to the analysis of ignitable liquids in fire debris. We tested ignitable liquids, broadly divided into fuels and solvents (although the majority of the results presented here were obtained with gasoline and diesel fuel) on three substrates: Douglas fir, oak plywood and Nylon carpet. We determined that PLOT-cryo allows the analyst to distinguish all of the ignitable liquids tested by use of a very rapid sampling protocol, and performs better (more recovered components, higher efficiency, lower elution solvent volumes) than a conventional purge and trap method. We also tested the effect of latency (the time period between applying the ignitable liquid and ignition), and we tested a variety of sampling times and a variety of PLOT capillary lengths. Reliable results can be obtained with sampling time periods as short as 3min, and on PLOT capillaries as short as 20cm. The variability of separate samples was also assessed, a study made possible by the high throughput nature of the PLOT-cryo method. We also determined that the method performs better than the conventional carbon strip method that is commonly used in fire debris analysis. Published by Elsevier B.V.

Dalitz plot analysis of the D+→K-π+π+ decay in the FOCUS experiment

NASA Astrophysics Data System (ADS)

Link, J. M.; Yager, P. M.; Anjos, J. C.; Bediaga, I.; Castromonte, C.; Machado, A. A.; Magnin, J.; Massafferri, A.; de Miranda, J. M.; Pepe, I. M.; Polycarpo, E.; Dos Reis, A. C.; Carrillo, S.; Casimiro, E.; Cuautle, E.; Sánchez-Hernández, A.; Uribe, C.; Vázquez, F.; Agostino, L.; Cinquini, L.; Cumalat, J. P.; Frisullo, V.; O'Reilly, B.; Segoni, I.; Stenson, K.; Butler, J. N.; Cheung, H. W. K.; Chiodini, G.; Gaines, I.; Garbincius, P. H.; Garren, L. A.; Gottschalk, E.; Kasper, P. H.; Kreymer, A. E.; Kutschke, R.; Wang, M.; Benussi, L.; Bianco, S.; Fabbri, F. L.; Zallo, A.; Reyes, M.; Cawlfield, C.; Kim, D. Y.; Rahimi, A.; Wiss, J.; Gardner, R.; Kryemadhi, A.; Chung, Y. S.; Kang, J. S.; Ko, B. R.; Kwak, J. W.; Lee, K. B.; Cho, K.; Park, H.; Alimonti, G.; Barberis, S.; Boschini, M.; Cerutti, A.; D'Angelo, P.; Dicorato, M.; Dini, P.; Edera, L.; Erba, S.; Inzani, P.; Leveraro, F.; Malvezzi, S.; Menasce, D.; Mezzadri, M.; Moroni, L.; Pedrini, D.; Pontoglio, C.; Prelz, F.; Rovere, M.; Sala, S.; Davenport, T. F.; Arena, V.; Boca, G.; Bonomi, G.; Gianini, G.; Liguori, G.; Lopes Pegna, D.; Merlo, M. M.; Pantea, D.; Ratti, S. P.; Riccardi, C.; Vitulo, P.; Göbel, C.; Otalora, J.; Hernandez, H.; Lopez, A. M.; Mendez, H.; Paris, A.; Quinones, J.; Ramirez, J. E.; Zhang, Y.; Wilson, J. R.; Handler, T.; Mitchell, R.; Engh, D.; Hosack, M.; Johns, W. E.; Luiggi, E.; Nehring, M.; Sheldon, P. D.; Vaandering, E. W.; Webster, M.; Sheaff, M.; Pennington, M. R.; Focus Collaboration

2007-09-01

Using data collected by the high-energy photoproduction experiment FOCUS at Fermilab we performed a Dalitz plot analysis of the Cabibbo favored decay D+ →K-π+π+. This study uses 53653 Dalitz-plot events with a signal fraction of ∼ 97%, and represents the highest statistics, most complete Dalitz plot analysis for this channel. Results are presented and discussed using two different formalisms. The first is a simple sum of Breit-Wigner functions with freely fitted masses and widths. It is the model traditionally adopted and serves as comparison with the already published analyses. The second uses a K-matrix approach for the dominant S-wave, in which the parameters are fixed by first fitting Kπ scattering data and continued to threshold by Chiral Perturbation Theory. We show that the Dalitz plot distribution for this decay is consistent with the assumption of two-body dominance of the final state interactions and the description of these interactions is in agreement with other data on the Kπ final state.

41 CFR 60-2.1 - Scope and application.

Code of Federal Regulations, 2010 CFR

2010-07-01

... employees are located, the organizational profile and job group analysis of the affirmative action program... program, the organizational profile and job group analysis of that program must be annotated to identify...

Quantitative chemical exchange saturation transfer (qCEST) MRI--RF spillover effect-corrected omega plot for simultaneous determination of labile proton fraction ratio and exchange rate.

PubMed

Sun, Phillip Zhe; Wang, Yu; Dai, ZhuoZhi; Xiao, Gang; Wu, Renhua

2014-01-01

Chemical exchange saturation transfer (CEST) MRI is sensitive to dilute proteins and peptides as well as microenvironmental properties. However, the complexity of the CEST MRI effect, which varies with the labile proton content, exchange rate and experimental conditions, underscores the need for developing quantitative CEST (qCEST) analysis. Towards this goal, it has been shown that omega plot is capable of quantifying paramagnetic CEST MRI. However, the use of the omega plot is somewhat limited for diamagnetic CEST (DIACEST) MRI because it is more susceptible to direct radio frequency (RF) saturation (spillover) owing to the relatively small chemical shift. Recently, it has been found that, for dilute DIACEST agents that undergo slow to intermediate chemical exchange, the spillover effect varies little with the labile proton ratio and exchange rate. Therefore, we postulated that the omega plot analysis can be improved if RF spillover effect could be estimated and taken into account. Specifically, simulation showed that both labile proton ratio and exchange rate derived using the spillover effect-corrected omega plot were in good agreement with simulated values. In addition, the modified omega plot was confirmed experimentally, and we showed that the derived labile proton ratio increased linearly with creatine concentration (p < 0.01), with little difference in their exchange rate (p = 0.32). In summary, our study extends the conventional omega plot for quantitative analysis of DIACEST MRI. Copyright © 2014 John Wiley & Sons, Ltd.

F-15 inlet/engine test techniques and distortion methodologies studies. Volume 2: Time variant data quality analysis plots

NASA Technical Reports Server (NTRS)

Stevens, C. H.; Spong, E. D.; Hammock, M. S.

1978-01-01

Time variant data quality analysis plots were used to determine if peak distortion data taken from a subscale inlet model can be used to predict peak distortion levels for a full scale flight test vehicle.

The Relationship between Social Capital in Hospitals and Physician Job Satisfaction

PubMed Central

Ommen, Oliver; Driller, Elke; Köhler, Thorsten; Kowalski, Christoph; Ernstmann, Nicole; Neumann, Melanie; Steffen, Petra; Pfaff, Holger

2009-01-01

Background Job satisfaction in the hospital is an important predictor for many significant management ratios. Acceptance in professional life or high workload are known as important predictors for job satisfaction. The influence of social capital in hospitals on job satisfaction within the health care system, however, remains to be determined. Thus, this article aimed at analysing the relationship between overall job satisfaction of physicians and social capital in hospitals. Methods The results of this study are based upon questionnaires sent by mail to 454 physicians working in the field of patient care in 4 different German hospitals in 2002. 277 clinicians responded to the poll, for a response rate of 61%. Analysis was performed using three linear regression models with physician overall job satisfaction as the dependent variable and age, gender, professional experience, workload, and social capital as independent variables. Results The first regression model explained nearly 9% of the variance of job satisfaction. Whereas job satisfaction increased slightly with age, gender and professional experience were not identified as significant factors to explain the variance. Setting up a second model with the addition of subjectively-perceived workload to the analysis, the explained variance increased to 18% and job satisfaction decreased significantly with increasing workload. The third model including social capital in hospital explained 36% of the variance with social capital, professional experience and workload as significant factors. Conclusion This analysis demonstrated that the social capital of an organisation, in addition to professional experience and workload, represents a significant predictor of overall job satisfaction of physicians working in the field of patient care. Trust, mutual understanding, shared aims, and ethical values are qualities of social capital that unify members of social networks and communities and enable them to act cooperatively. PMID:19445692

Perceived job insecurity, unemployment and depressive symptoms: a systematic review and meta-analysis of prospective observational studies.

PubMed

Kim, T J; von dem Knesebeck, O

2016-05-01

It was shown that both job insecurity and unemployment are strongly and consistently associated with depressive symptoms. It is, however, less clear whether perceived job insecurity and unemployment constitute a comparable risk for the onset of depressive symptoms. A meta-analysis was conducted to explore this issue. In December 2014, relevant records were identified through the databases MEDLINE, Embase and PsychINFO. Articles were included if they had been published in the last 10 years and contained a quantitative analysis on the prospective link between job insecurity and unemployment with depressive symptoms. In 20 cohort studies within 15 articles, job insecurity and unemployment were significantly related to a higher risk of depressive symptoms, with the odds ratio (OR) being modestly higher for job insecurity (1.29, 95% CI 1.06-1.57) than for unemployment (1.19, 95% CI 1.11-1.28). Sensitivity analyses revealed that the effects were strongest in studies that examined younger respondents (<40 years) and used an unadjusted statistical model. By considering the length of the observational period, it was shown that unemployment ORs were higher in shorter time lags (under 1 year), while ORs for job insecurity were increased in longer exposure-outcome intervals (3-4 years). Specifically for unemployment, ORs were highest in studies that did not control for potential health selection effects and that ascertained enduring unemployment. A statistically significant publication bias was found for studies on unemployment, but not for job insecurity. The analyses revealed that both perceived job insecurity and unemployment constitute significant risks of increased depressive symptoms in prospective observational studies. By comparing both stressors, job insecurity can pose a comparable (and even modestly increased) risk of subsequent depressive symptoms.

Evaluation of job satisfaction and working atmosphere of dental nurses in Germany.

PubMed

Goetz, Katja; Hasse, Philipp; Campbell, Stephen M; Berger, Sarah; Dörfer, Christof E; Hahn, Karolin; Szecsenyi, Joachim

2016-02-01

The purpose of the study was to assess the level of job satisfaction of dental nurses in ambulatory care and to explore the impact of aspects of working atmosphere on and their association with job satisfaction. This cross-sectional study was based on a job satisfaction survey. Data were collected from 612 dental nurses working in 106 dental care practices. Job satisfaction was measured with the 10-item Warr-Cook-Wall job satisfaction scale. Working atmosphere was measured with five items. Linear regression analyses were performed in which each item of the job satisfaction scale was handled as dependent variables. A stepwise linear regression analysis was performed with overall job satisfaction and the five items of working atmosphere, job satisfaction, and individual characteristics. The response rate was 88.3%. Dental nurses were satisfied with 'colleagues' and least satisfied with 'income.' Different aspects of job satisfaction were mostly associated with the following working atmosphere issues: 'responsibilities within the practice team are clear,' 'suggestions for improvement are taken seriously,' 'working atmosphere in the practice team is good,' and 'made easier to admit own mistakes.' Within the stepwise linear regression analysis, the aspect 'physical working condition' (β = 0.304) showed the highest association with overall job satisfaction. The total explained variance of the 14 associated variables was 0.722 with overall job satisfaction. Working atmosphere within this discrete sample of dental care practice seemed to be an important influence on reported working condition and job satisfaction for dental nurses. Because of the high association of job satisfaction with physical working condition, the importance of paying more attention to an ergonomic working position for dental nurses to ensure optimal quality of care is highlighted. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Weighted analysis methods for mapped plot forest inventory data: Tables, regressions, maps and graphs

Treesearch

Paul C. Van Deusen; Linda S. Heath

2010-01-01

Weighted estimation methods for analysis of mapped plot forest inventory data are discussed. The appropriate weighting scheme can vary depending on the type of analysis and graphical display. Both statistical issues and user expectations need to be considered in these methods. A weighting scheme is proposed that balances statistical considerations and the logical...

Can Job Control Ameliorate Work-family Conflict and Enhance Job Satisfaction among Chinese Registered Nurses? A Mediation Model.

PubMed

Ding, Xiaotong; Yang, Yajuan; Su, Dan; Zhang, Ting; Li, Lunlan; Li, Huiping

2018-04-01

Low job satisfaction is the most common cause of nurses' turnover and influences the quality of nursing service. Moreover, we have no idea regarding whether job control, as an individual factor, can play a role in the relationship. To explore the relationship between work-family conflict and job satisfaction among Chinese registered nurses and the mediating role of job control in this relationship. From August 2015 to November 2016, 487 Chinese registered nurses completed a survey. The study used work-family conflict scale, job control scale, job satisfaction scale, as well as general information. Multiple regression analysis was used to explore the independent factors of job satisfaction. Structural equation model was used to explore the mediating role of job control. Work-family conflict was negatively correlated with job satisfaction (r ‑0.432, p<0.01). In addition, job control was positively related to job satisfaction (r 0.567, p<0.01). Work-family conflict and job control had significant predictive effects on job satisfaction. Job control partially mediated the relationship between work-family conflict and job satisfaction. Work-family conflict affected job satisfaction and job control was a mediator in this relationship among Chinese registered nurses. Job control could potentially improve nurses' job satisfaction.

10 CFR 712.36 - Medical assessment process.

Code of Federal Regulations, 2010 CFR

2010-01-01

... assigned duties. (b) Employers must provide a job task analysis for those individuals involved in HRP... performed if a job task analysis has not been provided. (c) The medical process by the Designated Physician...

Forget the Desk Job: Current Roles and Responsibilities in Entry-Level Reference Job Advertisements

ERIC Educational Resources Information Center

Detmering, Robert; Sproles, Claudene

2012-01-01

This study examines the evolving roles and responsibilities of entry-level academic reference positions, as stated in recent job advertisements posted on the American Library Association's JobLIST Web site and other sources. Findings from a content analysis of these advertisements indicate that current entry-level reference positions in academic…

The Knowledge, Experience, Skills, and Characteristics TESOL Employers Seek in Job Candidates

ERIC Educational Resources Information Center

Bailey, Caprice L.; Tanner, Mark W.; Henrichsen, Lynn E.; Dewey, Dan P.

2013-01-01

In a competitive marketplace, job candidates need to know what TESOL employers are seeking in new hires. A 12-month study of TESOL job announcements examined the types of work offered and the candidate knowledge, experience, skills, and personal characteristics TESOL employers were seeking in full-time hires. An analysis of 169 job advertisements…

Developing Measures of Job Performance for Support Staff in Housing Services for People with Intellectual Disabilities

ERIC Educational Resources Information Center

Hatton, Chris; Wigham, Sarah; Craig, Jaime

2009-01-01

Background: There is an absence of research concerning the assessment of housing support worker job performance, particularly in the development of job performance measures that reflect the priorities of people with intellectual disabilities and their families. Method: A worker-oriented job analysis method was used to develop four short job…

THE JOB DIMENSIONS OF ’WORKER ORIENTED’ JOB VARIABLES AND OF THEIR ATTRIBUTE PROFILES AS BASED ON DATA FROM THE POSITION ANALYSIS QUESTIONNAIRE.

DTIC Science & Technology

PAQ ). Two major data sources were developed and structured in terms of the behavioral job elements comprising the PAQ . One set of data consisted...of 536 jobs analyzed with the PAQ , while the second set of data consisted of the ratings of the relevance of 67 different human attributes to each of...the job activities and work situations described in the PAQ . Three different multivariate procedures were used to construct several sets of job

Free software helps map and display data

NASA Astrophysics Data System (ADS)

Wessel, Paul; Smith, Walter H. F.

When creating camera-ready figures, most scientists are familiar with the sequence of raw data → processing → final illustration and with the spending of large sums of money to finalize papers for submission to scientific journals, prepare proposals, and create overheads and slides for various presentations. This process can be tedious and is often done manually, since available commercial or in-house software usually can do only part of the job.To expedite this process, we introduce the Generic Mapping Tools (GMT), which is a free, public domain software package that can be used to manipulate columns of tabular data, time series, and gridded data sets and to display these data in a variety of forms ranging from simple x-y plots to maps and color, perspective, and shaded-relief illustrations. GMT uses the PostScript page description language, which can create arbitrarily complex images in gray tones or 24-bit true color by superimposing multiple plot files. Line drawings, bitmapped images, and text can be easily combined in one illustration. PostScript plot files are device-independent, meaning the same file can be printed at 300 dots per inch (dpi) on an ordinary laserwriter or at 2470 dpi on a phototypesetter when ultimate quality is needed. GMT software is written as a set of UNIX tools and is totally self contained and fully documented. The system is offered free of charge to federal agencies and nonprofit educational organizations worldwide and is distributed over the computer network Internet.

[Application of Stata software to test heterogeneity in meta-analysis method].

PubMed

Wang, Dan; Mou, Zhen-yun; Zhai, Jun-xia; Zong, Hong-xia; Zhao, Xiao-dong

2008-07-01

To introduce the application of Stata software to heterogeneity test in meta-analysis. A data set was set up according to the example in the study, and the corresponding commands of the methods in Stata 9 software were applied to test the example. The methods used were Q-test and I2 statistic attached to the fixed effect model forest plot, H statistic and Galbraith plot. The existence of the heterogeneity among studies could be detected by Q-test and H statistic and the degree of the heterogeneity could be detected by I2 statistic. The outliers which were the sources of the heterogeneity could be spotted from the Galbraith plot. Heterogeneity test in meta-analysis can be completed by the four methods in Stata software simply and quickly. H and I2 statistics are more robust, and the outliers of the heterogeneity can be clearly seen in the Galbraith plot among the four methods.

A Job Classification Scheme for Health Manpower

PubMed Central

Weiss, Jeffrey H.

1968-01-01

The Census Bureau's occupational classification scheme and concept of the “health services industry” are inadequate tools for analysis of the changing job structure of health manpower. In an attempt to remedy their inadequacies, a new analytical framework—drawing upon the work of James Scoville on the job content of the U.S. economy—was devised. The first stage in formulating this new framework was to determine which jobs should be considered health jobs. The overall health care job family was designed to encompass jobs in which the primary technical focus or function is oriented toward the provision of health services. There are two dimensions to the job classification scheme presented here. The first describes each job in terms of job content; relative income data and minimum education and training requirements were employed as surrogate measures. By this means, health care jobs were grouped by three levels of job content: high, medium, and low. The other dimension describes each job in terms of its technical focus or function; by this means, health care jobs were grouped into nine job families. PMID:5673666

Segmented Poincaré plot analysis for risk stratification in patients with dilated cardiomyopathy.

PubMed

Voss, A; Fischer, C; Schroeder, R; Figulla, H R; Goernig, M

2010-01-01

The prognostic value of heart rate variability in patients with dilated cardiomyopathy (DCM) is limited and does not contribute to risk stratification although the dynamics of ventricular repolarization differs considerably between DCM patients and healthy subjects. Neither linear nor nonlinear methods of heart rate variability analysis could discriminate between patients at high and low risk for sudden cardiac death. The aim of this study was to analyze the suitability of the new developed segmented Poincaré plot analysis (SPPA) to enhance risk stratification in DCM. In contrast to the usual applied Poincaré plot analysis the SPPA retains nonlinear features from investigated beat-to-beat interval time series. Main features of SPPA are the rotation of cloud of points and their succeeded variability depended segmentation. Significant row and column probabilities were calculated from the segments and led to discrimination (up to p<0.005) between low and high risk in DCM patients. For the first time an index from Poincaré plot analysis of heart rate variability was able to contribute to risk stratification in patients suffering from DCM.

Job boredom and its correlates in 87 Finnish organizations.

PubMed

Harju, Lotta; Hakanen, Jari J; Schaufeli, Wilmar B

2014-09-01

To investigate the correlates of job boredom in 87 Finnish workplaces (N = 11,468) and to examine the associations between job boredom, health outcomes, and job attitudes. We applied the Dutch Boredom Scale to measure job boredom. Hierarchical logistic regression analysis and odds ratio estimates were used for further examination of the variables. Male, under-36-year-old employees and employees working in transportation, manufacturing, arts, recreation, and entertainment experienced the most job boredom. Job boredom increased the likelihood of employees' turnover and early retirement intentions, poor self-rated health, poor workability, and stress symptoms. Job boredom is a phenomenon that concerns a wide range of industries. We found a clear association between job boredom and negative health- and work-related perceptions. The results support the notion that job boredom can be harmful to employee health.

Job evaluation for clinical nursing jobs by implementing the NHS JE system.

PubMed

Kahya, Emin; Oral, Nurten

2007-10-01

The purpose of this paper was to evaluate locally all the clinical nursing jobs implementing the NHS JE system in four hospitals. The NHS JE was developed by the Department of Health in the UK in 2003-2004. A job analysis questionnaire was designed to gather current job descriptions. It was distributed to each of 158 clinical nurses and supervisor nurses in 31 variety clinics at four hospitals in one city. The questionnaires were analysed to evaluate locally all the identified 94 nursing jobs. Fourteen of 19 nursing jobs in the medical and surgical clinics can be matched to the nurse national job in the NHS JE system. The results indicated that two new nursing jobs titled nurse B and nurse advanced B should be added to the list of national nursing jobs in the NHS JE system.

The Impact of Organizational Innovations in Nursing Homes on Staff Perceptions: A Secondary Data Analysis.

PubMed

Adams, Joost; Verbeek, Hilde; Zwakhalen, Sandra M G

2017-01-01

The shift in nursing home care for patients with dementia from traditional task-driven environments towards patient-centered small-scale environments has implications for nursing practice. Information about its implications for nursing staff is lacking, and only a few studies have addressed staff perceptions. We sought to explore staff perceptions of required skills and to determine differences in job satisfaction, motivation, and job characteristics of staff working in both care settings. A secondary data analysis was conducted. The data source used was drawn from a larger study testing the effects of small-scale living (Verbeek et al., 2009). Nursing staff working on a permanent basis and who were directly involved in care were eligible to participate in the study. Data on job satisfaction, motivation, and job characteristics of nursing staff working in typical small-scale and traditional care environments were derived using a questionnaire. Data were analyzed using descriptive statistics. Differences between nursing staff job satisfaction, motivation, and job characteristics were tested using multilinear regression analysis. In total, 138 staff members were included (81 staff members working in traditional nursing home wards and 57 staff members working in small-scale nursing home wards). The findings showed that in typical small-scale nursing homes, job satisfaction and job motivation were significantly higher compared to those in typical traditional nursing homes. Job autonomy and social support were also significantly higher, while job demands were significantly lower in these small-scale nursing homes. Social support was found to be the most significant predictor of job motivation and job satisfaction in both types of typical nursing homes. Nursing staff working in traditional care environments more often expressed the intention to switch to small-scale environments. Based on the findings of this study, it can be concluded that nursing homes environments differ substantially in experienced job satisfaction and job motivation. To enable a balanced work environment for nursing staff, a clear understanding of the relation between living environments and experienced job satisfaction among nursing staff is required. Since social support seems to be one of the key contributors to a supportive beneficial work climate, managers should focus on enabling this in daily nursing home care. © 2016 Sigma Theta Tau International.

Myth Structure and Media Fiction Plot: An Exploration.

ERIC Educational Resources Information Center

Harless, James D.

Based on the general research of Joseph Campbell in adventure plots from mythology, the author explores the simplified monomyth plots currently in frequent use in mass media programing. The close relationship of media fiction to mythic stories is established through the analysis of more than 25 stories resulting from media broadcasting. The media…

Precise FIA plot registration using field and dense LIDAR data

Treesearch

Demetrios Gatziolis

2009-01-01

Precise registration of forest inventory and analysis (FIA) plots is a prerequisite for an effective fusion of field data with ancillary spatial information, which is an approach commonly employed in the mapping of various forest parameters. Although the adoption of Global Positioning System technology has improved the precision of plot coordinates obtained during...

Comparison of Imputation Procedures for Replacing Denied-access Plots

Treesearch

Susan L. King

2005-01-01

In forest inventories, missing plots are caused by hazardous terrain, inaccessible locations, or denied access. Maryland had a large number of denied-access plots in the latest periodic inventory conducted by the Northeastern Forest Inventory and Analysis unit. The denial pattern, which can introduce error into the estimates, was investigated by dropping the 1999...

Refining FIA plot locations using LiDAR point clouds

Treesearch

Charlie Schrader-Patton; Greg C. Liknes; Demetrios Gatziolis; Brian M. Wing; Mark D. Nelson; Patrick D. Miles; Josh Bixby; Daniel G. Wendt; Dennis Kepler; Abbey Schaaf

2015-01-01

Forest Inventory and Analysis (FIA) plot location coordinate precision is often insufficient for use with high resolution remotely sensed data, thereby limiting the use of these plots for geospatial applications and reducing the validity of models that assume the locations are precise. A practical and efficient method is needed to improve coordinate precision. To...

National FIA plot intensification procedure report

Treesearch

Jock A. Blackard; Paul L. Patterson

2014-01-01

The Forest Inventory and Analysis (FIA) program of the U.S. Forest Service (USFS) measures a spatially distributed base grid of forest inventory plots across the United States. The sampling intensity of plots may be increased in some regions when warranted by specific inventory objectives. Several intensification methods have been developed within FIA and USFS National...

An investigation of condition mapping and plot proportion calculation issues

Treesearch

Demetrios Gatziolis

2007-01-01

A systematic examination of Forest Inventory and Analysis condition data collected under the annual inventory protocol in the Pacific Northwest region between 2000 and 2004 revealed the presence of errors both in condition topology and plot proportion computations. When plots were compiled to generate population estimates, proportion errors were found to cause...

Domestic Job Shortage or Job Maldistribution? A Geographic Analysis of the Current Radiation Oncology Job Market.

PubMed

Chowdhary, Mudit; Chhabra, Arpit M; Switchenko, Jeffrey M; Jhaveri, Jaymin; Sen, Neilayan; Patel, Pretesh R; Curran, Walter J; Abrams, Ross A; Patel, Kirtesh R; Marwaha, Gaurav

2017-09-01

To examine whether permanent radiation oncologist (RO) employment opportunities vary based on geography. A database of full-time RO jobs was created by use of American Society for Radiation Oncology (ASTRO) Career Center website posts between March 28, 2016, and March 31, 2017. Jobs were first classified by region based on US Census Bureau data. Jobs were further categorized as academic or nonacademic depending on the employer. The prevalence of job openings per 10 million population was calculated to account for regional population differences. The χ 2 test was implemented to compare position type across regions. The number and locations of graduating RO during our study period was calculated using National Resident Matching Program data. The χ 2 goodness-of-fit test was then used to compare a set of observed proportions of jobs with a corresponding set of hypothesized proportions of jobs based on the proportions of graduates per region. A total of 211 unique jobs were recorded. The highest and lowest percentages of jobs were seen in the South (31.8%) and Northeast (18.5%), respectively. Of the total jobs, 82 (38.9%) were academic; the South had the highest percentage of overall academic jobs (35.4%), while the West had the lowest (14.6%). Regionally, the Northeast had the highest percentage of academic jobs (56.4%), while the West had the lowest (26.7%). A statistically significant difference was noted between regional academic and nonacademic job availability (P=.021). After we accounted for unit population, the Midwest had the highest number of total jobs per 10 million (9.0) while the South had the lowest (5.9). A significant difference was also observed in the proportion of RO graduates versus actual jobs per region (P=.003), with a surplus of trainees seen in the Northeast. This study presents a quantitative analysis of the RO job market. We found a disproportionately small number of opportunities compared with graduates trained in the Northeast, as well as a significant regional imbalance of academic versus nonacademic jobs. Long-term monitoring is required to confirm these results. Copyright © 2017 Elsevier Inc. All rights reserved.

The Role of Recurrence Plots in Characterizing the Output-Unemployment Relationship: An Analysis

PubMed Central

Caraiani, Petre; Haven, Emmanuel

2013-01-01

We analyse the output-unemployment relationship using an approach based on cross-recurrence plots and quantitative recurrence analysis. We use post-war period quarterly U.S. data. The results obtained show the emergence of a complex and interesting relationship. PMID:23460814

An Introduction to Job Analysis

ERIC Educational Resources Information Center

Boydell, T. H.

1970-01-01

Job training involves preparing a job description and specification, and, if necessary, further analyses of skills, knowledge, and attitudes in order to identify areas of difficulty which will affect the choice of what must be learned and appropriate training techniques. (DM)

An analysis of the job of railroad train dispatcher.

DOT National Transportation Integrated Search

1974-04-01

This report constitutes a detailed study of the job of railroad train dispatcher, conducted to provide a data base for the derivation of criteria of job knowledge, skills and training consonant with safe operations. Documentation was reviewed; specia...

Rail industry job analysis : passenger conductor.

DOT National Transportation Integrated Search

2013-02-01

This document describes the results of a job analysis that was conducted for the position of railroad Passenger Conductor. Key aspects of the position were identified, including main tasks and knowledge, skills, abilities, and other characteristics (...

Rail industry job analysis : freight conductor.

DOT National Transportation Integrated Search

2013-03-01

This document describes the results from a job analysis that was conducted for the position of Freight Conductor. Key aspects of the position were identified, including main tasks and knowledge, skills, abilities, and other characteristics (KSAOs) ne...

Gender differences in psychological morbidity, burnout, job stress and job satisfaction among Chinese neurologists: a national cross-sectional study.

PubMed

Pu, Juncai; Zhou, Xinyu; Zhu, Dan; Zhong, Xiaoni; Yang, Lining; Wang, Haiyang; Zhang, Yuqing; Fan, Songhua; Liu, Lanxiang; Xie, Peng

2017-07-01

Women are an important part of the medical workforce, yet little is known about gender differences in psychological morbidity, burnout, job stress and job satisfaction among neurologists. This study assessed gender differences in a large national sample of Chinese neurologists. Multivariate analyses were performed to examine associations. A total of 5558 neurologists were included in the analysis. Compared with their male counterparts, female neurologists were generally younger; were less likely to be married or to have children; had higher levels of education; were in practice for a shorter period of time; were less likely to hold senior roles; and had lower incomes. Male and female neurologists worked similar hours and spent a similar number of nights on call. No gender differences were found in psychological morbidity, burnout, and high levels of job stress for female and male, respectively. Women had higher emotional exhaustion scores, while men were more likely to have low levels of job satisfaction. The multivariate analysis showed that factors independently associated with psychological morbidity, burnout, high levels of job stress and low levels of job satisfaction were generally similar for women and men. These findings increase our understanding of gender differences in psychological morbidity, burnout, job stress, and job satisfaction among neurologists. As more women join the medical profession, these differences may be useful in designing medical training and practice.

Job Satisfaction among Health-Care Staff in Township Health Centers in Rural China: Results from a Latent Class Analysis

PubMed Central

Wang, Haipeng; Tang, Chengxiang; Zhao, Shichao; Meng, Qingyue; Liu, Xiaoyun

2017-01-01

Background: The lower job satisfaction of health-care staff will lead to more brain drain, worse work performance, and poorer health-care outcomes. The aim of this study was to identify patterns of job satisfaction among health-care staff in rural China, and to investigate the association between the latent clusters and health-care staff’s personal and professional features; Methods: We selected 12 items of five-point Likert scale questions to measure job satisfaction. A latent-class analysis was performed to identify subgroups based on the items of job satisfaction; Results: Four latent classes of job satisfaction were identified: 8.9% had high job satisfaction, belonging to “satisfied class”; 38.2% had low job satisfaction, named as “unsatisfied class”; 30.5% were categorized into “unsatisfied class with the exception of interpersonal relationships”; 22.4% were identified as “pseudo-satisfied class”, only satisfied with management-oriented items. Low job satisfaction was associated with specialty, training opportunity, and income inequality. Conclusions: The minority of health-care staff belong to the “satisfied class”. Three among four subgroups are not satisfied with income, benefit, training, and career development. Targeting policy interventions should be implemented to improve the items of job satisfaction based on the patterns and health-care staff’s features. PMID:28937609

Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women.

PubMed

Nyberg, Solja T; Fransson, Eleonor I; Heikkilä, Katriina; Alfredsson, Lars; Casini, Annalisa; Clays, Els; De Bacquer, Dirk; Dragano, Nico; Erbel, Raimund; Ferrie, Jane E; Hamer, Mark; Jöckel, Karl-Heinz; Kittel, France; Knutsson, Anders; Ladwig, Karl-Heinz; Lunau, Thorsten; Marmot, Michael G; Nordin, Maria; Rugulies, Reiner; Siegrist, Johannes; Steptoe, Andrew; Westerholm, Peter J M; Westerlund, Hugo; Theorell, Töres; Brunner, Eric J; Singh-Manoux, Archana; Batty, G David; Kivimäki, Mika

2013-01-01

Job strain is associated with an increased coronary heart disease risk, but few large-scale studies have examined the relationship of this psychosocial characteristic with the biological risk factors that potentially mediate the job strain - heart disease association. We pooled cross-sectional, individual-level data from eight studies comprising 47,045 participants to investigate the association between job strain and the following cardiovascular disease risk factors: diabetes, blood pressure, pulse pressure, lipid fractions, smoking, alcohol consumption, physical inactivity, obesity, and overall cardiovascular disease risk as indexed by the Framingham Risk Score. In age-, sex-, and socioeconomic status-adjusted analyses, compared to those without job strain, people with job strain were more likely to have diabetes (odds ratio 1.29; 95% CI: 1.11-1.51), to smoke (1.14; 1.08-1.20), to be physically inactive (1.34; 1.26-1.41), and to be obese (1.12; 1.04-1.20). The association between job strain and elevated Framingham risk score (1.13; 1.03-1.25) was attributable to the higher prevalence of diabetes, smoking and physical inactivity among those reporting job strain. In this meta-analysis of work-related stress and cardiovascular disease risk factors, job strain was linked to adverse lifestyle and diabetes. No association was observed between job strain, clinic blood pressure or blood lipids.

Exploratory Study of Factors Influencing Job-Related Stress in Japanese Psychiatric Nurses

PubMed Central

Yada, Hironori; Lu, Xi; Omori, Hisamitsu; Abe, Hiroshi; Matsuo, Hisae; Ishida, Yasushi; Katoh, Takahiko

2015-01-01

This study explored the factor structure of psychiatric nurses' job-related stress and examined the specificity of the related stressors using the job stressor scale of the Brief Job Stress Questionnaire (BJSQ). The stressor scale of the BJSQ was administered to 296 nurses and assistant nurses. Answers were examined statistically. Exploratory factor analysis was performed to identify factor structures; two factors (overload and job environment) were valid. Confirmatory factor analysis was conducted to examine the two-factor structure and found 11 items with factor loadings of >0.40 (model 1), 13 items with factor loadings from 0.30 to <0.40 (model 2), and 17 items with factor loadings from 0.20 to <0.30 (model 3) for one factor; model 1 demonstrated the highest goodness of fit. Then, we observed that the two-factor structure (model 1) showed a higher goodness of fit than the original six-factor structure. This differed from subscales based on general workers' job-related stressors, suggesting that the factor structure of psychiatric nurses' job-related stressors is specific. Further steps may be necessary to reduce job-related stress specifically related to overload including attention to many needs of patients and job environment including complex ethical dilemmas in psychiatric nursing. PMID:25922763

Exploratory study of factors influencing job-related stress in Japanese psychiatric nurses.

PubMed

Yada, Hironori; Lu, Xi; Omori, Hisamitsu; Abe, Hiroshi; Matsuo, Hisae; Ishida, Yasushi; Katoh, Takahiko

2015-01-01

This study explored the factor structure of psychiatric nurses' job-related stress and examined the specificity of the related stressors using the job stressor scale of the Brief Job Stress Questionnaire (BJSQ). The stressor scale of the BJSQ was administered to 296 nurses and assistant nurses. Answers were examined statistically. Exploratory factor analysis was performed to identify factor structures; two factors (overload and job environment) were valid. Confirmatory factor analysis was conducted to examine the two-factor structure and found 11 items with factor loadings of >0.40 (model 1), 13 items with factor loadings from 0.30 to <0.40 (model 2), and 17 items with factor loadings from 0.20 to <0.30 (model 3) for one factor; model 1 demonstrated the highest goodness of fit. Then, we observed that the two-factor structure (model 1) showed a higher goodness of fit than the original six-factor structure. This differed from subscales based on general workers' job-related stressors, suggesting that the factor structure of psychiatric nurses' job-related stressors is specific. Further steps may be necessary to reduce job-related stress specifically related to overload including attention to many needs of patients and job environment including complex ethical dilemmas in psychiatric nursing.

Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis

PubMed Central

Nyberg, Solja T; Batty, G David; Jokela, Markus; Heikkilä, Katriina; Fransson, Eleonor I; Alfredsson, Lars; Bjorner, Jakob B; Borritz, Marianne; Burr, Hermann; Casini, Annalisa; Clays, Els; De Bacquer, Dirk; Dragano, Nico; Elovainio, Marko; Erbel, Raimund; Ferrie, Jane E; Hamer, Mark; Jöckel, Karl-Heinz; Kittel, France; Knutsson, Anders; Koskenvuo, Markku; Koskinen, Aki; Lunau, Thorsten; Madsen, Ida E H; Nielsen, Martin L; Nordin, Maria; Oksanen, Tuula; Pahkin, Krista; Pejtersen, Jan H; Pentti, Jaana; Rugulies, Reiner; Salo, Paula; Shipley, Martin J; Siegrist, Johannes; Steptoe, Andrew; Suominen, Sakari B; Theorell, Töres; Toppinen-Tanner, Salla; Väänänen, Ari; Vahtera, Jussi; Westerholm, Peter J M; Westerlund, Hugo; Slopen, Natalie; Kawachi, Ichiro; Singh-Manoux, Archana; Kivimäki, Mika

2013-01-01

Objective To determine the association between self reported job insecurity and incident coronary heart disease. Design A meta-analysis combining individual level data from a collaborative consortium and published studies identified by a systematic review. Data sources We obtained individual level data from 13 cohort studies participating in the Individual-Participant-Data Meta-analysis in Working Populations Consortium. Four published prospective cohort studies were identified by searches of Medline (to August 2012) and Embase databases (to October 2012), supplemented by manual searches. Review methods Prospective cohort studies that reported risk estimates for clinically verified incident coronary heart disease by the level of self reported job insecurity. Two independent reviewers extracted published data. Summary estimates of association were obtained using random effects models. Results The literature search yielded four cohort studies. Together with 13 cohort studies with individual participant data, the meta-analysis comprised up to 174 438 participants with a mean follow-up of 9.7 years and 1892 incident cases of coronary heart disease. Age adjusted relative risk of high versus low job insecurity was 1.32 (95% confidence interval 1.09 to 1.59). The relative risk of job insecurity adjusted for sociodemographic and risk factors was 1.19 (1.00 to 1.42). There was no evidence of significant differences in this association by sex, age (<50 v ≥50 years), national unemployment rate, welfare regime, or job insecurity measure. Conclusions The modest association between perceived job insecurity and incident coronary heart disease is partly attributable to poorer socioeconomic circumstances and less favourable risk factor profiles among people with job insecurity. PMID:23929894

Calibration of multivariate scatter plots for exploratory analysis of relations within and between sets of variables in genomic research.

PubMed

Graffelman, Jan; van Eeuwijk, Fred

2005-12-01

The scatter plot is a well known and easily applicable graphical tool to explore relationships between two quantitative variables. For the exploration of relations between multiple variables, generalisations of the scatter plot are useful. We present an overview of multivariate scatter plots focussing on the following situations. Firstly, we look at a scatter plot for portraying relations between quantitative variables within one data matrix. Secondly, we discuss a similar plot for the case of qualitative variables. Thirdly, we describe scatter plots for the relationships between two sets of variables where we focus on correlations. Finally, we treat plots of the relationships between multiple response and predictor variables, focussing on the matrix of regression coefficients. We will present both known and new results, where an important original contribution concerns a procedure for the inclusion of scales for the variables in multivariate scatter plots. We provide software for drawing such scales. We illustrate the construction and interpretation of the plots by means of examples on data collected in a genomic research program on taste in tomato.

Dental Laboratory Career Ladder (AFSC 4Y1X1)

DTIC Science & Technology

1994-08-01

analysis identified one job cluster and seven jobs: Base Dental Lab cluster, Orthodontic Appliance Fabricator job, Fixed Restoration Fabricator job, Crown...reline and repair, removable partial denture construction, crown and fixed partial denture construction, fabrication of orthodontic appliances, and...specialized prostheses. Preventive maintenance and safety precautions for dental laboratory equipment are also stressed . Entry into the career ladder

Economic Analysis of Job-Related Attributes in Undergraduate Students' Initial Job Selection

ERIC Educational Resources Information Center

Jin, Yanhong H.; Mjelde, James W.; Litzenberg, Kerry K.

2014-01-01

Economic tradeoffs students place on location, salary, distances to natural resource amenities, size of the city where the job is located, and commuting times for their first college graduate job are estimated using a mixed logit model for a sample of Texas A&M University students. The Midwest is the least preferred area having a mean salary…

The Relevance of Diversity in the Job Attribute Preferences of College Students

ERIC Educational Resources Information Center

Murphy, Angela J.; Collins, Jennifer M.

2015-01-01

The study explores the role of diversity in the underlying job attributes that college students use to evaluate careers and if there are differences in the individual job attributes based on the race, gender, and major of the participants. We use a factor analysis to explore the underlying factors associated with 16 job attributes. Findings reveal…

The Job Demands-Resources Model: An Analysis of Additive and Joint Effects of Demands and Resources

ERIC Educational Resources Information Center

Hu, Qiao; Schaufeli, Wilmar B.; Taris, Toon W.

2011-01-01

The present study investigated the additive, synergistic, and moderating effects of job demands and job resources on well-being (burnout and work engagement) and organizational outcomes, as specified by the Job Demands-Resources (JD-R) model. A survey was conducted among two Chinese samples: 625 blue collar workers and 761 health professionals. A…

Economics of Job Search: A Biracial Analysis of Job Search Behavior of Urban Male Youth Ages 18-22.

ERIC Educational Resources Information Center

Stephenson, Stanley P., Jr.

This study presents and tests an econometric model of job search behavior for youth. The main hypothesis is that differences in search behavior help account for youth-adult employment differences and that within the youth group, black-white unemployment and earnings differentials can be partially explained by job search behavior. Endogenous…

Navigator Command Potential: An Analysis of U.S. Air Force Pilot Attitudes toward the Job Satisfaction Characteristics of U.S. Air Force Navigators

DTIC Science & Technology

1990-09-01

than many of the other officer career fields. In 1986, Marchewka reported that job dissatisfaction among navigators was *probably because their jobs are...Company, Inc., 1935. 30. Marchewka , Maj Peter S. Job Attitudes of USAF Pilots and Navigators. Unpublished report No. 86-1610. Air Command and Staff

Transformational leadership, empowerment, and job satisfaction: the mediating role of employee empowerment.

PubMed

Choi, Sang Long; Goh, Chin Fei; Adam, Muhammad Badrull Hisyam; Tan, Owee Kowang

2016-12-01

Recent studies have revealed that nursing staff turnover remains a major problem in emerging economies. In particular, nursing staff turnover in Malaysia remains high due to a lack of job satisfaction. Despite a shortage of healthcare staff, the Malaysian government plans to create 181 000 new healthcare jobs by 2020 through the Economic Transformation Programme (ETP). This study investigated the causal relationships among perceived transformational leadership, empowerment, and job satisfaction among nurses and medical assistants in two selected large private and public hospitals in Malaysia. This study also explored the mediating effect of empowerment between transformational leadership and job satisfaction. This study used a survey to collect data from 200 nursing staff, i.e., nurses and medical assistants, employed by a large private hospital and a public hospital in Malaysia. Respondents were asked to answer 5-point Likert scale questions regarding transformational leadership, employee empowerment, and job satisfaction. Partial least squares-structural equation modeling (PLS-SEM) was used to analyze the measurement models and to estimate parameters in a path model. Statistical analysis was performed to examine whether empowerment mediated the relationship between transformational leadership and job satisfaction. This analysis showed that empowerment mediated the effect of transformational leadership on the job satisfaction in nursing staff. Employee empowerment not only is indispensable for enhancing job satisfaction but also mediates the relationship between transformational leadership and job satisfaction among nursing staff. The results of this research contribute to the literature on job satisfaction in healthcare industries by enhancing the understanding of the influences of empowerment and transformational leadership on job satisfaction among nursing staff. This study offers important policy insight for healthcare managers who seek to increase job satisfaction among their nursing staff.

Turnover intentions in a call center: The role of emotional dissonance, job resources, and job satisfaction.

PubMed

Zito, Margherita; Emanuel, Federica; Molino, Monica; Cortese, Claudio Giovanni; Ghislieri, Chiara; Colombo, Lara

2018-01-01

Turnover intentions refer to employees' intent to leave the organization and, within call centers, it can be influenced by factors such as relational variables or the perception of the quality of working life, which can be affected by emotional dissonance. This specific job demand to express emotions not felt is peculiar in call centers, and can influence job satisfaction and turnover intentions, a crucial problem among these working contexts. This study aims to detect, within the theoretical framework of the Job Demands-Resources Model, the role of emotional dissonance (job demand), and two resources, job autonomy and supervisors' support, in the perception of job satisfaction and turnover intentions among an Italian call center. The study involved 318 call center agents of an Italian Telecommunication Company. Data analysis first performed descriptive statistics through SPSS 22. A path analysis was then performed through LISREL 8.72 and tested both direct and indirect effects. Results suggest the role of resources in fostering job satisfaction and in decreasing turnover intentions. Emotional dissonance reveals a negative relation with job satisfaction and a positive relation with turnover. Moreover, job satisfaction is negatively related with turnover and mediates the relationship between job resources and turnover. This study contributes to extend the knowledge about the variables influencing turnover intentions, a crucial problem among call centers. Moreover, the study identifies theoretical considerations and practical implications to promote well-being among call center employees. To foster job satisfaction and reduce turnover intentions, in fact, it is important to make resources available, but also to offer specific training programs to make employees and supervisors aware about the consequences of emotional dissonance.

Turnover intentions in a call center: The role of emotional dissonance, job resources, and job satisfaction

PubMed Central

Zito, Margherita; Molino, Monica; Cortese, Claudio Giovanni; Ghislieri, Chiara; Colombo, Lara

2018-01-01

Background Turnover intentions refer to employees’ intent to leave the organization and, within call centers, it can be influenced by factors such as relational variables or the perception of the quality of working life, which can be affected by emotional dissonance. This specific job demand to express emotions not felt is peculiar in call centers, and can influence job satisfaction and turnover intentions, a crucial problem among these working contexts. This study aims to detect, within the theoretical framework of the Job Demands-Resources Model, the role of emotional dissonance (job demand), and two resources, job autonomy and supervisors’ support, in the perception of job satisfaction and turnover intentions among an Italian call center. Method The study involved 318 call center agents of an Italian Telecommunication Company. Data analysis first performed descriptive statistics through SPSS 22. A path analysis was then performed through LISREL 8.72 and tested both direct and indirect effects. Results Results suggest the role of resources in fostering job satisfaction and in decreasing turnover intentions. Emotional dissonance reveals a negative relation with job satisfaction and a positive relation with turnover. Moreover, job satisfaction is negatively related with turnover and mediates the relationship between job resources and turnover. Conclusion This study contributes to extend the knowledge about the variables influencing turnover intentions, a crucial problem among call centers. Moreover, the study identifies theoretical considerations and practical implications to promote well-being among call center employees. To foster job satisfaction and reduce turnover intentions, in fact, it is important to make resources available, but also to offer specific training programs to make employees and supervisors aware about the consequences of emotional dissonance. PMID:29401507

[Recurrence plot analysis of HRV for brain ischemia and asphyxia].

PubMed

Chen, Xiaoming; Qiu, Yihong; Zhu, Yisheng

2008-02-01

Heart rate variability (HRV) is the tiny variability existing in the cycles of the heart beats, which reflects the corresponding balance between sympathetic and vagus nerves. Since the nonlinear characteristic of HRV is confirmed, the Recurrence Plot method, a nonlinear dynamic analysis method based on the complexity, could be used to analyze HRV. The results showed the recurrence plot structures and some quantitative indices (L-Mean, L-Entr) during asphyxia insult vary significantly as compared to those in normal conditions, which offer a new method to monitor brain asphyxia injury.

Numerical flow analysis of axial flow compressor for steady and unsteady flow cases

NASA Astrophysics Data System (ADS)

Prabhudev, B. M.; Satish kumar, S.; Rajanna, D.

2017-07-01

Performance of jet engine is dependent on the performance of compressor. This paper gives numerical study of performance characteristics for axial compressor. The test rig is present at CSIR LAB Bangalore. Flow domains are meshed and fluid dynamic equations are solved using ANSYS package. Analysis is done for six different speeds and for operating conditions like choke, maximum efficiency & before stall point. Different plots are compared and results are discussed. Shock displacement, vortex flows, leakage patterns are presented along with unsteady FFT plot and time step plot.

Psychological and behavioral consequences of job loss: a covariance structure analysis using Weiner's (1985) attribution model.

PubMed

Prussia, G E; Kinicki, A J; Bracker, J S

1993-06-01

B. Weiner's (1985) attribution model of achievement motivation and emotion was used as a theoretical foundation to examine the mediating processes between involuntary job loss and employment status. Seventy-nine manufacturing employees were surveyed 1 month prior to permanent displacement, and finding another job was assessed 18 months later. Covariance structure analysis was used to evaluate goodness of fit and to compare the model to alternative measurement and structural representations. Discriminant validity analyses indicated that the causal dimensions underlying the model were not independent. Model predictions were supported in that internal and stable attributions for job loss negatively influenced finding another job through expectations for re-employment. These predictions held up even after controlling for influential unmeasured variables. Practical and theoretical implications are discussed.

Representing Uncertainty on Model Analysis Plots

ERIC Educational Resources Information Center

Smith, Trevor I.

2016-01-01

Model analysis provides a mechanism for representing student learning as measured by standard multiple-choice surveys. The model plot contains information regarding both how likely students in a particular class are to choose the correct answer and how likely they are to choose an answer consistent with a well-documented conceptual model.…

Key determinants of hospital pharmacy staff's job satisfaction.

PubMed

Liu, Cicely S; White, Lesley

2011-03-01

The level of job satisfaction among pharmacy personnel is of importance because it may affect performance and retention. The objectives of this study were to (1) examine the level of job satisfaction among pharmacists and pharmacy support personnel practicing in Australian hospitals, (2) compare the level of job satisfaction with career satisfaction, (3) investigate the key factors determining hospital pharmacy staff's job satisfaction and their relative importance, and (4) identify the influential factors on their perceptions related to the ideal job. A cross-sectional survey was sent to 350 pharmacy staff in Australia. Participants had the option of returning the completed survey by means of mail or online. Previously validated 5-point scales measured each of the study variables. Data analyses included descriptive statistics, analysis of variance, factor analysis, and multiple linear regression. Responses were received from 188 subjects (53.7%). Job satisfaction was 3.62 ± 0.77, which was significantly higher than career satisfaction 3.38 ± 0.85. Different job satisfaction mean scores were seen among age groups (F=2.718, P<.05). Percentage of time spent in dispensing was negatively correlated to job satisfaction (β=-0.202, P<.01). Sex, job positions, education levels, size and location of the hospitals, and work experience were not significant factors in determining job satisfaction. Job-related predictors of job satisfaction were ability utilization and recognition. Ability utilization was the most important factor in their perception of the ideal job. The primary determinants of job satisfaction were intrinsic aspects of the job; that is, what makes people satisfied is the work that they do or the way they are used. Hospital pharmacy staff need to feel certain about their future, so managers should strive to secure the pharmacist's role in the provision of health care. It is suggested that pharmacy managers focus on altering the job to provide greater use of skills and abilities and to provide increased challenge in the work. Further research should focus on other predictors of job satisfaction and possible ways to enhance satisfaction level. Copyright © 2011 Elsevier Inc. All rights reserved.

Model-independent plot of dynamic PET data facilitates data interpretation and model selection.

PubMed

Munk, Ole Lajord

2012-02-21

When testing new PET radiotracers or new applications of existing tracers, the blood-tissue exchange and the metabolism need to be examined. However, conventional plots of measured time-activity curves from dynamic PET do not reveal the inherent kinetic information. A novel model-independent volume-influx plot (vi-plot) was developed and validated. The new vi-plot shows the time course of the instantaneous distribution volume and the instantaneous influx rate. The vi-plot visualises physiological information that facilitates model selection and it reveals when a quasi-steady state is reached, which is a prerequisite for the use of the graphical analyses by Logan and Gjedde-Patlak. Both axes of the vi-plot have direct physiological interpretation, and the plot shows kinetic parameter in close agreement with estimates obtained by non-linear kinetic modelling. The vi-plot is equally useful for analyses of PET data based on a plasma input function or a reference region input function. The vi-plot is a model-independent and informative plot for data exploration that facilitates the selection of an appropriate method for data analysis. Copyright © 2011 Elsevier Ltd. All rights reserved.

First results from a combined analysis of CERN computing infrastructure metrics

NASA Astrophysics Data System (ADS)

Duellmann, Dirk; Nieke, Christian

2017-10-01

The IT Analysis Working Group (AWG) has been formed at CERN across individual computing units and the experiments to attempt a cross cutting analysis of computing infrastructure and application metrics. In this presentation we will describe the first results obtained using medium/long term data (1 months — 1 year) correlating box level metrics, job level metrics from LSF and HTCondor, IO metrics from the physics analysis disk pools (EOS) and networking and application level metrics from the experiment dashboards. We will cover in particular the measurement of hardware performance and prediction of job duration, the latency sensitivity of different job types and a search for bottlenecks with the production job mix in the current infrastructure. The presentation will conclude with the proposal of a small set of metrics to simplify drawing conclusions also in the more constrained environment of public cloud deployments.

An Analysis of the Effect of Graduate Education on the Job Performance of Federal (DOD) Civilian Employees

DTIC Science & Technology

2002-03-01

speed. She also assessed the advantages and disadvantages of these measures. For example, education level was measured with error in the DMDC dataset...OF GRADUATE EDUCATION ON THE JOB PERFORMANCE OF FEDERAL (DOD) CIVILIAN EMPLOYEES by Guner Celik March 2002 Thesis Advisor: Stephen...Subtitle An Analysis of the Effect of Graduate Education on the Job Performance of Federal (DOD) Civilian Employees Contract Number Grant Number

[Path analysis on workplace violence affecting work ability, job satisfaction and turnover intent in health professionals in Shangqiu City].

PubMed

Wang, Pei-xi; Wang, Mian-zhen; Bai, Qin; Jia, Cai-feng; Lan, Ya-jia; Wang, Zhi-ming; Luan, Rong-sheng

2006-11-01

To explore the effects of workplace violence on work ability, work satisfaction and turnover intent based on the theory of occupational stress in health professionals and to provide evidence for evaluating the process and consequence of workplace violence. Subjects of 483 health professionals from 5 hospitals in Shangqiu city of Hennan Province were selected with stratified cluster random sampling method. Workplace violence, violent fear at work, coping resources, work ability, job satisfaction and turnover intent were measured with questionnaires. Ordinal regression analysis and path analysis were applied to analyze the data. Workplace violence had direct or indirect effects on the work ability and job satisfaction through the fear of future violence at work. Workplace violence only had indirect effects on turnover intent through the fear and job satisfaction in health professionals. Workplace violence had direct and indirect effects on the work ability, job satisfaction and turnover intent. Measures should be taken to reduce workplace violence and it' s effects in health professionals.

An analysis of job placement patterns of black and non-black male and female undergraduates at the University of Virginia and Hampton Institute. Ph.D. Thesis - Virginia Univ.

NASA Technical Reports Server (NTRS)

Anderson, A. F.

1974-01-01

Research questions were proposed to determine the relationship between independent variables (race, sex, and institution attended) and dependent variables (number of job offers received, salary received, and willingness to recommend source of employer contact). The control variables were academic major, grade point average, placement registration, nonemployment activity, employer, and source of employer contact. An analysis of the results revealed no statistical significance of the institution attended as a predictor of job offers or salary, although significant relationships were found between race and sex and number of job offers received. It was found that academic major, grade point average, and source of employer contact were more useful than race in the prediction of salary. Sex and nonemployment activity were found to be the most important variables in the model. The analysis also indicated that Black students received more job offers than non-Black students.

[Temporary employment and health: a multivariate analysis of occupational injury risk by job tenure].

PubMed

Bena, Antonella; Giraudo, Massimiliano

2013-01-01

To study the relationship between job tenure and injury risk, controlling for individual factors and company characteristics. Analysis of incidence and injury risk by job tenure, controlling for gender, age, nationality, economic activity, firm size. Sample of 7% of Italian workers registered in the INPS (National Institute of Social Insurance) database. Private sector employees who worked as blue collars or apprentices. First-time occupational injuries, all occupational injuries, serious occupational injuries. Our findings show an increase in injury risk among those who start a new job and an inverse relationship between job tenure and injury risk. Multivariate analysis confirm these results. Recommendations for improving this situation include the adoption of organizational models that provide periods of mentoring from colleagues already in the company and the assignment to simple and not much hazardous tasks. The economic crisis may exacerbate this problem: it is important for Italy to improve the systems of monitoring relations between temporary employment and health.

Association of arginase I or nitric oxide-related factors with job strain in healthy workers

PubMed Central

Eguchi, Eri; Nagaoka, Kenjiro

2017-01-01

This study evaluated the associations between job strain and arginase I in 378 healthy Japanese factory workers by a cross-sectional study measuring nitric oxide (NO)-related parameters (arginase I, L-arginine, exhaled nitric oxide (FeNO), and NOx), clinical parameters, and job strain using a Japanese version of the Job Content Questionnaire by Karasek. Arginase I and FEV1% were negatively correlated with job strain and positively correlated with job control and social support. FeNO and hs-CRP were negatively correlated with job strain. Multiple regression analysis showed negative association of arginase I with job strain and positive association with job control and social support in females. It is concluded that serum levels of arginase I may be useful biomarkers for the diagnosis of job stress in healthy female workers, although many factors can be influencing the data. PMID:28403218

Job stress and mental health among nonregular workers in Korea: What dimensions of job stress are associated with mental health?

PubMed

Park, Soo Kyung; Rhee, Min-Kyoung; Barak, Michàlle Mor

2016-01-01

Although nonregular workers experience higher job stress, poorer mental health, and different job stress dimensions relative to regular workers, little is known about which job stress dimensions are associated with poor mental health among nonregular workers. This study investigated the association between job stress dimensions and mental health among Korean nonregular workers. Data were collected from 333 nonregular workers in Seoul and Gyeonggi Province, and logistic regression analysis was conducted. Results of the study indicated that high job insecurity and lack of rewards had stronger associations with poor mental health than other dimensions of job stress when controlling for sociodemographic and psychosocial variables. It is important for the government and organizations to improve job security and reward systems to reduce job stress among nonregular workers and ultimately alleviate their mental health issues.

PETRO.CALC.PLOT, Microsoft Excel macros to aid petrologic interpretation

USGS Publications Warehouse

Sidder, G.B.

1994-01-01

PETRO.CALC.PLOT is a package of macros which normalizes whole-rock oxide data to 100%, calculates the cation percentages and molecular proportions used for normative mineral calculations, computes the apices for ternary diagrams, determines sums and ratios of specific elements of petrologic interest, and plots 33 X-Y graphs and five ternary diagrams. PETRO.CALC.PLOT also may be used to create other diagrams as desired by the user. The macros run in Microsoft Excel 3.0 and 4.0 for Macintosh computers and in Microsoft Excel 3.0 and 4.0 for Windows. Macros provided in PETRO.CALC.PLOT minimize repetition and time required to recalculate and plot whole-rock oxide data for petrologic analysis. ?? 1994.

User manual for two simple postscript output FORTRAN plotting routines

NASA Technical Reports Server (NTRS)

Nguyen, T. X.

1991-01-01

Graphics is one of the important tools in engineering analysis and design. However, plotting routines that generate output on high quality laser printers normally come in graphics packages, which tend to be expensive and system dependent. These factors become important for small computer systems or desktop computers, especially when only some form of a simple plotting routine is sufficient. With the Postscript language becoming popular, there are more and more Postscript laser printers now available. Simple, versatile, low cost plotting routines that can generate output on high quality laser printers are needed and standard FORTRAN language plotting routines using output in Postscript language seems logical. The purpose here is to explain two simple FORTRAN plotting routines that generate output in Postscript language.

Psychometric Assessment of the Job Embeddedness Instrument: A Rasch Perspective.

PubMed

Reitz, O Ed; Smith, Everett V

2018-05-01

The aim of this study was to examine the psychometric properties of the job embeddedness instrument (JEI) using a Rasch perspective in a sample of Registered Nurses (RNs). A secondary analysis of data was conducted from a previous study examining the job embeddedness of rural and urban RNs. A Rasch analysis supported the six underlying dimensions: organizational fit, community fit, organizational links, community links, organizational sacrifice, and community sacrifice. The results of this study also demonstrate additional evidence of the validity, reliability, and generalizability of the JEI inferences with a sample of RNs. In total, 38 of 39 items of the original JEI were retained in the model. The psychometric evaluation attained through this multidimensional Rasch analysis provided support for using the JEI to assess the level of job embeddedness for RNs.

The Information Professional's Profile: An Analysis of Brazilian Job Vacancies on the Internet

ERIC Educational Resources Information Center

da Cunha, Miriam Vieira

2009-01-01

Introduction: Report of a study to discover and describe job vacancies for information professionals available online at specific sites and discussion lists between January 2005 and February 2008. Method: The study uses Bardin's content analysis technique and the following analysis criteria: information source, institutional type, professional…

Corrections for Cluster-Plot Slop

Treesearch

Harry T. Valentine; Mark J. Ducey; Jeffery H. Gove; Adrian Lanz; David L.R. Affleck

2006-01-01

Cluster-plot designs, including the design used by the Forest Inventory and Analysis program of the USDA Forest Service (FIA), are attended by a complicated boundary slopover problem. Slopover occurs where inclusion zones of objects of interest cross the boundary of the area of interest. The dispersed nature of inclusion zones that arise from the use of cluster plots...

Analysis issues due to mapped conditions changing over time

Treesearch

Paul. Van Deusen

2015-01-01

Plot mapping is one of the innovations that were implemented when FIA moved to the annual forest inventory system. Mapped plots can improve the precision of estimates if the mapped conditions are carefully chosen and used judiciously. However, after plots are remeasured multiple times, it can be difficult to properly track changes in conditions and incorporate this...

Compensating for missing plot observations inforest inventory estimation

Treesearch

Ronald E. McRoberts

2003-01-01

The Enhanced Forest Inventory and Analysis program of the U.S. Forest Service has established a nationwide array of permanent field plots, each representing approximately 2400 ha. Each plot has been assigned to one of five interpenetrating, nonoverlapping panels, with one panel selected for measurement on a rotating basis each year. As with most large surveys,...

Estimating number and size of forest patches from FIA plot data

Treesearch

Mark D. Nelson; Andrew J. Lister; Mark H. Hansen

2009-01-01

Forest inventory and analysis (FIA) annual plot data provide for estimates of forest area, type, volume, growth, and other attributes. Estimates of forest landscape metrics, such as those describing abundance, size, and shape of forest patches, however, typically are not derived from FIA plot data but from satellite image-based land cover maps. Associating image-based...

The hexagon/panel system for selecting FIA plots under an annual inventory

Treesearch

Gary J. Brand; Mark D. Nelson; Daniel G. Wendt; Kevin K. Nimerfro

2000-01-01

Forest Inventory and Analysis (FIA) is changing to an annual nationwide forest inventory. This paper describes the sampling grid used to distribute FIA plots across the landscape and to allocate them to a particular measurement year. We also describe the integration of the F1A and Forest Health Monitoring (FHM) plot networks.

Effects of plot size on forest-type algorithm accuracy

Treesearch

James A. Westfall

2009-01-01

The Forest Inventory and Analysis (FIA) program utilizes an algorithm to consistently determine the forest type for forested conditions on sample plots. Forest type is determined from tree size and species information. Thus, the accuracy of results is often dependent on the number of trees present, which is highly correlated with plot area. This research examines the...

Estimating mapped-plot forest attributes with ratios of means

Treesearch

S.J. Zarnoch; W.A. Bechtold

2000-01-01

The mapped-plot design utilized by the U.S. Department of Agriculture (USDA) Forest Inventory and Analysis and the National Forest Health Monitoring Programs is described. Data from 2458 forested mapped plots systematically spread across 25 States reveal that 35 percent straddle multiple conditions. The ratio-of-means estimator is developed as a method to obtain...

The Gran Plot Analysis of an Acid Mixture. An Undergraduate Experiment to Highlight this Alternate Method.

ERIC Educational Resources Information Center

Boiani, James A.

1986-01-01

Describes an experiment which uses the Gran plot for analyzing free ions as well as those involved in an equilibrium. Discusses the benefits of using Gran plots in the study of acids, as well as other analytes in solutions. Presents background theory along with a description of the experimental procedures. (TW)

An Intuitive Graphical Approach to Understanding the Split-Plot Experiment

ERIC Educational Resources Information Center

Robinson, Timothy J.; Brenneman, William A.; Myers, William R.

2009-01-01

While split-plot designs have received considerable attention in the literature over the past decade, there seems to be a general lack of intuitive understanding of the error structure of these designs and the resulting statistical analysis. Typically, students learn the proper error terms for testing factors of a split-plot design via "expected…

Adding uncertainty to forest inventory plot locations: effects on analyses using geospatial data

Treesearch

Alexia A. Sabor; Volker C. Radeloff; Ronald E. McRoberts; Murray Clayton; Susan I. Stewart

2007-01-01

The Forest Inventory and Analysis (FIA) program of the USDA Forest Service alters plot locations before releasing data to the public to ensure landowner confidentiality and sample integrity, but using data with altered plot locations in conjunction with other spatially explicit data layers produces analytical results with unknown amounts of error. We calculated the...

Psychological effects of relational job characteristics: validation of the scale for hospital nurses.

PubMed

Santos, Alda; Castanheira, Filipa; Chambel, Maria José; Amarante, Michael Vieira; Costa, Carlos

2017-07-01

This study validates the Portuguese version of the psychological effects of the relational job characteristics scale among hospital nurses in Portugal and Brazil. Increasing attention has been given to the social dimension of work, following the transition to a service economy. Nevertheless, and despite the unquestionable relational characteristics of nursing work, scarce research has been developed among nurses under a relational job design framework. Moreover, it is important to develop instruments that study the effects of relational job characteristics among nurses. We followed Messick's framework for scale validation, comprising the steps regarding the response process and internal structure, as well as relationships with other variables (work engagement and burnout). Statistical analysis included exploratory factor analysis and confirmatory factor analysis. The psychological effects of the relational job characteristics scale provided evidence of good psychometric properties with Portuguese and Brazilian hospital nurses. Also, the psychological effects of the relational job characteristics are associated with nurses' work-related well-being: positively with work engagement and negatively concerning burnout. Hospitals that foster the relational characteristics of nursing work are contributing to their nurses' work-related well-being, which may be reflected in the quality of care and patient safety. © 2017 John Wiley & Sons Ltd.

Job Stress among Hispanic Professionals

ERIC Educational Resources Information Center

Rodriguez-Calcagno, Maria; Brewer, Ernest W.

2005-01-01

This study explores job stress among a random sample of 219 Hispanic professionals. Participants complete the Job Stress Survey by Spielberger and Vagg and a demographic questionnaire. Responses are analyzed using descriptive statistics, a factorial analysis of variance, and coefficients of determination. Results indicate that Hispanic…

A Simplified Approach to Job Analysis. Part 2. The Means of Validation

ERIC Educational Resources Information Center

Thomas, D. B.; Costley, J. M.

1969-01-01

A representative of the Royal Air Force School of Education and a Field Training Advisor to the Civil Air Transport Industry Training Board continue the description of their simplified approach to job analysis. (LY)

Genome-wide scan of job-related exhaustion with three replication studies implicate a susceptibility variant at the UST gene locus

PubMed Central

Sulkava, Sonja; Ollila, Hanna M.; Ahola, Kirsi; Partonen, Timo; Viitasalo, Katriina; Kettunen, Johannes; Lappalainen, Maarit; Kivimäki, Mika; Vahtera, Jussi; Lindström, Jaana; Härmä, Mikko; Puttonen, Sampsa; Salomaa, Veikko; Paunio, Tiina

2013-01-01

Job-related exhaustion is the core dimension of burnout, a work-related stress syndrome that has several negative health consequences. In this study, we explored the molecular genetic background of job-related exhaustion. A genome-wide analysis of job-related exhaustion was performed in the GENMETS subcohort (n = 1256) of the Finnish population-based Health 2000 study. Replication analyses included an analysis of the strongest associations in the rest of the Health 2000 sample (n = 1660 workers) and in three independent populations (the FINRISK population cohort, n = 10 753; two occupational cohorts, total n = 1451). Job-related exhaustion was ascertained using a standard self-administered questionnaire (the Maslach Burnout Inventory (MBI)-GS exhaustion scale in the Health 2000 sample and the occupational cohorts) or a single question (FINRISK). A variant located in an intron of UST, uronyl-2-sulfotransferase (rs13219957), gave the strongest statistical evidence in the initial genome-wide study (P = 1.55 × 10−7), and was associated with job-related exhaustion in all the replication sets (P < 0.05; P = 6.75 × 10−7 from the meta-analysis). Consistent with studies of mood disorders, individual common genetic variants did not have any strong effect on job-related exhaustion. However, the nominally significant signals from the allelic variant of UST in four separate samples suggest that this variant might be a weak risk factor for job-related exhaustion. Together with the previously reported associations of other dermatan/chondroitin sulfate genes with mood disorders, these results indicate a potential molecular pathway for stress-related traits and mark a candidate region for further studies of job-related and general exhaustion. PMID:23620144

The job content questionnaire in various occupational contexts: applying a latent class model

PubMed Central

Santos, Kionna Oliveira Bernardes; de Araújo, Tânia Maria; Karasek, Robert

2017-01-01

Objective To evaluate Job Content Questionnaire(JCQ) performance using the latent class model. Methods We analysed cross-sectional studies conducted in Brazil and examined three occupational categories: petroleum industry workers (n=489), teachers (n=4392) and primary healthcare workers (3078)and 1552 urban workers from a representative sample of the city of Feira de Santana in Bahia, Brazil. An appropriate number of latent classes was extracted and described each occupational category using latent class analysis, a multivariate method that evaluates constructs and takes into account the latent characteristics underlying the structure of measurement scales. The conditional probabilities of workers belonging to each class were then analysed graphically. Results Initially, the latent class analysis extracted four classes corresponding to the four job types (active, passive, low strain and high strain) proposed by the Job-Strain model (JSM) and operationalised by the JCQ. However, after taking into consideration the adequacy criteria to evaluate the number of extracted classes, three classes (active, low strain and high strain) were extracted from the studies of urban workers and teachers and four classes (active, passive, low strain and high strain) from the study of primary healthcare and petroleum industry workers. Conclusion The four job types proposed by the JSM were identified among primary healthcare and petroleum industry workers—groups with relatively high levels of skill discretion and decision authority. Three job types were identified for teachers and urban workers; however, passive job situations were not found within these groups. The latent class analysis enabled us to describe the conditional standard responses of the job types proposed by the model, particularly in relation to active jobs and high and low strain situations. PMID:28515185

magicaxis: Pretty scientific plotting with minor-tick and log minor-tick support

NASA Astrophysics Data System (ADS)

Robotham, Aaron S. G.

2016-04-01

The R suite magicaxis makes useful and pretty plots for scientific plotting and includes functions for base plotting, with particular emphasis on pretty axis labelling in a number of circumstances that are often used in scientific plotting. It also includes functions for generating images and contours that reflect the 2D quantile levels of the data designed particularly for output of MCMC posteriors where visualizing the location of the 68% and 95% 2D quantiles for covariant parameters is a necessary part of the post MCMC analysis, can generate low and high error bars, and allows clipping of values, rejection of bad values, and log stretching.

[Application of job demands-resources model in research on relationships between job satisfaction, job resources, individual resources and job demands].

PubMed

Potocka, Adrianna; Waszkowska, Małgorzata

2013-01-01

The aim of this study was to explore the relationships between job demands, job resourses, personal resourses and job satisfaction and to assess the usefulness of the Job Demands-Resources (JD-R) model in the explanation of these phenomena. The research was based on a sample of 500 social workers. The "Psychosocial Factors" and "Job satisfaction" questionnaires were used to test the hypothesis. The results showed that job satisfaction increased with increasing job accessibility and personal resources (r = 0.44; r = 0.31; p < 0.05). The analysis of variance (ANOVA) indicated that job resources and job demands [F(1.474) = 4.004; F(1.474) = 4.166; p < 0.05] were statistically significant sources of variation in job satisfaction. Moreover, interactions between job demands and job resources [F(3,474) = 2.748; p <0.05], as well as between job demands and personal resources [F(3.474) = 3.021; p <0.05] had a significant impact on job satisfaction. The post hoc tests showed that 1) in low job demands, but high job resources employees declared higher job satisfaction, than those who perceived them as medium (p = 0.0001) or low (p = 0.0157); 2) when the level of job demands was perceived as medium, employees with high personal resources declared significantly higher job satisfaction than those with low personal resources (p = 0.0001). The JD-R model can be used to investigate job satisfaction. Taking into account fundamental factors of this model, in organizational management there are possibilities of shaping job satisfaction among employees.

Graphical augmentations to the funnel plot assess the impact of additional evidence on a meta-analysis.

PubMed

Langan, Dean; Higgins, Julian P T; Gregory, Walter; Sutton, Alexander J

2012-05-01

We aim to illustrate the potential impact of a new study on a meta-analysis, which gives an indication of the robustness of the meta-analysis. A number of augmentations are proposed to one of the most widely used of graphical displays, the funnel plot. Namely, 1) statistical significance contours, which define regions of the funnel plot in which a new study would have to be located to change the statistical significance of the meta-analysis; and 2) heterogeneity contours, which show how a new study would affect the extent of heterogeneity in a given meta-analysis. Several other features are also described, and the use of multiple features simultaneously is considered. The statistical significance contours suggest that one additional study, no matter how large, may have a very limited impact on the statistical significance of a meta-analysis. The heterogeneity contours illustrate that one outlying study can increase the level of heterogeneity dramatically. The additional features of the funnel plot have applications including 1) informing sample size calculations for the design of future studies eligible for inclusion in the meta-analysis; and 2) informing the updating prioritization of a portfolio of meta-analyses such as those prepared by the Cochrane Collaboration. Copyright © 2012 Elsevier Inc. All rights reserved.

Visual Data Analysis for Satellites

NASA Technical Reports Server (NTRS)

Lau, Yee; Bhate, Sachin; Fitzpatrick, Patrick

2008-01-01

The Visual Data Analysis Package is a collection of programs and scripts that facilitate visual analysis of data available from NASA and NOAA satellites, as well as dropsonde, buoy, and conventional in-situ observations. The package features utilities for data extraction, data quality control, statistical analysis, and data visualization. The Hierarchical Data Format (HDF) satellite data extraction routines from NASA's Jet Propulsion Laboratory were customized for specific spatial coverage and file input/output. Statistical analysis includes the calculation of the relative error, the absolute error, and the root mean square error. Other capabilities include curve fitting through the data points to fill in missing data points between satellite passes or where clouds obscure satellite data. For data visualization, the software provides customizable Generic Mapping Tool (GMT) scripts to generate difference maps, scatter plots, line plots, vector plots, histograms, timeseries, and color fill images.

The Relationship Between Job Satisfaction and Productivity-Related Costs: A Longitudinal Analysis.

PubMed

Arnold, Amélie E; Coffeng, Jennifer K; Boot, Cécile R L; van der Beek, Allard J; van Tulder, Maurits W; Nieboer, Dagmar; van Dongen, Johanna M

2016-09-01

The aim of this study was to examine the longitudinal relationship between job satisfaction and total productivity-related costs, and between job satisfaction and absenteeism and presenteeism costs separately. A secondary aim was to explore whether these relationships differed across job types. Linear generalized estimating equation analyses were used to explore the longitudinal relationships. To explore whether the relationships differed across job types, stratified analyses were performed. A significant relationship was found between job satisfaction and total productivity-related costs [β = &OV0556;-273; 95% confidence interval (95% CI): -407 to -200] and between job satisfaction and presenteeism costs (β = &OV0556;-276; 95% CI: -367 to -235), but not between job satisfaction and absenteeism costs. These relationships differed across job types. Higher levels of job satisfaction were longitudinally related to lower total productivity-related costs and presenteeism costs, but not to lower absenteeism costs. These relationships seem to differ across job types.

The skill-divide in job quality: a cross-national analysis of 28 countries.

PubMed

Stier, Haya

2015-01-01

This study focuses on the skill divide in job quality and the role of social institutions in structuring the relation of workers' qualifications to the attributes of their jobs. Four measures of job quality are examined: job security, job achievement, job content and work schedule flexibility. The study is based on the 2005 ISSP module on work orientations and encompasses 28 countries. Obtained through multilevel modeling, the findings show that low-skilled workers are disadvantaged in all aspects of job quality. However, skill inequality in the quality of employment depends on countries' characteristics, with declining inequality in countries at higher levels of technological development and to some extent also in times of technological growth. At times of high unemployment, skill disparities in job security widen while on other measures of job quality they decline. Under high market regulation, the low skilled enjoy better job security but on other measures, skill inequalities increase. Copyright © 2014 Elsevier Inc. All rights reserved.

Job dimensions associated with severe disability due to cardiovascular disease.

PubMed

Murphy, L R

1991-01-01

This study explored associations among job activities and disability due to cardiovascular disease by merging national disability data with independently-obtained job activity data. Disability data were taken from a 1978 U.S. health interview survey (n = 9855). Expert ratings of job activities (dimensions) were obtained from a job analysis database (n = 2485 occupations). The two databases were merged such that job dimension data were imputed to each occupation in the disability database. Odds ratios for cardiovascular disability were calculated for scores in the second, third, and fourth quartiles for each of the 32 job dimensions, using scores in the first quartile as the standard. Job dimensions associated with cardiovascular disability were (a) hazardous situations; (b) vigilant work and responsibility for others; (c) exchanging job-related information; and (d) attention to devices. Occupations identified with high scores on these job dimensions included transportation jobs (air traffic controllers, airline pilots and attendants, bus drivers, locomotive engineers, truck drivers), teachers (preschool, adult education), and craftsmen/foremen (machinists, carpenters, and foremen).

Job strain among rubber-glove-factory workers in central Thailand.

PubMed

Sein, Muang Muang; Howteerakul, Nopporn; Suwannapong, Nawarat; Jirachewee, Jirachai

2010-01-01

Job strain has become a major concern because of its potential impacts on worker well-being and performance. This cross-sectional study aimed to assess the prevalence of, and examine factors associated with, job strain among workers in a rubber-glove factory, in a central province of Thailand. A total of 200 workers aged 18-55 yr, who had worked at the factory for at least 6 months, completed the Job Content Questionnaire (JCQ) (Thai Version). Two of 5 scales in the JCQ were used to measure job strain, i.e.; job control and psychological job demand. The prevalence of job strain was 27.5%. Multiple logistic regression analysis indicated two variables significantly associated with job strain: low supervisor social support (adjusted OR=3.08; 95%CI: 1.38-6.91) and high job insecurity (adjusted OR=2.25; 95%CI: 1.04-4.88). Effective training for supervisors, to create good relationships among workers and supervisors, and ensuring steady and secure jobs for good employees, are necessary.

A method for developing design diagrams for ceramic and glass materials using fatigue data

NASA Technical Reports Server (NTRS)

Heslin, T. M.; Magida, M. B.; Forrest, K. A.

1986-01-01

The service lifetime of glass and ceramic materials can be expressed as a plot of time-to-failure versus applied stress whose plot is parametric in percent probability of failure. This type of plot is called a design diagram. Confidence interval estimates for such plots depend on the type of test that is used to generate the data, on assumptions made concerning the statistical distribution of the test results, and on the type of analysis used. This report outlines the development of design diagrams for glass and ceramic materials in engineering terms using static or dynamic fatigue tests, assuming either no particular statistical distribution of test results or a Weibull distribution and using either median value or homologous ratio analysis of the test results.

An intelligent algorithm for optimizing emergency department job and patient satisfaction.

PubMed

Azadeh, Ali; Yazdanparast, Reza; Abdolhossein Zadeh, Saeed; Keramati, Abbas

2018-06-11

Purpose Resilience engineering, job satisfaction and patient satisfaction were evaluated and analyzed in one Tehran emergency department (ED) to determine ED strengths, weaknesses and opportunities to improve safety, performance, staff and patient satisfaction. The paper aims to discuss these issues. Design/methodology/approach The algorithm included data envelopment analysis (DEA), two artificial neural networks: multilayer perceptron and radial basis function. Data were based on integrated resilience engineering (IRE) and satisfaction indicators. IRE indicators are considered inputs and job and patient satisfaction indicators are considered output variables. Methods were based on mean absolute percentage error analysis. Subsequently, the algorithm was employed for measuring staff and patient satisfaction separately. Each indicator is also identified through sensitivity analysis. Findings The results showed that salary, wage, patient admission and discharge are the crucial factors influencing job and patient satisfaction. The results obtained by the algorithm were validated by comparing them with DEA. Practical implications The approach is a decision-making tool that helps health managers to assess and improve performance and take corrective action. Originality/value This study presents an IRE and intelligent algorithm for analyzing ED job and patient satisfaction - the first study to present an integrated IRE, neural network and mathematical programming approach for optimizing job and patient satisfaction, which simultaneously optimizes job and patient satisfaction, and IRE. The results are validated by DEA through statistical methods.

An investigation of wing buffeting response at subsonic and transonic speeds. Phase 2: F-111A flight data analysis. Volume 2: Plotted power spectra

NASA Technical Reports Server (NTRS)

Benepe, D. B.; Cunningham, A. M., Jr.; Traylor, S., Jr.; Dunmyer, W. D.

1978-01-01

Plotted power spectra for all of the flight points examined during the Phase 2 flight data analysis are presented. Detailed descriptions of the aircraft, the flight instrumentation and the analysis techniques are given. Measured and calculated vibration mode frequencies are also presented to assist in further interpretation of the PSD data.

Igloo-Plot: a tool for visualization of multidimensional datasets.

PubMed

Kuntal, Bhusan K; Ghosh, Tarini Shankar; Mande, Sharmila S

2014-01-01

Advances in science and technology have resulted in an exponential growth of multivariate (or multi-dimensional) datasets which are being generated from various research areas especially in the domain of biological sciences. Visualization and analysis of such data (with the objective of uncovering the hidden patterns therein) is an important and challenging task. We present a tool, called Igloo-Plot, for efficient visualization of multidimensional datasets. The tool addresses some of the key limitations of contemporary multivariate visualization and analysis tools. The visualization layout, not only facilitates an easy identification of clusters of data-points having similar feature compositions, but also the 'marker features' specific to each of these clusters. The applicability of the various functionalities implemented herein is demonstrated using several well studied multi-dimensional datasets. Igloo-Plot is expected to be a valuable resource for researchers working in multivariate data mining studies. Igloo-Plot is available for download from: http://metagenomics.atc.tcs.com/IglooPlot/. Copyright © 2014 Elsevier Inc. All rights reserved.

Split-plot microarray experiments: issues of design, power and sample size.

PubMed

Tsai, Pi-Wen; Lee, Mei-Ling Ting

2005-01-01

This article focuses on microarray experiments with two or more factors in which treatment combinations of the factors corresponding to the samples paired together onto arrays are not completely random. A main effect of one (or more) factor(s) is confounded with arrays (the experimental blocks). This is called a split-plot microarray experiment. We utilise an analysis of variance (ANOVA) model to assess differentially expressed genes for between-array and within-array comparisons that are generic under a split-plot microarray experiment. Instead of standard t- or F-test statistics that rely on mean square errors of the ANOVA model, we use a robust method, referred to as 'a pooled percentile estimator', to identify genes that are differentially expressed across different treatment conditions. We illustrate the design and analysis of split-plot microarray experiments based on a case application described by Jin et al. A brief discussion of power and sample size for split-plot microarray experiments is also presented.

Income inequality as a moderator of the relationship between psychological job demands and sickness absence, in particular in men: an international comparison of 23 countries.

PubMed

Muckenhuber, Johanna; Burkert, Nathalie; Großschädl, Franziska; Freidl, Wolfgang

2014-01-01

The aim of this study was to investigate whether more sickness absence is reported in countries with higher income inequality than elsewhere, and whether the level of income inequality moderates the association between psycho-social job demands and sickness absence. Our analysis is based on the Fifth European Working Conditions Survey that compared 23 European countries. We performed multi-level regression analysis. On the macro-level of analysis we included the Gini-Index as measure of inequality. On the micro-level of analysis we followed the Karasek-Theorell model and included three scales for psychological job demands, physical job demands, and decision latitude in the model. The model was stratified by sex. We found that, in countries with high income inequality, workers report significantly more sickness absence than workers in countries with low income inequality. In addition we found that the level of income inequality moderates the relationship between psychological job demands and sickness absence. High psychological job demands are significantly more strongly related to more days of sickness absence in countries with low income inequality than in countries with high income inequality. As the nature and causal pathways of cross-level interaction effects still cannot be fully explained, we argue that future research should aim to explore such causal pathways. In accordance with WHO recommendations we argue that inequalities should be reduced. In addition we state that, particularly in countries with low levels of income inequality, policies should aim to reduce psychological job demands.

Income Inequality as a Moderator of the Relationship between Psychological Job Demands and Sickness Absence, in Particular in Men: An International Comparison of 23 Countries

PubMed Central

Muckenhuber, Johanna; Burkert, Nathalie; Großschädl, Franziska; Freidl, Wolfgang

2014-01-01

Objectives The aim of this study was to investigate whether more sickness absence is reported in countries with higher income inequality than elsewhere, and whether the level of income inequality moderates the association between psycho-social job demands and sickness absence. Methods Our analysis is based on the Fifth European Working Conditions Survey that compared 23 European countries. We performed multi-level regression analysis. On the macro-level of analysis we included the Gini-Index as measure of inequality. On the micro-level of analysis we followed the Karasek-Theorell model and included three scales for psychological job demands, physical job demands, and decision latitude in the model. The model was stratified by sex. Results We found that, in countries with high income inequality, workers report significantly more sickness absence than workers in countries with low income inequality. In addition we found that the level of income inequality moderates the relationship between psychological job demands and sickness absence. High psychological job demands are significantly more strongly related to more days of sickness absence in countries with low income inequality than in countries with high income inequality. Conclusions As the nature and causal pathways of cross-level interaction effects still cannot be fully explained, we argue that future research should aim to explore such causal pathways. In accordance with WHO recommendations we argue that inequalities should be reduced. In addition we state that, particularly in countries with low levels of income inequality, policies should aim to reduce psychological job demands. PMID:24505271

Occupational stress and job satisfaction of healthcare staff in rehabilitation units.

PubMed

Fiabane, Elena; Giorgi, Ines; Musian, D; Sguazzin, Cinzia; Argentero, P

2012-01-01

Occupational stress and job dissatisfaction are recognized risk factors for healthcare professionals and can lead to a decrease in work performance and in the quality of care offered, and to poorer health of workers. Research in the rehabilitation care setting is very limited and needs to be explored. To investigate occupational stress, job satisfaction and their relationships with organizational factors among healthcare staff in rehabilitation units. A cross-sectional study of healthcare staff working in two rehabilitation units was conducted. They were sent two self-administered questionnaires, the Occupational Stress Indicator (OSI) and the Areas of Work life Scale (AWS), in order to assess occupational stress and job satisfaction. One-way ANOVA was used to explore work stress among two groups of workers, characterized by high and low job satisfaction levels. Stepwise multiple linear regression analysis was conducted to assess the association between job satisfaction and organizational risk factors. A total of 90 questionnaires were returned (response rate 53%). The main sources of stress were unfairness, conflict between personal and organizational values, lack of reward and workload Workers with low job satisfaction significantly scored higher in work-related stress in regard to various aspects of work, and in lower job control. Regression analysis showed that the most important predictors of job satisfaction were fairness and workload. The results of this study showed that job dissatisfaction is strongly associated with work stress and certain organizational risk factors. This study suggests the importance of focusing on the psychosocial factors in the work environment and job satisfaction in order to improve the well-being of rehabilitation healthcare staff.

Job demands, job resources and long-term sickness absence in the Danish eldercare services: a prospective analysis of register-based outcomes.

PubMed

Clausen, Thomas; Nielsen, Karina; Carneiro, Isabella Gomes; Borg, Vilhelm

2012-01-01

To investigate associations between psychosocial job demands, job resources and cases of registered long-term sickness absence among nursing staff in the eldercare services. Research has shown that psychosocial work environment exposures predict sickness absence in healthcare settings. However, only few studies have longitudinally investigated associations between specific job demands and job resources and risk of long-term sickness absence. Questionnaire data were collected in 2004 and 2005 among all employees in the eldercare services in 35 Danish municipalities and were followed in a National register on payment of sickness absence compensation for a 1-year follow-up period (N = 7921). Three psychosocial job demands - emotional demands, quantitative demands and role conflicts - and three job resources - influence, quality of leadership and team climate - were investigated to predict risk of sickness absence for eight or more consecutive weeks in the follow-up period. Data were analysed using Cox proportional hazards model. A percentage of 6·5 of the respondents were absent for eight or more consecutive weeks during follow-up. The analyses showed that emotional demands, role conflicts, influence, quality of leadership and team climate were significantly associated with risk of long-term sickness absence. In an analysis with mutual adjustment for all job demands and job resources, influence constituted the strongest predictor of long-term sickness absence (negative association). Job demands and job resources are significantly associated with risk of long-term sickness absence. Interventions aimed at improving the psychosocial work environment may, therefore, contribute towards preventing long-term sickness absence in the eldercare services. © 2011 Blackwell Publishing Ltd.

Are health workers motivated by income? Job motivation of Cambodian primary health workers implementing performance-based financing.

PubMed

Khim, Keovathanak

2016-01-01

Financial incentives are widely used in performance-based financing (PBF) schemes, but their contribution to health workers' incomes and job motivation is poorly understood. Cambodia undertook health sector reform from the middle of 2009 and PBF was employed as a part of the reform process. This study examines job motivation for primary health workers (PHWs) under PBF reform in Cambodia and assesses the relationship between job motivation and income. A cross-sectional self-administered survey was conducted on 266 PHWs, from 54 health centers in the 15 districts involved in the reform. The health workers were asked to report all sources of income from public sector jobs and provide answers to 20 items related to job motivation. Factor analysis was conducted to identify the latent variables of job motivation. Factors associated with motivation were identified through multivariable regression. PHWs reported multiple sources of income and an average total income of US$190 per month. Financial incentives under the PBF scheme account for 42% of the average total income. PHWs had an index motivation score of 4.9 (on a scale from one to six), suggesting they had generally high job motivation that was related to a sense of community service, respect, and job benefits. Regression analysis indicated that income and the perception of a fair distribution of incentives were both statistically significant in association with higher job motivation scores. Financial incentives used in the reform formed a significant part of health workers' income and influenced their job motivation. Improving job motivation requires fixing payment mechanisms and increasing the size of incentives. PBF is more likely to succeed when income, training needs, and the desire for a sense of community service are addressed and institutionalized within the health system.

Job satisfaction of nurse practitioners: an analysis using Herzberg's theory.

PubMed

Koelbel, P W; Fuller, S G; Misener, T R

1991-04-01

The current sociopolitical and economic forces affecting health care may lead to job dissatisfaction among nurse practitioners, according to results of a South Carolina study. A mailed survey that consisted of the Index of Job Satisfaction and the Minnesota Satisfaction Questionnaire--Short Form was used to test Herzberg's dual-factor theory of job satisfaction. A response rate of 90 percent was attained, with a final sample of 132 nurse practitioners and midwives. Consistent with the predictions of Herzberg's model, intrinsic factors served as sources of job satisfaction, while extrinsic factors were the primary sources of job dissatisfaction. Nurse practitioners in the sample reported a moderate amount of satisfaction with their "overall jobs." Suggestions are provided for ways both nurse practitioners and health administrators can enhance job satisfaction.

Type A in relation to job-stress, social and bioclinical variables: the Belgian Physical Fitness Study.

PubMed

Kittel, F; Kornitzer, M; De Backer, G; Dramaix, M; Sobolski, J; Degré, S; Denolin, H

1983-12-01

The present study focuses on the relationship of Type A behavior, a suspected coronary-prone behavior pattern in its overall or specific aspects, to "stress" experienced at work, and to social and coronary bioclinical risk factors. In order to measure Type A behavior and Job-Stress, respectively, the Jenkins Activity Survey Questionnaire (J.A.S. for employed persons, 1969 version) and a self-constructed Job-Stress Questionnaire were administered at a base-line examination to 2,302 men aged 40-50 years. The multivariate analysis shows: A strong Type A behavior-Job-Stress relationship; An important relationship between employment grade, educational attainment and--to a lesser extent--, marital status and, overall Type A behavior, Speed and Impatience and Job-Involvement, A weak relationship between cholesterol and triglycerides (not found in univariate analysis), and, overall Type A behavior; a small weak relationship between smoking habits, and, Speed and Impatience and Hard-Driving. A direct relationship between heavy physical activity during leisure-time and Job-Involvement.

Construct validity of the Thai version of the job content questionnaire in a large population of heterogeneous occupations.

PubMed

Phakthongsuk, Pitchaya

2009-04-01

To test the construct validity of the Thai version of the job content questionnaire (TJCQ). The present descriptive study recruited 10415 participants from all occupations according to the International Standard Classification of Occupations. The instrument consisted of a 48-item of the job content questionnaire. Eight items newly developed by the authors from in-depth interviews were added. Exploratory factor analysis showed six factor models of work hazards, decision latitude, psychological demand, social support, physical demand, and job security. However, supervisor and co-worker support were not distinguished into two factors and some items distributed differently along the factors extracted. Confirmatory factor analysis supported the construct of six latent factors, although the overall fit was moderately acceptable. Cronbach's alpha coefficients higher than 0.7, supported the internal consistency of TJCQ scales except for job security (0.55). These findings suggest that TJCQ is valid and reliable for assessing job stress among Thai populations.

Job Satisfaction of Nurses in a Regional Hospital in Oman: A Cross-Sectional Survey.

PubMed

Al Maqbali, Mohammed Abdullah

2015-09-01

Job satisfaction has become a critical issue for healthcare organizations, particularly in nursing, because of the shortage of nursing labor, the effect on patient care, and the associated costs. This study explores the factors that influence the level of job satisfaction of nurses working in one regional hospital in Oman. This study aims to measure the job satisfaction of nurses working at a regional hospital in Oman and to determine the factors that most significantly influence this satisfaction. Job satisfaction is measured using the McCloskey/Mueller Satisfaction Scale. In addition, the demographic characteristics of participants (age, gender, level of education, years of experience, marital status, work shift, work unit, and nationality) are obtained to assess potential correlations. A questionnaire survey was used to collect the data, and stratified random sampling was used to recruit potential participants. A cross-sectional survey was used to collect data from 155 participants who worked at one regional hospital in Oman, with survey data analyzed using SPSS version 19. One hundred forty-three valid responses were received (response rate: 92%). The study used descriptive data analysis to address the first research question and used analysis methods such as multiregression analyses, and one-way analysis of variance to identify the relationships between the other variables. The overall mean score for satisfaction was 3.49, indicating that participants had a moderate level of job satisfaction. "Interaction with coworkers" and "extrinsic reward" earned, respectively, the highest and lowest job satisfaction ratings on the subscale of McCloskey/Mueller Satisfaction Scale. The results showed that age, work shift, and nationality each had a statistically significant effect on overall job satisfaction. A multiple regression analysis indicated that 21.8% of the total variance in the dependent variables was explained by being non-Omani in nationality, indicating that that overall job satisfaction was higher in non-Omani nurses than in Omani nurses. The result suggests that professional opportunity and extrinsic reward are two important factors that affect the job satisfaction of nurses in Oman. Addressing these two factors effectively may help improve the quality of nursing care in Oman. Furthermore, this study may be conducted more widely in government hospitals in Oman to validate the identified factors and to identify additional factors that may affect job satisfaction.

Analysis Tools (AT)

Treesearch

Larry J. Gangi

2006-01-01

The FIREMON Analysis Tools program is designed to let the user perform grouped or ungrouped summary calculations of single measurement plot data, or statistical comparisons of grouped or ungrouped plot data taken at different sampling periods. The program allows the user to create reports and graphs, save and print them, or cut and paste them into a word processor....

Omitted Variable Sensitivity Analysis with the Annotated Love Plot

ERIC Educational Resources Information Center

Hansen, Ben B.; Fredrickson, Mark M.

2014-01-01

The goal of this research is to make sensitivity analysis accessible not only to empirical researchers but also to the various stakeholders for whom educational evaluations are conducted. To do this it derives anchors for the omitted variable (OV)-program participation association intrinsically, using the Love plot to present a wide range of…

Technologies for Teaching and Learning about Box Plots and Statistical Analysis

ERIC Educational Resources Information Center

Forster, Patricia A.

2007-01-01

This paper analyses technology-based instruction on data-analysis with box plots. Examples of instruction taken from the research literature inform a study of two classes of 17 year-old students (upper secondary) in which the mathematical relationships that their teachers targeted are distinguished as being, or not being, relevant to statistical…

Importance of the Correlation between Width and Length in the Shape Analysis of Nanorods: Use of a 2D Size Plot To Probe Such a Correlation.

PubMed

Zhao, Zhihua; Zheng, Zhiqin; Roux, Clément; Delmas, Céline; Marty, Jean-Daniel; Kahn, Myrtil L; Mingotaud, Christophe

2016-08-22

Analysis of nanoparticle size through a simple 2D plot is proposed in order to extract the correlation between length and width in a collection or a mixture of anisotropic particles. Compared to the usual statistics on the length associated with a second and independent statistical analysis of the width, this simple plot easily points out the various types of nanoparticles and their (an)isotropy. For each class of nano-objects, the relationship between width and length (i.e., the strong or weak correlations between these two parameters) may suggest information concerning the nucleation/growth processes. It allows one to follow the effect on the shape and size distribution of physical or chemical processes such as simple ripening. Various electron microscopy pictures from the literature or from the authors' own syntheses are used as examples to demonstrate the efficiency and simplicity of the proposed 2D plot combined with a multivariate analysis. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Analysis of empty ATLAS pilot jobs

NASA Astrophysics Data System (ADS)

Love, P. A.; Alef, M.; Dal Pra, S.; Di Girolamo, A.; Forti, A.; Templon, J.; Vamvakopoulos, E.; ATLAS Collaboration

2017-10-01

In this analysis we quantify the wallclock time used by short empty pilot jobs on a number of WLCG compute resources. Pilot factory logs and site batch logs are used to provide independent accounts of the usage. Results show a wide variation of wallclock time used by short jobs depending on the site and queue, and changing with time. For a reference dataset of all jobs in August 2016, the fraction of wallclock time used by empty jobs per studied site ranged from 0.1% to 0.8%. Aside from the wall time used by empty pilots, we also looked at how many pilots were empty as a fraction of all pilots sent. Binning the August dataset into days, empty fractions between 2% and 90% were observed. The higher fractions correlate well with periods of few actual payloads being sent to the site.

Amplitude Analysis of the Decay $$D_s^+ \\to \\pi^+ \\pi^- \\pi^+$$ in the Experiment E831/FOCUS (in Portuguese)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Schilithz, Anderson Correa; /Rio de Janeiro, CBPF

We present in this thesis the Dalitz Plot analysis of the D{sub s}{sup +} {yields} {pi}{sup +}{pi}{sup -}{pi}{sup +} decay, with the data of the E831/FOCUS, that took data in 1996 and 1997. The masses and widhts of f{sub 0}(980) and f{sub 0}(1370) are free parametres of the fit on Dalitz Plot, objectiving to study in detail these resonances. After this analysis we present the Spectator Model study on the S wave in this decay. For this study we used the formalism developed by M. Svec [2] for scattering. We present the comparison between the Isobar Model, frequently used inmore » Dalitz Plot analysis, and this formalism.« less

The association between job strain and coronary heart disease: a meta-analysis of prospective cohort studies.

PubMed

Xu, Shuxian; Huang, Yuli; Xiao, Jiping; Zhu, Wenjing; Wang, Lulu; Tang, Hongfeng; Hu, Yunzhao; Liu, Tiebang

2015-01-01

Studies about work stress and the risk of coronary heart disease (CHD) have yielded inconsistent results. This meta-analysis aimed to investigate the association between job strain and the risk of CHD. We searched PubMed and Embase databases for studies reporting data on job strain and the risk of CHD. Studies were included if they reported multiple-adjusted relative risk (RR) with 95% confidence interval (CI) with respect to CHD from job strain. Fourteen prospective cohort studies comprising 232,767 participants were included. The risk of CHD was increased in high-strain (RR 1.26; 95% CI 1.12-1.41) and passive jobs (RR 1.14; 95% CI 1.02-1.29) but not in active jobs (RR 1.09; 95% CI 0.97-1.22), when compared with low-strain group. The increased risk of CHD in high-strain and passive jobs was mainly driven by studies with a follow-up duration of ≥ 10 years. Neither the low-control (RR 1.06; 95% CI 0.93-1.19) nor high-demand (RR 1.13; 95% CI 0.97-1.32) dimension was independently associated with the risk of CHD. Individuals with high-strain and passive jobs were more likely to experience a CHD event. Intervention programs incorporating individual and organizational levels are crucial for reducing job strain and the risk of CHD.

The reciprocal relationship between sickness presenteeism and psychological distress in response to job stressors: evidence from a three-wave cohort study.

PubMed

Oshio, Takashi; Tsutsumi, Akizumi; Inoue, Akiomi; Suzuki, Tomoko; Miyaki, Koichi

2017-11-25

Sickness presenteeism (SP) is postulated as workers' response to their general state of health; hence, SP is expected to affect workers' future health. In the present study, we examined the reciprocal relationship between SP and health in response to job stressors, with specific reference to psychological distress (PD) as workers' state of health. We conducted mediation analysis, using data from a three-wave cohort occupational survey conducted at 1-year intervals in Japan; it involved 1,853 employees (1,661 men and 192 women) of a manufacturing firm. We measured SP and PD, using the World Health Organization Health and Work Performance Questionnaire and Kessler 6 score, respectively. For job stressors, we considered job demands and control, effort and reward, and procedural and interactional justice. PD mediated 11.5%-36.2% of the impact of job control, reward, and procedural and interactional justice on SP, whereas SP mediated their impact on PD, albeit to a much lesser extent in the range of 3.4%-11.3%. Unlike in the cases of these job stressors related to job resources, neither SP nor PD mediated the impact of job demands or effort. Our results confirmed the reciprocal relationship between SP and PD in response to selected types of job stressors, emphasizing the need for more in-depth analysis of the dynamics of these associations.

Job satisfaction among chain community pharmacists: results from a pilot study

PubMed Central

Hincapie, Ana L.; Yandow, Stephanie; Hines, Stephanie; Martineau, Megan; Warholak, Terri

Objective The objectives of this study were to obtain pilot data concerning the job satisfaction of Tucson area retail chain setting and to identify the facets of community practice that have the greatest contribution to job satisfaction Methods This was a cross-sectional study of chain pharmacists in the Tucson area. The Warr-Cook-Wall questionnaire of job satisfaction was used to evaluate community pharmacists’ satisfaction with their current position. This study used Rasch analysis to assess the validity and reliability of the questionnaire. The Rasch scores obtained for each respondent were used as a dependent variable in univariate and bivariate analyses to evaluate differences in job satisfaction. Results A total of 32 pharmacists responded from 129 chain community pharmacies in the cities of Tucson, Marana and Oro Valley, Arizona. The mean (SD) Rasch score for job satisfaction was 0.93 (2.1). Results from bivariate analysis indicate that pharmacists in the Tucson area with practice experience outside community pharmacy were less satisfied with their job compared to those without experience outside community pharmacy (p<0.01). Conclusions This pilot evaluation suggests that having pharmacy experience outside community practice affects pharmacist job satisfaction. Additionally, findings from this study indicate that there is reliability and validity evidence to support the use of the modified Warr-Cook-Wall questionnaire for assessing overall job satisfaction in chain community pharmacy practice. PMID:24155841

The relationship between cognition, job complexity, and employment duration in first-episode psychosis.

PubMed

Caruana, Emma; Cotton, Susan; Killackey, Eóin; Allott, Kelly

2015-09-01

To investigate the relationship between cognition and employment duration in first-episode psychosis (FEP), and establish if a "fit" between cognition and job complexity is associated with longer employment duration. This study involved secondary data analysis of a subsample of FEP individuals (n = 65) who participated in a randomized controlled trial comparing Individual Placement and Support plus treatment as usual (TAU), versus TAU alone, over 6 months. A cognitive battery was administered at baseline and employment duration (hours) and job complexity in the longest held job over 6 months were measured. Factor analysis with promax rotation of the cognitive battery revealed 4 cognitive domains: (a) attention and processing speed; (b) verbal learning and memory; (c) verbal comprehension and fluency; and (d) visual organization and memory (VO&M). The final hierarchical regression model found that VO&M and job complexity independently predicted employment duration in longest held job; however, the "fit" (or interaction) between VO&M and job complexity was not significant. These findings suggest that VO&M and job complexity are important predictors of employment duration, but it is not necessary to ensure VO&M ability matches job complexity. However, there are limited comparative studies in this area, and other aspects of the person-organization fit perspective may still be useful to optimize vocational outcomes in FEP. (c) 2015 APA, all rights reserved).

Are the most dedicated nurses more vulnerable to job insecurity? Age-specific analyses on family-related outcomes.

PubMed

Ruokolainen, Mervi; Mauno, Saija; Cheng, Ting

2014-11-01

To examine the moderating roles of job dedication and age in the job insecurity-family-related well-being relationship. As job insecurity is a rather permanent stressor among nurses nowadays, more research is needed on the buffering factors alleviating its negative effects on well-being. A total of 1719 Finnish nurses representing numerous health care organisations participated in this cross-sectional study. Moderated hierarchical regression analysis was used to examine the associations. Nurses' younger age and low job dedication operated as protective factors against the negative effect of high job insecurity on parental satisfaction. The effect of job dedication on family-related well-being was also age-specific: high job dedication protected younger nurses from the negative effect of job insecurity on work-family conflict and parental stress, whereas among older nurses those who reported low job dedication showed better well-being in the presence of high job insecurity. The most job-dedicated nurses were more vulnerable to job insecurity in relation to parental satisfaction. In addition, high job dedication combined with high age implied more work-family conflict and parental stress in the presence of high job insecurity. Managers should seek to boost younger nurses' job dedication and to prevent older nurses' over-commitment. © 2013 John Wiley & Sons Ltd.

Assessing public health job portals over the internet.

PubMed

Joshi, Ashish; Mirza, Attiqa; McFarlane, Kim; Amadi, Chioma

2016-09-01

The objective of our study was to search existing public health job websites over the internet and describe the challenges related to finding these job websites. An internet search was conducted using different search engines, including Google, Yahoo and Bing, with several keywords including: Public Health Jobs, Epidemiology Jobs, Biostatistics Jobs, Health Policy and Management Jobs, Community Health Jobs, Health Administration Jobs, Nutrition Jobs, Environmental and Occupational Health Science Jobs, GIS Jobs, and Public Health Informatics Jobs. We recorded the first 20 websites that appeared in the results of each keyword search, thus generating 600 URLs. Duplicate sites and non-functional sites were excluded from this search, allowing analysis of unique sites only. The initial search resulted in 600 websites of which there were 470 duplicates. More than half of the website categories were ".com" (54%; n = 323) followed by ".gov" (19%; n = 111) and ".edu" 15% (n = 90). Results of our findings showed 194 unique websites resulting from a search of 600 website links. More than half of them had actual public health or its related jobs (56%; n = 108). There is a need to establish standard occupational classification categories for the public health workforce. © Royal Society for Public Health 2016.

[Buffering effect of social support in the workplace on job strain and depressive symptoms].

PubMed

Komatsu, Yuki; Kai, Yuko; Nagamatsu, Toshiya; Shiwa, Tadashi; Suyama, Yasuo; Sugimoto, Masako

2010-01-01

The present study examined the buffering effect of social support in the workplace on job strain and depressive symptoms by conducting a cross-sectional survey using a self-report. The subjects were 712 employees (male, over 40 yr old) who worked at a precision machine factory. The questionnaire determined the subjects, ages, types of occupation, scores of depressive symptoms, job strain (job demand and job control), and social support (supervisor support and coworker support). Job strain and social support were evaluated by the Job Content Questionnaire (JCQ). The Center for Epidemiologic Studies Depression Scale (CES-D) score was measured and depressive symptoms were defined as a CES-D score > or = 16 point. Job strain and social support were calculated and divided into low-score groups (LG) and high-score groups (HG), respectively, by the median value. The mean values of CES-D in the LG and HG of job strain or social support were compared by the t-test. The hierarchical multiple regression was analyzed with the CES-D score as the dependent variable and by the characteristics of the participants, job strain and social support, and the cross-product interaction term of job strain and social support as independent variables. The effect of the degree of social support in the LG and HG of job strain on the CES-D score was evaluated by analysis of covariance adjusted for age. The results showed that 23.2% of the workers had depressive symptoms, and that, the CES-D scores in the job demand group were significantly higher in HG than in LG. The CES-D scores in the job control, supervisor support, and coworker support groups were significantly higher in LG than in HG. The hierarchical multiple regression analysis showed that job demand, job control, supervisor support, and coworker support had significant main effects on the CES-D score. Furthermore, it was shown that there was a significant interaction in the CES-D score between job control and supervisor support, and that, the CES-D score in the supervisor support group was significantly higher in LG than that in HG only when job control was low. These results suggest that supervisor support may have the effect of buffering depressive symptoms related to low job control.

Landscape complexity and soil moisture variation in south Georgia, USA, for remote sensing applications

NASA Astrophysics Data System (ADS)

Giraldo, Mario A.; Bosch, David; Madden, Marguerite; Usery, Lynn; Kvien, Craig

2008-08-01

SummaryThis research addressed the temporal and spatial variation of soil moisture (SM) in a heterogeneous landscape. The research objective was to investigate soil moisture variation in eight homogeneous 30 by 30 m plots, similar to the pixel size of a Landsat Thematic Mapper (TM) or Enhanced Thematic Mapper plus (ETM+) image. The plots were adjacent to eight stations of an in situ soil moisture network operated by the United States Department of Agriculture-Agriculture Research Service USDA-ARS in Tifton, GA. We also studied five adjacent agricultural fields to examine the effect of different landuses/land covers (LULC) (grass, orchard, peanuts, cotton and bare soil) on the temporal and spatial variation of soil moisture. Soil moisture field data were collected on eight occasions throughout 2005 and January 2006 to establish comparisons within and among eight homogeneous plots. Consistently throughout time, analysis of variance (ANOVA) showed high variation in the soil moisture behavior among the plots and high homogeneity in the soil moisture behavior within them. A precipitation analysis for the eight sampling dates throughout the year 2005 showed similar rainfall conditions for the eight study plots. Therefore, soil moisture variation among locations was explained by in situ local conditions. Temporal stability geostatistical analysis showed that soil moisture has high temporal stability within the small plots and that a single point reading can be used to monitor soil moisture status for the plot within a maximum 3% volume/volume (v/v) soil moisture variation. Similarly, t-statistic analysis showed that soil moisture status in the upper soil layer changes within 24 h. We found statistical differences in the soil moisture between the different LULC in the agricultural fields as well as statistical differences between these fields and the adjacent 30 by 30 m plots. From this analysis, it was demonstrated that spatial proximity is not enough to produce similar soil moisture, since t-test's among adjacent plots with different LULCs showed significant differences. These results confirm that a remote sensing approach that considers homogeneous LULC landscape fragments can be used to identify landscape units of similar soil moisture behavior under heterogeneous landscapes. In addition, the in situ USDA-ARS network will serve better in remote sensing studies in which sensors with fine spatial resolution are evaluated. This study is a first step towards identifying landscape units that can be monitored using the single point reading of the USDA-ARS stations network.

Landscape complexity and soil moisture variation in south Georgia, USA, for remote sensing applications

USGS Publications Warehouse

Giraldo, M.A.; Bosch, D.; Madden, M.; Usery, L.; Kvien, Craig

2008-01-01

This research addressed the temporal and spatial variation of soil moisture (SM) in a heterogeneous landscape. The research objective was to investigate soil moisture variation in eight homogeneous 30 by 30 m plots, similar to the pixel size of a Landsat Thematic Mapper (TM) or Enhanced Thematic Mapper plus (ETM+) image. The plots were adjacent to eight stations of an in situ soil moisture network operated by the United States Department of Agriculture-Agriculture Research Service USDA-ARS in Tifton, GA. We also studied five adjacent agricultural fields to examine the effect of different landuses/land covers (LULC) (grass, orchard, peanuts, cotton and bare soil) on the temporal and spatial variation of soil moisture. Soil moisture field data were collected on eight occasions throughout 2005 and January 2006 to establish comparisons within and among eight homogeneous plots. Consistently throughout time, analysis of variance (ANOVA) showed high variation in the soil moisture behavior among the plots and high homogeneity in the soil moisture behavior within them. A precipitation analysis for the eight sampling dates throughout the year 2005 showed similar rainfall conditions for the eight study plots. Therefore, soil moisture variation among locations was explained by in situ local conditions. Temporal stability geostatistical analysis showed that soil moisture has high temporal stability within the small plots and that a single point reading can be used to monitor soil moisture status for the plot within a maximum 3% volume/volume (v/v) soil moisture variation. Similarly, t-statistic analysis showed that soil moisture status in the upper soil layer changes within 24 h. We found statistical differences in the soil moisture between the different LULC in the agricultural fields as well as statistical differences between these fields and the adjacent 30 by 30 m plots. From this analysis, it was demonstrated that spatial proximity is not enough to produce similar soil moisture, since t-test's among adjacent plots with different LULCs showed significant differences. These results confirm that a remote sensing approach that considers homogeneous LULC landscape fragments can be used to identify landscape units of similar soil moisture behavior under heterogeneous landscapes. In addition, the in situ USDA-ARS network will serve better in remote sensing studies in which sensors with fine spatial resolution are evaluated. This study is a first step towards identifying landscape units that can be monitored using the single point reading of the USDA-ARS stations network. ?? 2008 Elsevier B.V.

Automated mesostructural analyses using GIS, Beta test: Paleozoic structures from the New Jersey Great Valley region

DOE Office of Scientific and Technical Information (OSTI.GOV)

Herman, G.C.; French, M.A.; Monteverde, D.H.

1993-03-01

An automated method has been developed for representing outcrop data on geologic structures on maps. Using a MS-DOS custom database management system in conjunction with the ARC/INFO Geographic Information System (GIS), trends of geologic structures are plotted with user-specific symbols. The length of structural symbols can be frequency-weighted based on collective values from structural domains. The PC-based data manager is the NJGS Field data Management System (FMS) Version 2.0 which includes sort, output, and analysis functions for structural data input in either azimuth or quadrant form. Program options include lineament sorting, data output to other data management and analysis software,more » and a circular histogram (rose diagram) routine for trend frequency analysis. Trends can be displayed with either half-or full-rose diagrams using either 10[degree] sectors or one degree spikes for strike, trend, or dip azimuth readings. Scalar and vector statistics are both included. For the mesostructural analysis, ASCII files containing the station number, structural trend and inclination, and plot-symbol-length value are downloaded from FMS and uploaded into an ARC/INFO macro which sequentially plots the information. Plots can be generated in conjunction with any complimentary GIS coverage for various types of spatial analyses. Mesostructural plots can be used for regional tectonic analyses, for hydrogeologic analysis of fractured bedrock aquifers, or for ground-truthing data from fracture-trace or lineament analyses.« less

A technique for identifying treatment opportunities from western Oregon and Washington forest survey plots.

Treesearch

Colin D. MacLean

1980-01-01

Identification of opportunities for silvicultural treatment from inventory data is an important objective of Renewable Resources Evaluation in the Pacific Northwest. This paper describes the field plot design and data analysis procedure used by what used to be known as Forest Survey to determine the treatment opportunity associated with each inventory plot in western...

Field methods and data processing techniques associated with mapped inventory plots

Treesearch

William A. Bechtold; Stanley J. Zarnoch

1999-01-01

The U.S. Forest Inventory and Analysis (FIA) and Forest Health Monitoring (FHM) programs utilize a fixed-area mapped-plot design as the national standard for extensive forest inventories. The mapped-plot design is explained, as well as the rationale for its selection as the national standard. Ratio-of-means estimators am presented as a method to process data from...

Access and Use of FIA Data Through FIA Spatial Data Services

Treesearch

Elizabeth LaPoint

2005-01-01

Forest Inventory and Analysis (FIA) Spatial Data Services (SDS) was established in May 2002 to facilitate outside access to FIA data and allow use of georeferenced plot data while protecting the confidentiality of plot locations. Modification of the Food Security Act of 1985 legislated the protection of information on plot location and ownership. Penalties were put in...

Development of carbon response trajectories using FIA plot data and FVS growth simulator: challenges of a large scale simulation project

Treesearch

James B. McCarter; Sean Healey

2015-01-01

The Forest Carbon Management Framework (ForCaMF) integrates Forest Inventory and Analysis (FIA) plot inventory data, disturbance histories, and carbon response trajectories to develop estimates of disturbance and management effects on carbon pools for the National Forest System. All appropriate FIA inventory plots are simulated using the Forest Vegetation Simulator (...

Accuracy assessment of the vegetation continuous field tree cover product using 3954 ground plots in the southwestern USA

Treesearch

M. A. White; J. D. Shaw; R. D. Ramsey

2005-01-01

An accuracy assessment of the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation continuous field (VCF) tree cover product using two independent ground-based tree cover databases was conducted. Ground data included 1176 Forest Inventory and Analysis (FIA) plots for Arizona and 2778 Southwest Regional GAP (SWReGAP) plots for Utah and western Colorado....

[Association between Emotional Labor, Emotional Dissonance, Burnout and Turnover Intention in Clinical Nurses: A Multiple-Group Path Analysis across Job Satisfaction].

PubMed

Back, Chi Yun; Hyun, Dae Sung; Chang, Sei Jin

2017-12-01

This study was conducted to investigate the influence of emotional labor, emotional dissonance, and burnout on nurse's turnover intention and examine the effect of job satisfaction on the relationships among emotional labor, emotional dissonance, burnout, and turnover intention. The sample consisted of 350 nurses recruited from 6 general hospitals in 2 cities in Korea. A multiple-group analysis was utilized. Data were analyzed using SPSS statistics 23 and AMOS 20. In the path analysis, turnover intention was directly related to burnout in clinical nurses who had a high job satisfaction (β=.24, p=.003), while it was indirectly related to emotional dissonance (β=.13, p=.002). In the multiple-group path analysis, turnover intention was directly related to emotional dissonance (β=.18, p=.033) and burnout (β=.26, p=.002) for nurses with low job satisfaction. These results indicate that manuals and guidelines to alleviate the negative effects of emotional labor, emotional dissonance, and burnout, and to increase job satisfaction are strongly required to reduce turnover intention in nurses at the organizational level as well as at the individual level. © 2017 Korean Society of Nursing Science

Self-serving bias effects on job analysis ratings.

PubMed

Cucina, Jeffrey M; Martin, Nicholas R; Vasilopoulos, Nicholas L; Thibodeuax, Henry F

2012-01-01

The purpose of this study was to investigate whether worker-oriented job analysis importance ratings were influenced by subject matter experts' (SME) standing (as measured by self-rated performance) on a competency. This type of relationship (whereby SMEs indicate that the traits they have are important for successful job performance) is an example of the self-serving bias (which is widely described in the social cognition literature and rarely described in the industrial/organizational psychology literature). An archival dataset covering 57 clerical and technical occupations with 26,682 participants was used. Support was found for the relationship between self-rated performance and importance ratings. Significant relationships (typically in the .30s) were observed for all 31 competencies that were studied. Controls were taken to account for common method bias and differences in the competencies required for each of the 57 occupations. Past research has demonstrated the effects of the self-serving bias on personality-based job analysis ratings. This study was the first to extend these findings to traditional job analysis, which covers other competencies in addition to personality. In addition, this study is the first to use operational field data instead of laboratory data.

Comparative study of Poincaré plot analysis using short electroencephalogram signals during anaesthesia with spectral edge frequency 95 and bispectral index.

PubMed

Hayashi, K; Yamada, T; Sawa, T

2015-03-01

The return or Poincaré plot is a non-linear analytical approach in a two-dimensional plane, where a timed signal is plotted against itself after a time delay. Its scatter pattern reflects the randomness and variability in the signals. Quantification of a Poincaré plot of the electroencephalogram has potential to determine anaesthesia depth. We quantified the degree of dispersion (i.e. standard deviation, SD) along the diagonal line of the electroencephalogram-Poincaré plot (named as SD1/SD2), and compared SD1/SD2 values with spectral edge frequency 95 (SEF95) and bispectral index values. The regression analysis showed a tight linear regression equation with a coefficient of determination (R(2) ) value of 0.904 (p < 0.0001) between the Poincaré index (SD1/SD2) and SEF95, and a moderate linear regression equation between SD1/SD2 and bispectral index (R(2)  = 0.346, p < 0.0001). Quantification of the Poincaré plot tightly correlates with SEF95, reflecting anaesthesia-dependent changes in electroencephalogram oscillation. © 2014 The Association of Anaesthetists of Great Britain and Ireland.

Impacts of Return-to-Work Type and Period on Job Retention in Workers with Occupational Injuries and Diseases

PubMed Central

2017-01-01

Background Despite the necessity of job retention in achieving return-to-work (RTW) goals, many workers leave their jobs after returning to work. The objective of this study was to examine the impacts of RTW type and period on job retention in Korean workers with occupational injuries and diseases. Methods Data were derived from the Panel Study of Worker's Compensation Insurance, including data from 2,000 systemically sampled workers who had finished recuperation in 2012; three waves of survey data were included in the analyses. Workers who returned to work (n = 1,610) were included in the analysis of the relationship between RTW type and job retention, and 664 workers who returned to their original workplaces were included in the analysis of the relationship between RTW period and job retention. The participants completed a questionnaire, and administrative data were provided by workers' compensation insurance. Results A Cox proportional-hazards regression analysis showed an increased hazard ratio (HR) for non-retention of 2.66 (95% confidence interval, 2.11–3.35) in reemployed workers compared to that in workers returning to their original workplaces. Among workers returning to their original workplaces, HRs for non-retention were increased in workers with a RTW period of 13–24 months (3.03 [1.52–6.04]) and > 24 months (5.33 [2.14–13.25]) compared to workers with a RTW period of ≤ 3 months. Conclusion RTW type and period were significantly related to job retention, suggesting that policies for promoting job retention rate should be implemented. PMID:29215811

Impacts of Return-to-Work Type and Period on Job Retention in Workers with Occupational Injuries and Diseases.

PubMed

Jeong, Inchul; Park, Jae Bum; Kim, Hyoung Ryoul; Yoon, Jin Ha; Won, Jong Uk; Roh, Jaehoon

2018-01-01

Despite the necessity of job retention in achieving return-to-work (RTW) goals, many workers leave their jobs after returning to work. The objective of this study was to examine the impacts of RTW type and period on job retention in Korean workers with occupational injuries and diseases. Data were derived from the Panel Study of Worker's Compensation Insurance, including data from 2,000 systemically sampled workers who had finished recuperation in 2012; three waves of survey data were included in the analyses. Workers who returned to work (n = 1,610) were included in the analysis of the relationship between RTW type and job retention, and 664 workers who returned to their original workplaces were included in the analysis of the relationship between RTW period and job retention. The participants completed a questionnaire, and administrative data were provided by workers' compensation insurance. A Cox proportional-hazards regression analysis showed an increased hazard ratio (HR) for non-retention of 2.66 (95% confidence interval, 2.11-3.35) in reemployed workers compared to that in workers returning to their original workplaces. Among workers returning to their original workplaces, HRs for non-retention were increased in workers with a RTW period of 13-24 months (3.03 [1.52-6.04]) and > 24 months (5.33 [2.14-13.25]) compared to workers with a RTW period of ≤ 3 months. RTW type and period were significantly related to job retention, suggesting that policies for promoting job retention rate should be implemented. © 2018 The Korean Academy of Medical Sciences.

Psychosocial job stressors and suicidality: a meta-analysis and systematic review.

PubMed

Milner, Allison; Witt, Katrina; LaMontagne, Anthony D; Niedhammer, Isabelle

2018-04-01

Job stressors are known determinants of common mental disorders. Over the past 10 years, there has been evidence that job stressors may also be risk factors for suicidality. The current paper sought to examine this topic through the first comprehensive systematic review and meta-analysis of the literature to date. We used a three-tier search strategy of seven electronic databases. Studies were included if they reported on a job stressor or job-related stress as an exposure and suicide ideation, self-harm, suicide attempt or suicide as an outcome. Two researchers independently screened articles. All extracted effect estimates were converted to log-transformed ORs. There were 22 studies that were included in meta-analysis. Overall, exposure to job stressors was associated with elevated risk of suicide ideation and behaviours. The OR for suicide ideation (14 studies) ranged from 1.45 (95% CI 1.01 to 2.08) for poor supervisor and colleague support to 1.91 (95% CI 1.22 to 2.99) for job insecurity. For suicide (six studies), exposure to lower supervisor and collegial support produced an OR of 1.16 (95% CI 0.98 to 1.38), while low job control resulted in an OR of 1.23 (95% CI 1.00 to 1.50). There were only two studies that examined suicide attempt, both of which suggested an adverse effect of exposure to job stressors. This study provides some evidence that job stressors may be related to suicidal outcomes. However, as most studies in the area were cross-sectional and observational in design, there is a need for longitudinal research to assess the robustness of observed associations. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Factors influencing job satisfaction in post-transition economies: the case of the Czech Republic.

PubMed

Čábelková, Inna; Abrhám, Josef; Strielkowski, Wadim

2015-01-01

This paper presents an analysis of factors influencing job satisfaction in post-transition economies on the example of the Czech Republic. Our research shows that women reported higher levels of job satisfaction compared to men. Education proved to be statistically significant in one of three indicators of job satisfaction. Personal income and workplace relationships proved to be positively and significantly related to all the three indicators of job satisfaction. Most of the occupational dummies were significantly related to two out of three indicators of job satisfaction. In addition, we found that Czech entrepreneurs enjoy and value their job, which indicates strong self-selection for doing business in post-transition economies. However, human capital expressed by the level of education was significant factor for job satisfaction, meaning that well-educated people might not be satisfied with their jobs or feel that their education and experience are wasted in the market economy.

The Separate Constructs of Communication Satisfaction and Job Satisfaction.

ERIC Educational Resources Information Center

Gregson, Terry

1991-01-01

A random sample of 889 certified public accountants was administered modified versions of the Job Descriptive Index and the Downs and Hazen Communication Satisfaction Questionnaire. There were 310 (35 percent) usable questionnaires returned. Factor analysis indicated that the accountants viewed job satisfaction and communication satisfaction as…

Longitudinal Job Satisfaction of Persons in Supported Employment.

ERIC Educational Resources Information Center

Test, David W.; Carver, Tonya; Ewers, Lisa; Haddad, Jennifer; Person, Julie

2000-01-01

This longitudinal study examined satisfaction with supported employment jobs and services with 32 disabled individuals receiving services between 1992 and 1997. Analysis of interview data indicates participants were consistently satisfied with both their chosen supported employment jobs (including the work, friendships made, and money earned) and…

The Multivariate Nature of Professional Job Satisfaction.

ERIC Educational Resources Information Center

Wood, Donald A.; LeBold, William K.

Discussed are two theories of professional job satisfaction--(1) unidimensional and (2) multidimensional with special reference to Herzberg's two factor theory. A national sample of over 3,000 engineering graduates responded to a questionnaire and satisfaction index. Analysis of results revealed that job satisfaction is multidimensional. Job…

Socio-Technical Systems Analysis and Manufacturing Technology: Addressing "Big Brother" and Computers in Blue-Collar Work.

ERIC Educational Resources Information Center

Taylor, James C.

For more than 80 years, jobs in the United States have been designed by people for others. For most of these years, the experts in job design have placed the production technology above the job holder in importance. Since the 1950s, many jobs have been redesigned around new, computer-based technology. Often, the net effect has been to make those…

Is the Job Satisfaction Survey a good tool to measure job satisfaction amongst health workers in Nepal? Results of a validation analysis.

PubMed

Batura, Neha; Skordis-Worrall, Jolene; Thapa, Rita; Basnyat, Regina; Morrison, Joanna

2016-07-27

Job satisfaction is an important predictor of an individual's intention to leave the workplace. It is increasingly being used to consider the retention of health workers in low-income countries. However, the determinants of job satisfaction vary in different contexts, and it is important to use measurement methods that are contextually appropriate. We identified a measurement tool developed by Paul Spector, and used mixed methods to assess its validity and reliability in measuring job satisfaction among maternal and newborn health workers (MNHWs) in government facilities in rural Nepal. We administered the tool to 137 MNHWs and collected qualitative data from 78 MNHWs, and district and central level stakeholders to explore definitions of job satisfaction and factors that affected it. We calculated a job satisfaction index for all MNHWs using quantitative data and tested for validity, reliability and sensitivity. We conducted qualitative content analysis and compared the job satisfaction indices with qualitative data. Results from the internal consistency tests offer encouraging evidence of the validity, reliability and sensitivity of the tool. Overall, the job satisfaction indices reflected the qualitative data. The tool was able to distinguish levels of job satisfaction among MNHWs. However, the work environment and promotion dimensions of the tool did not adequately reflect local conditions. Further, community fit was found to impact job satisfaction but was not captured by the tool. The relatively high incidence of missing responses may suggest that responding to some statements was perceived as risky. Our findings indicate that the adapted job satisfaction survey was able to measure job satisfaction in Nepal. However, it did not include key contextual factors affecting job satisfaction of MNHWs, and as such may have been less sensitive than a more inclusive measure. The findings suggest that this tool can be used in similar settings and populations, with the addition of statements reflecting the nature of the work environment and structure of the local health system. Qualitative data on job satisfaction should be collected before using the tool in a new context, to highlight any locally relevant dimensions of job satisfaction not already captured in the standard survey.

Job satisfaction among Australian doctors: the use of latent class analysis.

PubMed

Joyce, Catherine; Wang, Wei Chun

2015-10-01

To identify patterns of job satisfaction among Australian doctors using latent class analysis, and to determine the relationships of these patterns to personal and professional characteristics so as to improve satisfaction and minimize medical wastage. MABEL (Medicine in Australia: Balancing Employment and Life) data in 2011 were used. The study collected information on 5764 doctors about their job satisfaction, demographic characteristics, their health, country of medical training, opportunities for professional development and social interaction, taking time off work, views of patients' expectations, unpredictable working hours, hours worked per week, preference to reduce hours and intention to leave the medical workforce. Four latent classes of job satisfaction were identified: 5.8% had high job satisfaction; 19.4% had low satisfaction with working hours; 16.1% had high satisfaction with working hours but felt undervalued; and 6.5% had low job satisfaction. Low job satisfaction was associated with reporting poor health, having trained outside Australia, having poor opportunities for professional development and working longer hours. Low satisfaction was associated with a preference to reduce work hours and an intention to leave the medical workforce. To improve job satisfaction and minimize medical wastage, policies need to address needs of overseas trained doctors, provide continuing professional development and provide good health care for doctors. © The Author(s) 2015.

Quits and job changes among home care workers in Maine: the role of wages, hours, and benefits.

PubMed

Morris, Lisa

2009-10-01

Figuring out how to make home care jobs more attractive has become a top policy priority. This study investigates the impact of wages, hours, and benefits on the retention of home care workers. Using a 2-wave survey design and a sample of home care workers from Maine, the factors associated with turnover intentions, actual turnover, and job-to-job transitions are examined. The analysis uses actual data on hours, wages, and benefits at current and subsequent jobs and controls for perceived rewards and work conditions, personal characteristics, and local labor market conditions. Although the analysis finds that improved work conditions and non-pecuniary rewards of home-based direct care work have significant negative effects on turnover intentions, compensation accounts for more actual job turnover. Higher wages, more hours, and travel cost reimbursement are found to be significantly associated with reduced turnover. Although wages and hours appear to have stronger effects, health benefits do appear to have some significance in predicting job-to-job transitions. Although improving compensation presents budgetary challenges to home care agencies, for this low-income workforce, the ability to earn higher wages and work more hours may be more of an imperative than improved work conditions.

Intelligence Constraints on Terrorist Network Plots

NASA Astrophysics Data System (ADS)

Woo, Gordon

Since 9/11, the western intelligence and law enforcement services have managed to interdict the great majority of planned attacks against their home countries. Network analysis shows that there are important intelligence constraints on the number and complexity of terrorist plots. If two many terrorists are involved in plots at a given time, a tipping point is reached whereby it becomes progressively easier for the dots to be joined and for the conspirators to be arrested, and for the aggregate evidence to secure convictions. Implications of this analysis are presented for the campaign to win hearts and minds.

Grassland degradation caused by tourism activities in Hulunbuir, Inner Mongolia, China

NASA Astrophysics Data System (ADS)

Le, C.; Ikazaki, K.; Siriguleng; Kadono, A.; Kosaki, T.

2014-02-01

The recent increase in the number of tourists has raised serious concerns about grassland degradation by tourism activities in Inner Mongolia. Thus, we evaluated the effects of tourism activities on the vegetation and soil in Hulunbuir grassland. We identified all the plant species, measured the number and height of plant and plant coverage rate, and calculated species diversity, estimated above-ground biomass in use plot and non-use plot. We also measured soil hardness, and collected soil samples for physical and chemical analysis in both plots. The obtained results were as follows: a) the height of the dominant plants, plant coverage rate, species diversity, and above-ground biomass were significantly lower in use plot than in non-use plot, b) Carex duriuscula C.A.Mey., indicator plant for soil degradation, was dominant in use plot, c) soil hardness was significantly higher in use plot than in non-use plot, and spatial dependence of soil hardness was only found in the use plot, d) CEC, TC, TN and pH in the topsoil were significantly lower in use plot than non-use plot. On the basis of the results, we concluded that the tourism activities can be another major cause of the grassland degradation in Inner Mongolia.

An Analysis of the Plumbing Occupation.

ERIC Educational Resources Information Center

Carlton, Earnest L.; Hollar, Charles E.

The occupational analysis contains a brief job description, presenting for the occupation of plumbing 12 detailed task statements which specify job duties (tools, equipment, materials, objects acted upon, performance knowledge, safety considerations/hazards, decisions, cues, and errors) and learning skills (science, mathematics/number systems, and…

Analysis of the Medical Assisting Occupation.

ERIC Educational Resources Information Center

Keir, Lucille; And Others

The occupational analysis contains a brief job description, presenting for the occupation of medical assistant 113 detailed task statements which specify job duties (tools, equipment, materials, objects acted upon, performance knowledge, safety consideration/hazards, decisions, cues, and errors) and learning skills (science, mathematics/number…

Responses to Three USARIEM Job Analysis Questionnaires (JAQ’s) Conducted with Cannon Crewmembers and Fire Support Specialists (MOS’s 13B and 13F)

DTIC Science & Technology

2016-10-26

U.S. Army Research Institute of Environmental Medicine (USARIEM) designed and conducted a total of three web - administered job analysis...for seven of the Army’s most physically demanding jobs, researchers from the USARIEM and Human Performance Systems, Inc. designed three web ...quality of some item responses. 3) This survey was web -administered, and thus participants had limited opportunity to seek feedback about question

Using Data Analysis to Explore Class Enrollment.

ERIC Educational Resources Information Center

Davis, Gretchen

1990-01-01

Describes classroom activities and shows that statistics is a practical tool for solving real problems. Presents a histogram, a stem plot, and a box plot to compare data involving class enrollments. (YP)

Empowering leadership and job crafting: The role of employee optimism.

PubMed

Thun, Sylvi; Bakker, Arnold B

2018-06-08

The objective of this study was to test the relationship between empowering leadership and job crafting and to examine the moderating role of optimism as a personal resource. We hypothesized that the association between empowering leadership and job crafting would be stronger for employees with high (vs. low) levels of optimism. A total of 331 Norwegian workers from a variety of occupations participated in our study. Results of structural equation modelling analysis generally supported our hypotheses. Empowering leadership was positively related to 3 of the 4 job crafting strategies investigated (increasing structural job resources, increasing social job resources, and increasing challenging job demands; but not reducing hindrance job demands). Moreover, as hypothesized, optimism strengthened the empowering leadership-job crafting relationship for increasing structural resources and increasing challenging demands. The results suggest that empowering leadership is an important antecedent of job crafting strategies, except for reducing hindrance demands. The implications of these findings are discussed. Copyright © 2018 John Wiley & Sons, Ltd.

Junior College Faculty Job Satisfaction.

ERIC Educational Resources Information Center

Frankel, Joanne

Some of the research done to date concerning job satisfaction of junior college faculty is reviewed in this "Brief." Part I of the "Brief" describes four frameworks that have been applied to the analysis of job satisfaction: the traditional approach, the two-factor approach, the need hierarchy, and the cognitive dissonance approach. Part II…

Personality Traits Associated with Occupational "Burnout" in ABA Therapists

ERIC Educational Resources Information Center

Hurt, Amy A.; Grist, Cathy Lann; Malesky, Lann A., Jr.; McCord, David M.

2013-01-01

Background: Applied behaviour analysis (ABA) therapists typically work one-to-one with children with autism for extended periods of time, which often leads to high levels of job-related stress, lower levels of job satisfaction, increased frequency of occupational "burnout" and higher than average job turnover (Journal of Autism…

Academic Advisors and Their Diverse Advisees: Towards More Ethical Global Universities

ERIC Educational Resources Information Center

Lee, Yuko Ikegami; Metcalfe, Amy Scott

2017-01-01

In this comparative content analysis, job postings for academic advising personnel from U.S. and Canadian higher education institutions were examined to ascertain expectations for job candidates in terms of skills and duties, educational requirements, and compensation. Fifty-three job descriptions from 18 research-intensive, public universities…

Identification of HVAC (Heating, Ventilating, and Air Conditioning) Deficiencies Using Analysis of Job Order Data

DTIC Science & Technology

1989-09-01

Maintenance Evaluation Team ( MEMET ), stated, in his booklet To Aspire For Excellence, the need for emphasis on product- oriented performance (3:17). Existing...JOAGE - Job Order/Facility Age JOSF - Job Order/Facility Square Feet LSD - Least Significant Difference MEMET - Mechanical Equipment Maintenance

The Effect of Race on Determinants of Job Satisfaction.

DTIC Science & Technology

1985-12-01

satisfaction was disputed by Konar. Konar claimed that Moch’s inability to demonstrate that cultural, organizational, social and social psychological factors...effect of race * as a determinant of an individual’s job satisfaction. Analysis of the effect of gender on the determinantion of job satisfaction may

A Theoretical Analysis of Faculty Job Satisfaction/Dissatisfaction.

ERIC Educational Resources Information Center

Hill, Malcolm

1987-01-01

This study examines the issue of job satisfaction of college faculty from the perspective of Herzberg's "two-factor" theory and assesses the utility of the theory. Data from 1,089 full-time faculty in 20 college and university campuses supports that "intrinsic" factors contribute primarily to job satisfaction. (Author/LMO)

Job Satisfaction of High School Journalism Educators.

ERIC Educational Resources Information Center

Dvorak, Jack; Phillips, Kay D.

Four research questions are posed to explore the job satisfaction of high school journalism educators. A national random sample of 669 respondents shows that journalism educators are generally satisfied with their jobs--more so than teachers in other disciplines. Multiple regression analysis using Herzberg's motivation-hygiene theory as a…

New Projections to 1995.

ERIC Educational Resources Information Center

Occupational Outlook Quarterly, 1986

1986-01-01

Projections of job outlook result from analysis of the economy, including labor force, consumer, and government spending trends. This article looks at expected changes in such factors and shows how they affect job prospects. Includes lists of the fastest growing occupations and the occupations that will provide the most new jobs between now and…

Predicting Teacher Job Satisfaction Based on Principals' Instructional Supervision Behaviours: A Study of Turkish Teachers

ERIC Educational Resources Information Center

Ilgan, Abdurrahman; Parylo, Oksana; Sungu, Hilmi

2015-01-01

This quantitative research examined instructional supervision behaviours of school principals as a predictor of teacher job satisfaction through the analysis of Turkish teachers' perceptions of principals' instructional supervision behaviours. There was a statistically significant difference found between the teachers' job satisfaction level and…

Job rotation and internal marketing for increased job satisfaction and organisational commitment in hospital nursing staff.

PubMed

Chen, Su-Yueh; Wu, Wen-Chuan; Chang, Ching-Sheng; Lin, Chia-Tzu

2015-04-01

To develop or enhance the job satisfaction and organisational commitment of nurses by implementing job rotation and internal marketing practices. No studies in the nursing management literature have addressed the integrated relationships among job rotation, internal marketing, job satisfaction and organisational commitment. This cross-sectional study included 266 registered nurses (response rate 81.8%) in two southern Taiwan hospitals. Software used for data analysis were SPSS 14.0 and AMOS 14.0 (structural equation modelling). Job rotation and internal marketing positively affect the job satisfaction and organisational commitment of nurses, and their job satisfaction positively affects their organisational commitment. Job rotation and internal marketing are effective strategies for improving nursing workforce utilisation in health-care organisations because they help to achieve the ultimate goals of increasing the job satisfaction of nurses and encouraging them to continue working in the field. This in turn limits the vicious cycle of high turnover and low morale in organisations, which wastes valuable human resources. Job rotation and internal marketing help nursing personnel acquire knowledge, skills and insights while simultaneously improving their job satisfaction and organisational commitment. © 2013 John Wiley & Sons Ltd.

Visualizing the deep end of sound: plotting multi-parameter results from infrasound data analysis

NASA Astrophysics Data System (ADS)

Perttu, A. B.; Taisne, B.

2016-12-01

Infrasound is sound below the threshold of human hearing: approximately 20 Hz. The field of infrasound research, like other waveform based fields relies on several standard processing methods and data visualizations, including waveform plots and spectrograms. The installation of the International Monitoring System (IMS) global network of infrasound arrays, contributed to the resurgence of infrasound research. Array processing is an important method used in infrasound research, however, this method produces data sets with a large number of parameters, and requires innovative plotting techniques. The goal in designing new figures is to be able to present easily comprehendible, and information-rich plots by careful selection of data density and plotting methods.

Parallel line analysis: multifunctional software for the biomedical sciences

NASA Technical Reports Server (NTRS)

Swank, P. R.; Lewis, M. L.; Damron, K. L.; Morrison, D. R.

1990-01-01

An easy to use, interactive FORTRAN program for analyzing the results of parallel line assays is described. The program is menu driven and consists of five major components: data entry, data editing, manual analysis, manual plotting, and automatic analysis and plotting. Data can be entered from the terminal or from previously created data files. The data editing portion of the program is used to inspect and modify data and to statistically identify outliers. The manual analysis component is used to test the assumptions necessary for parallel line assays using analysis of covariance techniques and to determine potency ratios with confidence limits. The manual plotting component provides a graphic display of the data on the terminal screen or on a standard line printer. The automatic portion runs through multiple analyses without operator input. Data may be saved in a special file to expedite input at a future time.

The direct and indirect effects of initial job status on midlife psychological distress in Japan: evidence from a mediation analysis.

PubMed

Oshio, Takashi; Inagaki, Seiichi

2015-01-01

In the current study, we investigated how initial job status at graduation from school is associated with midlife psychological distress, using microdata from a nationwide Internet survey of 3,117 men and 2,818 women aged 30-60 yr. We measured psychological distress using the Kessler 6 (K6) score (range: 0-24) and the binary variable of K6 score ≥5. We found that unstable initial job status substantially raised midlife K6 scores and the probability of a K6 score ≥5 for both men and women. Furthermore, our mediation analysis showed that for men, slightly less than 60% of the effect was mediated by current job status, household income, and marital status. For women, the effect of initial job status was somewhat lesser than that for men, and only 20-30% of it was mediated. Despite these gender asymmetries, the results indicated that initial job status was a key predictor of midlife mental health. The association between job status and mental health should be further investigated with special reference to the institutional attributes of the labor market and their socio-economic/demographic outcomes.

The direct and indirect effects of initial job status on midlife psychological distress in Japan: evidence from a mediation analysis

PubMed Central

OSHIO, Takashi; INAGAKI, Seiichi

2015-01-01

In the current study, we investigated how initial job status at graduation from school is associated with midlife psychological distress, using microdata from a nationwide Internet survey of 3,117 men and 2,818 women aged 30–60 yr. We measured psychological distress using the Kessler 6 (K6) score (range: 0–24) and the binary variable of K6 score ≥5. We found that unstable initial job status substantially raised midlife K6 scores and the probability of a K6 score ≥5 for both men and women. Furthermore, our mediation analysis showed that for men, slightly less than 60% of the effect was mediated by current job status, household income, and marital status. For women, the effect of initial job status was somewhat lesser than that for men, and only 20–30% of it was mediated. Despite these gender asymmetries, the results indicated that initial job status was a key predictor of midlife mental health. The association between job status and mental health should be further investigated with special reference to the institutional attributes of the labor market and their socio-economic/demographic outcomes. PMID:25752251

Measurement and Modeling of Job Stress of Electric Overhead Traveling Crane Operators

PubMed Central

Krishna, Obilisetty B.; Maiti, Jhareswar; Ray, Pradip K.; Samanta, Biswajit; Mandal, Saptarshi; Sarkar, Sobhan

2015-01-01

Background In this study, the measurement of job stress of electric overhead traveling crane operators and quantification of the effects of operator and workplace characteristics on job stress were assessed. Methods Job stress was measured on five subscales: employee empowerment, role overload, role ambiguity, rule violation, and job hazard. The characteristics of the operators that were studied were age, experience, body weight, and body height. The workplace characteristics considered were hours of exposure, cabin type, cabin feature, and crane height. The proposed methodology included administration of a questionnaire survey to 76 electric overhead traveling crane operators followed by analysis using analysis of variance and a classification and regression tree. Results The key findings were: (1) the five subscales can be used to measure job stress; (2) employee empowerment was the most significant factor followed by the role overload; (3) workplace characteristics contributed more towards job stress than operator's characteristics; and (4) of the workplace characteristics, crane height was the major contributor. Conclusion The issues related to crane height and cabin feature can be fixed by providing engineering or foolproof solutions than relying on interventions related to the demographic factors. PMID:26929839

Dissatisfaction with work as a risk factor of musculoskeletal complaints among foresters in Poland.

PubMed

Lachowski, Stanisław; Choina, Piotr; Florek-Łuszczki, Magdalena; Goździewska, Małgorzata; Jezior, Jagoda

2017-12-23

Researchers indicate an important relationship between the level of job satisfaction and the state of health of the employees. Some elements of work related with its character, organization, and interpersonal relationships may evoke strong stress, manifested by, among others, an increased musculoskeletal tension which, in turn, may lead to permanent dysfunction of this system. The objective of the study was analysis of the relationship between the level of job satisfaction and occurrence of musculoskeletal disorders among employees of the State Forests. The research material was collected using two instruments: the modified Nordic Questionnaire for assessment of musculoskeletal disorders, and a questionnaire concerning job satisfaction. The study was conducted in a group of 396 employees of the State Forests from 8 regions of Poland. The results of analysis confirmed a significant relationship between job satisfaction and the occurrence of musculoskeletal disorders. The lower the level of job satisfaction, the more frequent the experiencing of musculoskeletal disorders. Low level of job satisfaction is a risk factor for the occurrence of musculoskeletal disorders. Shaping of work conditions, which are the source of job satisfaction, should be considered as one of the main elements of prevention of musculoskeletal complaints.

Beyond job security and money: driving factors of motivation for government doctors in India.

PubMed

Purohit, Bhaskar; Bandyopadhyay, Tathagata

2014-02-21

Despite many efforts from government to address the shortage of medical officers (MOs) in rural areas, rural health centres continue to suffer from severe shortage of MOs. Lack of motivation to join and continue service in rural areas is a major reason for such shortage. In the present study, we aimed to assess and rank the driving factors of motivation important for in-service MOs in their current job. The study participants included ninety two in-service government MOs from three states in India. The study participants were required to rank 14 factors of motivation important for them in their current job. The factors for the study were selected using Herzberg's two-factor theory of motivation and the data were collected using an instrument that has an established reliability and validity. Test of Kendall's coefficient of concordance (W) was carried out to assess the agreement in ranks assigned by participants to various motivation factors. Next, we studied the distributions of ranks of different motivating factors using standard descriptive statistics and box plots, which gave us interesting insights into the strength of agreement of the MOs in assigning ranks to various factors. And finally to assess whether MOs are more intrinsically motivated or extrinsically motivated, we used Kolmogorov-Smirnov test. The (W) test indicated statistically significant (P < 0.01) agreement of the participants in assigning ranks. The Kolmogorov-Smirnov test indicated that from policy perspectives, MOs place significantly more motivational importance to intrinsic factors than to extrinsic factors. The study results indicate that job security was the most important factor related to motivation, closely followed by interesting work and respect and recognition. Among the top five preferred factors, three were intrinsic factors indicating a great importance given by MOs to factors beyond money and job security. To address the issue of motivation, the health departments need to pay close attention to devising management strategies that address not only extrinsic but also intrinsic factors of motivation. The study results may be useful to understand the complicated issue of work motivation and can give some useful insights to design comprehensive management strategies that are based on motivational needs of MOs.

A statistical data analysis and plotting program for cloud microphysics experiments

NASA Technical Reports Server (NTRS)

Jordan, A. J.

1981-01-01

The analysis software developed for atmospheric cloud microphysics experiments conducted in the laboratory as well as aboard a KC-135 aircraft is described. A group of four programs was developed and implemented on a Hewlett Packard 1000 series F minicomputer running under HP's RTE-IVB operating system. The programs control and read data from a MEMODYNE Model 3765-8BV cassette recorder, format the data on the Hewlett Packard disk subsystem, and generate statistical data (mean, variance, standard deviation) and voltage and engineering unit plots on a user selected plotting device. The programs are written in HP FORTRAN IV and HP ASSEMBLY Language with the graphics software using the HP 1000 Graphics. The supported plotting devices are the HP 2647A graphics terminal, the HP 9872B four color pen plotter, and the HP 2608A matrix line printer.

Metaplot: a novel stata graph for assessing heterogeneity at a glance.

PubMed

Poorolajal, J; Mahmoodi, M; Majdzadeh, R; Fotouhi, A

2010-01-01

Heterogeneity is usually a major concern in meta-analysis. Although there are some statistical approaches for assessing variability across studies, here we present a new approach to heterogeneity using "MetaPlot" that investigate the influence of a single study on the overall heterogeneity. MetaPlot is a two-way (x, y) graph, which can be considered as a complementary graphical approach for testing heterogeneity. This method shows graphically as well as numerically the results of an influence analysis, in which Higgins' I(2) statistic with 95% (Confidence interval) CI are computed omitting one study in each turn and then are plotted against reciprocal of standard error (1/SE) or "precision". In this graph, "1/SE" lies on x axis and "I(2) results" lies on y axe. Having a first glance at MetaPlot, one can predict to what extent omission of a single study may influence the overall heterogeneity. The precision on x-axis enables us to distinguish the size of each trial. The graph describes I(2) statistic with 95% CI graphically as well as numerically in one view for prompt comparison. It is possible to implement MetaPlot for meta-analysis of different types of outcome data and summary measures. This method presents a simple graphical approach to identify an outlier and its effect on overall heterogeneity at a glance. We wish to suggest MetaPlot to Stata experts to prepare its module for the software.

The radiology job market: analysis of the ACR jobs board.

PubMed

Prabhakar, Anand M; Oklu, Rahmi; Harvey, H Benjamin; Harisinghani, Mukesh G; Rosman, David A

2014-05-01

The aim of this study was to assess the status of the radiology job market as represented by the ACR Jobs Board from October 2010 to June 2013. With the assistance of the ACR, data from the ACR Jobs Board from October 2010 through June 2013, including the numbers of monthly new job seekers, new job postings, and job posting clicks, were gathered and used to calculate a monthly competitive index, defined as the ratio of new job seekers to new job postings. During the study period, the mean number of new job seekers was 168 per month, which was significantly greater than the 84 average new job postings for any given month (P = .0002). There was no significant difference between 2011 and 2012 with regard to the number of new job seekers or job postings. Over the time period assessed, more new job seekers registered in October and November 2010, August to November 2011, and October and November 2012. These periods were also associated with the highest competitive index values. There were less job seekers in the winter and spring of 2011, 2012, and 2013, periods associated with lower competitive index values. ACR Jobs Board activity, measured by job posting clicks, was significantly higher in 2012 than in 2011 (P < .004). On the basis of the ACR Jobs Board, there were consistently more new job seekers than job postings throughout the study period, and fall is the period in the year most associated with the highest competitive index for radiologist employment. Copyright © 2014 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Forest Inventory and Analysis and Forest Health Monitoring: Piecing the Quilt

Treesearch

Joseph M. McCollum; Jamie K. Cochran

2005-01-01

Against the backdrop of a discussion about patchwork quilt assembly, the authors present background information on global grids. They show how to compose hexagons, an important task in systematically developing a subset of Forest Health Monitoring (FHM) Program plots from Forest Inventory and Analysis (FIA) plots. Finally, they outline the FHM and FIA grids, along with...

Graphical and Numerical Descriptive Analysis: Exploratory Tools Applied to Vietnamese Data

ERIC Educational Resources Information Center

Haughton, Dominique; Phong, Nguyen

2004-01-01

This case study covers several exploratory data analysis ideas, the histogram and boxplot, kernel density estimates, the recently introduced bagplot--a two-dimensional extension of the boxplot--as well as the violin plot, which combines a boxplot with a density shape plot. We apply these ideas and demonstrate how to interpret the output from these…

South Carolina, 2010 forest inventory and analysis factsheet

Treesearch

Roger C. Conner

2011-01-01

The Forest Inventory and Analysis (FIA) Program implemented a nationally consistent annual inventory system in 1998. Under the new design, one-fifth of all inventory plots in South Carolina are visited each year. The southern FIA unit, working cooperatively with South Carolina Forestry Commission crews, established the State’s initial annual inventory plots during the...

Path Analysis and Residual Plotting as Methods of Environmental Scanning in Higher Education: An Illustration with Applications and Enrollments.

ERIC Educational Resources Information Center

Morcol, Goktug; McLaughlin, Gerald W.

1990-01-01

The study proposes using path analysis and residual plotting as methods supporting environmental scanning in strategic planning for higher education institutions. Path models of three levels of independent variables are developed. Dependent variables measuring applications and enrollments at Virginia Polytechnic Institute and State University are…

Florida, 2011-forest inventory and analysis factsheet

Treesearch

Mark J. Brown; Jarek Nowak

2013-01-01

Forest Inventory and Analysis (FIA) factsheets are produced periodically to keep the public up to date on the extent and condition of the forest lands in each State. The forestrelated estimates in the factsheets are based upon data collected from thousands of sample plots distributed across the landscape in a systematic manner. The total number of these plots is...

Presenting simulation results in a nested loop plot.

PubMed

Rücker, Gerta; Schwarzer, Guido

2014-12-12

Statisticians investigate new methods in simulations to evaluate their properties for future real data applications. Results are often presented in a number of figures, e.g., Trellis plots. We had conducted a simulation study on six statistical methods for estimating the treatment effect in binary outcome meta-analyses, where selection bias (e.g., publication bias) was suspected because of apparent funnel plot asymmetry. We varied five simulation parameters: true treatment effect, extent of selection, event proportion in control group, heterogeneity parameter, and number of studies in meta-analysis. In combination, this yielded a total number of 768 scenarios. To present all results using Trellis plots, 12 figures were needed. Choosing bias as criterion of interest, we present a 'nested loop plot', a diagram type that aims to have all simulation results in one plot. The idea was to bring all scenarios into a lexicographical order and arrange them consecutively on the horizontal axis of a plot, whereas the treatment effect estimate is presented on the vertical axis. The plot illustrates how parameters simultaneously influenced the estimate. It can be combined with a Trellis plot in a so-called hybrid plot. Nested loop plots may also be applied to other criteria such as the variance of estimation. The nested loop plot, similar to a time series graph, summarizes all information about the results of a simulation study with respect to a chosen criterion in one picture and provides a suitable alternative or an addition to Trellis plots.

Frontline registered nurse job satisfaction and predictors over three decades: a meta-analysis from 1980 to 2009.

PubMed

Saber, Deborah A

2014-01-01

Frontline registered nurses' job satisfaction is important because it is tied to retention, organizational commitment, workforce safety, patient safety, and cost savings. The purpose of this study was to comprehensively, quantitatively examine the largest, moderate, and smallest predictors of frontline registered nurse job satisfaction from 1980 to 2009. A non-a priori meta-analysis was used to analyze studies that met inclusion. Sixty-two studies and 27 job satisfaction predictors met inclusion for analysis. The largest effect sizes were found for task requirements (r = .61), empowerment (r = .55), and control (r = .52), and moderate effect sizes were found for 10 predictors. Fail-safe N indicates high reliability. Heterogeneity between studies was present in all of the 27 predictor analyses. The largest predictors of job satisfaction for the frontline registered nurse may be different than previously thought. Supporting past research, autonomy and stress were found to be moderate predictors of satisfaction. Heterogeneity indicates study differences or moderator influence in studies. Copyright © 2014 Elsevier Inc. All rights reserved.

[Development and Testing of the Taiwanese Hospital Nurses' Job Satisfaction Scale].

PubMed

Tzeng, Wen-Chii; Lin, Chiou-Fen; Lin, Lih-Ying; Lu, Meei-Shiow; Chiang, Li-Chi

2017-04-01

In the context of professional nursing, the concept of job satisfaction includes the degree to which a nurse is satisfied with the nursing profession, his/her personal adaptation to this profession, and his/her current working environment. No validated scale that addresses the job satisfaction of nurses working in hospitals currently exists in Taiwan. To develop a reliable and validated scale for measuring the job satisfaction of hospital nurses in Taiwan. A three-phase, cross-sectional study design was used. First, a literature review and expert focus group discussion were conducted to develop the initial scale items. Second, experts were invited to validate the content of the draft scale. Finally, convenience sampling was used to recruit 427 hospital nurses from 6 hospitals. These nurses completed the scale and the results were analyzed using item analysis, factor analysis, and internal consistency analysis. The 31-item Taiwanese hospital nurse job satisfaction scale developed in the present study addresses 5 factors, including supportive working environment, professional autonomy and growth, interpersonal interaction and collaboration, leadership style, and nursing workload. The overall Cronbach's α was .96. The results indicate that the developed scale provides good reliability and validity. This study confirms the validity and reliability of the developed scale. It may be used to measure the job satisfaction of nurses working in hospitals.

Graphical analysis of power systems for mobile robotics

NASA Astrophysics Data System (ADS)

Raade, Justin William

The field of mobile robotics places stringent demands on the power system. Energetic autonomy, or the ability to function for a useful operation time independent of any tether, refueling, or recharging, is a driving force in a robot designed for a field application. The focus of this dissertation is the development of two graphical analysis tools, namely Ragone plots and optimal hybridization plots, for the design of human scale mobile robotic power systems. These tools contribute to the intuitive understanding of the performance of a power system and expand the toolbox of the design engineer. Ragone plots are useful for graphically comparing the merits of different power systems for a wide range of operation times. They plot the specific power versus the specific energy of a system on logarithmic scales. The driving equations in the creation of a Ragone plot are derived in terms of several important system parameters. Trends at extreme operation times (both very short and very long) are examined. Ragone plot analysis is applied to the design of several power systems for high-power human exoskeletons. Power systems examined include a monopropellant-powered free piston hydraulic pump, a gasoline-powered internal combustion engine with hydraulic actuators, and a fuel cell with electric actuators. Hybrid power systems consist of two or more distinct energy sources that are used together to meet a single load. They can often outperform non-hybrid power systems in low duty-cycle applications or those with widely varying load profiles and long operation times. Two types of energy sources are defined: engine-like and capacitive. The hybridization rules for different combinations of energy sources are derived using graphical plots of hybrid power system mass versus the primary system power. Optimal hybridization analysis is applied to several power systems for low-power human exoskeletons. Hybrid power systems examined include a fuel cell and a solar panel coupled with lithium polymer batteries. In summary, this dissertation describes the development and application of two graphical analysis tools for the intuitive design of mobile robotic power systems. Several design examples are discussed involving human exoskeleton power systems.

The indirect association of job strain with long-term sickness absence through bullying: a mediation analysis using structural equation modeling.

PubMed

Janssens, Heidi; Braeckman, Lutgart; De Clercq, Bart; Casini, Annalisa; De Bacquer, Dirk; Kittel, France; Clays, Els

2016-08-22

In this longitudinal study the complex interplay between both job strain and bullying in relation to sickness absence was investigated. Following the "work environment hypothesis", which establishes several work characteristics as antecedents of bullying, we assumed that job strain, conceptualized by the Job-Demand-Control model, has an indirect relation with long-term sickness absence through bullying. The sample consisted of 2983 Belgian workers, aged 30 to 55 years, who participated in the Belstress III study. They completed a survey, including the Job Content Questionnaire and a bullying inventory, at baseline. Their sickness absence figures were registered during 1 year follow-up. Long-term sickness absence was defined as at least 15 consecutive days. A mediation analysis, using structural equation modeling, was performed to examine the indirect association of job strain through bullying with long-term sickness absence. The full structural model was adjusted for several possible confounders: age, gender, occupational group, educational level, company, smoking habits, alcohol use, body mass index, self-rated health, baseline long-term sickness absence and neuroticism. The results support the hypothesis: a significant indirect association of job strain with long-term sickness absence through bullying was observed, suggesting that bullying is an intermediate variable between job strain and long-term sickness absence. No evidence for the reversed pathway of an indirect association of bullying through job strain was found. Bullying was observed as a mediating variable in the relation between job strain and sickness absence. The results suggest that exposure to job strain may create circumstances in which a worker risks to become a target of bullying. Our findings are generally in line with the work environment hypothesis, which emphasizes the importance of organizational work factors in the origin of bullying. This study highlights that remodeling jobs to reduce job strain may be important in the prevention of bullying and subsequent sickness absence.

Validity of a Job-Exposure Matrix for Psychosocial Job Stressors: Results from the Household Income and Labour Dynamics in Australia Survey

PubMed Central

Milner, A.; Niedhammer, I.; Chastang, J.-F.; Spittal, M. J.; LaMontagne, A. D.

2016-01-01

Introduction A Job Exposure Matrix (JEM) for psychosocial job stressors allows assessment of these exposures at a population level. JEMs are particularly useful in situations when information on psychosocial job stressors were not collected individually and can help eliminate the biases that may be present in individual self-report accounts. This research paper describes the development of a JEM in the Australian context. Methods The Household Income Labour Dynamics in Australia (HILDA) survey was used to construct a JEM for job control, job demands and complexity, job insecurity, and fairness of pay. Population median values of these variables for all employed people (n = 20,428) were used to define individual exposures across the period 2001 to 2012. The JEM was calculated for the Australian and New Zealand Standard Classification of Occupations (ANZSCO) at the four-digit level, which represents 358 occupations. Both continuous and binary exposures to job stressors were calculated at the 4-digit level. We assessed concordance between the JEM-assigned and individually-reported exposures using the Kappa statistic, sensitivity and specificity assessments. We conducted regression analysis using mental health as an outcome measure. Results Kappa statistics indicate good agreement between individually-reported and JEM-assigned dichotomous measures for job demands and control, and moderate agreement for job insecurity and fairness of pay. Job control, job demands and security had the highest sensitivity, while specificity was relatively high for the four exposures. Regression analysis shows that most individually reported and JEM measures were significantly associated with mental health, and individually-reported exposures produced much stronger effects on mental health than the JEM-assigned exposures. Discussion These JEM-based estimates of stressors exposure provide a conservative proxy for individual-level data, and can be applied to a range of health and organisational outcomes. PMID:27049527

The dynamic spillover of satisfaction between work and marriage: the role of time and mood.

PubMed

Heller, Daniel; Watson, David

2005-11-01

Previous research has indicated important linkages between work and family domains and roles. However, the nature of the dynamic spillover between job and marital satisfaction remains poorly understood. The current study tests both the concurrent and lagged associations between job and marital satisfaction at a within-individual level of analysis using a diary study of 76 fully employed, married adults. The authors further examine the mediating role of mood in this spillover process. Consistent with their hypotheses, findings indicate both a concurrent and a lagged (job to marital and marital to job) job satisfaction-marital satisfaction association at the within-subject level of analysis and lend some support for the mediating role of mood (most notably positive affect) in these associations. The authors hope these findings stimulate new research that uses more complex designs and comprehensive theoretical models to investigate work-family links. ((c) 2005 APA, all rights reserved).

Exploring the Factor Structure of the Job Demands-Resources Measure With Patient Violence on Direct Care Workers in the Home Setting.

PubMed

Byon, Ha Do; Harrington, Donna; Storr, Carla L; Lipscomb, Jane

2017-08-01

Workplace violence research in health care settings using the Job Demands-Resources (JD-R) framework is hindered by the lack of comprehensive examination of the factor structure of the JD-R measure when it includes patient violence. Is patient violence a component of job demands or its own factor as an occupational outcome? Exploratory factor analysis and confirmatory factor analysis were conducted using a sample of direct care workers in the home setting (n = 961). The overall 2-construct JD-R structure persisted. Patient violence was not identified as a separate factor from job demands; rather, two demand factors emerged: violence/emotional and workload/physical demands. Although the three-factor model fits the data, the two-factor model with patient violence being a component of job demands is a parsimonious and effective measurement framework.

The Combined Effect of Long Working Hours and Low Job Control on Self-Rated Health: An Interaction Analysis.

PubMed

Cho, Seong-Sik; Ju, Young-Su; Paek, Domyung; Kim, Hyunjoo; Jung-Choi, Kyunghee

2018-05-01

The aim of this study was to investigate the combined effects of long working hours and low job control on self-rated health. We analyzed employees' data obtained from the third Korean Working Conditions Survey (KWCS). Multiple survey logistic analysis and postestimation commands were employed to estimate the relative excess risk due to interaction (RERI). The odds ratio (OR) for poor self-rated health was 1.24 [95% confidence interval (95% CI): 1.13 to 1.35] for long working hours, 1.04 (95% CI: 0.97 to 1.13) for low job control, and 1.47 (95% CI: 1.33 to 1.62) for both long working hours and low job control. The RERI was 0.18 (95% CI: 0.02 to 0.34). These results imply that low job control may increase the negative influence of long working hours on self-rated health.

Job strain in nursing homes-Exploring the impact of leadership.

PubMed

Backman, Annica; Sjögren, Karin; Lövheim, Hugo; Edvardsson, David

2018-04-01

To explore the association between nursing home managers' leadership, job strain and social support as perceived by direct care staff in nursing homes. It is well known that aged care staff experience high levels of job strain, and that aged care staff experiencing job strain are exposed to increased risk for adverse health effects. Leadership styles have been associated with job strain in the literature; however, the impact of perceived leadership on staff job strain and social support has not been clarified within nursing home contexts. This study had a cross-sectional design. Participating staff (n = 3,605) completed surveys which included questions about staff characteristics, valid and reliable measures of nursing home managers' leadership, perceived job strain and social support. Statistical analyses of correlations and multiple regression analysis with interaction terms were conducted. Nursing home managers' leadership were significantly associated with lower level of job strain and higher level of social support among direct care staff. A multiple regression analysis including an interaction term indicated individual and joint effects of nursing home managers' leadership and social support on job strain. Nursing home managers' leadership and social support were both individually and in combination associated with staff perception of lesser job strain. Thus, nursing home managers' leadership are beneficial for the working situation and strain of staff. Promoting a supporting work environment through leadership is an important implication for nursing home managers as it can influence staff perception of job strain and social support within the unit. By providing leadership, offering support and strategies towards a healthy work environment, nursing home managers can buffer adverse health effects among staff. © 2017 John Wiley & Sons Ltd.

Geothermal Impact Analysis | Geothermal Technologies | NREL

Science.gov Websites

on potential geothermal growth scenarios, jobs and economic impacts, clean energy manufacturing geothermal resources. We: Perform resource analysis Develop techno-economic models Quantify environmental growth scenarios across multiple market sectors. Learn more about the GeoVision Study. Jobs and Economic

Librarians in Name Only: Systems Librarianship and Job Seeking: A Content Analysis.

ERIC Educational Resources Information Center

Taylor, Robbie F.

This study surveys previous research about systems librarians and performs a systematic examination of position requirements through analysis of position announcements, responsibilities, required skills, job titles, degree requirements, personality qualifications, and salaries. The educational needs and emergent curriculum appropriate for…

Job Evaluation with the Position Analysis Questionnaire

ERIC Educational Resources Information Center

Harris, Alma F.; Matson, G. Albion

1976-01-01

Assessment of the Position Analysis Questionnaire (PAQ) at a four-year state college with 8,000 students indicates that the PAQ job evaluation method is sufficiently valid and has enough unique advantages to warrant its serious consideration for use by college and university personnel administrators. (LBH)

Texture Analysis of Recurrence Plots Based on Wavelets and PSO for Laryngeal Pathologies Detection.

PubMed

Souza, Taciana A; Vieira, Vinícius J D; Correia, Suzete E N; Costa, Silvana L N C; de A Costa, Washington C; Souza, Micael A

2015-01-01

This paper deals with the discrimination between healthy and pathological speech signals using recurrence plots and wavelet transform with texture features. Approximation and detail coefficients are obtained from the recurrence plots using Haar wavelet transform, considering one decomposition level. The considered laryngeal pathologies are: paralysis, Reinke's edema and nodules. Accuracy rates above 86% were obtained by means of the employed method.

Finding Your Way out of the Forest without a Trail of Bread Crumbs: Development and Evaluation of Two Novel Displays of Forest Plots

ERIC Educational Resources Information Center

Schild, Anne H. E.; Voracek, Martin

2015-01-01

Research has shown that forest plots are a gold standard in the visualization of meta-analytic results. However, research on the general interpretation of forest plots and the role of researchers' meta-analysis experience and field of study is still unavailable. Additionally, the traditional display of effect sizes, confidence intervals, and…

Using publically available forest inventory data in climate-based modes of tree species distribution: Examining effects of true versus altered location coordinates

Treesearch

Jacob Gibson; Gretchen Moisen; Tracey Frescino; Thomas C. Edwards

2013-01-01

Species distribution models (SDMs) were built with US Forest Inventory and Analysis (FIA) publicly available plot coordinates, which are altered for plot security purposes, and compared with SDMs built with true plot coordinates. Six species endemic to the western US, including four junipers (Juniperus deppeana var. deppeana, J. monosperma, J. occidentalis, J....

Analysis of the Korean Navy Selection Process for the Naval Post Graduate School

DTIC Science & Technology

1988-06-01

OUTCOME OF ECL TESTING SCORE..........................54 C. OUTCOME OF TOEFL TESTING SCORE.......................55 D. PLOT OF NPS GRADE WITH ECL...TESTING SCORE..............55 E. PLOT OF NPS GRADE WIHT NA GRADE......................56 F. PLOT OF NPS GRADE WITH TOEFL TESTING SCORE............56...OF ECL TESTING SCORE ............. 30 Table S. EXPECTANCY TABLE OF NAG ............................ 31 Table 9. EXPECTANCY TABLE OF TOEFL TESTING SCORE

Redrawing the baseline: a method for adjusting biased historical forest estimates using a spatial and temporally representative plot network

Treesearch

Sara A. Goeking; Paul L. Patterson

2015-01-01

Users of Forest Inventory and Analysis (FIA) data sometimes compare historic and current forest inventory estimates, despite warnings that such comparisons may be tenuous. The purpose of this study was to demonstrate a method for obtaining a more accurate and representative reference dataset using data collected at co-located plots (i.e., plots that were measured...

Effects of low intensity prescribed fires on ponderosa pine forests in wilderness areas of Zion National Park, Utah

Treesearch

Henry V. Bastian

2001-01-01

Vegetation and fuel loading plots were monitored and sampled in wilderness areas treated with prescribed fire. Changes in ponderosa pine (Pinus ponderosa) forest structure tree species and fuel loading are presented. Plots were randomly stratified and established in burn units in 1995. Preliminary analysis of nine plots 2 years after burning show litter was reduced 54....

Pilot Inventory of FIA plots traditionally called `nonforest'

Treesearch

Rachel Riemann

2003-01-01

Forest-inventory data were collected on plots defined as ?nonforest? by the USDA Forest Service?s Forest Inventory and Analysis (FIA) unit. Nonforest plots may have trees on them, but they do not fit FIA?s definition of forest because the area covered by trees is too small, too sparsely populated by trees, too narrow (e.g., trees between fields or in the middle of a...

Analysis of a Multiprocessor Guidance Computer. Ph.D. Thesis

NASA Technical Reports Server (NTRS)

Maltach, E. G.

1969-01-01

The design of the next generation of spaceborne digital computers is described. It analyzes a possible multiprocessor computer configuration. For the analysis, a set of representative space computing tasks was abstracted from the Lunar Module Guidance Computer programs as executed during the lunar landing, from the Apollo program. This computer performs at this time about 24 concurrent functions, with iteration rates from 10 times per second to once every two seconds. These jobs were tabulated in a machine-independent form, and statistics of the overall job set were obtained. It was concluded, based on a comparison of simulation and Markov results, that the Markov process analysis is accurate in predicting overall trends and in configuration comparisons, but does not provide useful detailed information in specific situations. Using both types of analysis, it was determined that the job scheduling function is a critical one for efficiency of the multiprocessor. It is recommended that research into the area of automatic job scheduling be performed.

A Novel Framework Based on the Improved Job Demands-Resources (JD-R) Model to Understand the Impact of Job Characteristics on Job Burnout from the View of Emotion Regulation Theory.

PubMed

Yang, Naiding; Lu, Jintao; Ye, Jinfu

2018-03-01

It has been suggested that individual job characteristics have a significant impact on job burnout, and the process is subject to the regulation of demographic variables. However, the influence path of job characteristics on job burnout is still a "black box". On the basis of a systematic literature review by employing Pub Med, Science Direct, Web of Science, Google Scholar, CNKI and Scopus for required information with the several keywords "Job burnout", "Emotion regulation", "Personality traits", and "Psychological stress", in this study, an improved mine rescue workers-oriented job demands-resources (JD-R) model was put forward. Then, a novel analysis framework, to explore the impact of job characteristics on job burnout from the view of emotion regulation theory, was proposed combining the personality trait theory. This study argues that job burnout is influenced by job demands through expressive suppression and by job resources through cognitive reappraisal respectively. Further more, job demands and job resources have the opposite effects on job burnout through the "loss-path" caused by job pressure and the "gain-path" arised from job motivation, respectively. Extrovert personality traits can affect the way the individual processes the information of work environment and then how individual further adopts emotion regulation strategies, finally resulting in indirectly affecting the influence path of mine rescue workers' job characteristics on job burnout. This present study can help managers to realize the importance of employees' psychological stress and job burnout problems. The obtained conclusions provide significant decision-making references for managers in intervening job burnout, managing emotional stress and mental health of employees.

Aquifer test interpretation using derivative analysis and diagnostic plots

NASA Astrophysics Data System (ADS)

Hernández-Espriú, Antonio; Real-Rangel, Roberto; Cortés-Salazar, Iván; Castro-Herrera, Israel; Luna-Izazaga, Gabriela; Sánchez-León, Emilio

2017-04-01

Pumping tests remain a method of choice to deduce fundamental aquifer properties and to assess well condition. In the oil and gas (O&G) industry, well testing has been the core technique in examining reservoir behavior over the last 50 years. The pressure derivative by Bourdet, it is perhaps, the most significant single development in the history of well test analysis. Recently, the so-called diagnostics plots (e.g. drawdown and drawdown derivative in a log-log plot) have been successfully tested in aquifers. However, this procedure is still underutilized by groundwater professionals. This research illustrates the applicability range, advantages and drawbacks (e.g. smoothing procedures) of diagnostic plots using field examples from a wide spectrum of tests (short/long tests, constant/variable flow rates, drawdown/buildup stages, pumping well/observation well) in dissimilar geological conditions. We analyze new and pre-existent aquifer tests in Mexico, USA, Canada, Germany, France and Saudi Arabia. In constant flow rate tests, our results show that derivative analysis is an easy, robust and powerful tool to assess near-borehole damage effects, formation heterogeneity, boundaries, flow regimes, infinite-acting radial stages, i.e., valid Theisian framework, and fracture-driven flow. In step tests, the effectiveness relies on high-frequency drawdown measurements. Moreover, we adapt O&G analytical solutions to cater for the conditions in groundwater systems. In this context, further parameters can be computed analytically from the plots, such as skin factor, head losses, wellbore storage, distance to the boundary, channel-aquifer and/or fracture zone width, among others. Therefore, diagnostic plots should be considered a mandatory tool for pumping tests analysis among hydrogeologists. This project has been supported by DGAPA (UNAM) under the research project PAPIIT IN-112815.

The impact of intrinsic and extrinsic factors on the job satisfaction of dentists.

PubMed

Goetz, K; Campbell, S M; Broge, B; Dörfer, C E; Brodowski, M; Szecsenyi, J

2012-10-01

The Two-Factor Theory of job satisfaction distinguishes between intrinsic-motivation (i.e. recognition, responsibility) and extrinsic-hygiene (i.e. job security, salary, working conditions) factors. The presence of intrinsic-motivation facilitates higher satisfaction and performance, whereas the absences of extrinsic factors help mitigate against dissatisfaction. The consideration of these factors and their impact on dentists' job satisfaction is essential for the recruitment and retention of dentists. The objective of the study is to assess the level of job satisfaction of German dentists and the factors that are associated with it. This cross-sectional study was based on a job satisfaction survey. Data were collected from 147 dentists working in 106 dental practices. Job satisfaction was measured with the 10-item Warr-Cook-Wall job satisfaction scale. Organizational characteristics were measured with two items. Linear regression analyses were performed in which each of the nine items of the job satisfaction scale (excluding overall satisfaction) were handled as dependent variables. A stepwise linear regression analysis was performed with overall job satisfaction as the dependent outcome variable, the nine items of job satisfaction and the two items of organizational characteristics controlled for age and gender as predictors. The response rate was 95.0%. Dentists were satisfied with 'freedom of working method' and mostly dissatisfied with their 'income'. Both variables are extrinsic factors. The regression analyses identified five items that were significantly associated with each item of the job satisfaction scale: 'age', 'mean weekly working time', 'period in the practice', 'number of dentist's assistant' and 'working atmosphere'. Within the stepwise linear regression analysis the intrinsic factor 'opportunity to use abilities' (β = 0.687) showed the highest score of explained variance (R(2) = 0.468) regarding overall job satisfaction. With respect to the Two-Factor Theory of job satisfaction both components, intrinsic and extrinsic, are essential for dentists but the presence of intrinsic motivating factors like the opportunity to use abilities has most positive impact on job satisfaction. The findings of this study will be helpful for further activities to improve the working conditions of dentists and to ensure quality of care. © 2012 John Wiley & Sons A/S.

Factors associated with job satisfaction among Chinese community health workers: a cross-sectional study

PubMed Central

2011-01-01

Background With the medical reform, the function of community health centres emerged to be more important recently in China. However, the health service capabilities were tremendously different between metropolitan cities and small cities. This study aims to clarify the level of job satisfaction of Chinese community health workers between a metropolitan (Shenyang) and a small city (Benxi) in Liaoning province and explore its associated factors. Methods A cross-sectional survey was conducted from December 2009 to February 2010. A multi-stage sample was used and a total of 2,100 Chinese community health workers from the two cities completed self-administered questionnaire pertaining to job satisfaction indicated by Minnesota Satisfaction Questionnaire (MSQ), demographic characteristic and working situations, stress and job burnout. The effective response rate was 80.7%. Hierarchical regression analysis was performed to explore the related factors. All data analyses for the two cities were performed separately. Results The averages of overall job satisfaction score of Chinese community health workers were 67.17 in Shenyang and 69.95 in Benxi. Intrinsic job satisfaction and extrinsic job satisfaction among Chinese community health workers were significantly different between Shenyang and Benxi (p < 0.05). In Shenyang, hierarchical regression analysis showed that the fourth model explained 36%, 32% of the variance of intrinsic and extrinsic job satisfactions, respectively. In Benxi, the fourth model explained 48%, 52% of the variance of intrinsic and extrinsic job satisfactions, respectively. Three significant predictors of intrinsic and extrinsic job satisfactions for the two cities were the two dimensions (social support and decision latitude) of stress and cynicism of burnout. Conclusion From this study, the job satisfaction among Chinese community health workers in the two cities enjoyed a moderate level of job satisfactions, which represented they are not fully satisfied with their jobs. Community health workers in Shenyang had lower job satisfaction as compared to those in Benxi. This study strengthened the evidence that stress and burnout were important predictors of intrinsic and extrinsic job satisfactions. PMID:22111511

Job satisfaction of primary care physicians in Switzerland: an observational study.

PubMed

Goetz, Katja; Jossen, Marianne; Szecsenyi, Joachim; Rosemann, Thomas; Hahn, Karolin; Hess, Sigrid

2016-10-01

Job satisfaction of physicians is an important issue for performance of a health care system. The aim of the study was to evaluate the job satisfaction of primary care physicians in Switzerland and to explore associations between overall job satisfaction, individual characteristics and satisfaction with aspects of work within the practice separated by gender. This cross-sectional study was based on a job satisfaction survey. Data were collected from 176 primary care physicians working in 91 primary care practices. Job satisfaction was measured with the 10-item Warr-Cook-Wall job satisfaction scale. Stepwise linear regression analysis was performed for physicians separated by gender. The response rate was 92.6%. Primary care physicians reported the highest level of satisfaction with 'freedom of working method' (mean = 6.45) and the lowest satisfaction for 'hours of work' (mean = 5.38) and 'income' (mean = 5.49). Moreover, some aspects of job satisfaction were rated higher by female physicians than male physicians. Within the stepwise regression analysis, the aspect 'opportunity to use abilities' (β = 0.644) showed the highest association to overall job satisfaction for male physicians while for female physicians it was income (β = 0.733). The presented results contribute to an understanding of factors that influence levels of satisfaction of female and male physicians. Therefore, research and intervention about job satisfaction should consider gender as well as the stereotypes that come along with these social roles. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Job satisfaction of primary health-care providers (public sector) in urban setting.

PubMed

Kumar, Pawan; Khan, Abdul Majeed; Inder, Deep; Sharma, Nandini

2013-07-01

Job satisfaction is determined by a discrepancy between what one wants in a job and what one has in a job. The core components of information necessary for what satisfies and motivates the health work force in our country are missing at policy level. Therefore present study will help us to know the factors for job satisfaction among primary health care providers in public sector. Present study is descriptive in nature conducted in public sector dispensaries/primary urban health centers in Delhi among health care providers. Pretested structured questionnaire was administered to 227 health care providers. Data was analyzed using SPSS and relevant statistical test were applied. Analysis of study reveals that ANMs are more satisfied than MOs, Pharmacist and Lab assistants/Lab technicians; and the difference is significant (P < 0.01). Age and education level of health care providers don't show any significant difference in job satisfaction. All the health care providers are dissatisfied from the training policies and practices, salaries and opportunities for career growth in the organization. Majority of variables studied for job satisfaction have low scores. Five factor were identified concerned with job satisfaction in factor analysis. Job satisfaction is poor for all the four groups of health care providers in dispensaries/primary urban health centers and it is not possible to assign a single factor as a sole determinant of dissatisfaction in the job. Therefore it is recommended that appropriate changes are required at the policy as well as at the dispensary/PUHC level to keep the health work force motivated under public sector in Delhi.

Temperament and job stress in Japanese company employees.

PubMed

Sakai, Y; Akiyama, T; Miyake, Y; Kawamura, Y; Tsuda, H; Kurabayashi, L; Tominaga, M; Noda, T; Akiskal, K; Akiskal, H

2005-03-01

This study aims to demonstrate the relevance of temperament to job stress. The subjects were 848 male and 366 female Japanese company employees. Temperament Evaluation of Memphis, Pisa, Paris and San Diego-Autoquestionnaire version (TEMPS-A) and Munich Personality Test (MPT) were administered to assess temperaments, and the NIOSH Generic Job Stress Questionnaire (GJSQ) to assess job stress. We used hierarchical multiple linear regression analysis in order to demonstrate whether temperament variables added any unique variance after controlling the effects of other predictors such as gender, age and job rank. In all subscales of the GJSQ, temperament predicted a large share of the variance in job stress. Remarkably, for interpersonal relationship stressors, the temperament variables added greater variance than that predicted by gender, age and job rank. Summary of the hierarchical linear regression analysis showed that the irritable temperament was associated with the most prominent vulnerability, followed by cyclothymic and anxious temperaments. The schizoid temperament had difficulty in the area of social support. On the other hand, the hyperthymic temperament displayed significant robustness in facing most job stressors; the melancholic type showed a similar pattern to a lesser degree. The findings may be different in a clinical Japanese sample, or a cohort of healthy employees from a different cultural background. Temperament influences job stress significantly-indeed, it impacts on such stress with greater magnitude than age, gender and job rank in most areas examined. Temperament influences interpersonal relationship stressors more than workload-related stressors. Interestingly, in line with previous clinical and theoretical formulations, the hyperthymic and melancholic types actually appear to be "hyper-adapted" to the workplace.