Sample records for survey statistical analysis
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77 FR 1454 - Request for Nominations of Members To Serve on the Census Scientific Advisory Committee
Federal Register 2010, 2011, 2012, 2013, 2014
2012-01-10
..., statistical analysis, survey methodology, geospatial analysis, econometrics, cognitive psychology, and... following disciplines: Demography, economics, geography, psychology, statistics, survey methodology, social... technical expertise in such areas as demography, economics, geography, psychology, statistics, survey...
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Federal Register 2010, 2011, 2012, 2013, 2014
2013-11-08
... analysis, survey methodology, geospatial analysis, econometrics, cognitive psychology, and computer science... following disciplines: demography, economics, geography, psychology, statistics, survey methodology, social... expertise in such areas as demography, economics, geography, psychology, statistics, survey methodology...
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Parsons, Nick R; Price, Charlotte L; Hiskens, Richard; Achten, Juul; Costa, Matthew L
2012-04-25
The application of statistics in reported research in trauma and orthopaedic surgery has become ever more important and complex. Despite the extensive use of statistical analysis, it is still a subject which is often not conceptually well understood, resulting in clear methodological flaws and inadequate reporting in many papers. A detailed statistical survey sampled 100 representative orthopaedic papers using a validated questionnaire that assessed the quality of the trial design and statistical analysis methods. The survey found evidence of failings in study design, statistical methodology and presentation of the results. Overall, in 17% (95% confidence interval; 10-26%) of the studies investigated the conclusions were not clearly justified by the results, in 39% (30-49%) of studies a different analysis should have been undertaken and in 17% (10-26%) a different analysis could have made a difference to the overall conclusions. It is only by an improved dialogue between statistician, clinician, reviewer and journal editor that the failings in design methodology and analysis highlighted by this survey can be addressed.
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Prison Radicalization: The New Extremist Training Grounds?
2007-09-01
distributing and collecting survey data , and the data analysis. The analytical methodology includes descriptive and inferential statistical methods, in... statistical analysis of the responses to identify significant correlations and relationships. B. SURVEY DATA COLLECTION To effectively access a...Q18, Q19, Q20, and Q21. Due to the exploratory nature of this small survey, data analyses were confined mostly to descriptive statistics and
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2015-06-18
Engineering Effectiveness Survey. CMU/SEI-2012-SR-009. Carnegie Mellon University. November 2012. Field, Andy. Discovering Statistics Using SPSS , 3rd...enough into the survey to begin answering questions on risk practices. All of the data statistical analysis will be performed using SPSS . Prior to...probabilistically using distributions for likelihood and impact. Statistical methods like Monte Carlo can more comprehensively evaluate the cost and
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The 1985 Army Experience Survey. Data Sourcebook and User’s Manual
1986-01-01
on the survey data file produced for the 1985 AES.- 4 The survey data are available in Operating System (OS) as well as Statistical Analysis System ...version of the survey data files was produced using the Statistical Analysis System (SASJ. The survey data were also produced in Operating System (OS...impacts upon future enlistments. In order iThe OS data file was designed to make the survey data accessible on any IBM-compatible computer system . 3 N’ to
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ERIC Educational Resources Information Center
Karadag, Engin
2010-01-01
To assess research methods and analysis of statistical techniques employed by educational researchers, this study surveyed unpublished doctoral dissertation from 2003 to 2007. Frequently used research methods consisted of experimental research; a survey; a correlational study; and a case study. Descriptive statistics, t-test, ANOVA, factor…
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Statistical assessment on a combined analysis of GRYN-ROMN-UCBN upland vegetation vital signs
Irvine, Kathryn M.; Rodhouse, Thomas J.
2014-01-01
As of 2013, Rocky Mountain and Upper Columbia Basin Inventory and Monitoring Networks have multiple years of vegetation data and Greater Yellowstone Network has three years of vegetation data and monitoring is ongoing in all three networks. Our primary objective is to assess whether a combined analysis of these data aimed at exploring correlations with climate and weather data is feasible. We summarize the core survey design elements across protocols and point out the major statistical challenges for a combined analysis at present. The dissimilarity in response designs between ROMN and UCBN-GRYN network protocols presents a statistical challenge that has not been resolved yet. However, the UCBN and GRYN data are compatible as they implement a similar response design; therefore, a combined analysis is feasible and will be pursued in future. When data collected by different networks are combined, the survey design describing the merged dataset is (likely) a complex survey design. A complex survey design is the result of combining datasets from different sampling designs. A complex survey design is characterized by unequal probability sampling, varying stratification, and clustering (see Lohr 2010 Chapter 7 for general overview). Statistical analysis of complex survey data requires modifications to standard methods, one of which is to include survey design weights within a statistical model. We focus on this issue for a combined analysis of upland vegetation from these networks, leaving other topics for future research. We conduct a simulation study on the possible effects of equal versus unequal probability selection of points on parameter estimates of temporal trend using available packages within the R statistical computing package. We find that, as written, using lmer or lm for trend detection in a continuous response and clm and clmm for visually estimated cover classes with “raw” GRTS design weights specified for the weight argument leads to substantially different results and/or computational instability. However, when only fixed effects are of interest, the survey package (svyglm and svyolr) may be suitable for a model-assisted analysis for trend. We provide possible directions for future research into combined analysis for ordinal and continuous vital sign indictors.
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Survival analysis, or what to do with upper limits in astronomical surveys
NASA Technical Reports Server (NTRS)
Isobe, Takashi; Feigelson, Eric D.
1986-01-01
A field of applied statistics called survival analysis has been developed over several decades to deal with censored data, which occur in astronomical surveys when objects are too faint to be detected. How these methods can assist in the statistical interpretation of astronomical data are reviewed.
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ERIC Educational Resources Information Center
Mansfield, Wendy; Farris, Elizabeth
This report provides results of a Fast Response Survey System (FRSS) study conducted by the National Center for Education Statistics for the Office for Civil Rights (OCR). The OCR wanted input for their decision-making process on possible modifications to their biennial survey of a national sample of public school districts (PSDs). The survey, the…
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The impact of mother's literacy on child dental caries: Individual data or aggregate data analysis?
Haghdoost, Ali-Akbar; Hessari, Hossein; Baneshi, Mohammad Reza; Rad, Maryam; Shahravan, Arash
2017-01-01
To evaluate the impact of mother's literacy on child dental caries based on a national oral health survey in Iran and to investigate the possibility of ecological fallacy in aggregate data analysis. Existing data were from second national oral health survey that was carried out in 2004, which including 8725 6 years old participants. The association of mother's literacy with caries occurrence (DMF (Decayed, Missing, Filling) total score >0) of her child was assessed using individual data by logistic regression model. Then the association of the percentages of mother's literacy and the percentages of decayed teeth in each 30 provinces of Iran was assessed using aggregated data retrieved from the data of second national oral health survey of Iran and alternatively from census of "Statistical Center of Iran" using linear regression model. The significance level was set at 0.05 for all analysis. Individual data analysis showed a statistically significant association between mother's literacy and decayed teeth of children ( P = 0.02, odds ratio = 0.83). There were not statistical significant association between mother's literacy and child dental caries in aggregate data analysis of oral health survey ( P = 0.79, B = 0.03) and census of "Statistical Center of Statistics" ( P = 0.60, B = 0.14). Literate mothers have a preventive effect on occurring dental caries of children. According to the high percentage of illiterate parents in Iran, it's logical to consider suitable methods of oral health education which do not need reading or writing. Aggregate data analysis and individual data analysis had completely different results in this study.
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Harris, Alex; Reeder, Rachelle; Hyun, Jenny
2011-01-01
The authors surveyed 21 editors and reviewers from major psychology journals to identify and describe the statistical and design errors they encounter most often and to get their advice regarding prevention of these problems. Content analysis of the text responses revealed themes in 3 major areas: (a) problems with research design and reporting (e.g., lack of an a priori power analysis, lack of congruence between research questions and study design/analysis, failure to adequately describe statistical procedures); (b) inappropriate data analysis (e.g., improper use of analysis of variance, too many statistical tests without adjustments, inadequate strategy for addressing missing data); and (c) misinterpretation of results. If researchers attended to these common methodological and analytic issues, the scientific quality of manuscripts submitted to high-impact psychology journals might be significantly improved.
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DOE Office of Scientific and Technical Information (OSTI.GOV)
G. Ostrouchov; W.E.Doll; D.A.Wolf
2003-07-01
Unexploded ordnance(UXO)surveys encompass large areas, and the cost of surveying these areas can be high. Enactment of earlier protocols for sampling UXO sites have shown the shortcomings of these procedures and led to a call for development of scientifically defensible statistical procedures for survey design and analysis. This project is one of three funded by SERDP to address this need.
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Taeyoung Kim; Christian Langpap
2015-01-01
This report provides a statistical analysis of the data collected from two survey regions of the United States, the Pacific Northwest and the Southeast. The survey asked about individual agricultural landownersâ characteristics, characteristics of their land, and the landownersâ willingness to enroll in a tree planting program under incentive payments for carbon...
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Metz, Anneke M
2008-01-01
There is an increasing need for students in the biological sciences to build a strong foundation in quantitative approaches to data analyses. Although most science, engineering, and math field majors are required to take at least one statistics course, statistical analysis is poorly integrated into undergraduate biology course work, particularly at the lower-division level. Elements of statistics were incorporated into an introductory biology course, including a review of statistics concepts and opportunity for students to perform statistical analysis in a biological context. Learning gains were measured with an 11-item statistics learning survey instrument developed for the course. Students showed a statistically significant 25% (p < 0.005) increase in statistics knowledge after completing introductory biology. Students improved their scores on the survey after completing introductory biology, even if they had previously completed an introductory statistics course (9%, improvement p < 0.005). Students retested 1 yr after completing introductory biology showed no loss of their statistics knowledge as measured by this instrument, suggesting that the use of statistics in biology course work may aid long-term retention of statistics knowledge. No statistically significant differences in learning were detected between male and female students in the study.
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Metamodels for Computer-Based Engineering Design: Survey and Recommendations
NASA Technical Reports Server (NTRS)
Simpson, Timothy W.; Peplinski, Jesse; Koch, Patrick N.; Allen, Janet K.
1997-01-01
The use of statistical techniques to build approximations of expensive computer analysis codes pervades much of todays engineering design. These statistical approximations, or metamodels, are used to replace the actual expensive computer analyses, facilitating multidisciplinary, multiobjective optimization and concept exploration. In this paper we review several of these techniques including design of experiments, response surface methodology, Taguchi methods, neural networks, inductive learning, and kriging. We survey their existing application in engineering design and then address the dangers of applying traditional statistical techniques to approximate deterministic computer analysis codes. We conclude with recommendations for the appropriate use of statistical approximation techniques in given situations and how common pitfalls can be avoided.
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Engaging Students in Survey Research Projects across Research Methods and Statistics Courses
ERIC Educational Resources Information Center
Lovekamp, William E.; Soboroff, Shane D.; Gillespie, Michael D.
2017-01-01
One innovative way to help students make sense of survey research has been to create a multifaceted, collaborative assignment that promotes critical thinking, comparative analysis, self-reflection, and statistical literacy. We use a short questionnaire adapted from the Higher Education Research Institute's Cooperative Institutional Research…
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2008-01-01
There is an increasing need for students in the biological sciences to build a strong foundation in quantitative approaches to data analyses. Although most science, engineering, and math field majors are required to take at least one statistics course, statistical analysis is poorly integrated into undergraduate biology course work, particularly at the lower-division level. Elements of statistics were incorporated into an introductory biology course, including a review of statistics concepts and opportunity for students to perform statistical analysis in a biological context. Learning gains were measured with an 11-item statistics learning survey instrument developed for the course. Students showed a statistically significant 25% (p < 0.005) increase in statistics knowledge after completing introductory biology. Students improved their scores on the survey after completing introductory biology, even if they had previously completed an introductory statistics course (9%, improvement p < 0.005). Students retested 1 yr after completing introductory biology showed no loss of their statistics knowledge as measured by this instrument, suggesting that the use of statistics in biology course work may aid long-term retention of statistics knowledge. No statistically significant differences in learning were detected between male and female students in the study. PMID:18765754
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Applications of statistics to medical science, IV survival analysis.
Watanabe, Hiroshi
2012-01-01
The fundamental principles of survival analysis are reviewed. In particular, the Kaplan-Meier method and a proportional hazard model are discussed. This work is the last part of a series in which medical statistics are surveyed.
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2016-11-15
participants who were followed for the development of back pain for an average of 3.9 years. Methods. Descriptive statistics and longitudinal...health, military personnel, occupational health, outcome assessment, statistics, survey methodology . Level of Evidence: 3 Spine 2016;41:1754–1763ack...based on the National Health and Nutrition Examination Survey.21 Statistical Analysis Descriptive and univariate analyses compared character- istics
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Computer and Software Use in Teaching the Beginning Statistics Course.
ERIC Educational Resources Information Center
Bartz, Albert E.; Sabolik, Marisa A.
2001-01-01
Surveys the extent of computer usage in the beginning statistics course and the variety of statistics software used. Finds that 69% of the psychology departments used computers in beginning statistics courses and 90% used computer-assisted data analysis in statistics or other courses. (CMK)
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The National Aquatic Resource Surveys (NARS) are a series of four statistical surveys conducted by the U.S. Environmental Protection Agency working in collaboration with states, tribal nations and other federal agencies. The surveys are conducted for lakes and reservoirs, streams...
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Applications of statistics to medical science (1) Fundamental concepts.
Watanabe, Hiroshi
2011-01-01
The conceptual framework of statistical tests and statistical inferences are discussed, and the epidemiological background of statistics is briefly reviewed. This study is one of a series in which we survey the basics of statistics and practical methods used in medical statistics. Arguments related to actual statistical analysis procedures will be made in subsequent papers.
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Research Education in Undergraduate Occupational Therapy Programs.
ERIC Educational Resources Information Center
Petersen, Paul; And Others
1992-01-01
Of 63 undergraduate occupational therapy programs surveyed, the 38 responses revealed some common areas covered: elementary descriptive statistics, validity, reliability, and measurement. Areas underrepresented include statistical analysis with or without computers, research design, and advanced statistics. (SK)
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2017-03-01
53 ix LIST OF TABLES Table 1. Descriptive Statistics for Control Variables by... Statistics for Control Variables by Gender (Random Subsample with Complete Survey) ............................................................30 Table...empirical analysis. Chapter IV describes the summary statistics and results. Finally, Chapter V offers concluding thoughts, study limitations, and
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A Survey of Probabilistic Methods for Dynamical Systems with Uncertain Parameters.
1986-05-01
J., "An Approach to the Theoretical Background of Statistical Energy Analysis Applied to Structural Vibration," Journ. Acoust. Soc. Amer., Vol. 69...1973, Sect. 8.3. 80. Lyon, R.H., " Statistical Energy Analysis of Dynamical Systems," M.I.T. Press, 1975. e) Late References added in Proofreading !! 81...Dowell, E.H., and Kubota, Y., "Asymptotic Modal Analysis and ’~ y C-" -165- Statistical Energy Analysis of Dynamical Systems," Journ. Appi. - Mech
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Regional analysis of population trajectories from the North American Breeding Bird Survey
Sauer, J.R.; Link, W.A.; Helbig, Andreas J.; Flade, Martin
1999-01-01
The North American Breeding Bird Survey (BBS) was started in 1966, and provides information on population change and distribution for most of the birds in North America. The geographic extent of the survey, and the logistical compromises needed to survey such a large area, present many challenges for estimation from BBS data. In this paper, we describe the survey and discuss some of the limitations of the survey design and implementation. Analysis of the survey has evolved over time as new statistical methods and insights into the analysis of count data are developed. Survey results and analysis tools for the BBS are now available over intemet; we present new methods that use generalized linear models for estimation of population change and empirical Bayes procedures for regional summaries.
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How Big of a Problem is Analytic Error in Secondary Analyses of Survey Data?
West, Brady T; Sakshaug, Joseph W; Aurelien, Guy Alain S
2016-01-01
Secondary analyses of survey data collected from large probability samples of persons or establishments further scientific progress in many fields. The complex design features of these samples improve data collection efficiency, but also require analysts to account for these features when conducting analysis. Unfortunately, many secondary analysts from fields outside of statistics, biostatistics, and survey methodology do not have adequate training in this area, and as a result may apply incorrect statistical methods when analyzing these survey data sets. This in turn could lead to the publication of incorrect inferences based on the survey data that effectively negate the resources dedicated to these surveys. In this article, we build on the results of a preliminary meta-analysis of 100 peer-reviewed journal articles presenting analyses of data from a variety of national health surveys, which suggested that analytic errors may be extremely prevalent in these types of investigations. We first perform a meta-analysis of a stratified random sample of 145 additional research products analyzing survey data from the Scientists and Engineers Statistical Data System (SESTAT), which describes features of the U.S. Science and Engineering workforce, and examine trends in the prevalence of analytic error across the decades used to stratify the sample. We once again find that analytic errors appear to be quite prevalent in these studies. Next, we present several example analyses of real SESTAT data, and demonstrate that a failure to perform these analyses correctly can result in substantially biased estimates with standard errors that do not adequately reflect complex sample design features. Collectively, the results of this investigation suggest that reviewers of this type of research need to pay much closer attention to the analytic methods employed by researchers attempting to publish or present secondary analyses of survey data.
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How Big of a Problem is Analytic Error in Secondary Analyses of Survey Data?
West, Brady T.; Sakshaug, Joseph W.; Aurelien, Guy Alain S.
2016-01-01
Secondary analyses of survey data collected from large probability samples of persons or establishments further scientific progress in many fields. The complex design features of these samples improve data collection efficiency, but also require analysts to account for these features when conducting analysis. Unfortunately, many secondary analysts from fields outside of statistics, biostatistics, and survey methodology do not have adequate training in this area, and as a result may apply incorrect statistical methods when analyzing these survey data sets. This in turn could lead to the publication of incorrect inferences based on the survey data that effectively negate the resources dedicated to these surveys. In this article, we build on the results of a preliminary meta-analysis of 100 peer-reviewed journal articles presenting analyses of data from a variety of national health surveys, which suggested that analytic errors may be extremely prevalent in these types of investigations. We first perform a meta-analysis of a stratified random sample of 145 additional research products analyzing survey data from the Scientists and Engineers Statistical Data System (SESTAT), which describes features of the U.S. Science and Engineering workforce, and examine trends in the prevalence of analytic error across the decades used to stratify the sample. We once again find that analytic errors appear to be quite prevalent in these studies. Next, we present several example analyses of real SESTAT data, and demonstrate that a failure to perform these analyses correctly can result in substantially biased estimates with standard errors that do not adequately reflect complex sample design features. Collectively, the results of this investigation suggest that reviewers of this type of research need to pay much closer attention to the analytic methods employed by researchers attempting to publish or present secondary analyses of survey data. PMID:27355817
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Pre-installation customer satisfaction survey
DOT National Transportation Integrated Search
1996-10-01
The National Center for Statistics and Analysis (NCSA) Information Services Branch (ISB) required a more effective method of receiving, tracking, and completing requests for data, statistics, and information. To enhance ISBs services, a new cus...
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NASA Astrophysics Data System (ADS)
Vigan, A.; Chauvin, G.; Bonavita, M.; Desidera, S.; Bonnefoy, M.; Mesa, D.; Beuzit, J.-L.; Augereau, J.-C.; Biller, B.; Boccaletti, A.; Brugaletta, E.; Buenzli, E.; Carson, J.; Covino, E.; Delorme, P.; Eggenberger, A.; Feldt, M.; Hagelberg, J.; Henning, T.; Lagrange, A.-M.; Lanzafame, A.; Ménard, F.; Messina, S.; Meyer, M.; Montagnier, G.; Mordasini, C.; Mouillet, D.; Moutou, C.; Mugnier, L.; Quanz, S. P.; Reggiani, M.; Ségransan, D.; Thalmann, C.; Waters, R.; Zurlo, A.
2014-01-01
Over the past decade, a growing number of deep imaging surveys have started to provide meaningful constraints on the population of extrasolar giant planets at large orbital separation. Primary targets for these surveys have been carefully selected based on their age, distance and spectral type, and often on their membership to young nearby associations where all stars share common kinematics, photometric and spectroscopic properties. The next step is a wider statistical analysis of the frequency and properties of low mass companions as a function of stellar mass and orbital separation. In late 2009, we initiated a coordinated European Large Program using angular differential imaging in the H band (1.66 μm) with NaCo at the VLT. Our aim is to provide a comprehensive and statistically significant study of the occurrence of extrasolar giant planets and brown dwarfs at large (5-500 AU) orbital separation around ~150 young, nearby stars, a large fraction of which have never been observed at very deep contrast. The survey has now been completed and we present the data analysis and detection limits for the observed sample, for which we reach the planetary-mass domain at separations of >~50 AU on average. We also present the results of the statistical analysis that has been performed over the 75 targets newly observed at high-contrast. We discuss the details of the statistical analysis and the physical constraints that our survey provides for the frequency and formation scenario of planetary mass companions at large separation.
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A Survey of Statistical Capstone Projects
ERIC Educational Resources Information Center
Martonosi, Susan E.; Williams, Talithia D.
2016-01-01
In this article, we highlight the advantages of incorporating a statistical capstone experience in the undergraduate curriculum, where students perform an in-depth analysis of real-world data. Capstone experiences develop statistical thinking by allowing students to engage in a consulting-like experience that requires skills outside the scope of…
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Private forest owners and invasive plants: risk perception and management
A. Paige Fischer; Susan Charnley
2012-01-01
We investigated nonindustrial private forest (NIPF) owners' invasive plant risk perceptions and mitigation practices using statistical analysis of mail survey data and qualitative analysis of interview data collected in Oregon's ponderosa pine zone. We found that 52% of the survey sample was aware of invasive plant species considered problematic by local...
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NASA Astrophysics Data System (ADS)
Carlstrom, John E.
2016-06-01
The now standard model of cosmology has been tested and refined by the analysis of increasingly sensitive, large astronomical surveys, especially with statistically significant millimeter-wave surveys of the cosmic microwave background and optical surveys of the distribution of galaxies. This talk will offer a glimpse of the future, which promises an acceleration of this trend with cosmological information coming from new surveys across the electromagnetic spectrum as well as particles and even gravitational waves.
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Forest statistics for Southeast Louisiana Parishes
James F. Rosson; Daniel F. Bertelson
1986-01-01
The Southern Forest Survey, an activity of the Southern Forest Experiment Station Forest Inventory and Analysis work unit (FIA), covers the states of Alabama, Arkansas, Louisiana, Mississippi, Oklahoma, Tennessee, Texas and the island of Puerto Rico.This survey is part of the nationwide Forest Survey originally authorized by the McSweeney-...
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7 CFR 601.1 - Functions assigned.
Code of Federal Regulations, 2013 CFR
2013-01-01
...) National Resources Inventory (NRI) that is a statistically-based survey designed and implemented using... both the provisions of the Food Security Act and Section 404 of the Clean Water Act. (ii) Soil surveys.... Soil surveys are based on scientific analysis and classification of the soils and are used to determine...
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7 CFR 601.1 - Functions assigned.
Code of Federal Regulations, 2011 CFR
2011-01-01
...) National Resources Inventory (NRI) that is a statistically-based survey designed and implemented using... both the provisions of the Food Security Act and Section 404 of the Clean Water Act. (ii) Soil surveys.... Soil surveys are based on scientific analysis and classification of the soils and are used to determine...
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7 CFR 601.1 - Functions assigned.
Code of Federal Regulations, 2012 CFR
2012-01-01
...) National Resources Inventory (NRI) that is a statistically-based survey designed and implemented using... both the provisions of the Food Security Act and Section 404 of the Clean Water Act. (ii) Soil surveys.... Soil surveys are based on scientific analysis and classification of the soils and are used to determine...
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7 CFR 601.1 - Functions assigned.
Code of Federal Regulations, 2014 CFR
2014-01-01
...) National Resources Inventory (NRI) that is a statistically-based survey designed and implemented using... both the provisions of the Food Security Act and Section 404 of the Clean Water Act. (ii) Soil surveys.... Soil surveys are based on scientific analysis and classification of the soils and are used to determine...
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7 CFR 601.1 - Functions assigned.
Code of Federal Regulations, 2010 CFR
2010-01-01
...) National Resources Inventory (NRI) that is a statistically-based survey designed and implemented using... both the provisions of the Food Security Act and Section 404 of the Clean Water Act. (ii) Soil surveys.... Soil surveys are based on scientific analysis and classification of the soils and are used to determine...
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VanTrump, G.; Miesch, A.T.
1977-01-01
RASS is an acronym for Rock Analysis Storage System and STATPAC, for Statistical Package. The RASS and STATPAC computer programs are integrated into the RASS-STATPAC system for the management and statistical reduction of geochemical data. The system, in its present form, has been in use for more than 9 yr by scores of U.S. Geological Survey geologists, geochemists, and other scientists engaged in a broad range of geologic and geochemical investigations. The principal advantage of the system is the flexibility afforded the user both in data searches and retrievals and in the manner of statistical treatment of data. The statistical programs provide for most types of statistical reduction normally used in geochemistry and petrology, but also contain bridges to other program systems for statistical processing and automatic plotting. ?? 1977.
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Watanabe, Hiroshi
2012-01-01
Procedures of statistical analysis are reviewed to provide an overview of applications of statistics for general use. Topics that are dealt with are inference on a population, comparison of two populations with respect to means and probabilities, and multiple comparisons. This study is the second part of series in which we survey medical statistics. Arguments related to statistical associations and regressions will be made in subsequent papers.
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Forest statistics for New Hampshire
Thomas S. Frieswyk; Anne M. Malley
1985-01-01
This is a statistical report on the fourth forest survey of New Hampshire conducted in 1982-83 by the Forest Inventory and Analysis Unit, Northeastern Forest Experiment Station. Statistics for forest area, numbers of trees, timber volume, tree biomass, and timber products output are displayed at the state, unit, and county levels. The current inventory indicates that...
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Hierarchical models and bayesian analysis of bird survey information
John R. Sauer; William A. Link; J. Andrew Royle
2005-01-01
Summary of bird survey information is a critical component of conservation activities, but often our summaries rely on statistical methods that do not accommodate the limitations of the information. Prioritization of species requires ranking and analysis of species by magnitude of population trend, but often magnitude of trend is a misleading measure of actual decline...
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ERIC Educational Resources Information Center
Raker, Jeffrey R.; Holme, Thomas A.
2014-01-01
A cluster analysis was conducted with a set of survey data on chemistry faculty familiarity with 13 assessment terms. Cluster groupings suggest a high, middle, and low overall familiarity with the terminology and an independent high and low familiarity with terms related to fundamental statistics. The six resultant clusters were found to be…
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Forest statistics for South Delta Louisiana Parishes
James F. Rosson; Daniel F. Bertelson
1986-01-01
The Southern Forest Survey an activity of the southern forest inventory and analysis work unit (FIA), covers the stats of Alabama, Arkansas, Louisiana, Mississippi, Oklahoma, Tennessee, Texas and the island of Puerto Rico.This survey is part of the nationwide Forest survey originally authorized by the McSweeney-McNary Act of 1928. More...
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Forest statistics for Louisiana Parishes
Dennis M. May; Daniel F. Bertelson
1986-01-01
The southern Forest survey, an activity of the Southern Forest Experiment Station Forest Inventory and Analysis work unit, covers the states of Alabama, Arkansas, Louisiana, Mississippi, Oklahoma, Tennessee, East Texas and the Island of Puerto Rico. This survey is part of the nationwide Forest Survey originally authorized by the McSweeney-McNary Act of 1928. More...
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Forest statistics for Arkansas' Ozark counties - 1995
James F. Rosson; Jack D. London
1997-01-01
Periodic surveys of forest resources are authorized by the Forest Service and Rangeland Renewable Resources Research Act of 1978. These surveys are a continuing, nationwide undertaking by the Regional Experiment Stations of the USDA Forest Service. In the Southern United States, these surveys are conducted by the two Forest Inventory and Analysis (FIA) Research Work...
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Forest statistics for Arkansas counties - 1995
Jack D. London
1997-01-01
Periodic surveys of forest resources are authorized by the Forest Service and Rangeland Renewable Resources Research Act of 1978. These surveys are a continuing, nationwide undertaking by the Regional Experiment Stations of the USDA Forest Service. In the Southern United States, these surveys are conducted by the two Forest Inventory and Analysis (FIA) Research Work...
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Forest statistics for Arkansas' Ouachita counties - 1995
James F. Rosson; Jack D. London
1997-01-01
Periodic surveys of forest resources are authorized by the Forest Service and Rangeland Renewable Resources Research Act of 1978. These surveys are a continuing, nationwide undertaking by the Regional Experiment Stations of the USDA Forest Service. In the Southern United States, these surveys are conducted by the two Forest Inventory and Analysis (FIA) Research Work...
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NASA Technical Reports Server (NTRS)
Zimmerman, G. A.; Olsen, E. T.
1992-01-01
Noise power estimation in the High-Resolution Microwave Survey (HRMS) sky survey element is considered as an example of a constant false alarm rate (CFAR) signal detection problem. Order-statistic-based noise power estimators for CFAR detection are considered in terms of required estimator accuracy and estimator dynamic range. By limiting the dynamic range of the value to be estimated, the performance of an order-statistic estimator can be achieved by simpler techniques requiring only a single pass of the data. Simple threshold-and-count techniques are examined, and it is shown how several parallel threshold-and-count estimation devices can be used to expand the dynamic range to meet HRMS system requirements with minimal hardware complexity. An input/output (I/O) efficient limited-precision order-statistic estimator with wide but limited dynamic range is also examined.
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Applied statistical training to strengthen analysis and health research capacity in Rwanda.
Thomson, Dana R; Semakula, Muhammed; Hirschhorn, Lisa R; Murray, Megan; Ndahindwa, Vedaste; Manzi, Anatole; Mukabutera, Assumpta; Karema, Corine; Condo, Jeanine; Hedt-Gauthier, Bethany
2016-09-29
To guide efficient investment of limited health resources in sub-Saharan Africa, local researchers need to be involved in, and guide, health system and policy research. While extensive survey and census data are available to health researchers and program officers in resource-limited countries, local involvement and leadership in research is limited due to inadequate experience, lack of dedicated research time and weak interagency connections, among other challenges. Many research-strengthening initiatives host prolonged fellowships out-of-country, yet their approaches have not been evaluated for effectiveness in involvement and development of local leadership in research. We developed, implemented and evaluated a multi-month, deliverable-driven, survey analysis training based in Rwanda to strengthen skills of five local research leaders, 15 statisticians, and a PhD candidate. Research leaders applied with a specific research question relevant to country challenges and committed to leading an analysis to publication. Statisticians with prerequisite statistical training and experience with a statistical software applied to participate in class-based trainings and complete an assigned analysis. Both statisticians and research leaders were provided ongoing in-country mentoring for analysis and manuscript writing. Participants reported a high level of skill, knowledge and collaborator development from class-based trainings and out-of-class mentorship that were sustained 1 year later. Five of six manuscripts were authored by multi-institution teams and submitted to international peer-reviewed scientific journals, and three-quarters of the participants mentored others in survey data analysis or conducted an additional survey analysis in the year following the training. Our model was effective in utilizing existing survey data and strengthening skills among full-time working professionals without disrupting ongoing work commitments and using few resources. Critical to our success were a transparent, robust application process and time limited training supplemented by ongoing, in-country mentoring toward manuscript deliverables that were led by Rwanda's health research leaders.
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Forest statistics for Vermont: 1973 and 1983
Thomas S. Frieswyk; Anne M. Malley
1985-01-01
A statistical report on the fourth forest survey of Vermont conducted in 1982-1983 by the Forest Inventory and Analysis Unit, Northeastern Forest Experiment Station. Statistics for forest area, numbers of trees, timber volume, tree biomass, and timber products output are displayed at the state, unit, and county levels. The current inventory indicates that the state has...
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Applications of statistics to medical science, III. Correlation and regression.
Watanabe, Hiroshi
2012-01-01
In this third part of a series surveying medical statistics, the concepts of correlation and regression are reviewed. In particular, methods of linear regression and logistic regression are discussed. Arguments related to survival analysis will be made in a subsequent paper.
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Forest statistics for east Texas counties - 1986
Linda L. Lang; Daniel F. Bertelson
1987-01-01
The southern forest survey, an activity of the southern forest experiment station forest inventory and analysis work unit, covers the states of Alabama, Arkansas, Louisiana, Mississippi, Oklahoma, Tennessee, east Texas and the island of Puerto Rico. This survey is part of the nationwide forest survey originally authorized by the McSweeney-McNary Act of 1928. More...
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Forest statistics for Northeast Texas counties - 1986
William H. McWilliams; Daniel F. Bertelson
1986-01-01
The Southern Forest Survey, an activity of the southern forest experiment station forest inventory and analysis work unit, covers the stats of Alabama, Arkansas, Louisiana, Mississippi, Oklahoma, Tennessee, east Texas and the island of Puerto Rico. This survey is part of the nationwide forest survey originally authorized by the McSweeney-McNary Act of 1928. More recent...
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Forest statistics for east Oklahoma counties - 1986
Franklin D. Hines; Daniel F. Bertelson
1987-01-01
The Southern Forest Survey, an activity of the southern forest experiment station forest inventory and analysis work unit, covers the stats of Alabama, Arkansas, Louisiana, Mississippi, Oklahoma, Tennessee, east Texas and the island of Puerto Rico. This survey is part of the nationwide forest survey originally authorized by the McSweeney-McNary Act of 1928. More recent...
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Forest statistics for North Delta Louisiana parishes
James F. Rosson; Daniel F. Bertelson
1986-01-01
The southern Forest survey, an activity of the Southern Forest Experiment Station Forest Inventory and Analysis work unit, covers the states of Alabama, Arkansas, Louisiana, Mississippi, Oklahoma, Tennessee, East Texas and the Island of Puerto Rico. This survey is part of the nationwide Forest Survey originally authorized by the McSweeney-McNary Act of 1928. More...
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Forest statistics for Northeast Oklahoma counties - 1986
Richard A. Birdsey; Daniel F. Bertelson
1987-01-01
The Southern Forest Survey, an activity of the southern forest experiment station forest inventory and analysis work unit, covers the stats of Alabama, Arkansas, Louisiana, Mississippi, Oklahoma, Tennessee, east Texas and the island of Puerto Rico. This survey is part of the nationwide forest survey originally authorized by the McSweeney-McNary Act of 1928. More recent...
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Lu, Z. Q. J.; Lowhorn, N. D.; Wong-Ng, W.; Zhang, W.; Thomas, E. L.; Otani, M.; Green, M. L.; Tran, T. N.; Caylor, C.; Dilley, N. R.; Downey, A.; Edwards, B.; Elsner, N.; Ghamaty, S.; Hogan, T.; Jie, Q.; Li, Q.; Martin, J.; Nolas, G.; Obara, H.; Sharp, J.; Venkatasubramanian, R.; Willigan, R.; Yang, J.; Tritt, T.
2009-01-01
In an effort to develop a Standard Reference Material (SRM™) for Seebeck coefficient, we have conducted a round-robin measurement survey of two candidate materials—undoped Bi2Te3 and Constantan (55 % Cu and 45 % Ni alloy). Measurements were performed in two rounds by twelve laboratories involved in active thermoelectric research using a number of different commercial and custom-built measurement systems and techniques. In this paper we report the detailed statistical analyses on the interlaboratory measurement results and the statistical methodology for analysis of irregularly sampled measurement curves in the interlaboratory study setting. Based on these results, we have selected Bi2Te3 as the prototype standard material. Once available, this SRM will be useful for future interlaboratory data comparison and instrument calibrations. PMID:27504212
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Harris, Alex H S; Reeder, Rachelle; Hyun, Jenny K
2009-10-01
Journal editors and statistical reviewers are often in the difficult position of catching serious problems in submitted manuscripts after the research is conducted and data have been analyzed. We sought to learn from editors and reviewers of major psychiatry journals what common statistical and design problems they most often find in submitted manuscripts and what they wished to communicate to authors regarding these issues. Our primary goal was to facilitate communication between journal editors/reviewers and researchers/authors and thereby improve the scientific and statistical quality of research and submitted manuscripts. Editors and statistical reviewers of 54 high-impact psychiatry journals were surveyed to learn what statistical or design problems they encounter most often in submitted manuscripts. Respondents completed the survey online. The authors analyzed survey text responses using content analysis procedures to identify major themes related to commonly encountered statistical or research design problems. Editors and reviewers (n=15) who handle manuscripts from 39 different high-impact psychiatry journals responded to the survey. The most commonly cited problems regarded failure to map statistical models onto research questions, improper handling of missing data, not controlling for multiple comparisons, not understanding the difference between equivalence and difference trials, and poor controls in quasi-experimental designs. The scientific quality of psychiatry research and submitted reports could be greatly improved if researchers became sensitive to, or sought consultation on frequently encountered methodological and analytic issues.
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75 FR 160 - Paperwork Reduction Act; 30-Day Notice
Federal Register 2010, 2011, 2012, 2013, 2014
2010-01-04
... Cohen, ONDCP, Office of Research and Data Analysis. Dated: December 29, 2009. Daniel R. Petersen, Deputy... support statistical trend analysis. Frequency: Ten sites will each conduct two cycles of surveys from 250...
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Analysis of carpooling in Missouri and an evaluation of Missouri's carpool services
DOE Office of Scientific and Technical Information (OSTI.GOV)
Barnett, D.R.
1984-12-10
The evaluation is both a statistical profile of carpooling in Missouri as well as an experimental use of utilizing secondary data analysis in combination with clientele surveys to measure the impact of the Division of Energy's carpooling programs. Kansas City, mid-Missouri and St. Louis are examined. Secondary data analysis seems to indicate that during the period from 1980 to 1983 carpooling increased but vehicle occupancy counts decreased simultaneously with increasing gasoline prices. The evaluation theorizes that the Civilian Labor Force masked carpool statistics - growing at a faster rate than the carpooling growth rate. In conjunction with clientele surveys, themore » secondary data analysis measures the Division of Energy's impact on carpooling at 2.6% of all carpoolers in Kansas City and 1.0% of all carpoolers in St. Louis during 1983.« less
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NASA Technical Reports Server (NTRS)
Purves, L.; Strang, R. F.; Dube, M. P.; Alea, P.; Ferragut, N.; Hershfeld, D.
1983-01-01
The software and procedures of a system of programs used to generate a report of the statistical correlation between NASTRAN modal analysis results and physical tests results from modal surveys are described. Topics discussed include: a mathematical description of statistical correlation, a user's guide for generating a statistical correlation report, a programmer's guide describing the organization and functions of individual programs leading to a statistical correlation report, and a set of examples including complete listings of programs, and input and output data.
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78 FR 36160 - Notice of Intent To Request New Information Collection
Federal Register 2010, 2011, 2012, 2013, 2014
2013-06-17
... Economic Research Service's intention to request approval for a new information collection for a Survey on... and confidential. Survey responses will be used for statistical analysis and to produce research... DEPARTMENT OF AGRICULTURE Economic Research Service Notice of Intent To Request New Information...
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A phylogenetic transform enhances analysis of compositional microbiota data.
Silverman, Justin D; Washburne, Alex D; Mukherjee, Sayan; David, Lawrence A
2017-02-15
Surveys of microbial communities (microbiota), typically measured as relative abundance of species, have illustrated the importance of these communities in human health and disease. Yet, statistical artifacts commonly plague the analysis of relative abundance data. Here, we introduce the PhILR transform, which incorporates microbial evolutionary models with the isometric log-ratio transform to allow off-the-shelf statistical tools to be safely applied to microbiota surveys. We demonstrate that analyses of community-level structure can be applied to PhILR transformed data with performance on benchmarks rivaling or surpassing standard tools. Additionally, by decomposing distance in the PhILR transformed space, we identified neighboring clades that may have adapted to distinct human body sites. Decomposing variance revealed that covariation of bacterial clades within human body sites increases with phylogenetic relatedness. Together, these findings illustrate how the PhILR transform combines statistical and phylogenetic models to overcome compositional data challenges and enable evolutionary insights relevant to microbial communities.
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Influence of Deployment on the Use of E-Cigarettes in the United States Army and Air Force
2018-03-22
the "Tobacco Use Among Service Members" survey sponsored by the Murtha Cancer Center and the Postgraduate Dental School of the Uniformed Services...the study period, and were willing to complete the survey . The survey was voluntary and anonymous; no personally identifiable information was...collected about participants. Statistical analysis of the data obtained from this survey database was performed using SAS. The independent variables were
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Vellani, Karim H
2016-10-01
In this article, the author analyzes the possible reasons for the reported drop in hospital violence in the 2016IAHSS Crime Survey compared to previous surveys. He also reviews the one statistic that has remained constant in all the recent crime surveys and recommends an approach in violence prevention programs that may prove successful in reducing workplace violence and staff injuries.
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NASA Astrophysics Data System (ADS)
Dennison, Andrew G.
Classification of the seafloor substrate can be done with a variety of methods. These methods include Visual (dives, drop cameras); mechanical (cores, grab samples); acoustic (statistical analysis of echosounder returns). Acoustic methods offer a more powerful and efficient means of collecting useful information about the bottom type. Due to the nature of an acoustic survey, larger areas can be sampled, and by combining the collected data with visual and mechanical survey methods provide greater confidence in the classification of a mapped region. During a multibeam sonar survey, both bathymetric and backscatter data is collected. It is well documented that the statistical characteristic of a sonar backscatter mosaic is dependent on bottom type. While classifying the bottom-type on the basis on backscatter alone can accurately predict and map bottom-type, i.e a muddy area from a rocky area, it lacks the ability to resolve and capture fine textural details, an important factor in many habitat mapping studies. Statistical processing of high-resolution multibeam data can capture the pertinent details about the bottom-type that are rich in textural information. Further multivariate statistical processing can then isolate characteristic features, and provide the basis for an accurate classification scheme. The development of a new classification method is described here. It is based upon the analysis of textural features in conjunction with ground truth sampling. The processing and classification result of two geologically distinct areas in nearshore regions of Lake Superior; off the Lester River,MN and Amnicon River, WI are presented here, using the Minnesota Supercomputer Institute's Mesabi computing cluster for initial processing. Processed data is then calibrated using ground truth samples to conduct an accuracy assessment of the surveyed areas. From analysis of high-resolution bathymetry data collected at both survey sites is was possible to successfully calculate a series of measures that describe textural information about the lake floor. Further processing suggests that the features calculated capture a significant amount of statistical information about the lake floor terrain as well. Two sources of error, an anomalous heave and refraction error significantly deteriorated the quality of the processed data and resulting validate results. Ground truth samples used to validate the classification methods utilized for both survey sites, however, resulted in accuracy values ranging from 5 -30 percent at the Amnicon River, and between 60-70 percent for the Lester River. The final results suggest that this new processing methodology does adequately capture textural information about the lake floor and does provide an acceptable classification in the absence of significant data quality issues.
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Racial and Gender Disparities in the Physician Assistant Profession.
Smith, Darron T; Jacobson, Cardell K
2016-06-01
To examine whether racial, gender, and ethnic salary disparities exist in the physician assistant (PA) profession and what factors, if any, are associated with the differentials. We use a nationally representative survey of 15,105 PAs from the American Academy of Physician Assistants (AAPA). We use bivariate and multivariate statistics to analyze pay differentials from the 2009 AAPA survey. Women represent nearly two-thirds of the profession but receive approximately $18,000 less in primary compensation. The differential reduces to just over $9,500 when the analysis includes a variety of other variables. According to AAPA survey, minority PAs tend to make slightly higher salaries than White PAs nationally, although the differences are not statistically significant once the control variables are included in the analysis. Despite the rough parity in primary salary, PAs of color are vastly underrepresented in the profession. The salaries of women lag in comparison to their male counterparts. © Health Research and Educational Trust.
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Alcañiz-Zanón, Manuela; Mompart-Penina, Anna; Guillén-Estany, Montserrat; Medina-Bustos, Antonia; Aragay-Barbany, Josep M; Brugulat-Guiteras, Pilar; Tresserras-Gaju, Ricard
2014-01-01
This article presents the genesis of the Health Survey of Catalonia (Spain, 2010-2014) with its semiannual subsamples and explains the basic characteristics of its multistage sampling design. In comparison with previous surveys, the organizational advantages of this new statistical operation include rapid data availability and the ability to continuously monitor the population. The main benefits are timeliness in the production of indicators and the possibility of introducing new topics through the supplemental questionnaire as a function of needs. Limitations consist of the complexity of the sample design and the lack of longitudinal follow-up of the sample. Suitable sampling weights for each specific subsample are necessary for any statistical analysis of micro-data. Accuracy in the analysis of territorial disaggregation or population subgroups increases if annual samples are accumulated. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.
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78 FR 50373 - Proposed Information Collection; Comment Request; Annual Capital Expenditures Survey
Federal Register 2010, 2011, 2012, 2013, 2014
2013-08-19
... source of detailed comprehensive statistics on actual business spending for non-farm companies, non- governmental companies, organizations, and associations operating in the United States. Both employer and nonemployer companies are included in the survey. The Bureau of Economic Analysis, the primary Federal user of...
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New Directions in Intramurals and Recreation.
ERIC Educational Resources Information Center
Fabian, Louis A.
This survey attempts to verify and delineate the trends in intramural physical education. Surveys were mailed to 395 colleges and universities in November of 1975. Two hundred and thirty three (56.6%) were returned for statistical analysis, but the number of responses to questions varied because not all questions were applicable to every…
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Mental-behavioral health data: 2001 NHIS.
Lied, Terry R
2004-01-01
These data highlights are based on analysis of the 2001 National Health Interview Survey (NHIS) public use data (http://www.cdc. gov/nchs/nhis.htm). NHIS is a multi-purpose survey conducted by the National Center for Health Statistics, Centers for Disease Control and Prevention. NHIS has been conducted continuously since 1957.
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2012 Workplace and Gender Relations Survey of Active Duty Members: Nonresponse Bias Analysis Report
2014-01-01
Control and Prevention ), or command climate surveys (e.g., DEOCS). 6 Table 1. Comparison of Trends in WGRA and SOFS-A Response Rates (Shown in...DMDC draws optimized samples to reduce survey burden on members as well as produce high levels of precision for important domain estimates by using...statistical significance at α= .05 Because paygrade is a significant predictor of survey response, we next examined the odds ratio of each paygrade levels
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The Global Oscillation Network Group site survey. 1: Data collection and analysis methods
NASA Technical Reports Server (NTRS)
Hill, Frank; Fischer, George; Grier, Jennifer; Leibacher, John W.; Jones, Harrison B.; Jones, Patricia P.; Kupke, Renate; Stebbins, Robin T.
1994-01-01
The Global Oscillation Network Group (GONG) Project is planning to place a set of instruments around the world to observe solar oscillations as continuously as possible for at least three years. The Project has now chosen the sites that will comprise the network. This paper describes the methods of data collection and analysis that were used to make this decision. Solar irradiance data were collected with a one-minute cadence at fifteen sites around the world and analyzed to produce statistics of cloud cover, atmospheric extinction, and transparency power spectra at the individual sites. Nearly 200 reasonable six-site networks were assembled from the individual stations, and a set of statistical measures of the performance of the networks was analyzed using a principal component analysis. An accompanying paper presents the results of the survey.
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Older and Younger Workers: The Equalling Effects of Health
ERIC Educational Resources Information Center
Beck, Vanessa; Quinn, Martin
2012-01-01
Purpose: The purpose of this paper is to consider the statistical evidence on the effects that ill health has on labour market participation and opportunities for younger and older workers in the East Midlands (UK). Design/methodology/approach: A statistical analysis of Labour Force Survey data was undertaken to demonstrate that health issues…
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ERIC Educational Resources Information Center
Altonji, Joseph G.; Pierret, Charles R.
A statistical analysis was performed to test the hypothesis that, if profit-maximizing firms have limited information about the general productivity of new workers, they may choose to use easily observable characteristics such as years of education to discriminate statistically among workers. Information about employer learning was obtained by…
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Forest wildlife statistics for New Hampshire - 1983
Robert T. Brooks; Thomas S. Frieswyk; Anne M. Malley
1987-01-01
This is a statistical report on the first forest wildlife habitat survey of New Hampshire conducted in 1982-83 by the Forest Inventory, Analysis, and Economics Unit, Northeastern Forest Experiment Station, U.S. Department o f Agriculture, Broomall, Pennsylvania. Results are displayed in 58 tables covering forest area, ownership, land pattern, mast potential, standing...
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2003-07-01
4, Gnanadesikan , 1977). An entity whose measured features fall into one of the regions is classified accordingly. For the approaches we discuss here... Gnanadesikan , R. 1977. Methods for Statistical Data Analysis of Multivariate Observations. John Wiley & Sons, New York. Hassig, N. L., O’Brien, R. F
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Knowledge-Sharing Intention among Information Professionals in Nigeria: A Statistical Analysis
ERIC Educational Resources Information Center
Tella, Adeyinka
2016-01-01
In this study, the researcher administered a survey and developed and tested a statistical model to examine the factors that determine the intention of information professionals in Nigeria to share knowledge with their colleagues. The result revealed correlations between the overall score for intending to share knowledge and other…
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Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data
NASA Astrophysics Data System (ADS)
Kacprzak, T.; Kirk, D.; Friedrich, O.; Amara, A.; Refregier, A.; Marian, L.; Dietrich, J. P.; Suchyta, E.; Aleksić, J.; Bacon, D.; Becker, M. R.; Bonnett, C.; Bridle, S. L.; Chang, C.; Eifler, T. F.; Hartley, W. G.; Huff, E. M.; Krause, E.; MacCrann, N.; Melchior, P.; Nicola, A.; Samuroff, S.; Sheldon, E.; Troxel, M. A.; Weller, J.; Zuntz, J.; Abbott, T. M. C.; Abdalla, F. B.; Armstrong, R.; Benoit-Lévy, A.; Bernstein, G. M.; Bernstein, R. A.; Bertin, E.; Brooks, D.; Burke, D. L.; Carnero Rosell, A.; Carrasco Kind, M.; Carretero, J.; Castander, F. J.; Crocce, M.; D'Andrea, C. B.; da Costa, L. N.; Desai, S.; Diehl, H. T.; Evrard, A. E.; Neto, A. Fausti; Flaugher, B.; Fosalba, P.; Frieman, J.; Gerdes, D. W.; Goldstein, D. A.; Gruen, D.; Gruendl, R. A.; Gutierrez, G.; Honscheid, K.; Jain, B.; James, D. J.; Jarvis, M.; Kuehn, K.; Kuropatkin, N.; Lahav, O.; Lima, M.; March, M.; Marshall, J. L.; Martini, P.; Miller, C. J.; Miquel, R.; Mohr, J. J.; Nichol, R. C.; Nord, B.; Plazas, A. A.; Romer, A. K.; Roodman, A.; Rykoff, E. S.; Sanchez, E.; Scarpine, V.; Schubnell, M.; Sevilla-Noarbe, I.; Smith, R. C.; Soares-Santos, M.; Sobreira, F.; Swanson, M. E. C.; Tarle, G.; Thomas, D.; Vikram, V.; Walker, A. R.; Zhang, Y.; DES Collaboration
2016-12-01
Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 deg2 field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range 0
4 would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two-point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. We discuss prospects for future peak statistics analysis with upcoming DES data. -
The Kaiser Permanente Northern California Adult Member Health Survey.
Gordon, Nancy; Lin, Teresa
2016-01-01
The Kaiser Permanente Northern California (KPNC) Member Health Survey (MHS) is used to describe sociodemographic and health-related characteristics of the adult membership of this large, integrated health care delivery system to monitor trends over time, identify health disparities, and conduct research. To provide an overview of the KPNC MHS and share findings that illustrate how survey statistics and data have been and can be used for research and programmatic purposes. The MHS is a large-scale, institutional review board-approved survey of English-speaking KPNC adult members. The confidential survey has been conducted by mail triennially starting in 1993 with independent age-sex and geographically stratified random samples, with an option for online completion starting in 2005. The full survey sample and survey data are linkable at the individual level to Health Plan and geocoded data. Respondents are assigned weighting factors for their survey year and additional weighting factors for analysis of pooled survey data. Statistics from the 1999, 2002, 2005, 2008, and 2011 surveys show trends in sociodemographic and health-related characteristics and access to the Internet and e-mail for the adult membership aged 25 to 79 years and for 6 age-sex subgroups. Pooled data from the 2008 and 2011 surveys show many significant differences in these characteristics across the 5 largest race/ethnic groups in KPNC (non-Hispanic whites, blacks, Latinos, Filipinos, and Chinese). The KPNC MHS has yielded unique insights and provides an opportunity for researchers and public health organizations outside of KPNC to leverage our survey-generated statistics and collaborate on epidemiologic and health services research studies.
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Richard A. Birdsey; William H. McWilliams
1986-01-01
The forest inventory and analysis unit of the southern forest experiment stations (Forest Survey) conducts periodic inventories at approximately 10-year intervals of the forest resources of the Midsouth States (fig. 1). This report contains a summary of forest acreage estimates made between 1950 and 1985. The statistics are based on published forest survey reports and...
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Parent Expectations and Planning for College. Statistical Analysis Report. NCES 2008-079
ERIC Educational Resources Information Center
Lippman, Laura; Guzman, Lina; Keith, Julie Dombrowski; Kinukawa, Akemi; Shwalb, Rebecca; Tice, Peter
2008-01-01
This report uses data from the 2003 National Household Education Surveys Program (NHES) Parent and Family Involvement Survey (PFI) to examine the characteristics associated with the educational expectations parents had for their children and the postsecondary education planning practices families and schools engaged in. The results presented in…
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ERIC Educational Resources Information Center
Dubnjakovic, Ana
2012-01-01
The current study investigates factors influencing increase in reference transactions in a typical week in academic libraries across the United States of America. Employing multiple regression analysis and general linear modeling, variables of interest from the "Academic Library Survey (ALS) 2006" survey (sample size 3960 academic libraries) were…
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Federal Register 2010, 2011, 2012, 2013, 2014
2010-04-27
... the Bureau of Economic Analysis (BEA) for compiling the U.S. international transactions accounts (ITAs), which BEA publishes quarterly in news releases, on its Web site, and in its monthly journal, the Survey of Current Business. These accounts provide a statistical summary of all U.S. international...
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Physical Attacks: An Analysis of Teacher Characteristics Using the Schools and Staffing Survey
ERIC Educational Resources Information Center
Williams, Thomas O., Jr.; Ernst, Jeremy V.
2016-01-01
This study investigated physical attacks as reported by public school teachers on the most recent Schools and Staffing Survey (SASS) from the National Center for Education Statistics administered by the Institute of Educational Sciences. For this study, characteristics of teachers who responded affirmatively to having been physically attacked in…
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A Survey of Computer Use by Undergraduate Psychology Departments in Virginia.
ERIC Educational Resources Information Center
Stoloff, Michael L.; Couch, James V.
1987-01-01
Reports a survey of computer use in psychology departments in Virginia's four year colleges. Results showed that faculty, students, and clerical staff used word processing, statistical analysis, and database management most frequently. The three most numerous computers brands were the Apple II family, IBM PCs, and the Apple Macintosh. (Author/JDH)
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Training, Innovation and Business Performance: An Analysis of the Business Longitudinal Survey.
ERIC Educational Resources Information Center
Dockery, A. Michael
This paper uses the Australian Bureau of Statistics' Business Longitudinal Survey to explore relationships between training, innovation, and firm performance for Australian businesses with less than 200 employees. The longitudinal nature of the data is used to test various hypotheses about the nature of the link between training, business changes,…
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The Valuation of Non-Monetary Consumption in Household Surveys
ERIC Educational Resources Information Center
Muller, Christophe
2005-01-01
Many social indicators are based on household consumption information. The valuation of non-monetary operations is crucial for the analysis of consumption surveys in developing countries because of the importance of own-consumption and transfers in kind. What are the price statistics used in the valuation of consumption indicators? How is the…
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Mathias, C G; Morrison, J H
1988-10-01
The overall incidence rates, numbers, and proportions of occupational skin diseases recorded in the Bureau of Labor Statistics Annual Survey of Occupational Injuries and Illnesses, from 1973 through 1984, were reviewed, and a detailed analysis of occupational skin diseases recorded in the 1984 Annual Survey was performed. Overall incidence rates and numbers of cases declined from 1973 through 1983, but increased slightly in 1984. The major industrial divisions of agriculture and manufacturing have consistently had the highest rates and numbers of cases, respectively; skin diseases have accounted for almost two thirds of all occupational illnesses within agriculture. In the 1984 Annual Survey, 11 industries were ranked in the "Top 15" for both incidence rates and numbers of cases, at the two-digit Standard Industrial Classification level. At the four-digit level for manufacturing, four industries were also ranked in the "Top 15" for both indexes. This analysis has identified industries toward which research efforts should be directed to characterize those occupational activities or exposures most responsible for these higher risks.
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Mathematical background and attitudes toward statistics in a sample of Spanish college students.
Carmona, José; Martínez, Rafael J; Sánchez, Manuel
2005-08-01
To examine the relation of mathematical background and initial attitudes toward statistics of Spanish college students in social sciences the Survey of Attitudes Toward Statistics was given to 827 students. Multivariate analyses tested the effects of two indicators of mathematical background (amount of exposure and achievement in previous courses) on the four subscales. Analysis suggested grades in previous courses are more related to initial attitudes toward statistics than the number of mathematics courses taken. Mathematical background was related with students' affective responses to statistics but not with their valuing of statistics. Implications of possible research are discussed.
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Exploratory Analysis of Survey Data for Understanding Adoption of Novel Aerospace Systems
NASA Astrophysics Data System (ADS)
Reddy, Lauren M.
In order to meet the increasing demand for manned and unmanned flight, the air transportation system must constantly evolve. As new technologies or operational procedures are conceived, we must determine their effect on humans in the system. In this research, we introduce a strategy to assess how individuals or organizations would respond to a novel aerospace system. We employ the most appropriate and sophisticated exploratory analysis techniques on the survey data to generate insight and identify significant variables. We employ three different methods for eliciting views from individuals or organizations who are affected by a system: an opinion survey, a stated preference survey, and structured interviews. We conduct an opinion survey of both the general public and stakeholders in the unmanned aircraft industry to assess their knowledge, attitude, and practices regarding unmanned aircraft. We complete a statistical analysis of the multiple-choice questions using multinomial logit and multivariate probit models and conduct qualitative analysis on free-text questions. We next present a stated preference survey of the general public on the use of an unmanned aircraft package delivery service. We complete a statistical analysis of the questions using multinomial logit, ordered probit, linear regression, and negative binomial models. Finally, we discuss structured interviews conducted on stakeholders from ANSPs and airlines operating in the North Atlantic. We describe how these groups may choose to adopt a new technology (space-based ADS-B) or operational procedure (in-trail procedures). We discuss similarities and differences between the stakeholders groups, the benefits and costs of in-trail procedures and space-based ADS-B as reported by the stakeholders, and interdependencies between the groups interviewed. To demonstrate the value of the data we generated, we explore how the findings from the surveys can be used to better characterize uncertainty in the cost-benefit analysis of aerospace systems. We demonstrate how the findings from the opinion and stated preference surveys can be infused into the cost-benefit analysis of an unmanned aircraft delivery system. We also demonstrate how to apply the findings from the interviews to characterize uncertainty in the estimation of the benefits of space-based ADS-B.
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Liumbruno, Giancarlo Maria; Panetta, Valentina; Bonini, Rosaria; Chianese, Rosa; Fiorin, Francesco; Lupi, Maria Antonietta; Tomasini, Ivana; Grazzini, Giuliano
2011-01-01
Introduction The aim of the survey described in this article was to determine decisional and strategic factors useful for redefining minimum structural, technological and organisational requisites for transfusion structures, as well as for the production of guidelines for accreditation of transfusion structures by the National Blood Centre. Materials and methods A structured questionnaire containing 65 questions was sent to all Transfusion Services in Italy. The questions covered: management of the quality system, accreditation, conformity with professional standards, structural and technological requisites, as well as potential to supply transfusion medicine-related health care services. All the questionnaires returned underwent statistical analysis. Results Replies were received from 64.7% of the Transfusion Services. Thirty-nine percent of these had an ISO 9001 certificate, with marked differences according to geographical location; location-related differences were also present for responses to other questions and were confirmed by multivariate statistical analysis. Over half of the Transfusion Services (53.6%) had blood donation sites run by donor associations. The statistical analysis revealed only one statistically significant difference between these donation sites: those connected to certified Transfusion Services were more likely themselves to have ISO 9001 certification than those connected to services who did not have such certification. Conclusions The data collected in this survey are representative of the Italian national transfusion system. A re-definition of the authorisation and accreditation requisites for transfusion activities must take into account European and national legislation when determining these requisites in order to facilitate their effective applicability, promote their efficient fulfilment and enhance the development of homogeneous and transparent quality systems. PMID:21839026
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NASA Astrophysics Data System (ADS)
Balta, Nuri; Mason, Andrew J.; Singh, Chandralekha
2016-06-01
Students' attitudes and approaches to physics problem solving can impact how well they learn physics and how successful they are in solving physics problems. Prior research in the U.S. using a validated Attitude and Approaches to Problem Solving (AAPS) survey suggests that there are major differences between students in introductory physics and astronomy courses and physics experts in terms of their attitudes and approaches to physics problem solving. Here we discuss the validation, administration, and analysis of data for the Turkish version of the AAPS survey for high school and university students in Turkey. After the validation and administration of the Turkish version of the survey, the analysis of the data was conducted by grouping the data by grade level, school type, and gender. While there are no statistically significant differences between the averages of various groups on the survey, overall, the university students in Turkey were more expertlike than vocational high school students. On an item by item basis, there are statistically differences between the averages of the groups on many items. For example, on average, the university students demonstrated less expertlike attitudes about the role of equations and formulas in problem solving, in solving difficult problems, and in knowing when the solution is not correct, whereas they displayed more expertlike attitudes and approaches on items related to metacognition in physics problem solving. A principal component analysis on the data yields item clusters into which the student responses on various survey items can be grouped. A comparison of the responses of the Turkish and American university students enrolled in algebra-based introductory physics courses shows that on more than half of the items, the responses of these two groups were statistically significantly different, with the U.S. students on average responding to the items in a more expertlike manner.
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2016 Workplace and Gender Relations Survey of Active Duty Members: Statistical Methodology Report
2017-03-01
2016 Workplace and Gender Relations Survey of Active Duty Members Statistical Methodology Report Additional copies of this report may be...MEMBERS: STATISTICAL METHODOLOGY REPORT Office of People Analytics (OPA) Defense Research, Surveys, and Statistics Center 4800 Mark Center Drive...20 1 2016 WORKPLACE AND GENDER RELATIONS SURVEY OF ACTIVE DUTY MEMBERS: STATISTICAL METHODOLOGY REPORT
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Literature Survey on Weld-Metal Cracking
1952-08-01
quench cracking in cast steel. A statistical investigation was made into the causes of quench cracking in low-alloy-steel gun tubes (FlZ). A definite...decreased with increased pouring temperature, finishing temperature, and forging reduction. Spretnak and Wells(F2O) also made a statistical analysis of...per cent to avoid hot cracks and fissures. Lee(I20) made a statistical study of the bead-cracking susceptibility of weld metal deposited with Type 307
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A phylogenetic transform enhances analysis of compositional microbiota data
Silverman, Justin D; Washburne, Alex D; Mukherjee, Sayan; David, Lawrence A
2017-01-01
Surveys of microbial communities (microbiota), typically measured as relative abundance of species, have illustrated the importance of these communities in human health and disease. Yet, statistical artifacts commonly plague the analysis of relative abundance data. Here, we introduce the PhILR transform, which incorporates microbial evolutionary models with the isometric log-ratio transform to allow off-the-shelf statistical tools to be safely applied to microbiota surveys. We demonstrate that analyses of community-level structure can be applied to PhILR transformed data with performance on benchmarks rivaling or surpassing standard tools. Additionally, by decomposing distance in the PhILR transformed space, we identified neighboring clades that may have adapted to distinct human body sites. Decomposing variance revealed that covariation of bacterial clades within human body sites increases with phylogenetic relatedness. Together, these findings illustrate how the PhILR transform combines statistical and phylogenetic models to overcome compositional data challenges and enable evolutionary insights relevant to microbial communities. DOI: http://dx.doi.org/10.7554/eLife.21887.001 PMID:28198697
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ERIC Educational Resources Information Center
Hill, Jason G.
2011-01-01
This report examines the postsecondary majors and teaching certifications of public high school-level teachers of departmentalized classes in a selection of subject areas by using data from the 2007-08 Schools and Staffing Survey (SASS), a sample survey of elementary and secondary schools in the United States. SASS collects data on American…
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A comparison of several techniques for imputing tree level data
David Gartner
2002-01-01
As Forest Inventory and Analysis (FIA) changes from periodic surveys to the multipanel annual survey, new analytical methods become available. The current official statistic is the moving average. One alternative is an updated moving average. Several methods of updating plot per acre volume have been discussed previously. However, these methods may not be appropriate...
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ERIC Educational Resources Information Center
Fujiura, Glenn T.; Li, Henan; Magaña, Sandy
2018-01-01
Health services and associated costs for adults with intellectual and developmental disabilities (IDD) were nationally profiled and the predictors of high expense users statistically modeled. Using linked data from the National Health Interview Survey and Medical Expenditure Panel Survey for the years 2002 through 2011, the study found a mixed…
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This manuscript describes a novel statistical analysis technique developed by the authors for use in combining survey data carried out under different field protocols. We apply the technique to 83 years of survey data on avian songbird populations in northern lower Michigan to de...
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ERIC Educational Resources Information Center
Finkelhor, David; And Others
1992-01-01
Used a national survey of households with children, a national survey of police records, and an analysis of FBI homicide data to estimate the incidence of nonfamily abductions of children. Offers a definition of abduction, analyzes problems in compiling abduction statistics, and discusses public policy on prevention and response. (RJM)
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ERIC Educational Resources Information Center
General Accounting Office, Washington, DC. Div. of Human Resources.
In response to Congressional requests, this report describes the extent of Hispanic American health and nutrition data available from federal sources. Oversampling of a minority group by a national survey is necessary for valid analysis of group characteristics. Among the four national health and nutrition surveys conducted by the Department of…
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An Analysis of Questionnaire Survey on Online Evaluation of Teaching by University Undergraduates
ERIC Educational Resources Information Center
Sun, Dongyun
2013-01-01
This paper takes into consideration of the problems discovered in the teaching evaluation data statistics over the years in Changchun University of Science and Technology and cooperates with related departments to conduct a questionnaire survey on an online evaluation of teaching, with the purpose of detecting cognition of students in evaluation…
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Changing Times: A Survey of Registered Nurses in 1998. IES Report 351.
ERIC Educational Resources Information Center
Smith, G.; Seccombe, I.
A national survey of registered nurses and analysis of official statistics provided an overview of the dimensions and dynamics of the labor market for nurses in the United Kingdom. Findings indicated the following: enrollment in preregistration nurse training courses decreased by 27 percent over the 1990s; initial entries to the UK Central Council…
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A Survey of Popular R Packages for Cluster Analysis
ERIC Educational Resources Information Center
Flynt, Abby; Dean, Nema
2016-01-01
Cluster analysis is a set of statistical methods for discovering new group/class structure when exploring data sets. This article reviews the following popular libraries/commands in the R software language for applying different types of cluster analysis: from the stats library, the kmeans, and hclust functions; the mclust library; the poLCA…
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Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data
Kacprzak, T.; Kirk, D.; Friedrich, O.; ...
2016-08-19
Shear peak statistics has gained a lot of attention recently as a practical alternative to the two point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 degmore » $^2$ field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range $$0<\\mathcal S / \\mathcal N<4$$. To predict the peak counts as a function of cosmological parameters we use a suite of $N$-body simulations spanning 158 models with varying $$\\Omega_{\\rm m}$$ and $$\\sigma_8$$, fixing $w = -1$, $$\\Omega_{\\rm b} = 0.04$$, $h = 0.7$ and $$n_s=1$$, to which we have applied the DES SV mask and redshift distribution. In our fiducial analysis we measure $$\\sigma_{8}(\\Omega_{\\rm m}/0.3)^{0.6}=0.77 \\pm 0.07$$, after marginalising over the shear multiplicative bias and the error on the mean redshift of the galaxy sample. We introduce models of intrinsic alignments, blending, and source contamination by cluster members. These models indicate that peaks with $$\\mathcal S / \\mathcal N>4$$ would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. As a result, we discuss prospects for future peak statistics analysis with upcoming DES data.« less
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1989-06-01
letters on one line and several letters on the next line, there is no accurate way to credit these extra letters for statistical analysis. The decimal and...contains the descriptive statistics of the objective refractive error components of infantrymen. Figures 8-11 show the frequency distributions for sphere...equivalents. Nonspectacle wearers Table 12 contains the idescriptive statistics for non- spectacle wearers. Based or these refractive error data, about 30
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Dulcić, Adinda; Bakota, Koraljka
2009-06-01
The paper reveals views of teachers in some regular elementary schools in the Republic of Croatia where students with cochlear implants, who are also rehabilitants of SUVAG Polyclinic, are educated. Survey aimed to research the views of teachers towards education. Survey included 98 teachers. Likert type scale was applied in order to identify the views of teachers towards students with hearing impairment. The survey was carried out in May 2007. Data were processed by SPSS for Windows program, version 13. Methods of descriptive statistics were applied to process frequencies of responds on variables for total sample and 3 statistically significant factors emerged by factor analysis. Results of this survey reveal that teachers have positive views towards inclusive education as a process which offers students with cochlear implants the possibility to socialize and achieve intellectual and emotional development. The survey suggests that the way of inclusion enforcement mostly satisfies the criteria specified for successful inclusion.
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American Music Therapy Association
... late October, 2017. Robin spoke to Miami University students, senior citizens, and children at a local school, ... be found in AMTA's annually published "AMTA Member Survey and Workforce Analysis, A Descriptive Statistical Profile of ...
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SWToolbox: A surface-water tool-box for statistical analysis of streamflow time series
Kiang, Julie E.; Flynn, Kate; Zhai, Tong; Hummel, Paul; Granato, Gregory
2018-03-07
This report is a user guide for the low-flow analysis methods provided with version 1.0 of the Surface Water Toolbox (SWToolbox) computer program. The software combines functionality from two software programs—U.S. Geological Survey (USGS) SWSTAT and U.S. Environmental Protection Agency (EPA) DFLOW. Both of these programs have been used primarily for computation of critical low-flow statistics. The main analysis methods are the computation of hydrologic frequency statistics such as the 7-day minimum flow that occurs on average only once every 10 years (7Q10), computation of design flows including biologically based flows, and computation of flow-duration curves and duration hydrographs. Other annual, monthly, and seasonal statistics can also be computed. The interface facilitates retrieval of streamflow discharge data from the USGS National Water Information System and outputs text reports for a record of the analysis. Tools for graphing data and screening tests are available to assist the analyst in conducting the analysis.
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Updyke, Katelyn Mariko; Urso, Brittany; Beg, Shazia; Solomon, James
2017-10-09
Systemic lupus erythematosus (SLE) is a multi-organ, autoimmune disease in which patients lose self-tolerance and develop immune complexes which deposit systemically causing multi-organ damage and inflammation. Patients often experience unpredictable flares of symptoms with poorly identified triggers. Literature suggests exogenous exposures may contribute to flares in symptoms. An online pilot survey was marketed globally through social media to self-reported SLE patients with the goal to identify specific subpopulations who are susceptible to disease state changes based on analyzed exogenous factors. The pilot survey was promoted for two weeks, 80 respondents fully completed the survey and were included in statistical analysis. Descriptive statistical analysis was performed on de-identified patient surveys and compared to previous literature studies reporting known or theorized triggers in the SLE disease state. The pilot survey identified similar exogenous triggers compared to previous literature, including antibiotics, increasing beef intake, and metal implants. The goal of the pilot survey is to utilize similar questions to develop a detailed internet-based patient interactive form that can be edited and time stamped as a method to promote continuous quality improvement assessments. The ultimate objective of the platform is to interact with SLE patients from across the globe longitudinally to optimize disease control and improve quality of care by allowing them to avoid harmful triggers.
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Urso, Brittany; Beg, Shazia; Solomon, James
2017-01-01
Systemic lupus erythematosus (SLE) is a multi-organ, autoimmune disease in which patients lose self-tolerance and develop immune complexes which deposit systemically causing multi-organ damage and inflammation. Patients often experience unpredictable flares of symptoms with poorly identified triggers. Literature suggests exogenous exposures may contribute to flares in symptoms. An online pilot survey was marketed globally through social media to self-reported SLE patients with the goal to identify specific subpopulations who are susceptible to disease state changes based on analyzed exogenous factors. The pilot survey was promoted for two weeks, 80 respondents fully completed the survey and were included in statistical analysis. Descriptive statistical analysis was performed on de-identified patient surveys and compared to previous literature studies reporting known or theorized triggers in the SLE disease state. The pilot survey identified similar exogenous triggers compared to previous literature, including antibiotics, increasing beef intake, and metal implants. The goal of the pilot survey is to utilize similar questions to develop a detailed internet-based patient interactive form that can be edited and time stamped as a method to promote continuous quality improvement assessments. The ultimate objective of the platform is to interact with SLE patients from across the globe longitudinally to optimize disease control and improve quality of care by allowing them to avoid harmful triggers. PMID:29226052
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ERIC Educational Resources Information Center
Chunko, John A.
1973-01-01
LSD NOW is a nationwide, statistical survey and analysis of hallucinogenic drug use by individuals presently in formal educational surroundings. Analysis, concentrating on the extent and rationale related to the use of such drugs, now offers a deeper and more meaningful understanding of a particular facet of the drug culture. This understanding…
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Preliminary results from a method to update timber resource statistics in North Carolina
Glenn P. Catts; Noel D. Cost; Raymond L. Czaplewski; Paul W. Snook
1987-01-01
Forest Inventory and Analysis units of the USDA Forest Service produce timber resource statistics every 8 to 10 years. Midcycle surveys are often performed to update inventory estimates. This requires timely identification of forest lands. There are several kinds of remotely sensed data that are suitable for this purpose. Medium scale color infrared aerial photography...
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Watson, Roger
2015-04-01
This article describes the basic tenets of quantitative research. The concepts of dependent and independent variables are addressed and the concept of measurement and its associated issues, such as error, reliability and validity, are explored. Experiments and surveys – the principal research designs in quantitative research – are described and key features explained. The importance of the double-blind randomised controlled trial is emphasised, alongside the importance of longitudinal surveys, as opposed to cross-sectional surveys. Essential features of data storage are covered, with an emphasis on safe, anonymous storage. Finally, the article explores the analysis of quantitative data, considering what may be analysed and the main uses of statistics in analysis.
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Tessore, Nicolas; Metcalf, R. Benton; Winther, Hans A.
A number of alternatives to general relativity exhibit gravitational screening in the non-linear regime of structure formation. We describe a set of algorithms that can produce weak lensing maps of large scale structure in such theories and can be used to generate mock surveys for cosmological analysis. By analysing a few basic statistics we indicate how these alternatives can be distinguished from general relativity with future weak lensing surveys.
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ERIC Educational Resources Information Center
Celebuski, Carin; Farris, Elizabeth
This report presents the findings from the "Nutrition Education in Public Schools, K-12" survey that was designed to provide data on the status of nutrition education in U.S. public schools. Questionnaires were sent to 1,000 school principals of a nationally representative sample of U.S. elementary, middle, and high schools. The survey…
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ERIC Educational Resources Information Center
Murray, Scott; Shillington, Richard
2012-01-01
Examining costs and savings associated with moving every Canadian with a Literacy Level 1 or 2 (on the international literacy scale) to Level 3, this analysis is based upon statistically matched data from the "2003 International Adult Literacy and Skills Survey and the 2005-2009 Surveys of Labour and Income Dynamics." The methods provide…
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ERIC Educational Resources Information Center
Landsberger, Betty H.
To locate possible causes for the gender and race differences observed in adolescent health status, an analysis was made of the relationship between the scores of a national sample of 12- to 17-year-old adolescents on selected items of the National Center for Health Statistics' Health Examination Survey. Thirty survey items indicating social…
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ERIC Educational Resources Information Center
Hollenbeck, Kevin
A study examined the effect of education and training on the economy and on employment outcomes. Data collected during a 1982 nationwide telephone survey of 3,500 employers were used as the basis for statistical models of voluntary and involuntary job separations and job promotions. Four major conclusions resulted from the modeling process…
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Participation Trends and Patterns in Adult Education: 1991-1999. Statistical Analysis Report.
ERIC Educational Resources Information Center
Creighton, Sean; Hudson, Lisa
Participation of U.S. adults in formal learning activities during the 1990s was examined by analyzing data from the 1991, 1995, and 1999 Adult Education Surveys that were part of the National Household Education Surveys Program. Overall, participation in adult education between 1991 and 1999 increased among all but one age group (35-44 years), all…
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ERIC Educational Resources Information Center
Lavigne, Heather J.; Shakman, Karen; Zweig, Jacqueline; Greller, Sara L.
2016-01-01
This study describes how principals reported spending their time and what professional development they reported participating in, based on data collected through the Schools and Staffing Survey by the National Center for Education Statistics during the 2011/12 school year. The study analyzes schools by grade level, poverty level, and within…
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Validation of a short qualitative food frequency list used in several German large scale surveys.
Winkler, G; Döring, A
1998-09-01
Our study aimed to test the validity of a short, qualitative food frequency list (FFL) used in several German large scale surveys. In the surveys of the MONICA project Augsburg, the FFL was used in randomly selected adults. In 1984/85, a dietary survey with 7-day records (DR) was conducted within the subsample of men aged 45 to 64 (response 70%). The 899 DR were used to validate the FFL. Mean weekly food intake frequency and mean daily food intake were compared and Spearman rank order correlation coefficients and classification into tertiles with values of the statistic Kappa were calculated. Spearman correlations range between 0.15 for the item "Other sweets (candies, compote)" and 0.60 for the items "Curds, yoghurt, sour milk", "Milk including butter milk" and "Mineral water"; values for statistic Kappa vary between 0.04 ("White bread, brown bread, crispbread") and 0.41 ("Flaked oats, muesli, cornflakes" and "milk including butter milk"). With the exception of two items, FFL data can be used for analysis on group level. Analysis on individual level should be done with caution. It seems, as if some food groups are generally easier to ask for in FFL than others.
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75 FR 61136 - Notice of Proposed Information Collection Requests
Federal Register 2010, 2011, 2012, 2013, 2014
2010-10-04
... EdFacts data as well as data from surveys of school principals and special education designees about their school improvement practices. The study will use descriptive statistics and regression analysis to...
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Chae, K-H; Biggs, A D; Blandford, R D; Browne, I W A; De Bruyn, A G; Fassnacht, C D; Helbig, P; Jackson, N J; King, L J; Koopmans, L V E; Mao, S; Marlow, D R; McKean, J P; Myers, S T; Norbury, M; Pearson, T J; Phillips, P M; Readhead, A C S; Rusin, D; Sykes, C M; Wilkinson, P N; Xanthopoulos, E; York, T
2002-10-07
We derive constraints on cosmological parameters and the properties of the lensing galaxies from gravitational lens statistics based on the final Cosmic Lens All Sky Survey data. For a flat universe with a classical cosmological constant, we find that the present matter fraction of the critical density is Omega(m)=0.31(+0.27)(-0.14) (68%)+0.12-0.10 (syst). For a flat universe with a constant equation of state for dark energy w=p(x)(pressure)/rho(x)(energy density), we find w<-0.55(+0.18)(-0.11) (68%).
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Hamchevici, Carmen; Udrea, Ion
2013-11-01
The concept of basin-wide Joint Danube Survey (JDS) was launched by the International Commission for the Protection of the Danube River (ICPDR) as a tool for investigative monitoring under the Water Framework Directive (WFD), with a frequency of 6 years. The first JDS was carried out in 2001 and its success in providing key information for characterisation of the Danube River Basin District as required by WFD lead to the organisation of the second JDS in 2007, which was the world's biggest river research expedition in that year. The present paper presents an approach for improving the survey strategy for the next planned survey JDS3 (2013) by means of several multivariate statistical techniques. In order to design the optimum structure in terms of parameters and sampling sites, principal component analysis (PCA), factor analysis (FA) and cluster analysis were applied on JDS2 data for 13 selected physico-chemical and one biological element measured in 78 sampling sites located on the main course of the Danube. Results from PCA/FA showed that most of the dataset variance (above 75%) was explained by five varifactors loaded with 8 out of 14 variables: physical (transparency and total suspended solids), relevant nutrients (N-nitrates and P-orthophosphates), feedback effects of primary production (pH, alkalinity and dissolved oxygen) and algal biomass. Taking into account the representation of the factor scores given by FA versus sampling sites and the major groups generated by the clustering procedure, the spatial network of the next survey could be carefully tailored, leading to a decreasing of sampling sites by more than 30%. The approach of target oriented sampling strategy based on the selected multivariate statistics can provide a strong reduction in dimensionality of the original data and corresponding costs as well, without any loss of information.
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Asquith, William H.; Barbie, Dana L.
2014-01-01
Selected summary statistics (L-moments) and estimates of respective sampling variances were computed for the 35 streamgages lacking statistically significant trends. From the L-moments and estimated sampling variances, weighted means or regional values were computed for each L-moment. An example application is included demonstrating how the L-moments could be used to evaluate the magnitude and frequency of annual mean streamflow.
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The Social Profile of Students in Basic General Education in Ecuador: A Data Analysis
ERIC Educational Resources Information Center
Buri, Olga Elizabeth Minchala; Stefos, Efstathios
2017-01-01
The objective of this study is to examine the social profile of students who are enrolled in Basic General Education in Ecuador. Both a descriptive and multidimensional statistical analysis was carried out based on the data provided by the National Survey of Employment, Unemployment and Underemployment in 2015. The descriptive analysis shows the…
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Tsuboi, Satoshi; Yoshida, Honami; Ae, Ryusuke; Kojo, Takao; Nakamura, Yosikazu; Kitamura, Kunio
2015-03-01
To investigate the selection bias of an Internet panel survey organized by a commercial company. A descriptive study was conducted. The authors compared the characteristics of the Internet panel survey with a national paper-based survey and with national governmental statistics in Japan. The participants in the Internet panel survey were composed of more women, were older, and resided in large cities. Regardless of age and sex, the prevalence of highly educated people in the Internet panel survey was higher than in the paper-based survey and the national statistics. In men, the prevalence of heavy drinkers among the 30- to 49-year-old population and of habitual smokers among the 20- to 49-year-old population in the Internet panel survey was lower than what was found in the national statistics. The estimated characteristics of commercial Internet panel surveys were quite different from the national statistical data. In a commercial Internet panel survey, selection bias should not be underestimated. © 2012 APJPH.
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The Analysis of Organizational Diagnosis on Based Six Box Model in Universities
ERIC Educational Resources Information Center
Hamid, Rahimi; Siadat, Sayyed Ali; Reza, Hoveida; Arash, Shahin; Ali, Nasrabadi Hasan; Azizollah, Arbabisarjou
2011-01-01
Purpose: The analysis of organizational diagnosis on based six box model at universities. Research method: Research method was descriptive-survey. Statistical population consisted of 1544 faculty members of universities which through random strafed sampling method 218 persons were chosen as the sample. Research Instrument were organizational…
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Statistical analysis of 4 types of neck whiplash injuries based on classical meridian theory.
Chen, Yemeng; Zhao, Yan; Xue, Xiaolin; Li, Hui; Wu, Xiuyan; Zhang, Qunce; Zheng, Xin; Wang, Tianfang
2015-01-01
As one component of the Chinese medicine meridian system, the meridian sinew (Jingjin, (see text), tendino-musculo) is specially described as being for acupuncture treatment of the musculoskeletal system because of its dynamic attributes and tender point correlations. In recent decades, the therapeutic importance of the sinew meridian has become revalued in clinical application. Based on this theory, the authors have established therapeutic strategies of acupuncture treatment in Whiplash-Associated Disorders (WAD) by categorizing four types of neck symptom presentations. The advantage of this new system is to make it much easier for the clinician to find effective acupuncture points. This study attempts to prove the significance of the proposed therapeutic strategies by analyzing data collected from a clinical survey of various WAD using non-supervised statistical methods, such as correlation analysis, factor analysis, and cluster analysis. The clinical survey data have successfully verified discrete characteristics of four neck syndromes, based upon the range of motion (ROM) and tender point location findings. A summary of the relationships among the symptoms of the four neck syndromes has shown the correlation coefficient as having a statistical significance (P < 0.01 or P < 0.05), especially with regard to ROM. Furthermore, factor and cluster analyses resulted in a total of 11 categories of general symptoms, which implies syndrome factors are more related to the Liver, as originally described in classical theory. The hypothesis of meridian sinew syndromes in WAD is clearly supported by the statistical analysis of the clinical trials. This new discovery should be beneficial in improving therapeutic outcomes.
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The Business Of Urban Animals Survey: the facts and statistics on companion animals in Canada.
Perrin, Terri
2009-01-01
At the first Banff Summit for Urban Animal Strategies (BSUAS) in 2006, delegates clearly indicated that a lack of reliable Canadian statistics hampers municipal leaders and legislators in their efforts to develop urban animal strategies that create and sustain a healthy community for pets and people. To gain a better understanding of the situation, BSUAS municipal delegates and other industry stakeholders partnered with Ipsos Reid, one of the world's leading polling firms, to conduct a national survey on the "Business of Urban Animals." The results of the survey, summarized in this article, were presented at the BSUAS meeting in October 2008. In addition, each participating community will receive a comprehensive written analysis, as well as a customized report. The online survey was conducted from September 22 to October 1, 2008. There were 7208 participants, including 3973 pet and 3235 non-pet owners from the Ipsos-Reid's proprietary Canadian online panel. The national results were weighted to reflect the true population distribution across Canada and the panel was balanced on all major demographics to mirror Statistics Canada census information. The margin for error for the national results is 1/- 1.15%.
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Unannounced versus announced hospital surveys: a nationwide cluster-randomized controlled trial.
Ehlers, Lars Holger; Simonsen, Katherina Beltoft; Jensen, Morten Berg; Rasmussen, Gitte Sand; Olesen, Anne Vingaard
2017-06-01
To evaluate the effectiveness of unannounced versus announced surveys in detecting non-compliance with accreditation standards in public hospitals. A nationwide cluster-randomized controlled trial. All public hospitals in Denmark were invited. Twenty-three hospitals (77%) (3 university hospitals, 5 psychiatric hospitals and 15 general hospitals) agreed to participate. Twelve hospitals were randomized to receive unannounced surveys (intervention group) and eleven hospitals to receive announced surveys (control group). We hypothesized that the hospitals receiving the unannounced surveys would reveal a higher degree of non-compliance with accreditation standards than the hospitals receiving announced surveys. Nine surveyors trained and employed by the Danish Institute for Quality and Accreditation in Healthcare (IKAS) were randomized into teams and conducted all surveys. The outcome was the surveyors' assessment of the hospitals' level of compliance with 113 performance indicators-an abbreviated set of the Danish Healthcare Quality Programme (DDKM) version 2, covering organizational standards, patient pathway standards and patient safety standards. Compliance with performance indicators was analyzed using binomial regression analysis with bootstrapped robust standard errors. In all, 16 202 measurements were acceptable for data analysis. The risk of observing non-compliance with performance indicators for the intervention group compared with the control group was statistically insignificant (risk difference (RD) = -0.6 percentage points [-2.51-1.31], P = 0.54). A converged analysis of the six patient safety critical standards, requiring 100% compliance to gain accreditation status revealed no statistically significant difference (RD = -0.78 percentage points [-4.01-2.44], P = 0.99). Unannounced hospital surveys were not more effective than announced surveys in detecting quality problems in Danish hospitals. ClinicalTrials.gov NCT02348567, https://clinicaltrials.gov/ct2/show/NCT02348567?term=NCT02348567. © The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care.
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Percolation Analysis as a Tool to Describe the Topology of the Large Scale Structure of the Universe
NASA Astrophysics Data System (ADS)
Yess, Capp D.
1997-09-01
Percolation analysis is the study of the properties of clusters. In cosmology, it is the statistics of the size and number of clusters. This thesis presents a refinement of percolation analysis and its application to astronomical data. An overview of the standard model of the universe and the development of large scale structure is presented in order to place the study in historical and scientific context. Then using percolation statistics we, for the first time, demonstrate the universal character of a network pattern in the real space, mass distributions resulting from nonlinear gravitational instability of initial Gaussian fluctuations. We also find that the maximum of the number of clusters statistic in the evolved, nonlinear distributions is determined by the effective slope of the power spectrum. Next, we present percolation analyses of Wiener Reconstructions of the IRAS 1.2 Jy Redshift Survey. There are ten reconstructions of galaxy density fields in real space spanning the range β = 0.1 to 1.0, where β=Ω0.6/b,/ Ω is the present dimensionless density and b is the linear bias factor. Our method uses the growth of the largest cluster statistic to characterize the topology of a density field, where Gaussian randomized versions of the reconstructions are used as standards for analysis. For the reconstruction volume of radius, R≈100h-1 Mpc, percolation analysis reveals a slight 'meatball' topology for the real space, galaxy distribution of the IRAS survey. Finally, we employ a percolation technique developed for pointwise distributions to analyze two-dimensional projections of the three northern and three southern slices in the Las Campanas Redshift Survey and then give consideration to further study of the methodology, errors and application of percolation. We track the growth of the largest cluster as a topological indicator to a depth of 400 h-1 Mpc, and report an unambiguous signal, with high signal-to-noise ratio, indicating a network topology which in two dimensions is indicative of a filamentary distribution. It is hoped that one day percolation analysis can characterize the structure of the universe to a degree that will aid theorists in confidently describing the nature of our world.
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DOT National Transportation Integrated Search
2015-01-01
Statistical summaries of streamflow data collected at 184 streamgages in Iowa are presented in this report. All streamgages included for analysis have at least 10 years of continuous record collected before or through September 2013. This report is a...
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Railroad Classification Yard Technology Manual. Volume III. Freight Car Rollability
DOT National Transportation Integrated Search
1981-07-01
The report presents a survey of rolling resistance research, histograms of rolling resistance from five yards, a statistical regression analysis of causal factors affecting rolling resistance, procedures for constructing a rolling resistance histogra...
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Exploratory statistical and geographical freight traffic data analysis
DOT National Transportation Integrated Search
2000-08-01
Data from freight traffic roadside surveys in Mexican highways are analyzed in order to find consistent patterns or systematic relationships between variables characterizing this traffic. Patterns traced are validated by contrasting against new data ...
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Dark Energy Survey Year 1 Results: Multi-Probe Methodology and Simulated Likelihood Analyses
DOE Office of Scientific and Technical Information (OSTI.GOV)
Krause, E.; et al.
We present the methodology for and detail the implementation of the Dark Energy Survey (DES) 3x2pt DES Year 1 (Y1) analysis, which combines configuration-space two-point statistics from three different cosmological probes: cosmic shear, galaxy-galaxy lensing, and galaxy clustering, using data from the first year of DES observations. We have developed two independent modeling pipelines and describe the code validation process. We derive expressions for analytical real-space multi-probe covariances, and describe their validation with numerical simulations. We stress-test the inference pipelines in simulated likelihood analyses that vary 6-7 cosmology parameters plus 20 nuisance parameters and precisely resemble the analysis to be presented in the DES 3x2pt analysis paper, using a variety of simulated input data vectors with varying assumptions. We find that any disagreement between pipelines leads to changes in assigned likelihoodmore » $$\\Delta \\chi^2 \\le 0.045$$ with respect to the statistical error of the DES Y1 data vector. We also find that angular binning and survey mask do not impact our analytic covariance at a significant level. We determine lower bounds on scales used for analysis of galaxy clustering (8 Mpc$$~h^{-1}$$) and galaxy-galaxy lensing (12 Mpc$$~h^{-1}$$) such that the impact of modeling uncertainties in the non-linear regime is well below statistical errors, and show that our analysis choices are robust against a variety of systematics. These tests demonstrate that we have a robust analysis pipeline that yields unbiased cosmological parameter inferences for the flagship 3x2pt DES Y1 analysis. We emphasize that the level of independent code development and subsequent code comparison as demonstrated in this paper is necessary to produce credible constraints from increasingly complex multi-probe analyses of current data.« less
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ERIC Educational Resources Information Center
Boyce, Jared; Bowers, Alex J.
2018-01-01
This study investigated the differences between how individual teachers perceive leadership for learning and how teachers collectively perceive leadership for learning, using a large nationally generalizable data-set of 7070 schools from the National Center for Education Statistics 2011-2012 Schools and Staffing Survey. This study used…
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ERIC Educational Resources Information Center
Kirshstein, Rita J.; Matheson, Nancy; Jing, Zhongren; Zimbler, Linda J.
This report compares findings from faculty surveys conducted as part of the 1987-88 National Survey of Postsecondary Faculty, which is limited to faculty and staff with instructional responsibilities, and the 1992-93 National Study of Postsecondary Faculty, which includes instructional as well as noninstructional faculty. In particular, the report…
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ERIC Educational Resources Information Center
Kuck, Valerie J.; Marzabadi, Cecilia H.; Buckner, Janine P.; Nolan, Susan A.
2004-01-01
A survey of 1988-1992 doctoral graduates from 11 highly ranked chemistry departments found no statistical difference in the percentages of men and women who pursued tenure-track positions at Ph.D.-granting institutions. The goal of the survey was to determine whether the top National Research Council (NRC)-rated institutions were also the top…
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Kim, Sung-Min; Choi, Yosoon
2017-01-01
To develop appropriate measures to prevent soil contamination in abandoned mining areas, an understanding of the spatial variation of the potentially toxic trace elements (PTEs) in the soil is necessary. For the purpose of effective soil sampling, this study uses hot spot analysis, which calculates a z-score based on the Getis-Ord Gi* statistic to identify a statistically significant hot spot sample. To constitute a statistically significant hot spot, a feature with a high value should also be surrounded by other features with high values. Using relatively cost- and time-effective portable X-ray fluorescence (PXRF) analysis, sufficient input data are acquired from the Busan abandoned mine and used for hot spot analysis. To calibrate the PXRF data, which have a relatively low accuracy, the PXRF analysis data are transformed using the inductively coupled plasma atomic emission spectrometry (ICP-AES) data. The transformed PXRF data of the Busan abandoned mine are classified into four groups according to their normalized content and z-scores: high content with a high z-score (HH), high content with a low z-score (HL), low content with a high z-score (LH), and low content with a low z-score (LL). The HL and LH cases may be due to measurement errors. Additional or complementary surveys are required for the areas surrounding these suspect samples or for significant hot spot areas. The soil sampling is conducted according to a four-phase procedure in which the hot spot analysis and proposed group classification method are employed to support the development of a sampling plan for the following phase. Overall, 30, 50, 80, and 100 samples are investigated and analyzed in phases 1–4, respectively. The method implemented in this case study may be utilized in the field for the assessment of statistically significant soil contamination and the identification of areas for which an additional survey is required. PMID:28629168
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Kim, Sung-Min; Choi, Yosoon
2017-06-18
To develop appropriate measures to prevent soil contamination in abandoned mining areas, an understanding of the spatial variation of the potentially toxic trace elements (PTEs) in the soil is necessary. For the purpose of effective soil sampling, this study uses hot spot analysis, which calculates a z -score based on the Getis-Ord Gi* statistic to identify a statistically significant hot spot sample. To constitute a statistically significant hot spot, a feature with a high value should also be surrounded by other features with high values. Using relatively cost- and time-effective portable X-ray fluorescence (PXRF) analysis, sufficient input data are acquired from the Busan abandoned mine and used for hot spot analysis. To calibrate the PXRF data, which have a relatively low accuracy, the PXRF analysis data are transformed using the inductively coupled plasma atomic emission spectrometry (ICP-AES) data. The transformed PXRF data of the Busan abandoned mine are classified into four groups according to their normalized content and z -scores: high content with a high z -score (HH), high content with a low z -score (HL), low content with a high z -score (LH), and low content with a low z -score (LL). The HL and LH cases may be due to measurement errors. Additional or complementary surveys are required for the areas surrounding these suspect samples or for significant hot spot areas. The soil sampling is conducted according to a four-phase procedure in which the hot spot analysis and proposed group classification method are employed to support the development of a sampling plan for the following phase. Overall, 30, 50, 80, and 100 samples are investigated and analyzed in phases 1-4, respectively. The method implemented in this case study may be utilized in the field for the assessment of statistically significant soil contamination and the identification of areas for which an additional survey is required.
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The National Aquatic Resource Surveys (NARS) are a series of four statistical surveys conducted by the U.S. Environmental Protection Agency working in collaboration with states, tribal nations and other federal agencies. The surveys are conducted for lakes and reservoirs, streams...
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NASA Astrophysics Data System (ADS)
Goff, H. C.
1980-05-01
A market analysis task included personal interviews by GE personnel and supplemental mail surveys to acquire statistical data and to identify and measure attitudes, reactions and intentions of prospective small solar thermal power systems (SPS) users. Over 500 firms were contacted, including three ownership classes of electric utilities, industrial firms in the top SIC codes for energy consumption, and design engineering firms. A market demand model was developed which utilizes the data base developed by personal interviews and surveys, and projected energy price and consumption data to perform sensitivity analyses and estimate potential markets for SPS.
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Vahedi, Shahrum; Farrokhi, Farahman; Gahramani, Farahnaz; Issazadegan, Ali
2012-01-01
Approximately 66-80%of graduate students experience statistics anxiety and some researchers propose that many students identify statistics courses as the most anxiety-inducing courses in their academic curriculums. As such, it is likely that statistics anxiety is, in part, responsible for many students delaying enrollment in these courses for as long as possible. This paper proposes a canonical model by treating academic procrastination (AP), learning strategies (LS) as predictor variables and statistics anxiety (SA) as explained variables. A questionnaire survey was used for data collection and 246-college female student participated in this study. To examine the mutually independent relations between procrastination, learning strategies and statistics anxiety variables, a canonical correlation analysis was computed. Findings show that two canonical functions were statistically significant. The set of variables (metacognitive self-regulation, source management, preparing homework, preparing for test and preparing term papers) helped predict changes of statistics anxiety with respect to fearful behavior, Attitude towards math and class, Performance, but not Anxiety. These findings could be used in educational and psychological interventions in the context of statistics anxiety reduction.
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Population trends of North American shorebirds based on the International Shorebird Survey
Howe, M.A.; Geissler, P.H.; Harrington, B.A.
1989-01-01
Shorebirds (Charadiiformes) are prime candidates for population decline because of their dependence on wetlands that are being lost at a rapid pace. Thirty-six of the 49 species of shorebirds that breed in North America spend most of the year in Latin America. Because populations of most species breed and winter at remote sites , it may be feasible to monitor their numbers at migration stopovers. In this study, we used statistical trend analysis methods, developed for the North American Breeding Bird Survey, to analyze data on shorebird populations during south-bound migration in the United States. Survey data were collected by volunteers in the International Shorebird Survey (ISS). Methodological concerns over both the ISS and the trend analysis procedures are discussed in detail and biological interpretations of the results are suggested.
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Sexual Harassment Retaliation Climate DEOCS 4.1 Construct Validity Summary
2017-08-01
exploratory factor analysis, and bivariate correlations (sample 1) 2) To determine the factor structure of the remaining (final) questions via...statistics, reliability analysis, exploratory factor analysis, and bivariate correlations of the prospective Sexual Harassment Retaliation Climate...reported by the survey requester). For information regarding the composition of sample, refer to Table 1. Table 1. Sample 1 Demographics n
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DOT National Transportation Integrated Search
1999-08-15
The Traffic Survey Unit plans to establish a methodology in which it can assign each Portable Traffic Counter (PTC) station a seasonal group profile through a means of statistical and geographical analysis. An ArcView Geographic Information Systems a...
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Using Rasch Analysis to Identify Uncharacteristic Responses to Undergraduate Assessments
ERIC Educational Resources Information Center
Edwards, Antony; Alcock, Lara
2010-01-01
Rasch Analysis is a statistical technique that is commonly used to analyse both test data and Likert survey data, to construct and evaluate question item banks, and to evaluate change in longitudinal studies. In this article, we introduce the dichotomous Rasch model, briefly discussing its assumptions. Then, using data collected in an…
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Key Statistics from the National Survey of Family Growth: Vasectomy
... Birth Data NCHS Key Statistics from the National Survey of Family Growth - V Listing Recommend on Facebook ... What's this? Submit Button Related Sites NCHS Listservs Surveys and Data Collection Systems Vital Statistics: Birth Data ...
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Kang, Kyung-Nam; Ryu, Tae-Kyu; Lee, Yoon-Sik
2009-01-01
Background Concerns have recently been raised about the negative effects of patents on innovation. In this study, the effects of patents on innovations in the Korean biotech SMEs (small and medium-sized entrepreneurs) were examined using survey data and statistical analysis. Results The survey results of this study provided some evidence that restricted access problems have occurred even though their frequency was not high. Statistical analysis revealed that difficulties in accessing patented research tools were not negatively correlated with the level of innovation performance and attitudes toward the patent system. Conclusion On the basis of the results of this investigation in combination with those of previous studies, we concluded that although restricted access problems have occurred, this has not yet deterred innovation in Korea. However, potential problems do exist, and the effects of restricted access should be constantly scrutinized. PMID:19321013
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Kang, Kyung-Nam; Ryu, Tae-Kyu; Lee, Yoon-Sik
2009-03-26
Concerns have recently been raised about the negative effects of patents on innovation. In this study, the effects of patents on innovations in the Korean biotech SMEs (small and medium-sized entrepreneurs) were examined using survey data and statistical analysis. The survey results of this study provided some evidence that restricted access problems have occurred even though their frequency was not high. Statistical analysis revealed that difficulties in accessing patented research tools were not negatively correlated with the level of innovation performance and attitudes toward the patent system. On the basis of the results of this investigation in combination with those of previous studies, we concluded that although restricted access problems have occurred, this has not yet deterred innovation in Korea. However, potential problems do exist, and the effects of restricted access should be constantly scrutinized.
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Accounting for imperfect detection and survey bias in statistical analysis of presence-only data
Dorazio, Robert M.
2014-01-01
Using mathematical proof and simulation-based comparisons, I demonstrate that biases induced by errors in detection or biased selection of survey locations can be reduced or eliminated by using the hierarchical model to analyse presence-only data in conjunction with counts observed in planned surveys. I show that a relatively small number of high-quality data (from planned surveys) can be used to leverage the information in presence-only observations, which usually have broad spatial coverage but may not be informative of both occurrence and detectability of individuals. Because a variety of sampling protocols can be used in planned surveys, this approach to the analysis of presence-only data is widely applicable. In addition, since the point-process model is formulated at the level of an individual, it can be extended to account for biological interactions between individuals and temporal changes in their spatial distributions.
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New U.S. Geological Survey Method for the Assessment of Reserve Growth
Klett, Timothy R.; Attanasi, E.D.; Charpentier, Ronald R.; Cook, Troy A.; Freeman, P.A.; Gautier, Donald L.; Le, Phuong A.; Ryder, Robert T.; Schenk, Christopher J.; Tennyson, Marilyn E.; Verma, Mahendra K.
2011-01-01
Reserve growth is defined as the estimated increases in quantities of crude oil, natural gas, and natural gas liquids that have the potential to be added to remaining reserves in discovered accumulations through extension, revision, improved recovery efficiency, and additions of new pools or reservoirs. A new U.S. Geological Survey method was developed to assess the reserve-growth potential of technically recoverable crude oil and natural gas to be added to reserves under proven technology currently in practice within the trend or play, or which reasonably can be extrapolated from geologically similar trends or plays. This method currently is in use to assess potential additions to reserves in discovered fields of the United States. The new approach involves (1) individual analysis of selected large accumulations that contribute most to reserve growth, and (2) conventional statistical modeling of reserve growth in remaining accumulations. This report will focus on the individual accumulation analysis. In the past, the U.S. Geological Survey estimated reserve growth by statistical methods using historical recoverable-quantity data. Those statistical methods were based on growth rates averaged by the number of years since accumulation discovery. Accumulations in mature petroleum provinces with volumetrically significant reserve growth, however, bias statistical models of the data; therefore, accumulations with significant reserve growth are best analyzed separately from those with less significant reserve growth. Large (greater than 500 million barrels) and older (with respect to year of discovery) oil accumulations increase in size at greater rates late in their development history in contrast to more recently discovered accumulations that achieve most growth early in their development history. Such differences greatly affect the statistical methods commonly used to forecast reserve growth. The individual accumulation-analysis method involves estimating the in-place petroleum quantity and its uncertainty, as well as the estimated (forecasted) recoverability and its respective uncertainty. These variables are assigned probabilistic distributions and are combined statistically to provide probabilistic estimates of ultimate recoverable quantities. Cumulative production and remaining reserves are then subtracted from the estimated ultimate recoverable quantities to provide potential reserve growth. In practice, results of the two methods are aggregated to various scales, the highest of which includes an entire country or the world total. The aggregated results are reported along with the statistically appropriate uncertainties.
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Management system of occupational diseases in Korea: statistics, report and monitoring system.
Rhee, Kyung Yong; Choe, Seong Weon
2010-12-01
The management system of occupational diseases in Korea can be assessed from the perspective of a surveillance system. Workers' compensation insurance reports are used to produce official statistics on occupational diseases in Korea. National working conditions surveys are used to monitor the magnitude of work-related symptoms and signs in the labor force. A health examination program was introduced to detect occupational diseases through both selective and mass screening programs. The Working Environment Measurement Institution assesses workers' exposure to hazards in the workplace. Government regulates that the employer should do health examinations and working conditions measurement through contracted private agencies and following the Occupational Safety and Health Act. It is hoped that these institutions may be able to effectively detect and monitor occupational diseases and hazards in the workplace. In view of this, the occupational management system in Korea is well designed, except for the national survey system. In the future, national surveys for detection of hazards and ill-health outcomes in workers should be developed. The existing surveillance system for occupational disease can be improved by providing more refined information through statistical analysis of surveillance data.
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Is fertility falling in Zimbabwe?
Udjo, E O
1996-01-01
With an unequalled contraceptive prevalence rate in sub-Saharan Africa, of 43% among currently married women in Zimbabwe, the Central Statistical Office (1989) observed that fertility has declined sharply in recent years. Using data from several surveys on Zimbabwe, especially the birth histories of the Zimbabwe Demographic and Health Survey, this study examines fertility trends in Zimbabwe. The results show that the fertility decline in Zimbabwe is modest and that the decline is concentrated among high order births. Multivariate analysis did not show a statistically significant effect of contraception on fertility, partly because a high proportion of Zimbabwean women in the reproductive age group never use contraception due to prevailing pronatalist attitudes in the country.
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2015 Military Investigation and Justice Experience Survey (MIJES). Overview Report
2016-03-16
FMG) b Defense Manpower Data Center (DMDC) a SRA International, Inc., A CSRA Company Defense Manpower Data Center 4800 Mark Center Drive, Suite... Manpower Data Center (DMDC) is indebted to numerous people for their assistance with the 2015 Military Investigation and Justice Experience Survey (2015...Statistical Analysis Macros to calculate the results presented in this report. Ms. Sue Reinhold provided assistance with programming and merging contact
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ERIC Educational Resources Information Center
Current Population Reports, 1986
1986-01-01
Analysis of information gained from the March 1986 Current Population Survey (CPS) conducted by the Bureau of the Census shows the following results for the year 1985: (1) median family money income continued to move ahead of inflation; (2) the median earnings of men showed no statistically significant change from 1984, but the earnings of women…
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ERIC Educational Resources Information Center
Felstead, Alan; Jewson, Nick; Phizacklea, Annie; Walters, Sally
The patterns, extent, and problems of working at home in the United Kingdom were examined through a multivariate analysis of data from the Labour Force Survey, which has questioned respondents about the location of their workplace since 1992. The numbers of people working "mainly" at home increased from 345,920 (1.5%) in 1981 to 680,612…
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ERIC Educational Resources Information Center
Liao, Pei-shan
2009-01-01
This study explores the consistency between objective indicators and subjective perceptions of quality of life in a ranking of survey data for cities and counties in Taiwan. Data used for analysis included the Statistical Yearbook of Hsiens and Municipalities and the Survey on Living Conditions of Citizens in Taiwan, both given for the year 2000.…
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Afonso, Anoushka M; Diaz, James H; Scher, Corey S; Beyl, Robbie A; Nair, Singh R; Kaye, Alan David
2013-06-01
To measure the parameter of job satisfaction among anesthesiologists. Survey instrument. Academic anesthesiology departments in the United States. 320 anesthesiologists who attended the annual meeting of the ASA in 2009 (95% response rate). The anonymous 50-item survey collected information on 26 independent demographic variables and 24 dependent ranked variables of career satisfaction among practicing anesthesiologists. Mean survey scores were calculated for each demographic variable and tested for statistically significant differences by analysis of variance. Questions within each domain that were internally consistent with each other within domains were identified by Cronbach's alpha ≥ 0.7. P-values ≤ 0.05 were considered statistically significant. Cronbach's alpha analysis showed strong internal consistency for 10 dependent outcome questions in the practice factor-related domain (α = 0.72), 6 dependent outcome questions in the peer factor-related domain (α = 0.71), and 8 dependent outcome questions in the personal factor-related domain (α = 0.81). Although age was not a variable, full-time status, early satisfaction within the first 5 years of practice, working with respected peers, and personal choice factors were all significantly associated with anesthesiologist job satisfaction. Improvements in factors related to job satisfaction among anesthesiologists may lead to higher early and current career satisfaction. Copyright © 2013 Elsevier Inc. All rights reserved.
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Osen, Hayley; Chang, David; Choo, Shelly; Perry, Henry; Hesse, Afua; Abantanga, Francis; McCord, Colin; Chrouser, Kristin; Abdullah, Fizan
2011-03-01
The World Health Organization (WHO) Tool for Situational Analysis to Assess Emergency and Essential Surgical Care (hereafter called the WHO Tool) has been used in more than 25 countries and is the largest effort to assess surgical care in the world. However, it has not yet been independently validated. Test-retest reliability is one way to validate the degree to which tests instruments are free from random error. The aim of the present field study was to determine the test-retest reliability of the WHO Tool. The WHO Tool was mailed to 10 district hospitals in Ghana. Written instructions were provided along with a letter from the Ghana Health Services requesting the hospital administrator to complete the survey tool. After ensuring delivery and completion of the forms, the study team readministered the WHO Tool at the time of an on-site visit less than 1 month later. The results of the two tests were compared to calculate kappa statistics for each of the 152 questions in the WHO Tool. The kappa statistic is a statistical measure of the degree of agreement above what would be expected based on chance alone. Ten hospitals were surveyed twice over a short interval (i.e., less than 1 month). Weighted and unweighted kappa statistics were calculated for 152 questions. The median unweighted kappa for the entire survey was 0.43 (interquartile range 0-0.84). The infrastructure section (24 questions) had a median kappa of 0.81; the human resources section (13 questions) had a median kappa of 0.77; the surgical procedures section (67 questions) had a median kappa of 0.00; and the emergency surgical equipment section (48 questions) had a median kappa of 0.81. Hospital capacity survey questions related to infrastructure characteristics had high reliability. However, questions related to process of care had poor reliability and may benefit from supplemental data gathered by direct observation. Limitations to the study include the small sample size: 10 district hospitals in a single country. Consistent and high correlations calculated from the field testing within the present analysis suggest that the WHO Tool for Situational Analysis is a reliable tool where it measures structure and setting, but it should be revised for measuring process of care.
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Takeuchi, Takeaki; Nakao, Mutsuhiro; Nishikitani, Mariko; Yano, Eiji
2004-07-01
This study aims to clarify the effects of stress perception and related social indicators on three major musculoskeletal symptoms: low back, shoulder, and joint pains in a Japanese population. Twenty health-related variables (stress perception and 19 social indicators) and the three symptoms were obtained from the following Japanese national surveys: the Comprehensive Survey of Living Condition of the People on Health and Welfare, the System of Social and Demographic Statistics of Japan, and the Statistical Report on Health Administration Services. The results were compared among 46 Japanese prefectures in 1995 and 2001. By factor analysis, the 19 indicators were classified into three factors of urbanization, aging and life-regularity, and individualization. The prevalence of stress perception was significantly correlated to the 8 indicators of urbanization factor. Although simple correlation analysis revealed a significant relationship of stress perception only to shoulder pain (in both years) and low back pain (in 2001), the results of multiple regression analysis showed that stress perception and some urbanization factors were significantly associated with all the three symptoms in both years exclusive of joint pain in 1995. Taking the effects of urbanization into consideration, stress perception seems to be closely related to the complaints of musculoskeletal symptoms in Japan.
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Statistical and Spatial Analysis of Bathymetric Data for the St. Clair River, 1971-2007
Bennion, David
2009-01-01
To address questions concerning ongoing geomorphic processes in the St. Clair River, selected bathymetric datasets spanning 36 years were analyzed. Comparisons of recent high-resolution datasets covering the upper river indicate a highly variable, active environment. Although statistical and spatial comparisons of the datasets show that some changes to the channel size and shape have taken place during the study period, uncertainty associated with various survey methods and interpolation processes limit the statistically certain results. The methods used to spatially compare the datasets are sensitive to small variations in position and depth that are within the range of uncertainty associated with the datasets. Characteristics of the data, such as the density of measured points and the range of values surveyed, can also influence the results of spatial comparison. With due consideration of these limitations, apparently active and ongoing areas of elevation change in the river are mapped and discussed.
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A survey of work engagement and psychological capital levels.
Bonner, Lynda
2016-08-11
To evaluate the relationship between work engagement and psychological capital (PsyCap) levels reported by registered nurses. PsyCap is a developable human resource. Research on PsyCap as an antecedent to work engagement in nurses is needed. A convenience sample of 137 registered nurses participated in this quantitative cross-sectional survey. Questionnaires measured self-reported levels of work engagement and psychological capital. Descriptive and inferential statistics were used for data analysis. There was a statistically significant correlation between work engagement and PsyCap scores (r=0.633, p<0.01). Nurses working at band 5 level reported statistically significantly lower PsyCap scores compared with nurses working at band 6 and 7 levels. Nurses reporting high levels of work engagement also reported high levels of PsyCap. Band 5 nurses might benefit most from interventions to increase their PsyCap. This study supports PsyCap as an antecedent to work engagement.
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J. D. Shaw
2006-01-01
Benefits of a strategic national forest inventory to science and society: the USDA Forest Service Forest Inventory and Analysis program. Forest Inventory and Analysis, previously known as Forest Survey, is one of the oldest research and development programs in the USDA Forest Service. Statistically-based inventory efforts that started in Scandinavian countries in the...
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Goyal, Ravi; De Gruttola, Victor
2018-01-30
Analysis of sexual history data intended to describe sexual networks presents many challenges arising from the fact that most surveys collect information on only a very small fraction of the population of interest. In addition, partners are rarely identified and responses are subject to reporting biases. Typically, each network statistic of interest, such as mean number of sexual partners for men or women, is estimated independently of other network statistics. There is, however, a complex relationship among networks statistics; and knowledge of these relationships can aid in addressing concerns mentioned earlier. We develop a novel method that constrains a posterior predictive distribution of a collection of network statistics in order to leverage the relationships among network statistics in making inference about network properties of interest. The method ensures that inference on network properties is compatible with an actual network. Through extensive simulation studies, we also demonstrate that use of this method can improve estimates in settings where there is uncertainty that arises both from sampling and from systematic reporting bias compared with currently available approaches to estimation. To illustrate the method, we apply it to estimate network statistics using data from the Chicago Health and Social Life Survey. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.
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The Relationship between Resettlement and Birth Rates: The Case of Gambella, Ethiopia.
Adugna, Aynalem; Kloos, Helmut
2016-07-01
This study aims to examine the possible impacts of resettlement on birth rates by using the length of stay variable in the 2000 Demographic and Health Survey (DHS). Data in all three rounds of Gambella Administrative Region's Demographic and Health Surveys (DHS) are analyzed. The neighboring administrative region of Benishangul-Gumuz is used as a control. The multivariate analysis of variance (MANOVA) is applied with duration of residence as a categorical independent variable. The statistical software SAS is used. In a univariate analysis of Gambella's DHS 2000, duration of residence has a significant effect on mothers' age at first birth (p < 0.001), the number of children born within the five years of the survey (p<0.001), and the total number of children ever born (P<0.001). In the MANOVA analysis, the duration effect on all three is also statistically significant (p<0.001). Resettlement had a disruptive effect on birth rates among females who were just coming into marriageable ages in places of origin but were resettled to Gambella. Although the disruptive effects waned over time, the initial shortfall resulted in reduced overall lifetime births for settler women who were not past the midpoint of their reproductive years at arrival. Based on the reproductive history of female settlers with different duration of residence in the resettlement schemes, we recommend the reinstatement of the length of residence question in future DHS surveys in Ethiopia to allow a longitudinal tracking of demographic trends among nonnative populations.
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2018-04-30
2017 Workplace and Gender Relations Survey of Reserve Component Members Statistical Methodology Report Additional copies of this report...Survey of Reserve Component Members Statistical Methodology Report Office of People Analytics (OPA) 4800 Mark Center Drive, Suite...RESERVE COMPONENT MEMBERS STATISTICAL METHODOLOGY REPORT Introduction The Office of People Analytics’ Center for Health and Resilience (OPA[H&R
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Neves-Silva, Priscila; Alvarez-Martín, Elena
2014-12-01
The objective of this study was to ascertain the social and demographical characteristics of disability in Latin America and verify the methodology used in the survey by questionnaires for the analysis of disabilities. It is a descriptive study that analyzed the data and methodology of disability surveys conducted in Latin America after 2001. It was noted that there is a big difference in the prevalence of disability found in the surveys that used the International Classification of Functioning, Disability and Health (ICF) for statistical analysis of people with disabilities. It was also shown that in Latin America motor disabilities are more prevalent in men over 65 years old and with a low educational level. The main cause is chronic disease. The conclusion is that ICF is a good methodological tool to use in disability survey questionnaires.
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Davis, Adam Christopher; Booth, Steven Richard
2015-08-20
Voluntary Protection Program (VPP) surveys were conducted in 2013 and 2014 to assess the degree to which workers at Los Alamos National Laboratory feel that their safety is valued by their management and peers. The goal of this analysis is to determine whether the difference between the VPP survey scores in 2013 and 2014 is significant, and to present the data in a way such that it can help identify either positive changes or potential opportunities for improvement. Data for several questions intended to identify the demographic groups of the respondent are included in both the 2013 and 2014 VPPmore » survey results. These can be used to identify any significant differences among groups of employees as well as to identify any temporal trends in these cohorts.« less
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An Initial Survey of Fractional Graph and Table Area in Behavioral Journals
ERIC Educational Resources Information Center
Kubina, Richard M., Jr.; Kostewicz, Douglas E.; Datchuck, Shawn M.
2008-01-01
This study examined the fractional graph area (FGA), the proportion of page space used to display statistical graphics, in 11 behavioral journals and places behavior analysis on a continuum with other natural, mathematical, and social science disciplines. The composite FGA of all 11 journals puts behavior analysis within the range of the social…
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ERIC Educational Resources Information Center
Dega, Bekele Gashe; Govender, Nadaraj
2016-01-01
This study compares the scientific and alternative conceptions of energy and momentum of university first-year science students in Ethiopia and the US. Written data were collected using the Energy and Momentum Conceptual Survey developed by Singh and Rosengrant. The Concentration Analysis statistical method was used for analysing the Ethiopian…
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ERIC Educational Resources Information Center
Tran, Le Huu Nghia
2017-01-01
This article reports a study that investigated student engagement and inhibitors of their engagement with developing employability skills via extra-curricular activities in Vietnamese universities. Content analysis of 18 interviews with students and statistical analysis of 423 students' responses to a paper-based survey showed that despite a…
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Number of Black Children in Extreme Poverty Hits Record High. Analysis Background.
ERIC Educational Resources Information Center
Children's Defense Fund, Washington, DC.
To examine the experiences of black children and poverty, researchers conducted a computer analysis of data from the U.S. Census Bureau's Current Population Survey, the source of official government poverty statistics. The data are through 2001. Results indicated that nearly 1 million black children were living in extreme poverty, with after-tax…
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An Overview of ACRL"Metrics", Part II: Using NCES and IPEDs Data
ERIC Educational Resources Information Center
Stewart, Christopher
2012-01-01
This report is the second in a two-part analysis of ACRL"Metrics", an online service that provides access to a range of quantitative data for academic libraries. In this analysis, ACRL"Metrics"' inclusion of data from the National Center for Educational Statistics' Academic Libraries Survey and the Integrated Postsecondary Education Data System is…
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OSPAR standard method and software for statistical analysis of beach litter data.
Schulz, Marcus; van Loon, Willem; Fleet, David M; Baggelaar, Paul; van der Meulen, Eit
2017-09-15
The aim of this study is to develop standard statistical methods and software for the analysis of beach litter data. The optimal ensemble of statistical methods comprises the Mann-Kendall trend test, the Theil-Sen slope estimation, the Wilcoxon step trend test and basic descriptive statistics. The application of Litter Analyst, a tailor-made software for analysing the results of beach litter surveys, to OSPAR beach litter data from seven beaches bordering on the south-eastern North Sea, revealed 23 significant trends in the abundances of beach litter types for the period 2009-2014. Litter Analyst revealed a large variation in the abundance of litter types between beaches. To reduce the effects of spatial variation, trend analysis of beach litter data can most effectively be performed at the beach or national level. Spatial aggregation of beach litter data within a region is possible, but resulted in a considerable reduction in the number of significant trends. Copyright © 2017 Elsevier Ltd. All rights reserved.
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A Statistical Analysis of Corona Topography: New Insights into Corona Formation and Evolution
NASA Technical Reports Server (NTRS)
Stofan, E. R.; Glaze, L. S.; Smrekar, S. E.; Baloga, S. M.
2003-01-01
Extensive mapping of the surface of Venus and continued analysis of Magellan data have allowed a more comprehensive survey of coronae to be conducted. Our updated corona database contains 514 features, an increase from the 326 coronae of the previous survey. We include a new set of 106 Type 2 or stealth coronae, which have a topographic rather than a fracture annulus. The large increase in the number of coronae over the 1992 survey results from several factors, including the use of the full Magellan data set and the addition of features identified as part of the systematic geologic mapping of Venus. Parameters of the population that we have analyzed to date include size and topography.
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NASA Astrophysics Data System (ADS)
Peel, Austin; Lin, Chieh-An; Lanusse, François; Leonard, Adrienne; Starck, Jean-Luc; Kilbinger, Martin
2017-03-01
Peak statistics in weak-lensing maps access the non-Gaussian information contained in the large-scale distribution of matter in the Universe. They are therefore a promising complementary probe to two-point and higher-order statistics to constrain our cosmological models. Next-generation galaxy surveys, with their advanced optics and large areas, will measure the cosmic weak-lensing signal with unprecedented precision. To prepare for these anticipated data sets, we assess the constraining power of peak counts in a simulated Euclid-like survey on the cosmological parameters Ωm, σ8, and w0de. In particular, we study how Camelus, a fast stochastic model for predicting peaks, can be applied to such large surveys. The algorithm avoids the need for time-costly N-body simulations, and its stochastic approach provides full PDF information of observables. Considering peaks with a signal-to-noise ratio ≥ 1, we measure the abundance histogram in a mock shear catalogue of approximately 5000 deg2 using a multiscale mass-map filtering technique. We constrain the parameters of the mock survey using Camelus combined with approximate Bayesian computation, a robust likelihood-free inference algorithm. Peak statistics yield a tight but significantly biased constraint in the σ8-Ωm plane, as measured by the width ΔΣ8 of the 1σ contour. We find Σ8 = σ8(Ωm/ 0.27)α = 0.77-0.05+0.06 with α = 0.75 for a flat ΛCDM model. The strong bias indicates the need to better understand and control the model systematics before applying it to a real survey of this size or larger. We perform a calibration of the model and compare results to those from the two-point correlation functions ξ± measured on the same field. We calibrate the ξ± result as well, since its contours are also biased, although not as severely as for peaks. In this case, we find for peaks Σ8 = 0.76-0.03+0.02 with α = 0.65, while for the combined ξ+ and ξ- statistics the values are Σ8 = 0.76-0.01+0.02 and α = 0.70. We conclude that the constraining power can therefore be comparable between the two weak-lensing observables in large-field surveys. Furthermore, the tilt in the σ8-Ωm degeneracy direction for peaks with respect to that of ξ± suggests that a combined analysis would yield tighter constraints than either measure alone. As expected, w0de cannot be well constrained without a tomographic analysis, but its degeneracy directions with the other two varied parameters are still clear for both peaks and ξ±.
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DOT National Transportation Integrated Search
1997-11-01
In support of the Federal Railroad Administration of the United States Department of Transportation, the Institute for Telecommunication Sciences (ITS) has completed a field spectrum uitilization survey designed to examine individual channel utilizat...
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Impact of spurious shear on cosmological parameter estimates from weak lensing observables
Petri, Andrea; May, Morgan; Haiman, Zoltán; ...
2014-12-30
We research, residual errors in shear measurements, after corrections for instrument systematics and atmospheric effects, can impact cosmological parameters derived from weak lensing observations. Here we combine convergence maps from our suite of ray-tracing simulations with random realizations of spurious shear. This allows us to quantify the errors and biases of the triplet (Ω m,w,σ 8) derived from the power spectrum (PS), as well as from three different sets of non-Gaussian statistics of the lensing convergence field: Minkowski functionals (MFs), low-order moments (LMs), and peak counts (PKs). Our main results are as follows: (i) We find an order of magnitudemore » smaller biases from the PS than in previous work. (ii) The PS and LM yield biases much smaller than the morphological statistics (MF, PK). (iii) For strictly Gaussian spurious shear with integrated amplitude as low as its current estimate of σ sys 2 ≈ 10 -7, biases from the PS and LM would be unimportant even for a survey with the statistical power of Large Synoptic Survey Telescope. However, we find that for surveys larger than ≈ 100 deg 2, non-Gaussianity in the noise (not included in our analysis) will likely be important and must be quantified to assess the biases. (iv) The morphological statistics (MF, PK) introduce important biases even for Gaussian noise, which must be corrected in large surveys. The biases are in different directions in (Ωm,w,σ8) parameter space, allowing self-calibration by combining multiple statistics. Our results warrant follow-up studies with more extensive lensing simulations and more accurate spurious shear estimates.« less
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Kottner, Jan; Halfens, Ruud
2010-05-01
Institutionally acquired pressure ulcers are used as outcome indicators to assess the quality of pressure ulcer prevention programs. Determining whether quality improvement projects that aim to decrease the proportions of institutionally acquired pressure ulcers lead to real changes in clinical practice depends on the measurement method and statistical analysis used. To examine whether nosocomial pressure ulcer prevalence rates in hospitals in the Netherlands changed, a secondary data analysis using different statistical approaches was conducted of annual (1998-2008) nationwide nursing-sensitive health problem prevalence studies in the Netherlands. Institutions that participated regularly in all survey years were identified. Risk-adjusted nosocomial pressure ulcers prevalence rates, grade 2 to 4 (European Pressure Ulcer Advisory Panel system) were calculated per year and hospital. Descriptive statistics, chi-square trend tests, and P charts based on statistical process control (SPC) were applied and compared. Six of the 905 healthcare institutions participated in every survey year and 11,444 patients in these six hospitals were identified as being at risk for pressure ulcers. Prevalence rates per year ranged from 0.05 to 0.22. Chi-square trend tests revealed statistically significant downward trends in four hospitals but based on SPC methods, prevalence rates of five hospitals varied by chance only. Results of chi-square trend tests and SPC methods were not comparable, making it impossible to decide which approach is more appropriate. P charts provide more valuable information than single P values and are more helpful for monitoring institutional performance. Empirical evidence about the decrease of nosocomial pressure ulcer prevalence rates in the Netherlands is contradictory and limited.
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SPS market analysis. [small solar thermal power systems
NASA Technical Reports Server (NTRS)
Goff, H. C.
1980-01-01
A market analysis task included personal interviews by GE personnel and supplemental mail surveys to acquire statistical data and to identify and measure attitudes, reactions and intentions of prospective small solar thermal power systems (SPS) users. Over 500 firms were contacted, including three ownership classes of electric utilities, industrial firms in the top SIC codes for energy consumption, and design engineering firms. A market demand model was developed which utilizes the data base developed by personal interviews and surveys, and projected energy price and consumption data to perform sensitivity analyses and estimate potential markets for SPS.
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Rendall, Michael S.; Ghosh-Dastidar, Bonnie; Weden, Margaret M.; Baker, Elizabeth H.; Nazarov, Zafar
2013-01-01
Within-survey multiple imputation (MI) methods are adapted to pooled-survey regression estimation where one survey has more regressors, but typically fewer observations, than the other. This adaptation is achieved through: (1) larger numbers of imputations to compensate for the higher fraction of missing values; (2) model-fit statistics to check the assumption that the two surveys sample from a common universe; and (3) specificying the analysis model completely from variables present in the survey with the larger set of regressors, thereby excluding variables never jointly observed. In contrast to the typical within-survey MI context, cross-survey missingness is monotonic and easily satisfies the Missing At Random (MAR) assumption needed for unbiased MI. Large efficiency gains and substantial reduction in omitted variable bias are demonstrated in an application to sociodemographic differences in the risk of child obesity estimated from two nationally-representative cohort surveys. PMID:24223447
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Validation of the Hospital Ethical Climate Survey for older people care.
Suhonen, Riitta; Stolt, Minna; Katajisto, Jouko; Charalambous, Andreas; Olson, Linda L
2015-08-01
The exploration of the ethical climate in the care settings for older people is highlighted in the literature, and it has been associated with various aspects of clinical practice and nurses' jobs. However, ethical climate is seldom studied in the older people care context. Valid, reliable, feasible measures are needed for the measurement of ethical climate. This study aimed to test the reliability, validity, and sensitivity of the Hospital Ethical Climate Survey in healthcare settings for older people. A non-experimental cross-sectional study design was employed, and a survey using questionnaires, including the Hospital Ethical Climate Survey was used for data collection. Data were analyzed using descriptive statistics, inferential statistics, and multivariable methods. Survey data were collected from a sample of nurses working in the care settings for older people in Finland (N = 1513, n = 874, response rate = 58%) in 2011. This study was conducted according to good scientific inquiry guidelines, and ethical approval was obtained from the university ethics committee. The mean score for the Hospital Ethical Climate Survey total was 3.85 (standard deviation = 0.56). Cronbach's alpha was 0.92. Principal component analysis provided evidence for factorial validity. LISREL provided evidence for construct validity based on goodness-of-fit statistics. Pearson's correlations of 0.68-0.90 were found between the sub-scales and the Hospital Ethical Climate Survey. The Hospital Ethical Climate Survey was found able to reveal discrimination across care settings and proved to be a valid and reliable tool for measuring ethical climate in care settings for older people and sensitive enough to reveal variations across various clinical settings. The Finnish version of the Hospital Ethical Climate Survey, used mainly in the hospital settings previously, proved to be a valid instrument to be used in the care settings for older people. Further studies are due to analyze the factor structure and some items of the Hospital Ethical Climate Survey. © The Author(s) 2014.
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Vahedi, Shahrum; Farrokhi, Farahman; Gahramani, Farahnaz; Issazadegan, Ali
2012-01-01
Objective: Approximately 66-80%of graduate students experience statistics anxiety and some researchers propose that many students identify statistics courses as the most anxiety-inducing courses in their academic curriculums. As such, it is likely that statistics anxiety is, in part, responsible for many students delaying enrollment in these courses for as long as possible. This paper proposes a canonical model by treating academic procrastination (AP), learning strategies (LS) as predictor variables and statistics anxiety (SA) as explained variables. Methods: A questionnaire survey was used for data collection and 246-college female student participated in this study. To examine the mutually independent relations between procrastination, learning strategies and statistics anxiety variables, a canonical correlation analysis was computed. Results: Findings show that two canonical functions were statistically significant. The set of variables (metacognitive self-regulation, source management, preparing homework, preparing for test and preparing term papers) helped predict changes of statistics anxiety with respect to fearful behavior, Attitude towards math and class, Performance, but not Anxiety. Conclusion: These findings could be used in educational and psychological interventions in the context of statistics anxiety reduction. PMID:24644468
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Draborg, Eva; Andersen, Christian Kronborg
2006-01-01
Health technology assessment (HTA) has been used as input in decision making worldwide for more than 25 years. However, no uniform definition of HTA or agreement on assessment methods exists, leaving open the question of what influences the choice of assessment methods in HTAs. The objective of this study is to analyze statistically a possible relationship between methods of assessment used in practical HTAs, type of assessed technology, type of assessors, and year of publication. A sample of 433 HTAs published by eleven leading institutions or agencies in nine countries was reviewed and analyzed by multiple logistic regression. The study shows that outsourcing of HTA reports to external partners is associated with a higher likelihood of using assessment methods, such as meta-analysis, surveys, economic evaluations, and randomized controlled trials; and with a lower likelihood of using assessment methods, such as literature reviews and "other methods". The year of publication was statistically related to the inclusion of economic evaluations and shows a decreasing likelihood during the year span. The type of assessed technology was related to economic evaluations with a decreasing likelihood, to surveys, and to "other methods" with a decreasing likelihood when pharmaceuticals were the assessed type of technology. During the period from 1989 to 2002, no major developments in assessment methods used in practical HTAs were shown statistically in a sample of 433 HTAs worldwide. Outsourcing to external assessors has a statistically significant influence on choice of assessment methods.
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End-of-life care practices of critical care nurses: A national cross-sectional survey.
Ranse, Kristen; Yates, Patsy; Coyer, Fiona
2016-05-01
The critical care context presents important opportunities for nurses to deliver skilled, comprehensive care to patients at the end of life and their families. Limited research has identified the actual end-of-life care practices of critical care nurses. To identify the end-of-life care practices of critical care nurses. A national cross-sectional online survey. The survey was distributed to members of an Australian critical care nursing association and 392 critical care nurses (response rate 25%) completed the survey. Exploratory factor analysis using principal axis factoring with oblique rotation was undertaken on survey responses to identify the domains of end-of-life care practice. Descriptive statistics were calculated for individual survey items. Exploratory factor analysis identified six domains of end-of-life care practice: information sharing, environmental modification, emotional support, patient and family centred decision-making, symptom management and spiritual support. Descriptive statistics identified a high level of engagement in information sharing and environmental modification practices and less frequent engagement in items from the emotional support and symptom management practice areas. The findings of this study identified domains of end-of-life care practice, and critical care nurse engagement in these practices. The findings highlight future training and practice development opportunities, including the need for experiential learning targeting the emotional support practice domain. Further research is needed to enhance knowledge of symptom management practices during the provision of end-of-life care to inform and improve practice in this area. Copyright © 2015 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved.
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The Importance of Attitudes in Statistics Education
ERIC Educational Resources Information Center
Ramirez, Caroline; Schau, Candace; Emmioglu, Esma
2012-01-01
People forget what they do not use. But attitudes "stick." Our article emphasizes the importance of students' attitudes toward statistics. We examine 15 surveys that purport to assess these attitudes and then describe the "Survey of Attitudes Toward Statistics," a commonly used attitude survey. We present our conceptual model…
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Shirasaki, Masato; Yoshida, Naoki, E-mail: masato.shirasaki@utap.phys.s.u-tokyo.ac.jp
2014-05-01
The measurement of cosmic shear using weak gravitational lensing is a challenging task that involves a number of complicated procedures. We study in detail the systematic errors in the measurement of weak-lensing Minkowski Functionals (MFs). Specifically, we focus on systematics associated with galaxy shape measurements, photometric redshift errors, and shear calibration correction. We first generate mock weak-lensing catalogs that directly incorporate the actual observational characteristics of the Canada-France-Hawaii Lensing Survey (CFHTLenS). We then perform a Fisher analysis using the large set of mock catalogs for various cosmological models. We find that the statistical error associated with the observational effects degradesmore » the cosmological parameter constraints by a factor of a few. The Subaru Hyper Suprime-Cam (HSC) survey with a sky coverage of ∼1400 deg{sup 2} will constrain the dark energy equation of the state parameter with an error of Δw {sub 0} ∼ 0.25 by the lensing MFs alone, but biases induced by the systematics can be comparable to the 1σ error. We conclude that the lensing MFs are powerful statistics beyond the two-point statistics only if well-calibrated measurement of both the redshifts and the shapes of source galaxies is performed. Finally, we analyze the CFHTLenS data to explore the ability of the MFs to break degeneracies between a few cosmological parameters. Using a combined analysis of the MFs and the shear correlation function, we derive the matter density Ω{sub m0}=0.256±{sub 0.046}{sup 0.054}.« less
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Percolation Analysis of a Wiener Reconstruction of the IRAS 1.2 Jy Redshift Catalog
NASA Astrophysics Data System (ADS)
Yess, Capp; Shandarin, Sergei F.; Fisher, Karl B.
1997-01-01
We present percolation analyses of Wiener reconstructions of the IRAS 1.2 Jy redshift survey. There are 10 reconstructions of galaxy density fields in real space spanning the range β = 0.1-1.0, where β = Ω0.6/b, Ω is the present dimensionless density, and b is the bias factor. Our method uses the growth of the largest cluster statistic to characterize the topology of a density field, where Gaussian randomized versions of the reconstructions are used as standards for analysis. For the reconstruction volume of radius R ~ 100 h-1 Mpc, percolation analysis reveals a slight ``meatball'' topology for the real space, galaxy distribution of the IRAS survey.
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Redmond, Shelagh M.; Alexander-Kisslig, Karin; Woodhall, Sarah C.; van den Broek, Ingrid V. F.; van Bergen, Jan; Ward, Helen; Uusküla, Anneli; Herrmann, Björn; Andersen, Berit; Götz, Hannelore M.; Sfetcu, Otilia; Low, Nicola
2015-01-01
Background Accurate information about the prevalence of Chlamydia trachomatis is needed to assess national prevention and control measures. Methods We systematically reviewed population-based cross-sectional studies that estimated chlamydia prevalence in European Union/European Economic Area (EU/EEA) Member States and non-European high income countries from January 1990 to August 2012. We examined results in forest plots, explored heterogeneity using the I2 statistic, and conducted random effects meta-analysis if appropriate. Meta-regression was used to examine the relationship between study characteristics and chlamydia prevalence estimates. Results We included 25 population-based studies from 11 EU/EEA countries and 14 studies from five other high income countries. Four EU/EEA Member States reported on nationally representative surveys of sexually experienced adults aged 18–26 years (response rates 52–71%). In women, chlamydia point prevalence estimates ranged from 3.0–5.3%; the pooled average of these estimates was 3.6% (95% CI 2.4, 4.8, I2 0%). In men, estimates ranged from 2.4–7.3% (pooled average 3.5%; 95% CI 1.9, 5.2, I2 27%). Estimates in EU/EEA Member States were statistically consistent with those in other high income countries (I2 0% for women, 6% for men). There was statistical evidence of an association between survey response rate and estimated chlamydia prevalence; estimates were higher in surveys with lower response rates, (p = 0.003 in women, 0.018 in men). Conclusions Population-based surveys that estimate chlamydia prevalence are at risk of participation bias owing to low response rates. Estimates obtained in nationally representative samples of the general population of EU/EEA Member States are similar to estimates from other high income countries. PMID:25615574
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NASA Astrophysics Data System (ADS)
Schmidt, Tobias M.; Worseck, Gabor; Hennawi, Joseph F.; Prochaska, J. Xavier; Crighton, Neil H. M.
2017-09-01
The He II transverse proximity effect—enhanced He II {Ly}α transmission in a background sightline caused by the ionizing radiation of a foreground quasar—offers a unique opportunity to probe the morphology of quasar-driven He II reionization. We conduct a comprehensive spectroscopic survey to find z˜ 3 quasars in the foreground of 22 background quasar sightlines with Hubble Space Telescope/COS He II {Ly}α transmission spectra. With our two-tiered survey strategy, consisting of a deep pencil-beam survey and a shallow wide-field survey, we discover 131 new quasars, which we complement with known SDSS/BOSS quasars in our fields. Using a restricted sample of 66 foreground quasars with inferred He II photoionization rates greater than the expected UV background at these redshifts ({{{Γ }}}{QSO}{He {{II}}}> 5× {10}-16 {{{s}}}-1) we perform the first statistical analysis of the He II transverse proximity effect. Our results show qualitative evidence for a large object-to-object variance: among the four foreground quasars with the highest {{{Γ }}}{QSO}{He {{II}}} only one (previously known) quasar is associated with a significant He II transmission spike. We perform a stacking analysis to average down these fluctuations, and detect an excess in the average He II transmission near the foreground quasars at 3σ significance. This statistical evidence for the transverse proximity effect is corroborated by a clear dependence of the signal strength on {{{Γ }}}{QSO}{He {{II}}}. Our detection places a purely geometrical lower limit on the quasar lifetime of {t}{{Q}}> 25 {Myr}. Improved modeling would additionally constrain quasar obscuration and the mean free path of He II-ionizing photons.
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NASA Astrophysics Data System (ADS)
Youngman, M.; Weil, C.; Salisbury, T.; Villarreal, C.
2015-12-01
The U.S. National Geodetic Survey is collecting airborne gravity with the Gravity for the Redefinition of the American Vertical Datum (GRAV-D) project to produce a geoid supporting heights accurate to 2 centimeters, where possible, with a modernized U.S. vertical datum in 2022. Targeting 15.6 million square kilometers, the GRAV-D project is unprecedented in its scope of consistently collected airborne gravity data across the entire U.S. and its holdings. Currently over 42% of data collection has been completed by 42 surveys (field campaigns) covering 34 completed blocks (data collection areas). The large amount of data available offers a unique opportunity to evaluate the causes of data quality variation from survey to survey. Two metrics were chosen to use as a basis for comparing the quality of each survey/block: 1. total crossover error (i.e. difference in gravity recorded at all locations of crossing flight lines) and 2. the statistical difference of the airborne gravity from the EGM2008 global model. We have determined that the aircraft used for surveying contributes significantly to the variation in data quality. This paper will further expand upon that recent work, using statistical analysis to determine the contribution of aircraft selection to data quality taking into account other variables such as differences in survey setup or weather conditions during surveying.
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Volberg, Rachel A; McNamara, Lauren M; Carris, Kari L
2018-06-01
While population surveys have been carried out in numerous jurisdictions internationally, little has been done to assess the relative strength of different risk factors that may contribute to the development of problem gambling. This is an important preparatory step for future research on the etiology of problem gambling. Using data from the 2006 California Problem Gambling Prevalence Survey, a telephone survey of adult California residents that used the NODS to assess respondents for gambling problems, binary logistic regression analysis was used to identify demographic characteristics, health-related behaviors, and gambling participation variables that statistically predicted the odds of being a problem or pathological gambler. In a separate approach, linear regression analysis was used to assess the impact of changes in these variables on the severity of the disorder. In both of the final models, the greatest statistical predictor of problem gambling status was past year Internet gambling. Furthermore, the unique finding of a significant interaction between physical or mental disability, Internet gambling, and problem gambling highlights the importance of exploring the interactions between different forms of gambling, the experience of mental and physical health issues, and the development of problem gambling using a longitudinal lens.
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NASA Astrophysics Data System (ADS)
Rubin, D.; Aldering, G.; Barbary, K.; Boone, K.; Chappell, G.; Currie, M.; Deustua, S.; Fagrelius, P.; Fruchter, A.; Hayden, B.; Lidman, C.; Nordin, J.; Perlmutter, S.; Saunders, C.; Sofiatti, C.; Supernova Cosmology Project, The
2015-11-01
While recent supernova (SN) cosmology research has benefited from improved measurements, current analysis approaches are not statistically optimal and will prove insufficient for future surveys. This paper discusses the limitations of current SN cosmological analyses in treating outliers, selection effects, shape- and color-standardization relations, unexplained dispersion, and heterogeneous observations. We present a new Bayesian framework, called UNITY (Unified Nonlinear Inference for Type-Ia cosmologY), that incorporates significant improvements in our ability to confront these effects. We apply the framework to real SN observations and demonstrate smaller statistical and systematic uncertainties. We verify earlier results that SNe Ia require nonlinear shape and color standardizations, but we now include these nonlinear relations in a statistically well-justified way. This analysis was primarily performed blinded, in that the basic framework was first validated on simulated data before transitioning to real data. We also discuss possible extensions of the method.
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William H. McWilliams; Richard A. Birdsey
1986-01-01
The forest inventory and analysis unit of the southern forest experiment station (Forest Survey) conducts periodic inventories about every 10 years covering forest resource inventories of Alabama, Arkansas, Louisiana, Mississippi, East Oklahoma, Tennessee, and East Texas. Appendix tables present summaries of timberland area, growing-stock volume, ownership class,...
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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…
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The Timing of First Marriage: Are There Religious Variations?
ERIC Educational Resources Information Center
Xu, Xiaohe; Hudspeth, Clark D.; Bartkowski, John P.
2005-01-01
Using survey data from a nationally representative sample, this article explores how marriage timing varies across major religious denominations. Survival analysis indicates that net of statistical controls, Catholics, moderate Protestants, conservative Protestants, and Mormons marry significantly earlier than their unaffiliated counterparts. This…
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Feminist music therapy pedagogy: a survey of music therapy educators.
Hahna, Nicole D; Schwantes, Melody
2011-01-01
This study surveyed 188 music therapy educators regarding their views and use of feminist pedagogy and feminist music therapy. The purpose of this study was two-fold: (a) to determine how many music therapy educators used feminist pedagogy and (b) to determine if there was a relationship between the use of feminist pedagogy and academic rank of the participants. Seventy-two participants responded to this study, with 69 participants included for data analysis. Stake and Hoffman's (2000) feminist pedagogy survey was adapted for this study, examining four subscales of feminist pedagogy: (a) participatory learning, (b) validation of personal experience/development of confidence, (c) political/ social activism, and (d) critical thinking/open-mindedness. The results revealed that 46% (n=32) of participants identified as feminist music therapists and 67% (n=46) of participants identified as using feminist pedagogy. Results of a mixed analysis of variance revealed a statistically significant difference within the four survey subscales (p<.0001), no significant difference (p=.32) for academic rank, and no significant interaction (p=.08) of academic rank and the four survey subscales. Tukey's post hoc analysis of the data indicated that the survey subscale measuring political activism (p<.0001) was significantly lower than the other three survey subscales. In addition, a qualitative analysis on open-ended responses is also included. Discussion of the results, limitations, and areas for future research are addressed.
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Swetha, Jonnalagadda Laxmi; Arpita, Ramisetti; Srikanth, Chintalapani; Nutalapati, Rajasekhar
2014-01-01
Biostatistics is an integral part of research protocols. In any field of inquiry or investigation, data obtained is subsequently classified, analyzed and tested for accuracy by statistical methods. Statistical analysis of collected data, thus, forms the basis for all evidence-based conclusions. The aim of this study is to evaluate the cognition, comprehension and application of biostatistics in research among post graduate students in Periodontics, in India. A total of 391 post graduate students registered for a master's course in periodontics at various dental colleges across India were included in the survey. Data regarding the level of knowledge, understanding and its application in design and conduct of the research protocol was collected using a dichotomous questionnaire. A descriptive statistics was used for data analysis. Nearly 79.2% students were aware of the importance of biostatistics in research, 55-65% were familiar with MS-EXCEL spreadsheet for graphical representation of data and with the statistical softwares available on the internet, 26.0% had biostatistics as mandatory subject in their curriculum, 9.5% tried to perform statistical analysis on their own while 3.0% were successful in performing statistical analysis of their studies on their own. Biostatistics should play a central role in planning, conduct, interim analysis, final analysis and reporting of periodontal research especially by the postgraduate students. Indian postgraduate students in periodontics are aware of the importance of biostatistics in research but the level of understanding and application is still basic and needs to be addressed.
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Stanisavljevic, Dejana; Trajkovic, Goran; Marinkovic, Jelena; Bukumiric, Zoran; Cirkovic, Andja; Milic, Natasa
2014-01-01
Background Medical statistics has become important and relevant for future doctors, enabling them to practice evidence based medicine. Recent studies report that students’ attitudes towards statistics play an important role in their statistics achievements. The aim of the study was to test the psychometric properties of the Serbian version of the Survey of Attitudes Towards Statistics (SATS) in order to acquire a valid instrument to measure attitudes inside the Serbian educational context. Methods The validation study was performed on a cohort of 417 medical students who were enrolled in an obligatory introductory statistics course. The SATS adaptation was based on an internationally accepted methodology for translation and cultural adaptation. Psychometric properties of the Serbian version of the SATS were analyzed through the examination of factorial structure and internal consistency. Results Most medical students held positive attitudes towards statistics. The average total SATS score was above neutral (4.3±0.8), and varied from 1.9 to 6.2. Confirmatory factor analysis validated the six-factor structure of the questionnaire (Affect, Cognitive Competence, Value, Difficulty, Interest and Effort). Values for fit indices TLI (0.940) and CFI (0.961) were above the cut-off of ≥0.90. The RMSEA value of 0.064 (0.051–0.078) was below the suggested value of ≤0.08. Cronbach’s alpha of the entire scale was 0.90, indicating scale reliability. In a multivariate regression model, self-rating of ability in mathematics and current grade point average were significantly associated with the total SATS score after adjusting for age and gender. Conclusion Present study provided the evidence for the appropriate metric properties of the Serbian version of SATS. Confirmatory factor analysis validated the six-factor structure of the scale. The SATS might be reliable and a valid instrument for identifying medical students’ attitudes towards statistics in the Serbian educational context. PMID:25405489
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Stanisavljevic, Dejana; Trajkovic, Goran; Marinkovic, Jelena; Bukumiric, Zoran; Cirkovic, Andja; Milic, Natasa
2014-01-01
Medical statistics has become important and relevant for future doctors, enabling them to practice evidence based medicine. Recent studies report that students' attitudes towards statistics play an important role in their statistics achievements. The aim of the study was to test the psychometric properties of the Serbian version of the Survey of Attitudes Towards Statistics (SATS) in order to acquire a valid instrument to measure attitudes inside the Serbian educational context. The validation study was performed on a cohort of 417 medical students who were enrolled in an obligatory introductory statistics course. The SATS adaptation was based on an internationally accepted methodology for translation and cultural adaptation. Psychometric properties of the Serbian version of the SATS were analyzed through the examination of factorial structure and internal consistency. Most medical students held positive attitudes towards statistics. The average total SATS score was above neutral (4.3±0.8), and varied from 1.9 to 6.2. Confirmatory factor analysis validated the six-factor structure of the questionnaire (Affect, Cognitive Competence, Value, Difficulty, Interest and Effort). Values for fit indices TLI (0.940) and CFI (0.961) were above the cut-off of ≥0.90. The RMSEA value of 0.064 (0.051-0.078) was below the suggested value of ≤0.08. Cronbach's alpha of the entire scale was 0.90, indicating scale reliability. In a multivariate regression model, self-rating of ability in mathematics and current grade point average were significantly associated with the total SATS score after adjusting for age and gender. Present study provided the evidence for the appropriate metric properties of the Serbian version of SATS. Confirmatory factor analysis validated the six-factor structure of the scale. The SATS might be reliable and a valid instrument for identifying medical students' attitudes towards statistics in the Serbian educational context.
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A Secondary Analysis of the Impact of School Management Practices on School Performance
ERIC Educational Resources Information Center
Talbert, Dale A.
2009-01-01
The purpose of this study was to conduct a secondary analysis of the impact of school management practices on school performance utilizing a survey design of School and Staffing (SASS) data collected by the National Center for Education Statistics (NCES) of the U.S. Department of Education, 1999-2000. The study identifies those school management…
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ERIC Educational Resources Information Center
Bennof, Richard J.
2009-01-01
This analysis first addresses federal science and engineering (S&E) support findings for all academic institutions, followed by an analysis of the major findings on minority-serving institutions. The National Science Foundation's (NSF's) latest statistics from the Survey of Federal Science and Engineering Support to Universities, Colleges, and…
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Vermont's use-value appraisal property tax program: a forest inventory and analysis
Paul E. Sendak; Donald F. Dennis; Donald F. Dennis
1989-01-01
A statistical report and analysis of the timberland enrolled in the Vermont Use Value Appraisal (UVA) property tax program. The study was conducted using data collected in the fourth forest survey of Vermont (1983). Estimates are presented on land area, timber volumes, tree quality, numbers of live trees, and biomass for timberland enrolled in the UVA program and for...
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School Enrollment in Iraq during the U.S-Led Invasion: A Statistical Analysis
ERIC Educational Resources Information Center
Shafiq, M. Najeeb
2012-01-01
Little is known about the educational consequences in Iraq during the U.S.-led invasion of 2003-2010. This study examines school enrollment based on the 2007 Iraq Household Socio-Economic Survey. There are three main findings. First, a population-weighted analysis indicates that the school enrollment rate (72.3 percent) is lower than past Iraqi…
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School Enrollment in Iraq during the U.S.-Led Invasion: A Statistical Analysis
ERIC Educational Resources Information Center
Shafiq, M. Najeeb
2013-01-01
Little is known about the educational consequences in Iraq during the U.S.-led invasion of 2003-2010. This study examines school enrollment based on the 2007 Iraq Household Socio-Economic Survey. There are three main findings. First, a population-weighted analysis indicates that the school enrollment rate (72.3%) is lower than past Iraqi rates but…
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Can, Elif; Richter, Felicitas; Valchanova, Ralitsa; Dewey, Marc
2016-01-01
Objectives To identify underlying causes for failure of medical thesis projects and the constantly high drop-out rate in Germany from the supervisors' perspective and to compare the results with the students' perspective. Setting Cross-sectional survey. Online questionnaire for survey of medical thesis supervisors among the staff of Charité—Universitätsmedizin Berlin, Germany. Published, earlier longitudinal survey among students for comparison. Participants 1069 thesis supervisors participated. Data extraction and synthesis Data are presented using descriptive statistics, and the χ2 test served to compare the results among supervisors with the earlier data from the longitudinal survey of doctoral students. Primary and secondary outcomes Not applicable. This survey is an observational study. Results Of 3653 potential participants, 1069 (29.3%) supervising 3744 doctoral candidates participated in the study. Supervisors considered themselves to be highly motivated and to offer adequate supervision. On the other hand, 87% stated that they did not feel well prepared for thesis supervision. Supervisors gave lack of timeliness of doctoral students and personal differences (p=0.024 and p=0.001) as the main reasons for terminating thesis projects. Doctoral students predominantly mentioned methodological problems and difficult subjects as critical issues (p=0.001 and p<0.001). Specifically, students felt ill prepared for the statistical part of their research—49.5% stated that they never received statistical assistance, whereas 97% of supervisors claimed to help their students with statistical analysis. Conclusions The authors found that both thesis supervisors and medical students feel ill prepared for their roles in the process of a medical dissertation. Contradictory reasons for terminating medical thesis projects based on supervisors' and students' self-assessment suggest a lack of communication and true scientific collaboration between supervisors and doctoral students as the major underlying issue that requires resolution. PMID:27742631
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Can, Elif; Richter, Felicitas; Valchanova, Ralitsa; Dewey, Marc
2016-10-14
To identify underlying causes for failure of medical thesis projects and the constantly high drop-out rate in Germany from the supervisors' perspective and to compare the results with the students' perspective. Cross-sectional survey. Online questionnaire for survey of medical thesis supervisors among the staff of Charité-Universitätsmedizin Berlin, Germany. Published, earlier longitudinal survey among students for comparison. 1069 thesis supervisors participated. Data are presented using descriptive statistics, and the χ 2 test served to compare the results among supervisors with the earlier data from the longitudinal survey of doctoral students. Not applicable. This survey is an observational study. Of 3653 potential participants, 1069 (29.3%) supervising 3744 doctoral candidates participated in the study. Supervisors considered themselves to be highly motivated and to offer adequate supervision. On the other hand, 87% stated that they did not feel well prepared for thesis supervision. Supervisors gave lack of timeliness of doctoral students and personal differences (p=0.024 and p=0.001) as the main reasons for terminating thesis projects. Doctoral students predominantly mentioned methodological problems and difficult subjects as critical issues (p=0.001 and p<0.001). Specifically, students felt ill prepared for the statistical part of their research-49.5% stated that they never received statistical assistance, whereas 97% of supervisors claimed to help their students with statistical analysis. The authors found that both thesis supervisors and medical students feel ill prepared for their roles in the process of a medical dissertation. Contradictory reasons for terminating medical thesis projects based on supervisors' and students' self-assessment suggest a lack of communication and true scientific collaboration between supervisors and doctoral students as the major underlying issue that requires resolution. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
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Management System of Occupational Diseases in Korea: Statistics, Report and Monitoring System
Choe, Seong Weon
2010-01-01
The management system of occupational diseases in Korea can be assessed from the perspective of a surveillance system. Workers' compensation insurance reports are used to produce official statistics on occupational diseases in Korea. National working conditions surveys are used to monitor the magnitude of work-related symptoms and signs in the labor force. A health examination program was introduced to detect occupational diseases through both selective and mass screening programs. The Working Environment Measurement Institution assesses workers' exposure to hazards in the workplace. Government regulates that the employer should do health examinations and working conditions measurement through contracted private agencies and following the Occupational Safety and Health Act. It is hoped that these institutions may be able to effectively detect and monitor occupational diseases and hazards in the workplace. In view of this, the occupational management system in Korea is well designed, except for the national survey system. In the future, national surveys for detection of hazards and ill-health outcomes in workers should be developed. The existing surveillance system for occupational disease can be improved by providing more refined information through statistical analysis of surveillance data. PMID:21258584
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NASA Astrophysics Data System (ADS)
Michaels, Mishelle; Shepard, Marshall; Aberson, Sim; Friedman, Howard; Murphy, Kathleen
2001-07-01
In the spring of 1999, the American Meteorological Society surveyed its membership in order to update demographic information on the Society and to gain a more detailed perspective on the workplace. The survey was sent out with the dues statement and was solicited on a separate form returned independently to protect privacy and maintain anonymity. The responses were captured in a newly employed, machine-readable format to provide an ease of statistical analysis and data compilation not available in prior survey analysis. This data collection and subsequent demographic analysis represents the first attempt to update information regarding the membership since the 1993 survey results were published by Zevin and Seitter. The format of the 1999 survey was designed to logically follow and expand upon the historical data of the membership collected at varying intervals since 1975. The 1999 survey was broken into six parts. The sections on demographics, education, and current employment closely followed the previous surveys from 1993 and 1990 to facilitate direct comparisons between historical datasets whenever possible. The last three sections were reworked to elicit more declarative responses regarding personal circumstances, workplace circumstances, and additional issues concerning career choice and AMS membership, respectively. An additional space was provided for narrative comments regarding opportunities for women and minorities in the AMS-related sciences. Some 10 000 members were sent the 1999 dues statement and enclosed survey questionnaire. A total of 4669 members responded. The following is a detailed analysis of the data collected from the 1999 membership survey.
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Data handling and analysis for the 1971 corn blight watch experiment.
NASA Technical Reports Server (NTRS)
Anuta, P. E.; Phillips, T. L.; Landgrebe, D. A.
1972-01-01
Review of the data handling and analysis methods used in the near-operational test of remote sensing systems provided by the 1971 corn blight watch experiment. The general data analysis techniques and, particularly, the statistical multispectral pattern recognition methods for automatic computer analysis of aircraft scanner data are described. Some of the results obtained are examined, and the implications of the experiment for future data communication requirements of earth resource survey systems are discussed.
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Brett Butler; Jaketon H. Hewes; Brenton J. Dickinson; Kyle Andrejczyk; Sarah M. Butler; Marla. Markowski-Lindsay
2016-01-01
This report summarizes the results from the 2011-2013 National Woodland Owner Survey (NWOS) conducted by the U.S. Forest Service, Forest Inventory and Analysis program. The focus of the results reported here is family forest and woodland ownerships with holdings of at least 10 acres. Summaries are based on responses from 8,576 family ownerships with at least 10 acres...
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Estimated intakes and sources of total and added sugars in the Canadian diet.
Brisbois, Tristin D; Marsden, Sandra L; Anderson, G Harvey; Sievenpiper, John L
2014-05-08
National food supply data and dietary surveys are essential to estimate nutrient intakes and monitor trends, yet there are few published studies estimating added sugars consumption. The purpose of this report was to estimate and trend added sugars intakes and their contribution to total energy intake among Canadians by, first, using Canadian Community Health Survey (CCHS) nutrition survey data of intakes of sugars in foods and beverages, and second, using Statistics Canada availability data and adjusting these for wastage to estimate intakes. Added sugars intakes were estimated from CCHS data by categorizing the sugars content of food groups as either added or naturally occurring. Added sugars accounted for approximately half of total sugars consumed. Annual availability data were obtained from Statistics Canada CANSIM database. Estimates for added sugars were obtained by summing the availability of "sugars and syrups" with availability of "soft drinks" (proxy for high fructose corn syrup) and adjusting for waste. Analysis of both survey and availability data suggests that added sugars average 11%-13% of total energy intake. Availability data indicate that added sugars intakes have been stable or modestly declining as a percent of total energy over the past three decades. Although these are best estimates based on available data, this analysis may encourage the development of better databases to help inform public policy recommendations.
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Estimated Intakes and Sources of Total and Added Sugars in the Canadian Diet
Brisbois, Tristin D.; Marsden, Sandra L.; Anderson, G. Harvey; Sievenpiper, John L.
2014-01-01
National food supply data and dietary surveys are essential to estimate nutrient intakes and monitor trends, yet there are few published studies estimating added sugars consumption. The purpose of this report was to estimate and trend added sugars intakes and their contribution to total energy intake among Canadians by, first, using Canadian Community Health Survey (CCHS) nutrition survey data of intakes of sugars in foods and beverages, and second, using Statistics Canada availability data and adjusting these for wastage to estimate intakes. Added sugars intakes were estimated from CCHS data by categorizing the sugars content of food groups as either added or naturally occurring. Added sugars accounted for approximately half of total sugars consumed. Annual availability data were obtained from Statistics Canada CANSIM database. Estimates for added sugars were obtained by summing the availability of “sugars and syrups” with availability of “soft drinks” (proxy for high fructose corn syrup) and adjusting for waste. Analysis of both survey and availability data suggests that added sugars average 11%–13% of total energy intake. Availability data indicate that added sugars intakes have been stable or modestly declining as a percent of total energy over the past three decades. Although these are best estimates based on available data, this analysis may encourage the development of better databases to help inform public policy recommendations. PMID:24815507
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General aviation activity and avionics survey. Annual report for CY81
DOE Office of Scientific and Technical Information (OSTI.GOV)
Schwenk, J.C.; Carter, P.W.
1982-12-01
This report presents the results and a description of the 1981 General Aviation Activity and Avionics Survey. The survey was conducted during 1982 by the FAA to obtain information on the activity and avionics of the United States registered general aviation aircraft fleet, the dominant component of civil aviation in the U.S. The survey was based on a statistically selected sample of about 8.9 percent of the general aviation fleet and obtained a response rate of 61 percent. Survey results are based upon response but are expanded upward to represent the total population. Survey results revealed that during 1981 anmore » estimated 40.7 million hours of flying time were logged by the 213,226 active general aviation aircraft in the U.S. fleet, yielding a mean annual flight time per aircraft of 188.1 hours. The active aircraft represented about 83 percent of the registered general aviation fleet. The report contains breakdowns of these and other statistics by manufacturer/model group, aircraft type, state and region of based aircraft, and primary use. Also included are fuel consumption, lifetime airframe hours, avionics, and engine hours estimates. In addition, tables are included for detailed analysis of the avionics capabilities of GA fleet.« less
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Besley, John C; Oh, Sang-Hwa
2014-05-01
This study involves the analysis of three waves of survey data about nuclear energy using a probability-based online panel of respondents in the United States. Survey waves included an initial baseline survey conducted in early 2010, a follow-up survey conducted in 2010 following the Deepwater Horizon oil spill in the Gulf of Mexico, and an additional follow-up conducted just after the 2011 Fukushima, Japan, nuclear accident. The central goal is to assess the degree to which changes in public views following an accident are contingent on individual attention and respondent predispositions. Such results would provide real-world evidence of motivated reasoning. The primary analysis focuses on the impact of Fukushima and how the impact of individual attention to energy issues is moderated by both environmental views and political ideology over time. The analysis uses both mean comparisons and multivariate statistics to test key relationships. Additional variables common in the study of emerging technologies are included in the analysis, including demographics, risk and benefit perceptions, and views about the fairness of decisionmakers in both government and the private sector. © 2013 Society for Risk Analysis.
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Symposium Issue on the Energy Information Administration.
ERIC Educational Resources Information Center
Kent, Calvin A.; And Others
1993-01-01
Describes the Energy Information Administration (EIA), a statistical agency which provides credible, timely, and useful energy information for decision makers in all sectors of society. The 10 articles included in the volume cover survey design, data collection, data integration, data analysis, modeling and forecasting, confidentiality, and…
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77 FR 8804 - Submission for OMB Review; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2012-02-15
..., is frequently used to monitor the business cycle. This survey provides an essential component of the... planning and analysis to business firms, trade associations, research and consulting agencies, and academia... project future movements in manufacturing activity. These statistics are valuable for analysts of business...
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Tsatsarelis, Thomas; Antonopoulos, Ioannis; Karagiannidis, Avraam; Perkoulidis, George
2007-10-01
This study presents an assessment of the current status of open dumps in Laconia prefecture of Peloponnese in southern Greece, where all open dumps are targeted for closure by 2008. An extensive field survey was conducted in 2005 to register existing sites in the prefecture. The data collected included the site area and age, waste depth, type of disposed waste, distance from nearest populated area, local geographical features and observed practices of open burning and soil coverage. On the basis of the collected data, a GIS database was developed, and the above parameters were statistically analysed. Subsequently, a decision tool for the restoration of open dumps was implemented, which led to the prioritization of site restorations and specific decisions about appropriate restoration steps for each site. The sites requiring restoration were then further classified using Principal Component Analysis, in order to categorize them into groups suitable for similar restoration work, thus facilitating fund allocation and subsequent restoration project management.
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Cosmological Constraints from Galaxy Cluster Velocity Statistics
NASA Astrophysics Data System (ADS)
Bhattacharya, Suman; Kosowsky, Arthur
2007-04-01
Future microwave sky surveys will have the sensitivity to detect the kinematic Sunyaev-Zeldovich signal from moving galaxy clusters, thus providing a direct measurement of their line-of-sight peculiar velocity. We show that cluster peculiar velocity statistics applied to foreseeable surveys will put significant constraints on fundamental cosmological parameters. We consider three statistical quantities that can be constructed from a cluster peculiar velocity catalog: the probability density function, the mean pairwise streaming velocity, and the pairwise velocity dispersion. These quantities are applied to an envisioned data set that measures line-of-sight cluster velocities with normal errors of 100 km s-1 for all clusters with masses larger than 1014 Msolar over a sky area of up to 5000 deg2. A simple Fisher matrix analysis of this survey shows that the normalization of the matter power spectrum and the dark energy equation of state can be constrained to better than 10%, and that the Hubble constant and the primordial power spectrum index can be constrained to a few percent, independent of any other cosmological observations. We also find that the current constraint on the power spectrum normalization can be improved by more than a factor of 2 using data from a 400 deg2 survey and WMAP third-year priors. We also show how the constraints on cosmological parameters change if cluster velocities are measured with normal errors of 300 km s-1.
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Malvisi, Lucio; Troisi, Catherine L; Selwyn, Beatrice J
2018-06-23
The risk of malaria infection displays spatial and temporal variability that is likely due to interaction between the physical environment and the human population. In this study, we performed a spatial analysis at three different time points, corresponding to three cross-sectional surveys conducted as part of an insecticide-treated bed nets efficacy study, to reveal patterns of malaria incidence distribution in an area of Northern Guatemala characterized by low malaria endemicity. A thorough understanding of the spatial and temporal patterns of malaria distribution is essential for targeted malaria control programs. Two methods, the local Moran's I and the Getis-Ord G * (d), were used for the analysis, providing two different statistical approaches and allowing for a comparison of results. A distance band of 3.5 km was considered to be the most appropriate distance for the analysis of data based on epidemiological and entomological factors. Incidence rates were higher at the first cross-sectional survey conducted prior to the intervention compared to the following two surveys. Clusters or hot spots of malaria incidence exhibited high spatial and temporal variations. Findings from the two statistics were similar, though the G * (d) detected cold spots using a higher distance band (5.5 km). The high spatial and temporal variability in the distribution of clusters of high malaria incidence seems to be consistent with an area of unstable malaria transmission. In such a context, a strong surveillance system and the use of spatial analysis may be crucial for targeted malaria control activities.
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ERIC Educational Resources Information Center
National Center for Education Statistics (ED), Washington, DC.
The Schools and Staffing Survey (SASS) is an integrated system of surveys of public and private schools, school districts, school administrators, and teachers conducted by the National Center for Education Statistics (NCES). This collection contains papers related to the SASS presented at meetings of the American Statistical Association in August…
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Methods for collection and analysis of aquatic biological and microbiological samples
Greeson, Phillip E.; Ehlke, T.A.; Irwin, G.A.; Lium, B.W.; Slack, K.V.
1977-01-01
Chapter A4 contains methods used by the U.S. Geological Survey to collect, preserve, and analyze waters to determine their biological and microbiological properties. Part 1 discusses biological sampling and sampling statistics. The statistical procedures are accompanied by examples. Part 2 consists of detailed descriptions of more than 45 individual methods, including those for bacteria, phytoplankton, zooplankton, seston, periphyton, macrophytes, benthic invertebrates, fish and other vertebrates, cellular contents, productivity, and bioassays. Each method is summarized, and the application, interferences, apparatus, reagents, collection, analysis, calculations, reporting of results, precision and references are given. Part 3 consists of a glossary. Part 4 is a list of taxonomic references.
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Navigating complex sample analysis using national survey data.
Saylor, Jennifer; Friedmann, Erika; Lee, Hyeon Joo
2012-01-01
The National Center for Health Statistics conducts the National Health and Nutrition Examination Survey and other national surveys with probability-based complex sample designs. Goals of national surveys are to provide valid data for the population of the United States. Analyses of data from population surveys present unique challenges in the research process but are valuable avenues to study the health of the United States population. The aim of this study was to demonstrate the importance of using complex data analysis techniques for data obtained with complex multistage sampling design and provide an example of analysis using the SPSS Complex Samples procedure. Illustration of challenges and solutions specific to secondary data analysis of national databases are described using the National Health and Nutrition Examination Survey as the exemplar. Oversampling of small or sensitive groups provides necessary estimates of variability within small groups. Use of weights without complex samples accurately estimates population means and frequency from the sample after accounting for over- or undersampling of specific groups. Weighting alone leads to inappropriate population estimates of variability, because they are computed as if the measures were from the entire population rather than a sample in the data set. The SPSS Complex Samples procedure allows inclusion of all sampling design elements, stratification, clusters, and weights. Use of national data sets allows use of extensive, expensive, and well-documented survey data for exploratory questions but limits analysis to those variables included in the data set. The large sample permits examination of multiple predictors and interactive relationships. Merging data files, availability of data in several waves of surveys, and complex sampling are techniques used to provide a representative sample but present unique challenges. In sophisticated data analysis techniques, use of these data is optimized.
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Data handling and analysis for the 1971 corn blight watch experiment
NASA Technical Reports Server (NTRS)
Anuta, P. E.; Phillips, T. L.
1973-01-01
The overall corn blight watch experiment data flow is described and the organization of the LARS/Purdue data center is discussed. Data analysis techniques are discussed in general and the use of statistical multispectral pattern recognition methods for automatic computer analysis of aircraft scanner data is described. Some of the results obtained are discussed and the implications of the experiment on future data communication requirements for earth resource survey systems is discussed.
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USGS library for S-PLUS for Windows -- Release 4.0
Lorenz, David L.; Ahearn, Elizabeth A.; Carter, Janet M.; Cohn, Timothy A.; Danchuk, Wendy J.; Frey, Jeffrey W.; Helsel, Dennis R.; Lee, Kathy E.; Leeth, David C.; Martin, Jeffrey D.; McGuire, Virginia L.; Neitzert, Kathleen M.; Robertson, Dale M.; Slack, James R.; Starn, J. Jeffrey; Vecchia, Aldo V.; Wilkison, Donald H.; Williamson, Joyce E.
2011-01-01
Release 4.0 of the U.S. Geological Survey S-PLUS library supercedes release 2.1. It comprises functions, dialogs, and datasets used in the U.S. Geological Survey for the analysis of water-resources data. This version does not contain ESTREND, which was in version 2.1. See Release 2.1 for information and access to that version. This library requires Release 8.1 or later of S-PLUS for Windows. S-PLUS is a commercial statistical and graphical analysis software package produced by TIBCO corporation(http://www.tibco.com/). The USGS library is not supported by TIBCO or its technical support staff.
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Order statistics applied to the most massive and most distant galaxy clusters
NASA Astrophysics Data System (ADS)
Waizmann, J.-C.; Ettori, S.; Bartelmann, M.
2013-06-01
In this work, we present an analytic framework for calculating the individual and joint distributions of the nth most massive or nth highest redshift galaxy cluster for a given survey characteristic allowing us to formulate Λ cold dark matter (ΛCDM) exclusion criteria. We show that the cumulative distribution functions steepen with increasing order, giving them a higher constraining power with respect to the extreme value statistics. Additionally, we find that the order statistics in mass (being dominated by clusters at lower redshifts) is sensitive to the matter density and the normalization of the matter fluctuations, whereas the order statistics in redshift is particularly sensitive to the geometric evolution of the Universe. For a fixed cosmology, both order statistics are efficient probes of the functional shape of the mass function at the high-mass end. To allow a quick assessment of both order statistics, we provide fits as a function of the survey area that allow percentile estimation with an accuracy better than 2 per cent. Furthermore, we discuss the joint distributions in the two-dimensional case and find that for the combination of the largest and the second largest observation, it is most likely to find them to be realized with similar values with a broadly peaked distribution. When combining the largest observation with higher orders, it is more likely to find a larger gap between the observations and when combining higher orders in general, the joint probability density function peaks more strongly. Having introduced the theory, we apply the order statistical analysis to the Southpole Telescope (SPT) massive cluster sample and metacatalogue of X-ray detected clusters of galaxies catalogue and find that the 10 most massive clusters in the sample are consistent with ΛCDM and the Tinker mass function. For the order statistics in redshift, we find a discrepancy between the data and the theoretical distributions, which could in principle indicate a deviation from the standard cosmology. However, we attribute this deviation to the uncertainty in the modelling of the SPT survey selection function. In turn, by assuming the ΛCDM reference cosmology, order statistics can also be utilized for consistency checks of the completeness of the observed sample and of the modelling of the survey selection function.
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Students' attitudes towards learning statistics
NASA Astrophysics Data System (ADS)
Ghulami, Hassan Rahnaward; Hamid, Mohd Rashid Ab; Zakaria, Roslinazairimah
2015-05-01
Positive attitude towards learning is vital in order to master the core content of the subject matters under study. This is unexceptional in learning statistics course especially at the university level. Therefore, this study investigates the students' attitude towards learning statistics. Six variables or constructs have been identified such as affect, cognitive competence, value, difficulty, interest, and effort. The instrument used for the study is questionnaire that was adopted and adapted from the reliable instrument of Survey of Attitudes towards Statistics(SATS©). This study is conducted to engineering undergraduate students in one of the university in the East Coast of Malaysia. The respondents consist of students who were taking the applied statistics course from different faculties. The results are analysed in terms of descriptive analysis and it contributes to the descriptive understanding of students' attitude towards the teaching and learning process of statistics.
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Multi-country health surveys: are the analyses misleading?
Masood, Mohd; Reidpath, Daniel D
2014-05-01
The aim of this paper was to review the types of approaches currently utilized in the analysis of multi-country survey data, specifically focusing on design and modeling issues with a focus on analyses of significant multi-country surveys published in 2010. A systematic search strategy was used to identify the 10 multi-country surveys and the articles published from them in 2010. The surveys were selected to reflect diverse topics and foci; and provide an insight into analytic approaches across research themes. The search identified 159 articles appropriate for full text review and data extraction. The analyses adopted in the multi-country surveys can be broadly classified as: univariate/bivariate analyses, and multivariate/multivariable analyses. Multivariate/multivariable analyses may be further divided into design- and model-based analyses. Of the 159 articles reviewed, 129 articles used model-based analysis, 30 articles used design-based analyses. Similar patterns could be seen in all the individual surveys. While there is general agreement among survey statisticians that complex surveys are most appropriately analyzed using design-based analyses, most researchers continued to use the more common model-based approaches. Recent developments in design-based multi-level analysis may be one approach to include all the survey design characteristics. This is a relatively new area, however, and there remains statistical, as well as applied analytic research required. An important limitation of this study relates to the selection of the surveys used and the choice of year for the analysis, i.e., year 2010 only. There is, however, no strong reason to believe that analytic strategies have changed radically in the past few years, and 2010 provides a credible snapshot of current practice.
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Granato, Gregory E.
2009-01-01
Streamflow information is important for many planning and design activities including water-supply analysis, habitat protection, bridge and culvert design, calibration of surface and ground-water models, and water-quality assessments. Streamflow information is especially critical for water-quality assessments (Warn and Brew, 1980; Di Toro, 1984; Driscoll and others, 1989; Driscoll and others, 1990, a,b). Calculation of streamflow statistics for receiving waters is necessary to estimate the potential effects of point sources such as wastewater-treatment plants and nonpoint sources such as highway and urban-runoff discharges on receiving water. Streamflow statistics indicate the amount of flow that may be available for dilution and transport of contaminants (U.S. Environmental Protection Agency, 1986; Driscoll and others, 1990, a,b). Streamflow statistics also may be used to indicate receiving-water quality because concentrations of water-quality constituents commonly vary naturally with streamflow. For example, concentrations of suspended sediment and sediment-associated constituents (such as nutrients, trace elements, and many organic compounds) commonly increase with increasing flows, and concentrations of many dissolved constituents commonly decrease with increasing flows in streams and rivers (O'Connor, 1976; Glysson, 1987; Vogel and others, 2003, 2005). Reliable, efficient and repeatable methods are needed to access and process streamflow information and data. For example, the Nation's highway infrastructure includes an innumerable number of stream crossings and stormwater-outfall points for which estimates of stream-discharge statistics may be needed. The U.S. Geological Survey (USGS) streamflow data-collection program is designed to provide streamflow data at gaged sites and to provide information that can be used to estimate streamflows at almost any point along any stream in the United States (Benson and Carter, 1973; Wahl and others, 1995; National Research Council, 2004). The USGS maintains the National Water Information System (NWIS), a distributed network of computers and file servers used to store and retrieve hydrologic data (Mathey, 1998; U.S. Geological Survey, 2008). NWISWeb is an online version of this database that includes water data from more than 24,000 streamflow-gaging stations throughout the United States (U.S. Geological Survey, 2002, 2008). Information from NWISWeb is commonly used to characterize streamflows at gaged sites and to help predict streamflows at ungaged sites. Five computer programs were developed for obtaining and analyzing streamflow from the National Water Information System (NWISWeb). The programs were developed as part of a study by the U.S. Geological Survey, in cooperation with the Federal Highway Administration, to develop a stochastic empirical loading and dilution model. The programs were developed because reliable, efficient, and repeatable methods are needed to access and process streamflow information and data. The first program is designed to facilitate the downloading and reformatting of NWISWeb streamflow data. The second program is designed to facilitate graphical analysis of streamflow data. The third program is designed to facilitate streamflow-record extension and augmentation to help develop long-term statistical estimates for sites with limited data. The fourth program is designed to facilitate statistical analysis of streamflow data. The fifth program is a preprocessor to create batch input files for the U.S. Environmental Protection Agency DFLOW3 program for calculating low-flow statistics. These computer programs were developed to facilitate the analysis of daily mean streamflow data for planning-level water-quality analyses but also are useful for many other applications pertaining to streamflow data and statistics. These programs and the associated documentation are included on the CD-ROM accompanying this report. This report and the appendixes on the
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Symmetrized Nearest Neighbor Regression Estimates.
1987-12-01
TELEPHONE NUMBER 22C. OFFICE SYMBO0L (Inetude A me. Code) Major Brian Woodruff 1(202) 767-5026 1 Dr -’ 00 PORN 147,303- APR EDI1TION OF I JAN 73 IS...in tenth of a pence) in 1973. The data come from the Family Ex- penditure Survey, Annual Base Tapes 1968-198S, Department of Employment, Statistics...Statistics, 13, 1465- 1481. Hildenbrand, K. and Hildenbrand, W. (1986). On the mean income effect: a data analysis of the U.K. family expenditure
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NASA Astrophysics Data System (ADS)
Choquet, Élodie; Pueyo, Laurent; Soummer, Rémi; Perrin, Marshall D.; Hagan, J. Brendan; Gofas-Salas, Elena; Rajan, Abhijith; Aguilar, Jonathan
2015-09-01
The ALICE program, for Archival Legacy Investigation of Circumstellar Environment, is currently conducting a virtual survey of about 400 stars, by re-analyzing the HST-NICMOS coronagraphic archive with advanced post-processing techniques. We present here the strategy that we adopted to identify detections and potential candidates for follow-up observations, and we give a preliminary overview of our detections. We present a statistical analysis conducted to evaluate the confidence level on these detection and the completeness of our candidate search.
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77 FR 17460 - Proposed Collection; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2012-03-26
..., Associated Form, and OMB Control Number: The 2012 Post- Election Survey of State and Local Election Officials; OMB Control Number 0704-0125. Needs and Uses: The information collection requirement is necessary to.... 1973ff]). UOCAVA requires a statistical analysis report to the President and Congress on the...
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Tsuboi, Satoshi; Uehara, Ritei; Oguma, Taeko; Kojo, Takao; Enkh-Oyun, Tsogzolbaatar; Kotani, Kazuhiko; Aoyama, Yasuko; Okayama, Akira; Hashimoto, Shuji; Yamagata, Zentaro; Ohashi, Yasuo; Katanoda, Kota; Nakamura, Yosikazu; Sobue, Tomotaka
2014-01-01
Generalizable data on current satisfaction levels are required to establish a scientific basis for the political advancement of measures to improve satisfaction with hospital care among patients with diabetes. The present study made secondary use of existing official statistics in order to demonstrate the range of satisfaction levels with hospital care among diabetic outpatients and to closely examine related factors. Data sets that consolidated the Patient Survey, the Survey of Medical Care Institutions, and the Patient Behavior Survey (all from 2008) were created. Shared medical institution survey reference numbers were used to consolidate the data from the Patient Survey and the Survey of Medical Care Institutions, and in addition, sex and date of birth were used to consolidate the Patient Behavior Survey data. The range of satisfaction levels with hospital care among diabetic outpatients was investigated along with any relationship with the following potentially related factors: visitation status (first or repeat examination); waiting time until examination; examination duration; care-seeking status (any use of other medical facilities, etc.); diabetic complications; other complications; coverage under the Public Assistance Act; smoking cessation outpatient services; hospitals that specialized in treating diabetes (metabolic medicine); medical care on Saturday, Sunday, and public holidays; and provision of health checkups. Overall, 62.3% of diabetic outpatients were either fairly or extremely satisfied with their hospital care, whereas 5.6% expressed dissatisfaction. Satisfaction levels with hospital care were found to be significantly related to visitation status, waiting time until examination, examination duration, care-seeking status, and Saturday medical care. Multivariate analysis with the factors demonstrated to be significantly related to satisfaction revealed significant relationships between high satisfaction levels and repeat examinations, short waiting times, no use of any other medical facilities, and long examinations. Consolidating official statistics from multiple sources indicated the range of satisfaction levels with hospital care among diabetic outpatients and facilitated the clarification of factors affecting satisfaction. Reducing waiting times and ensuring sufficient time spent on examinations are important for increasing satisfaction levels with hospital care among patients with diabetes. It is hoped that official statistics can be further applied to many future public health policy studies.
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NASA Astrophysics Data System (ADS)
Brown, Linda Lou
Federal educational policy, No Child Left Behind Act of 2001, focused attention on America's education with conspicuous results. One aspect, highly qualified classroom teacher and principal (HQ), was taxing since states established individual accountability structures. The HQ impact and use of data-informed decision-making (DIDM) for Texas elementary science education monitoring by campus administrators, Campus Instruction Leader (CILs), provides crucial relationships to 5th grade students' learning and achievement. Forty years research determined improved student results when sustained, supported, and focused professional development (PD) for teachers is available. Using mixed methods research, this study applied quantitative and qualitative analysis from two, electronic, on-line surveys: Texas Elementary, Intermediate or Middle School Teacher Survey(c) and the Texas Elementary Campus Administrator Survey(c) with results from 22.3% Texas school districts representing 487 elementary campuses surveyed. Participants selected in random, stratified sampling of 5th grade teachers who attended local Texas Regional Collaboratives science professional development (PD) programs between 2003-2008. Survey information compared statistically to campus-level average passing rate scores on the 5th grade science TAKS using Statistical Process Software (SPSS). Written comments from both surveys analyzed with Qualitative Survey Research (NVivo) software. Due to the level of uncertainty of variables within a large statewide study, Mauchly's Test of Sphericity statistical test used to validate repeated measures factor ANOVAs. Although few individual results were statistically significant, when jointly analyzed, striking constructs were revealed regarding the impact of HQ policy applications and elementary CILs use of data-informed decisions on improving 5th grade students' achievement and teachers' PD learning science content. Some constructs included the use of data-warehouse programs; teachers' applications of DIDM to modify lessons for differentiated science instruction, the numbers of years' teachers attended science PD, and teachers' influence on CILs staffing decisions. Yet CILs reported 14% of Texas elementary campuses had limited or no science education programs due to federal policy requirement for reading and mathematics. Three hypothesis components were supported and accepted from research data resulted in two models addressing elementary science, science education PD, and CILs impact for federal policy applications.
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ERIC Educational Resources Information Center
Nolan, Meaghan M.; Beran, Tanya; Hecker, Kent G.
2012-01-01
Students with positive attitudes toward statistics are likely to show strong academic performance in statistics courses. Multiple surveys measuring students' attitudes toward statistics exist; however, a comparison of the validity and reliability of interpretations based on their scores is needed. A systematic review of relevant electronic…
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Kumarage, Samantha; Fernando, Rahal; Gunasekara, Lanka
2017-02-01
Knowledge of transfusion medicine is the key element of better transfusion practices. This deficit observed at the blood bank end on daily basis exposing the patients for redundant risk. We assessed the knowledge of transfusion medicine among post intern doctors. To assess the knowledge of transfusion medicine among post intern doctors in working in our hospital. Self administrated questionnaire was used. 45 questions of transfusion medicine included in the questioner. A total 57 post internship doctors participated in the survey. Statistical analysis was done using SPSS. In overall survey average score was 41.45%. Lowest score 19.8% was for the area of lab result interpretation. Highest score 56.63% obtained for the administration of blood component. Differences among the medical officers of various specialties were not statistically significant. Transfusion medicine knowledge among post internship doctors in our hospital need to be upgraded. © American Society for Clinical Pathology, 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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Influence of the carrying vehicle in the aerospatial survey of natural radioactivity
NASA Technical Reports Server (NTRS)
Dejesusparada, N. (Principal Investigator); Martin, I. M.
1981-01-01
The importance of the choice of the carrying vehicle in aerial surveys of natural radioactivity, particularly in the location of uraniferous regions, is discussed. The results of observations depend on the exposure time, that is, the velocity and altitude the carrying vehicle can attain. Overflights of the same region using identical instrumentation but in two different types of aircraft were performed. A detailed statistical analysis of the measurements obtained during these flights demonstrates the precision of localization achievable by this method.
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Barber, Julie A; Thompson, Simon G
1998-01-01
Objective To review critically the statistical methods used for health economic evaluations in randomised controlled trials where an estimate of cost is available for each patient in the study. Design Survey of published randomised trials including an economic evaluation with cost values suitable for statistical analysis; 45 such trials published in 1995 were identified from Medline. Main outcome measures The use of statistical methods for cost data was assessed in terms of the descriptive statistics reported, use of statistical inference, and whether the reported conclusions were justified. Results Although all 45 trials reviewed apparently had cost data for each patient, only 9 (20%) reported adequate measures of variability for these data and only 25 (56%) gave results of statistical tests or a measure of precision for the comparison of costs between the randomised groups. Only 16 (36%) of the articles gave conclusions which were justified on the basis of results presented in the paper. No paper reported sample size calculations for costs. Conclusions The analysis and interpretation of cost data from published trials reveal a lack of statistical awareness. Strong and potentially misleading conclusions about the relative costs of alternative therapies have often been reported in the absence of supporting statistical evidence. Improvements in the analysis and reporting of health economic assessments are urgently required. Health economic guidelines need to be revised to incorporate more detailed statistical advice. Key messagesHealth economic evaluations required for important healthcare policy decisions are often carried out in randomised controlled trialsA review of such published economic evaluations assessed whether statistical methods for cost outcomes have been appropriately used and interpretedFew publications presented adequate descriptive information for costs or performed appropriate statistical analysesIn at least two thirds of the papers, the main conclusions regarding costs were not justifiedThe analysis and reporting of health economic assessments within randomised controlled trials urgently need improving PMID:9794854
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Knowledge and utilization of computer-software for statistics among Nigerian dentists.
Chukwuneke, F N; Anyanechi, C E; Obiakor, A O; Amobi, O; Onyejiaka, N; Alamba, I
2013-01-01
The use of computer soft ware for generation of statistic analysis has transformed health information and data to simplest form in the areas of access, storage, retrieval and analysis in the field of research. This survey therefore was carried out to assess the level of knowledge and utilization of computer software for statistical analysis among dental researchers in eastern Nigeria. Questionnaires on the use of computer software for statistical analysis were randomly distributed to 65 practicing dental surgeons of above 5 years experience in the tertiary academic hospitals in eastern Nigeria. The focus was on: years of clinical experience; research work experience; knowledge and application of computer generated software for data processing and stastistical analysis. Sixty-two (62/65; 95.4%) of these questionnaires were returned anonymously, which were used in our data analysis. Twenty-nine (29/62; 46.8%) respondents fall within those with 5-10 years of clinical experience out of which none has completed the specialist training programme. Practitioners with above 10 years clinical experiences were 33 (33/62; 53.2%) out of which 15 (15/33; 45.5%) are specialists representing 24.2% (15/62) of the total number of respondents. All the 15 specialists are actively involved in research activities and only five (5/15; 33.3%) can utilize software statistical analysis unaided. This study has i dentified poor utilization of computer software for statistic analysis among dental researchers in eastern Nigeria. This is strongly associated with lack of exposure on the use of these software early enough especially during the undergraduate training. This call for introduction of computer training programme in dental curriculum to enable practitioners develops the attitude of using computer software for their research.
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Medical facility statistics in Japan
Hamajima, Nobuyuki; Sugimoto, Takuya; Hasebe, Ryo; Myat Cho, Su; Khaing, Moe; Kariya, Tetsuyoshi; Mon Saw, Yu; Yamamoto, Eiko
2017-01-01
ABSTRACT Medical facility statistics provide essential information to policymakers, administrators, academics, and practitioners in the field of health services. In Japan, the Health Statistics Office of the Director-General for Statistics and Information Policy at the Ministry of Health, Labour and Welfare is generating these statistics. Although the statistics are widely available in both Japanese and English, the methodology described in the technical reports are primarily in Japanese, and are not fully described in English. This article aimed to describe these processes for readers in the English-speaking world. The Health Statistics Office routinely conduct two surveys called the Hospital Report and the Survey of Medical Institutions. The subjects of the former are all the hospitals and clinics with long-term care beds in Japan. It comprises a Patient Questionnaire focusing on the numbers of inpatients, admissions, discharges, and outpatients in one month, and an Employee Questionnaire, which asks about the number of employees as of October 1. The Survey of Medical Institutions consists of the Dynamic Survey, which focuses on the opening and closing of facilities every month, and the Static Survey, which focuses on staff, facilities, and services as of October 1, as well as the number of inpatients as of September 30 and the total number of outpatients during September. All hospitals, clinics, and dental clinics are requested to submit the Static Survey questionnaire every three years. These surveys are useful tools for collecting essential information, as well as providing occasions to implicitly inform facilities of the movements of government policy. PMID:29238108
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Medical facility statistics in Japan.
Hamajima, Nobuyuki; Sugimoto, Takuya; Hasebe, Ryo; Myat Cho, Su; Khaing, Moe; Kariya, Tetsuyoshi; Mon Saw, Yu; Yamamoto, Eiko
2017-11-01
Medical facility statistics provide essential information to policymakers, administrators, academics, and practitioners in the field of health services. In Japan, the Health Statistics Office of the Director-General for Statistics and Information Policy at the Ministry of Health, Labour and Welfare is generating these statistics. Although the statistics are widely available in both Japanese and English, the methodology described in the technical reports are primarily in Japanese, and are not fully described in English. This article aimed to describe these processes for readers in the English-speaking world. The Health Statistics Office routinely conduct two surveys called the Hospital Report and the Survey of Medical Institutions. The subjects of the former are all the hospitals and clinics with long-term care beds in Japan. It comprises a Patient Questionnaire focusing on the numbers of inpatients, admissions, discharges, and outpatients in one month, and an Employee Questionnaire, which asks about the number of employees as of October 1. The Survey of Medical Institutions consists of the Dynamic Survey, which focuses on the opening and closing of facilities every month, and the Static Survey, which focuses on staff, facilities, and services as of October 1, as well as the number of inpatients as of September 30 and the total number of outpatients during September. All hospitals, clinics, and dental clinics are requested to submit the Static Survey questionnaire every three years. These surveys are useful tools for collecting essential information, as well as providing occasions to implicitly inform facilities of the movements of government policy.
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Swetha, Jonnalagadda Laxmi; Arpita, Ramisetti; Srikanth, Chintalapani; Nutalapati, Rajasekhar
2014-01-01
Background: Biostatistics is an integral part of research protocols. In any field of inquiry or investigation, data obtained is subsequently classified, analyzed and tested for accuracy by statistical methods. Statistical analysis of collected data, thus, forms the basis for all evidence-based conclusions. Aim: The aim of this study is to evaluate the cognition, comprehension and application of biostatistics in research among post graduate students in Periodontics, in India. Materials and Methods: A total of 391 post graduate students registered for a master's course in periodontics at various dental colleges across India were included in the survey. Data regarding the level of knowledge, understanding and its application in design and conduct of the research protocol was collected using a dichotomous questionnaire. A descriptive statistics was used for data analysis. Results: Nearly 79.2% students were aware of the importance of biostatistics in research, 55-65% were familiar with MS-EXCEL spreadsheet for graphical representation of data and with the statistical softwares available on the internet, 26.0% had biostatistics as mandatory subject in their curriculum, 9.5% tried to perform statistical analysis on their own while 3.0% were successful in performing statistical analysis of their studies on their own. Conclusion: Biostatistics should play a central role in planning, conduct, interim analysis, final analysis and reporting of periodontal research especially by the postgraduate students. Indian postgraduate students in periodontics are aware of the importance of biostatistics in research but the level of understanding and application is still basic and needs to be addressed. PMID:24744547
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Mathematics and Statistics Research Department progress report, period ending June 30, 1982
DOE Office of Scientific and Technical Information (OSTI.GOV)
Denson, M.V.; Funderlic, R.E.; Gosslee, D.G.
1982-08-01
This report is the twenty-fifth in the series of progress reports of the Mathematics and Statistics Research Department of the Computer Sciences Division, Union Carbide Corporation Nuclear Division (UCC-ND). Part A records research progress in analysis of large data sets, biometrics research, computational statistics, materials science applications, moving boundary problems, numerical linear algebra, and risk analysis. Collaboration and consulting with others throughout the UCC-ND complex are recorded in Part B. Included are sections on biology, chemistry, energy, engineering, environmental sciences, health and safety, materials science, safeguards, surveys, and the waste storage program. Part C summarizes the various educational activities inmore » which the staff was engaged. Part D lists the presentations of research results, and Part E records the staff's other professional activities during the report period.« less
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Social inequalities in alcohol consumption in the Czech Republic: a multilevel analysis.
Dzúrová, Dagmara; Spilková, Jana; Pikhart, Hynek
2010-05-01
Czech Republic traditionally ranks among the countries with the highest alcohol, consumption. This paper examines both risk and protective factors for frequent of alcohol, consumption in the Czech population using multilevel analysis. Risk factors were measured at the, individual level and at the area level. The individual-level data were obtained from a survey for a, sample of 3526 respondents aged 18-64 years. The area-level data were obtained from the Czech, Statistical Office. The group most inclinable to risk alcohol consumption and binge drinking are mainly, men, who live as single, with low education and also unemployed. Only the variable for divorce rate, showed statistical significance at both levels, thus the individual and the aggregated one. No cross-level interactions were found to be statistically significant. Copyright 2010 Elsevier Ltd. All rights reserved.
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Hierarchical models and the analysis of bird survey information
Sauer, J.R.; Link, W.A.
2003-01-01
Management of birds often requires analysis of collections of estimates. We describe a hierarchical modeling approach to the analysis of these data, in which parameters associated with the individual species estimates are treated as random variables, and probability statements are made about the species parameters conditioned on the data. A Markov-Chain Monte Carlo (MCMC) procedure is used to fit the hierarchical model. This approach is computer intensive, and is based upon simulation. MCMC allows for estimation both of parameters and of derived statistics. To illustrate the application of this method, we use the case in which we are interested in attributes of a collection of estimates of population change. Using data for 28 species of grassland-breeding birds from the North American Breeding Bird Survey, we estimate the number of species with increasing populations, provide precision-adjusted rankings of species trends, and describe a measure of population stability as the probability that the trend for a species is within a certain interval. Hierarchical models can be applied to a variety of bird survey applications, and we are investigating their use in estimation of population change from survey data.
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2016-03-17
RESERVE COMPONENT MEMBERS: STATISTICAL METHODOLOGY REPORT Defense Research, Surveys, and Statistics Center (RSSC) Defense Manpower Data Center...Defense Manpower Data Center (DMDC) is indebted to numerous people for their assistance with the 2015 Workplace and Gender Relations Survey of Reserve...outcomes were modeled as a function of an extensive set of administrative variables available for both respondents and nonrespondents, resulting in six
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Schools and Labor Market Outcomes. EQW Working Papers WP33.
ERIC Educational Resources Information Center
Crawford, David L.; And Others
The relationship between school characteristics and labor market outcomes was examined through a literature review and an econometric analysis of the effects of various characteristics of the schooling experience on students' labor market performance after high school. Data from the National Center on Education Statistics' longitudinal survey of…
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Using Symbolic-Logic Matrices To Improve Confirmatory Factor Analysis Techniques.
ERIC Educational Resources Information Center
Creighton, Theodore B.; Coleman, Donald G.; Adams, R. C.
A continuing and vexing problem associated with survey instrument development is the creation of items, initially, that correlate favorably a posteriori with constructs being measured. This study tests the use of symbolic-logic matrices developed by D. G. Coleman (1979) in creating factorially "pure" statistically discrete constructs in…
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The Impact of Financial Sophistication on Adjustable Rate Mortgage Ownership
ERIC Educational Resources Information Center
Smith, Hyrum; Finke, Michael S.; Huston, Sandra J.
2011-01-01
The influence of a financial sophistication scale on adjustable-rate mortgage (ARM) borrowing is explored. Descriptive statistics and regression analysis using recent data from the Survey of Consumer Finances reveal that ARM borrowing is driven by both the least and most financially sophisticated households but for different reasons. Less…
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Using VITA Service Learning Experiences to Teach Hypothesis Testing and P-Value Analysis
ERIC Educational Resources Information Center
Drougas, Anne; Harrington, Steve
2011-01-01
This paper describes a hypothesis testing project designed to capture student interest and stimulate classroom interaction and communication. Using an online survey instrument, the authors collected student demographic information and data regarding university service learning experiences. Introductory statistics students performed a series of…
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The Myth and Reality of Aging in America.
ERIC Educational Resources Information Center
National Council on the Aging, Inc., Washington, DC.
To understand and document the image and the reality of old age and older Americans, the National Council on the Aging (NCOA) commissioned the major, in-depth survey which examined public attitudes and expectations and documented older Americans' views and personal experiences. Consisting of statistical tables, textual analysis, and subjective…
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(De)Motivation in Preparatory EFL Classrooms
ERIC Educational Resources Information Center
Vefali, Gülsen Musayeva; Ayan, Hatice Ç.
2015-01-01
This survey study aimed to explore EFL learners' (de)motivation in the preparatory classes at a tertiary institution in Northern Cyprus. It administered questionnaires to 105 preparatory learners and 30 language teachers. The statistical analysis revealed the Cronbach's alpha reliability coefficient of 0.88 for the Learners' version, and 0.89 for…
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Gender and Pupil Performance. Interchange 70.
ERIC Educational Resources Information Center
Tinklin, Teresa; Croxford, Linda; Ducklin, Alan; Frame, Barbara
This study examined factors that influence the relative academic attainment of males and females and how good performance by both genders can be achieved. The study involved a review of literature and policy documents, statistical analysis of official data, a questionnaire survey of local authorities, and case studies of six secondary schools in…
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Digital Learning Compass: Distance Education State Almanac 2017. Delaware
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Delaware. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Kansas
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Kansas. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Minnesota
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Minnesota. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Utah
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Utah. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Connecticut
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Connecticut. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Wyoming
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Wyoming. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Montana
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Montana. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Iowa
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Iowa. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Alabama
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Alabama. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Nevada
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Nevada. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Mississippi
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Mississippi. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Kentucky
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Kentucky. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Ohio
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Ohio. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Oklahoma
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Oklahoma. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Texas
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Texas. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Vermont
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Vermont. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Colorado
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Colorado. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Arizona
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Arizona . The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Missouri
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Missouri. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Idaho
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Idaho. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Massachusetts
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Massachusetts. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Tennessee
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Tennessee. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Virginia
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Virginia. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Indiana
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Indiana. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Alaska
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Alaska. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Louisiana
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Louisiana. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Nebraska
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Nebraska. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Maine
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Maine. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Wisconsin
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Wisconsin. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Michigan
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Michigan. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Arkansas
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Arkansas . The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Illinois
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Illinois. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Florida
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Florida. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Maryland
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Maryland. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Oregon
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Oregon. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Washington
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Washington. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Hawaii
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Hawaii. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. California
ERIC Educational Resources Information Center
Seaman, Julia A.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of California. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Georgia
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Georgia. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Pennsylvania
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Pennsylvania. The sample for this analysis is comprised of all active, degree-granting…
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Child Mortality in a Developing Country: A Statistical Analysis
ERIC Educational Resources Information Center
Uddin, Md. Jamal; Hossain, Md. Zakir; Ullah, Mohammad Ohid
2009-01-01
This study uses data from the "Bangladesh Demographic and Health Survey (BDHS] 1999-2000" to investigate the predictors of child (age 1-4 years) mortality in a developing country like Bangladesh. The cross-tabulation and multiple logistic regression techniques have been used to estimate the predictors of child mortality. The…
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The use of existing value of statistical life (VSL) estimates in benefit-cost analysis relates to relatively short changes in life expectancy. The authors' strategy for addressing this question is to briefly survey the existing economics literature.
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Faculty Perceptions of Transition Personnel Preparation in Saudi Arabia
ERIC Educational Resources Information Center
Alhossan, Bandar A.; Trainor, Audrey A.
2017-01-01
This study investigated to what extent faculty members include and value transition curricula in special education preparation programs in Saudi Arabia. A web-based survey was conducted and sent to special education professors across 20 universities. Descriptive statistics and a t-test analysis generated three main findings: (a) Institutions…
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Development and Testing of a Revised Cooking Matters for Adults Survey.
Pinard, Courtney A; Uvena, Laura M; Quam, Julia B; Smith, Teresa M; Yaroch, Amy L
2015-11-01
The purpose of this study was to: (1) develop and psychometrically test a survey designed to assess Cooking Matters for Adults (CMA); and (2) assess changes in outcomes from pre- to post-pilot testing in English-speaking CMA classes to support the construct validity of the survey. Cognitive interviewing participants were drawn from a low-income convenience sample in Omaha, Nebraska (N = 21). The survey included items to assess dietary patterns and choices, sociodemographics, and psychosocial correlates. Analyses were conducted with SPSS and included descriptive statistics, exploratory factor analysis, Cronbach's alpha, and paired sample t-tests. Cognitive interviewing resulted in changes to survey layout and wording. Factor analysis revealed 4 actors with Cronbach alphas supporting internal consistency. Between pretest and posttest, fruit intake increased (p < .05) and non-fried potatoes decreased (p < .05). Selection of healthy dietary options (low-fat dairy and milk, sodium, lean meats; p's < .05), healthy food preparation (p < .001), and cooking confidence (p < .001) increased and perceived barriers to cooking (p < .01) decreased. The CMA Survey includes psychometrically sound items and positive self-reported changes. This survey can be a valuable resource for other similar programs.
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ERIC Educational Resources Information Center
Lesser, Lawrence M.; Wagler, Amy E.; Esquinca, Alberto; Valenzuela, M. Guadalupe
2013-01-01
The framework of linguistic register and case study research on Spanish-speaking English language learners (ELLs) learning statistics informed the construction of a quantitative instrument, the Communication, Language, And Statistics Survey (CLASS). CLASS aims to assess whether ELLs and non-ELLs approach the learning of statistics differently with…
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ERIC Educational Resources Information Center
Wagler, Amy E.; Lesser, Lawrence M.
2018-01-01
The interaction between language and the learning of statistical concepts has been receiving increased attention. The Communication, Language, And Statistics Survey (CLASS) was developed in response to the need to focus on dynamics of language in light of the culturally and linguistically diverse environments of introductory statistics classrooms.…
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Statistical imprints of CMB B -type polarization leakage in an incomplete sky survey analysis
DOE Office of Scientific and Technical Information (OSTI.GOV)
Santos, Larissa; Wang, Kai; Hu, Yangrui
2017-01-01
One of the main goals of modern cosmology is to search for primordial gravitational waves by looking on their imprints in the B -type polarization in the cosmic microwave background radiation. However, this signal is contaminated by various sources, including cosmic weak lensing, foreground radiations, instrumental noises, as well as the E -to- B leakage caused by the partial sky surveys, which should be well understood to avoid the misinterpretation of the observed data. In this paper, we adopt the E / B decomposition method suggested by Smith in 2006, and study the imprints of E -to- B leakage residualsmore » in the constructed B -type polarization maps, B( n-circumflex ), by employing various statistical tools. We find that the effects of E -to- B leakage are negligible for the B-mode power spectrum, as well as the skewness and kurtosis analyses of B-maps. However, if employing the morphological statistical tools, including Minkowski functionals and/or Betti numbers, we find the effect of leakage can be detected at very high confidence level, which shows that in the morphological analysis, the leakage can play a significant role as a contaminant for measuring the primordial B -mode signal and must be taken into account for a correct explanation of the data.« less
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Zipkin, Elise F.; Kinlan, Brian P.; Sussman, Allison; Rypkema, Diana; Wimer, Mark; O'Connell, Allan F.
2015-01-01
Estimating patterns of habitat use is challenging for marine avian species because seabirds tend to aggregate in large groups and it can be difficult to locate both individuals and groups in vast marine environments. We developed an approach to estimate the statistical power of discrete survey events to identify species-specific hotspots and coldspots of long-term seabird abundance in marine environments. We illustrate our approach using historical seabird data from survey transects in the U.S. Atlantic Ocean Outer Continental Shelf (OCS), an area that has been divided into “lease blocks” for proposed offshore wind energy development. For our power analysis, we examined whether discrete lease blocks within the region could be defined as hotspots (3 × mean abundance in the OCS) or coldspots (1/3 ×) for individual species within a given season. For each of 74 species/season combinations, we determined which of eight candidate statistical distributions (ranging in their degree of skewedness) best fit the count data. We then used the selected distribution and estimates of regional prevalence to calculate and map statistical power to detect hotspots and coldspots, and estimate the p-value from Monte Carlo significance tests that specific lease blocks are in fact hotspots or coldspots relative to regional average abundance. The power to detect species-specific hotspots was higher than that of coldspots for most species because species-specific prevalence was relatively low (mean: 0.111; SD: 0.110). The number of surveys required for adequate power (> 0.6) was large for most species (tens to hundreds) using this hotspot definition. Regulators may need to accept higher proportional effect sizes, combine species into groups, and/or broaden the spatial scale by combining lease blocks in order to determine optimal placement of wind farms. Our power analysis approach provides a general framework for both retrospective analyses and future avian survey design and is applicable to a broad range of research and conservation problems.
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Hierarchical model analysis of the Atlantic Flyway Breeding Waterfowl Survey
Sauer, John R.; Zimmerman, Guthrie S.; Klimstra, Jon D.; Link, William A.
2014-01-01
We used log-linear hierarchical models to analyze data from the Atlantic Flyway Breeding Waterfowl Survey. The survey has been conducted by state biologists each year since 1989 in the northeastern United States from Virginia north to New Hampshire and Vermont. Although yearly population estimates from the survey are used by the United States Fish and Wildlife Service for estimating regional waterfowl population status for mallards (Anas platyrhynchos), black ducks (Anas rubripes), wood ducks (Aix sponsa), and Canada geese (Branta canadensis), they are not routinely adjusted to control for time of day effects and other survey design issues. The hierarchical model analysis permits estimation of year effects and population change while accommodating the repeated sampling of plots and controlling for time of day effects in counting. We compared population estimates from the current stratified random sample analysis to population estimates from hierarchical models with alternative model structures that describe year to year changes as random year effects, a trend with random year effects, or year effects modeled as 1-year differences. Patterns of population change from the hierarchical model results generally were similar to the patterns described by stratified random sample estimates, but significant visibility differences occurred between twilight to midday counts in all species. Controlling for the effects of time of day resulted in larger population estimates for all species in the hierarchical model analysis relative to the stratified random sample analysis. The hierarchical models also provided a convenient means of estimating population trend as derived statistics from the analysis. We detected significant declines in mallard and American black ducks and significant increases in wood ducks and Canada geese, a trend that had not been significant for 3 of these 4 species in the prior analysis. We recommend using hierarchical models for analysis of the Atlantic Flyway Breeding Waterfowl Survey.
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ERIC Educational Resources Information Center
National Center for Education Statistics (ED), Washington, DC.
The papers were presented at the Social Statistics Section, the Government Statistics Section, and the Section on Survey Research Methods. The following papers are included in the Social Statistics Section and Government Statistics Section, "Overcoming the Bureaucratic Paradigm: Memorial Session in Honor of Roger Herriot": "1995…
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Comfort, Alison; Leegwater, Anthony; Nakhimovsky, Sharon; Kansembe, Henry; Hamainza, Busiku; Bwalya, Benson; Alilio, Martin; Johns, Ben; Olsho, Lauren
2017-01-04
Country-level evidence on the impact of malaria control on micro-economic outcomes is vital for mobilizing domestic and donor resources for malaria control. Using routinely available survey data could facilitate this investigation in a cost-efficient way. The authors used Malaria Indicator Surveys (MIS) and Living Conditions Monitoring Survey (LCMS) data from 2006 to 2010 for all 72 districts in Zambia to relate malaria control scale-up with household food spending (proxy for household well-being), educational attainment and agricultural production. The authors used two quasi-experimental designs: (1) a generalized propensity score for a continuous treatment variable (defined as coverage from owning insecticide-treated bed nets and/or receipt of indoor residual spraying); and, (2) a district fixed effects model to assess changes in the outcome relative to changes in treatment pre-post scale-up. The unit of analysis was at district level. The authors also conducted simulations post-analysis to assess statistical power. Micro-economic outcomes increased (33% increase in food spending) concurrently with malaria control coverage (62% increase) from 2006 to 2010. Despite using data from all 72 districts, both analytic methods yielded wide confidence intervals that do not conclusively link outcomes and malaria control coverage increases. The authors cannot rule out positive, null or negative effects. The upper bound estimates of the results show that if malaria control coverage increases from 60 to 70%, food spending could increase up to 14%, maize production could increase up to 57%, and years of schooling could increase up to 0.5 years. Simulations indicated that the generalized propensity score model did not have good statistical power. While it is technically possible to use routinely available survey data to relate malaria control scale-up and micro-economic outcomes, it is not clear from this analysis that meaningful results can be obtained when survey data are highly aggregated. Researchers in similar settings should assess the feasibility of disaggregating existing survey data. Additionally, large surveys, such as LCMS and MIS, could incorporate data on both malaria coverage and household expenditures, respectively.
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The Chandra Xbootes Survey - IV: Mid-Infrared and Submillimeter Counterparts
NASA Astrophysics Data System (ADS)
Brown, Arianna; Mitchell-Wynne, Ketron; Cooray, Asantha R.; Nayyeri, Hooshang
2016-06-01
In this work, we use a Bayesian technique to identify mid-IR and submillimeter counterparts for 3,213 X-ray point sources detected in the Chandra XBoötes Survey so as to characterize the relationship between black hole activity and star formation in the XBoötes region. The Chandra XBoötes Survey is a 5-ks X-ray survey of the 9.3 square degree Boötes Field of the NOAO Deep Wide-Field Survey (NDWFS), a survey imaged from the optical to the near-IR. We use a likelihood ratio analysis on Spitzer-IRAC data taken from The Spitzer Deep, Wide-Field Survey (SDWFS) to determine mid-IR counterparts, and a similar method on Herschel-SPIRE sources detected at 250µm from The Herschel Multi-tiered Extragalactic Survey to determine the submillimeter counterparts. The likelihood ratio analysis (LRA) provides the probability that a(n) IRAC or SPIRE point source is the true counterpart to a Chandra source. The analysis is comprised of three parts: the normalized magnitude distributions of counterparts and background sources, and the radial probability distribution of the separation distance between the IRAC or SPIRE source and the Chandra source. Many Chandra sources have multiple prospective counterparts in each band, so additional analysis is performed to determine the identification reliability of the candidates. Identification reliability values lie between 0 and 1, and sources with identification reliability values ≥0.8 are chosen to be the true counterparts. With these results, we will consider the statistical implications of the sample's redshifts, mid-IR and submillimeter luminosities, and star formation rates.
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Preliminary Survey of Icing Conditions Measured During Routine Transcontinental Airline Operation
NASA Technical Reports Server (NTRS)
Perkins, Porter J.
1952-01-01
Icing data collected on routine operations by four DC-4-type aircraft equipped with NACA pressure-type icing-rate meters are presented as preliminary information obtained from a statistical icing data program sponsored by the NACA with the cooperation of many airline companies and the United States Air Force. The program is continuing on a much greater scale to provide large quantities of data from many air routes in the United States and overseas. Areas not covered by established air routes are also being included in the survey. The four aircraft which collected the data presented in this report were operated by United Air Lines over a transcontinental route from January through May, 1951. An analysis of the pressure-type icing-rate meter was satisfactory for collecting statistical data during routine operations. Data obtained on routine flight icing encounters from.these four instrumented aircraft, although insufficient for a conclusive statistical analysis, provide a greater quantity and considerably more realistic information than that obtained from random research flights. A summary of statistical data will be published when the information obtained daring the 1951-52 icing season and that to be obtained during the 1952-53 season can be analyzed and assembled. The 1951-52 data already analyzed indicate that the quantity, quality, and range of icing information being provided by this expanded program should afford a sound basis for ice-protection-system design by defining the important meteorological parameters of the icing cloud.
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2016 Service Academy Gender Relations Survey: Overview Report
2017-02-01
environment within the Academies. This Executive Summary will provide a summary of the methodology used and the top line results from the survey.1 Summary...discussion of the measurement constructs, a description of the survey methodology , and detailed presentation of the results. Each report section...are determined statistically significant at an alpha (α) level of .05.6 Survey Methodology Statistical Design OPA conducts cross-Service surveys that
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Tabernero, Patricia; Mayxay, Mayfong; Culzoni, María Julia; Dwivedi, Prabha; Swamidoss, Isabel; Allan, Elizabeth Louise; Khanthavong, Maniphone; Phonlavong, Chindaphone; Vilayhong, Chantala; Yeuchaixiong, Sengchanh; Sichanh, Chanvilay; Sengaloundeth, Sivong; Kaur, Harparkash; Fernández, Facundo M.; Green, Michael D.; Newton, Paul N.
2015-01-01
In 2003, a stratified random sample survey was conducted in the Lao People's Democratic Republic (Laos) to study the availability and quality of antimalarials in the private sector. In 2012, this survey was repeated to allow a statistically valid analysis of change through time. The counterfeit detection device 3 (CD-3) was used to assess packaging quality in the field and HPLC and mass spectroscopy analysis chemical analysis performed. The availability of oral artesunate monotherapies had significantly decreased from 22.9% (22) of 96 outlets in southern Laos in 2003 to 4.8% (7) of 144 outlets in 2012 (P < 0.0001). All the samples collected in the 2012 survey contained the correct active pharmaceutical ingredients (APIs) in contrast to the 21 (84%) falsified artesunate samples found in the 2003 survey. Although none of the medicines found in 2012 survey had evidence for falsification, 25.4% (37) of the samples were outside the 90–110% pharmacopeial limits of the label claim, suggesting that they were substandard or degraded. Results obtained from this survey show that patients are still exposed to poorly manufactured drugs or to ineffective medicines such as chloroquine. The quality of artemisinin-based combination therapies (ACTs) used in Laos needs to be monitored, since falsified ACTs would have devastating consequences in public health. PMID:25897062
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Federal Register 2010, 2011, 2012, 2013, 2014
2011-05-17
... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration Proposed Information Collection; Comment Request; Marine Recreational Fisheries Statistics Survey AGENCY: National Oceanic and... Andrews, NOAA, National Marine Fisheries Service, Fisheries Statistics Division, Phone: (301) 713-2328 or...
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Estimation of usual occasion-based individual drinking patterns using diary survey data.
Hill-McManus, Daniel; Angus, Colin; Meng, Yang; Holmes, John; Brennan, Alan; Sylvia Meier, Petra
2014-01-01
In order to successfully address excessive alcohol consumption it is essential to have a means of measuring the drinking patterns of a nation. Owing to the multi-dimensional nature of drinking patterns, usual survey methods have their limitations. The aim of this study was to make use of extremely detailed diary survey data to demonstrate a method of combining different survey measures of drinking in order to reduce these limitations. Data for 1724 respondents of the 2000/01 National Diet and Nutrition Survey was used to obtain a drinking occasion dataset, by plotting the respondent's blood alcohol content over time. Drinking frequency, level and variation measures were chosen to characterise drinking behaviour and usual behaviour was estimated via statistical methods. Complex patterns in drinking behaviour were observed amongst population subgroups using the chosen consumption measures. The predicted drinking distribution combines diary data equivalent coverage with a more accurate proportion of non-drinkers. This statistical analysis provides a means of obtaining average consumption measures from diary data and thus reducing the main limitation of this type of data for many applications. We hope that this will facilitate the use of such data in a wide range of applications such as risk modelling, especially for acute harms, and burden of disease studies. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
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Ghosal, Kavita; Pandey, Naren; Bhattacharya, Swati Gupta
2015-01-01
Pollen grains released by plants are dispersed into the air and can become trapped in human nasal mucosa, causing immediate release of allergens triggering severe Type 1 hypersensitivity reactions in susceptible allergic patients. Recent epidemiologic data show that 11-12% of people suffer from this type of disorders in India. Hence, it is important to examine whether pollen grains have a role in dissipating respiratory problems, including allergy and astma, in a subtropical suburban city. Meteorological data were collected for a period of two years, together with aerobiological sampling with a Burkard sampler. A pollen calendar was prepared for the city. A health survey and the hospitalization rate of local people for the above problems were documented following statistical analysis between pollen counts and the data from the two above-mentioned sources. Skin Prick Test and Indirect ELISA were performer for the identification of allergenic pollen grains. Bio-monitoring results showed that a total of 36 species of pollen grains were located in the air of the study area, where their presence is controlled by many important meteorological parameters proved from SPSS statistical analysis and by their blooming periods. Statistical analysis showed that there is a high positive correlation of monthly pollen counts with the data from the survey and hospital. Biochemical tests revealed the allergic nature of pollen grains of many local species found in the sampler. Bio-monitoring, together with statistical and biochemical results, leave no doubt about the role of pollen as a bio-pollutant. General knowledge about pollen allergy and specific allergenic pollen grains of a particular locality could be a good step towards better health for the cosmopolitan suburban city.
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Comparative analysis of positive and negative attitudes toward statistics
NASA Astrophysics Data System (ADS)
Ghulami, Hassan Rahnaward; Ab Hamid, Mohd Rashid; Zakaria, Roslinazairimah
2015-02-01
Many statistics lecturers and statistics education researchers are interested to know the perception of their students' attitudes toward statistics during the statistics course. In statistics course, positive attitude toward statistics is a vital because it will be encourage students to get interested in the statistics course and in order to master the core content of the subject matters under study. Although, students who have negative attitudes toward statistics they will feel depressed especially in the given group assignment, at risk for failure, are often highly emotional, and could not move forward. Therefore, this study investigates the students' attitude towards learning statistics. Six latent constructs have been the measurement of students' attitudes toward learning statistic such as affect, cognitive competence, value, difficulty, interest, and effort. The questionnaire was adopted and adapted from the reliable and validate instrument of Survey of Attitudes towards Statistics (SATS). This study is conducted among engineering undergraduate engineering students in the university Malaysia Pahang (UMP). The respondents consist of students who were taking the applied statistics course from different faculties. From the analysis, it is found that the questionnaire is acceptable and the relationships among the constructs has been proposed and investigated. In this case, students show full effort to master the statistics course, feel statistics course enjoyable, have confidence that they have intellectual capacity, and they have more positive attitudes then negative attitudes towards statistics learning. In conclusion in terms of affect, cognitive competence, value, interest and effort construct the positive attitude towards statistics was mostly exhibited. While negative attitudes mostly exhibited by difficulty construct.
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Miranda, A.L.
1990-11-01
The market survey covers the water and wastewater pollution control systems market in the Philippines. The analysis contains statistical and narrative information on projected market demand, end-users; receptivity of Philippine consumers to U.S. products; the competitive situation, and market access (tariffs, non-tariff barriers, standards, taxes, distribution channels). It also contains key contact information.
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ERIC Educational Resources Information Center
Pleis, J. R.; Ward, B. W.; Lucas, J. W.
2010-01-01
Objectives: This report presents health statistics from the 2009 National Health Interview Survey (NHIS) for the civilian noninstitutionalized adult population, classified by sex, age, race and ethnicity, education, family income, poverty status, health insurance coverage, marital status, and place and region of residence. Estimates are presented…
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ERIC Educational Resources Information Center
Horn, Marjorie C.; Mosher, William D.
1986-01-01
The National Survey of Family Growth is a periodic survey conducted by the National Center for Health Statistics, and designed to produce national estimates of statistics on fertility, family planning, and aspects of maternal and child health that are closely related to childbearing. This report presents statistics based on data collected in the…
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Sheu, Mei-Ling; Hu, Teh-Wei; Keeler, Theodore E; Ong, Michael; Sung, Hai-Yen
2004-08-01
The objective of this paper is to determine the price sensitivity of smokers in their consumption of cigarettes, using evidence from a major increase in California cigarette prices due to Proposition 10 and the Tobacco Settlement. The study sample consists of individual survey data from Behavioral Risk Factor Survey (BRFS) and price data from the Bureau of Labor Statistics between 1996 and 1999. A zero-inflated negative binomial (ZINB) regression model was applied for the statistical analysis. The statistical model showed that price did not have an effect on reducing the estimated prevalence of smoking. However, it indicated that among smokers the price elasticity was at the level of -0.46 and statistically significant. Since smoking prevalence is significantly lower than it was a decade ago, price increases are becoming less effective as an inducement for hard-core smokers to quit, although they may respond by decreasing consumption. For those who only smoke occasionally (many of them being young adults) price increases alone may not be an effective inducement to quit smoking. Additional underlying behavioral factors need to be identified so that more effective anti-smoking strategies can be developed.
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Getting the big picture in community science: methods that capture context.
Luke, Douglas A
2005-06-01
Community science has a rich tradition of using theories and research designs that are consistent with its core value of contextualism. However, a survey of empirical articles published in the American Journal of Community Psychology shows that community scientists utilize a narrow range of statistical tools that are not well suited to assess contextual data. Multilevel modeling, geographic information systems (GIS), social network analysis, and cluster analysis are recommended as useful tools to address contextual questions in community science. An argument for increased methodological consilience is presented, where community scientists are encouraged to adopt statistical methodology that is capable of modeling a greater proportion of the data than is typical with traditional methods.
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Topology Analysis of the Sloan Digital Sky Survey. I. Scale and Luminosity Dependence
NASA Astrophysics Data System (ADS)
Park, Changbom; Choi, Yun-Young; Vogeley, Michael S.; Gott, J. Richard, III; Kim, Juhan; Hikage, Chiaki; Matsubara, Takahiko; Park, Myeong-Gu; Suto, Yasushi; Weinberg, David H.; SDSS Collaboration
2005-11-01
We measure the topology of volume-limited galaxy samples selected from a parent sample of 314,050 galaxies in the Sloan Digital Sky Survey (SDSS), which is now complete enough to describe the fully three-dimensional topology and its dependence on galaxy properties. We compare the observed genus statistic G(νf) to predictions for a Gaussian random field and to the genus measured for mock surveys constructed from new large-volume simulations of the ΛCDM cosmology. In this analysis we carefully examine the dependence of the observed genus statistic on the Gaussian smoothing scale RG from 3.5 to 11 h-1 Mpc and on the luminosity of galaxies over the range -22.50
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Wall finish selection in hospital design: a survey of facility managers.
Lavy, Sarel; Dixit, Manish K
2012-01-01
This paper seeks to analyze healthcare facility managers' perceptions regarding the materials used for interior wall finishes and the criteria used to select them. It also examines differences in wall finish materials and the selection process in three major hospital spaces: emergency, surgery, and in-patient units. These findings are compared with healthcare designers' perceptions on similar issues, as currently documented in the literature. Hospital design and the materials used for hospital construction have a considerable effect on the environment and health of patients. A 2002 survey revealed which characteristics healthcare facility designers consider when selecting materials for healthcare facilities; however, no similar study has examined the views of facility managers on building finish selection. A 22-question survey questionnaire was distributed to 210 facility managers of metropolitan, for-profit hospitals in Texas; IRB approval was obtained. Respondents were asked to rank 10 interior wall finish materials and 11 selection criteria for wall finishes. Data from 48 complete questionnaires were analyzed using descriptive statistics and nonparametric statistical analysis methods. The study found no statistically significant differences in terms of wall finish materials or the characteristics for material selection in the three major spaces studied. It identified facility managers' four most-preferred wall finish materials and the five-most preferred characteristics, with a statistical confidence level of greater than 95%. The paper underscores the importance of incorporating all perspectives: facility designers and facility managers should work together toward achieving common organizational goals.
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Chae, Su Jin; Jeong, So Mi; Chung, Yoon-Sok
2017-09-01
This study is aimed at identifying the relationships between medical school students' academic burnout, empathy, and calling, and determining whether their calling has a mediating effect on the relationship between academic burnout and empathy. A mixed method study was conducted. One hundred twenty-seven medical students completed a survey. Scales measuring academic burnout, medical students' empathy, and calling were utilized. For statistical analysis, correlation analysis, descriptive statistics analysis, and hierarchical multiple regression analyses were conducted. For qualitative approach, eight medical students participated in a focus group interview. The study found that empathy has a statistically significant, negative correlation with academic burnout, while having a significant, positive correlation with calling. Sense of calling proved to be an effective mediator of the relationship between academic burnout and empathy. This result demonstrates that calling is a key variable that mediates the relationship between medical students' academic burnout and empathy. As such, this study provides baseline data for an education that could improve medical students' empathy skills.
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Lee, Myeongjun; Kim, Hyunjung; Shin, Donghee; Lee, Sangyun
2016-01-01
Harassment means systemic and repeated unethical acts. Research on workplace harassment have been conducted widely and the NAQ-R has been widely used for the researches. But this tool, however the limitations in revealing differended in sub-factors depending on the culture and in reflecting that unique characteristics of the Koren society. So, The workplace harassment questionnaire for Korean finace and service workers has been developed to assess the level of personal harassment at work. This study aims to develop a tool to assess the level of personal harassment at work and to test its validity and reliability while examining specific characteristics of workplace harassment against finance and service workers in Korea. The framework of survey was established based on literature review, focused-group interview for the Korean finance and service workers. To verify its reliability, Cronbach's alpha coefficient was calculated; and to verify its validity, items and factors of the tool were analyzed. The correlation matrix analysis was examined to verify the tool's convergent validity and discriminant validity. Structural validity was verified by checking statistical significance in relation to the BDI-K. Cronbach's alpha coefficient of this survey was 0.93, which indicates a quite high level of reliability. To verify the appropriateness of this survey tool, its construct validity was examined through factor analysis. As a result of the factor analysis, 3 factors were extracted, explaining 56.5 % of the total variance. The loading values and communalities of the 20 items were 0.85 to 0.48 and 0.71 to 0.46. The convergent validity and discriminant validity were analyzed and rate of item discriminant validity was 100 %. Finally, for the concurrent validity, We examined the relationship between the WHI-KFSW and pschosocial stress by examining the correlation with the BDI-K. The results of chi-square test and multiple logistic analysis indicated that the correlation with the BDI-K was satatisctically significant. Workplace harassment in actual workplaces were investigated based on interviews, and the statistical analysis contributed to systematizing the types of actual workplace harassment. By statistical method, we developed the questionare, 20 items of 3 categories.
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Gordon, J.D.; Schroder, L.J.; Morden-Moore, A. L.; Bowersox, V.C.
1995-01-01
Separate experiments by the U.S. Geological Survey (USGS) and the Illinois State Water Survey Central Analytical Laboratory (CAL) independently assessed the stability of hydrogen ion and specific conductance in filtered wet-deposition samples stored at ambient temperatures. The USGS experiment represented a test of sample stability under a diverse range of conditions, whereas the CAL experiment was a controlled test of sample stability. In the experiment by the USGS, a statistically significant (?? = 0.05) relation between [H+] and time was found for the composited filtered, natural, wet-deposition solution when all reported values are included in the analysis. However, if two outlying pH values most likely representing measurement error are excluded from the analysis, the change in [H+] over time was not statistically significant. In the experiment by the CAL, randomly selected samples were reanalyzed between July 1984 and February 1991. The original analysis and reanalysis pairs revealed that [H+] differences, although very small, were statistically different from zero, whereas specific-conductance differences were not. Nevertheless, the results of the CAL reanalysis project indicate there appears to be no consistent, chemically significant degradation in sample integrity with regard to [H+] and specific conductance while samples are stored at room temperature at the CAL. Based on the results of the CAL and USGS studies, short-term (45-60 day) stability of [H+] and specific conductance in natural filtered wet-deposition samples that are shipped and stored unchilled at ambient temperatures was satisfactory.
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Implementation of the medical research curriculum in graduate medical school.
Park, Kwi Hwa; Kim, Tae-Hee; Chung, Wook-Jin
2011-06-01
The purpose of this study was to analyze the effect of the medical research curriculum on the students' satisfaction and the research self-efficacy. The curriculum was implemented to 79 graduate medical school students who entered in 2007 and 2008. This curriculum is implemented through 3 years consisting of 5 different sub-courses: Research design, Research ethics, Medical statistics, Writing medical paper, and Presentation. The effect of this program was measured with 2 self-administered surveys to students: the course satisfaction survey and the self-efficacy inventories. The Research Self-Efficacy Scale consisted of 18 items from 4 categories: Research design, Research ethics, Data analysis, and Result presentation. The descriptive statistics, paired t-test, and analysis of covariance (ANCOVA) were implemented. The average point of satisfaction of the course was 2.74 out of 4, which told us that students generally satisfied with the course. The frequencies of tutoring for research course were 2 or 3 times on average and each session of tutorial lasted 1.5 to 2 hours. The research self-efficacy in three categories (Research design, Research ethics, and Result presentation) increased significantly (p<0.1). The self-efficacy of the male students was higher than females' one. The self-efficacy was not significantly different by the experience of research paper writing at undergraduate level. The curriculum showed positive results in cultivating research self-efficacy of students. There is a need for improvement of the class of Statistical analysis as students reported that it was difficult.
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Drug-nutrient interaction counseling programs in upper midwestern hospitals: 1986 survey results.
Jones, C M; Reddick, J E
1989-02-01
A mail survey was conducted to determine the characteristics of drug-nutrient counseling programs provided to hospitalized patients. The survey population included general medical-surgical type hospitals with 175 or more bed capacity in five upper Midwestern states: Illinois, Iowa, Michigan, Minnesota, and Wisconsin. The average return from 289 surveys was 75%. A mean of 64% of responding hospitals provide patient counseling on drug-nutrient interactions. All statistical analysis was by chi-square. Calculations revealed that less than 50% of hospitals require a physician's order to provide drug-nutrient interaction counseling. More than 50% involve a registered dietitian in providing such counseling. The monoamine oxidase inhibitor drugs were cited most frequently as the group of drugs for which counseling was needed. Other drug groups for which patient counseling is needed include: diuretics, anticoagulants, tetracyclines, oral hypoglycemics, insulin, antihypertensives and/or cardiac drugs, antibiotics, and corticosteroids. Having the dietitian or other dietary personnel scan the patient chart was cited most often as the preferred method for detection of patients taking the drugs. A final statistical calculation revealed that there is no difference between teaching and nonteaching hospitals in the number providing a drug-nutrient counseling program.
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Measures of large-scale structure in the CfA redshift survey slices
NASA Technical Reports Server (NTRS)
De Lapparent, Valerie; Geller, Margaret J.; Huchra, John P.
1991-01-01
Variations of the counts-in-cells with cell size are used here to define two statistical measures of large-scale clustering in three 6 deg slices of the CfA redshift survey. A percolation criterion is used to estimate the filling factor which measures the fraction of the total volume in the survey occupied by the large-scale structures. For the full 18 deg slice of the CfA redshift survey, f is about 0.25 + or - 0.05. After removing groups with more than five members from two of the slices, variations of the counts in occupied cells with cell size have a power-law behavior with a slope beta about 2.2 on scales from 1-10/h Mpc. Application of both this statistic and the percolation analysis to simulations suggests that a network of two-dimensional structures is a better description of the geometry of the clustering in the CfA slices than a network of one-dimensional structures. Counts-in-cells are also used to estimate at 0.3 galaxy h-squared/Mpc the average galaxy surface density in sheets like the Great Wall.
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75 FR 22565 - Privacy Act of 1974; System of Records
Federal Register 2010, 2011, 2012, 2013, 2014
2010-04-29
... collect, assemble, interpret, analyze, report and publish surveys; research, study, statistical and... commercial entities, for surveys or research, where such releases are consistent with the mission of the...): To collect, assemble, interpret, analyze, report and publish surveys; research, study, statistical...
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Marcelli, E A; Heer, D M
1998-01-01
"Using a unique 1994 Los Angeles County Household Survey of foreign-born Mexicans and the March 1994 and 1995 Current Population Surveys, we estimate the number of unauthorized Mexican immigrants (UMIs) residing in Los Angeles County, and compare their use of seven welfare programs with that of other non-U.S. citizens and U.S. citizens. Non-U.S. citizens were found to be no more likely than U.S. citizens to have used welfare, and UMIs were 11% (14%) less likely than other non-citizens (U.S.-born citizens).... We demonstrate how results differ depending on the unit of analysis employed, and on which programs constitute ¿welfare'." excerpt
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Assessment of Tooth Wear Among Glass Factory Workers: WHO 2013 Oral Health Survey
Bhat, Nagesh; Asawa, Kailash; Tak, Mridula; Bapat, Salil; Gupta, Vivek Vardhan
2015-01-01
Background Glass factory workers are often exposed to the hazardous environment that leads to deleterious oral health and subsequently, general health. We planned to determine the effects of the particulates present in the milieu on the tooth wear among workers. Aim To assess tooth wear among glass factory workers in Jaipur, Rajasthan, India. Settings and Design A descriptive cross-sectional survey was conducted among 936 glass workers in Jaipur, Rajasthan, India from January-June 2014. Materials and Methods A survey proforma was designed for tooth wear evaluation with the help of WHO Oral Health Assessment form 2013 (for adults). Information regarding oral health practices, adverse habits and dietary habits, demographic details was gathered and clinical parameters were recorded. Statistical Analysis The Chi–square test, t–test, One-way Analysis of Variance and a Stepwise multiple linear regression analysis. Results The most prevalent form of erosion was enamel erosion (589, 62.93%) with few subjects of deeper dentinal erosion and the difference was statistically significant (p=0.001). Dental erosion was found to be higher among males compared to females. Years of experience and educational status were identified as best predictors for dental erosion. Conclusion It was concluded that there was considerable evidence of dental erosion found among the factory workers. Due to ignorance on social, cultural and health aspects, professional approach with regular dental care services for detection of early symptoms and planning of preventive strategies is warranted. PMID:26436050
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Morrissey, Karyn; Kinderman, Peter; Pontin, Eleanor; Tai, Sara; Schwannauer, Mathias
2016-08-01
In June 2011 the BBC Lab UK carried out a web-based survey on the causes of mental distress. The 'Stress Test' was launched on 'All in the Mind' a BBC Radio 4 programme and the test's URL was publicised on radio and TV broadcasts, and made available via BBC web pages and social media. Given the large amount of data created, over 32,800 participants, with corresponding diagnosis, demographic and socioeconomic characteristics; the dataset are potentially an important source of data for population based research on depression and anxiety. However, as respondents self-selected to participate in the online survey, the survey may comprise a non-random sample. It may be only individuals that listen to BBC Radio 4 and/or use their website that participated in the survey. In this instance using the Stress Test data for wider population based research may create sample selection bias. Focusing on the depression component of the Stress Test, this paper presents an easy-to-use method, the Two Step Probit Selection Model, to detect and statistically correct selection bias in the Stress Test. Using a Two Step Probit Selection Model; this paper did not find a statistically significant selection on unobserved factors for participants of the Stress Test. That is, survey participants who accessed and completed an online survey are not systematically different from non-participants on the variables of substantive interest. Copyright © 2016 Elsevier Ltd. All rights reserved.
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The detection of the imprint of filaments on cosmic microwave background lensing
NASA Astrophysics Data System (ADS)
He, Siyu; Alam, Shadab; Ferraro, Simone; Chen, Yen-Chi; Ho, Shirley
2018-05-01
Galaxy redshift surveys, such as the 2-Degree-Field Survey (2dF)1, Sloan Digital Sky Survey (SDSS)2, 6-Degree-Field Survey (6dF)3, Galaxy And Mass Assembly survey (GAMA)4 and VIMOS Public Extragalactic Redshift Survey (VIPERS)5, have shown that the spatial distribution of matter forms a rich web, known as the cosmic web6. Most galaxy survey analyses measure the amplitude of galaxy clustering as a function of scale, ignoring information beyond a small number of summary statistics. Because the matter density field becomes highly non-Gaussian as structure evolves under gravity, we expect other statistical descriptions of the field to provide us with additional information. One way to study the non-Gaussianity is to study filaments, which evolve non-linearly from the initial density fluctuations produced in the primordial Universe. In our study, we report the detection of lensing of the cosmic microwave background (CMB) by filaments, and we apply a null test to confirm our detection. Furthermore, we propose a phenomenological model to interpret the detected signal, and we measure how filaments trace the matter distribution on large scales through filament bias, which we measure to be around 1.5. Our study provides new scope to understand the environmental dependence of galaxy formation. In the future, the joint analysis of lensing and Sunyaev-Zel'dovich observations might reveal the properties of `missing baryons', the vast majority of the gas that resides in the intergalactic medium, which has so far evaded most observations.
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NASA Astrophysics Data System (ADS)
Voegel, Phillip D.; Quashnock, Kathryn A.; Heil, Katrina M.
2004-05-01
The Student-to-Student Chemistry Initiative is an outreach program started in the fall of 2001 at Midwestern State University (MSU). The oncampus program trains high school science students to perform a series of chemistry demonstrations and subsequently provides kits containing necessary supplies and reagents for the high school students to perform demonstration programs at elementary schools. The program focuses on improving student perception of science. The program's impact on high school student perception is evaluated through statistical analysis of paired preparticipation and postparticipation surveys. The surveys focus on four areas of student perception: general attitude toward science, interest in careers in science, science awareness, and interest in attending MSU for postsecondary education. Increased scores were observed in all evaluation areas including a statistically significant increase in science awareness following participation.
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Sun, Jiayang; Bogie, Kath M; Teagno, Joe; Sun, Yu-Hsiang (Sam); Carter, Rebecca R; Cui, Licong; Zhang, Guo-Qiang
2014-01-01
Ovarian cancer (OvCa) is the most lethal gynecologic disease in the United States, with an overall 5-year survival rate of 44.5%, about half of the 89.2% for all breast cancer patients. To identify factors that possibly contribute to the long-term survivorship of women with OvCa, we conducted a comprehensive online Ovarian Cancer Survivorship Survey from 2009 to 2013. This paper presents the design and implementation of our survey, introduces its resulting data source, the OVA-CRADLE™ (Clinical Research Analytics and Data Lifecycle Environment), and illustrates a sample application of the survey and data by an analysis of prediagnosis symptoms, using text mining and statistics. The OVA-CRADLE™ is an application of our patented Physio-MIMI technology, facilitating Web-based access, online query and exploration of data. The prediagnostic symptoms and association of early-stage OvCa diagnosis with endometriosis provide potentially important indicators for future studies in this field. PMID:25861211
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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.
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Lack, N
2001-08-01
The introduction of the modified data set for quality assurance in obstetrics (formerly perinatal survey) in Lower Saxony and Bavaria as early as 1999 saw the urgent requirement for a corresponding new statistical analysis of the revised data. The general outline of a new data reporting concept was originally presented by the Bavarian Commission for Perinatology and Neonatology at the Munich Perinatal Conference in November 1997. These ideas are germinal to content and layout of the new quality report for obstetrics currently in its nationwide harmonisation phase coordinated by the federal office for quality assurance in hospital care. A flexible and modular database oriented analysis tool developed in Bavaria is now in its second year of successful operation. The functionalities of this system are described in detail.
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Structure and Content Analysis for Vocational High School Website in Indonesia
NASA Astrophysics Data System (ADS)
Subagja, H.; Abdullah, A. G.; Trisno, B.; Nandiyanto, A. B. D.
2017-03-01
Statistics about the condition of the school’s website in Indonesia is still difficult. This study aims to determine website quality in terms of completeness of content’s criteria of Vocational High School (VHS) in West Java, Indonesia. The method used is the content analysis and survey. Content analysis is reviewing the documents comprising the general category, while the survey is a observation process to get the facts from 272 school websites. Aspects of the structure and content of school website are including institutional information, educators and education personnel, curriculum, student, infrastructure, school achievement, and public access. The results of this study showed the average quality of the VHS website in West Java is still low. The recommendations are needed to improve the quality of the school website.
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Jeremy Gwin and Douglas Frenette
This document contains the process knowledge, radiological data and subsequent statistical methodology and analysis to support approval for the radiological release of Corrective Action Unit (CAU) 117 – Pluto Disassembly Facility, Building 2201 located in Area 26 of the Nevada National Security Site (NNSS). Preparations for release of the building began in 2009 and followed the methodology described in the Multi-Agency Radiation Survey and Site Investigation Manual (MARSSIM). MARSSIM is the DOE approved process for release of Real Property (buildings and landmasses) to a set of established criteria or authorized limits. The pre-approved authorized limits for surface contamination values andmore » corresponding assumptions were established by DOE O 5400.5. The release criteria coincide with the acceptance criteria of the U10C landfill permit. The U10C landfill is the proposed location to dispose of the radiologically non-impacted, or “clean,” building rubble following demolition. However, other disposition options that include the building and/or waste remaining at the NNSS may be considered providing that the same release limits apply. The Final Status Survey was designed following MARSSIM guidance by reviewing historical documentation and radiological survey data. Following this review a formal radiological characterization survey was performed in two phases. The characterization revealed multiple areas of residual radioactivity above the release criteria. These locations were remediated (decontaminated) and then the surface activity was verified to be less than the release criteria. Once remediation efforts had been successfully completed, a Final Status Survey Plan (10-015, “Final Status Survey Plan for Corrective Action Unit 117 – Pluto Disassembly Facility, Building 2201”) was developed and implemented to complete the final step in the MARSSIM process, the Final Status Survey. The Final Status Survey Plan consisted of categorizing each individual room into one of three categories: Class 1, Class 2 or Class 3 (a fourth category is a “Non-Impacted Class” which in the case of Building 2201 only pertained to exterior surfaces of the building.) The majority of the rooms were determined to fall in the less restrictive Class 3 category, however, Rooms 102, 104, 106, and 107 were identified as containing Class 1 and 2 areas. Building 2201 was divided into “survey units” and surveyed following the requirements of the Final Status Survey Plan for each particular class. As each survey unit was completed and documented, the survey results were evaluated. Each sample (static measurement) with units of counts per minute (cpm) was corrected for the appropriate background and converted to a value with units of dpm/100 cm2. With a surface contamination value in the appropriate units, it was compared to the surface contamination limits, or in this case the derived concentration guideline level (DCGLw). The appropriate statistical test (sign test) was then performed. If the survey unit was statistically determined to be below the DCGLw, then the survey unit passed and the null hypothesis (that the survey unit is above limits) was rejected. If the survey unit was equal to or below the critical value in the sign test, the null hypothesis was not rejected. This process was performed for all survey units within Building 2201. A total of thirty-three “Class 1,” four “Class 2,” and one “Class 3” survey units were developed, surveyed, and evaluated. All survey units successfully passed the statistical test. Building 2201 meets the release criteria commensurate with the Waste Acceptance Criteria (for radiological purposes) of the U10C landfill permit residing within NNSS boundaries. Based on the thorough statistical sampling and scanning of the building’s interior, Building 2201 may be considered radiologically “clean,” or free of contamination.« less
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The Role of Institutional Research in a High Profile Study of Undergraduate Research
ERIC Educational Resources Information Center
Webber, Karen L.
2012-01-01
Armed with a strong toolkit of knowledge and skills, institutional research (IR) professionals often serve as collaborators with campus colleagues who may need assistance with survey design, statistical analysis, program review, and assessment of individual programs or the institution. This paper discusses the role that an IR professional played…
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An Analysis of the Associations between Ambiguity Tolerance and EFL Reading Strategy Awareness
ERIC Educational Resources Information Center
Kamran, Saeedeh Karbalaee; Maftoon, Parviz
2012-01-01
The current study is an attempt to investigate whether any statistically significant relationship existed between Iranian EFL learners' ambiguity tolerance (AT) and their reading strategy use. To this end, three instruments of Survey of Reading Strategy (Mokhtari & Sheorey, 2002), Second Language Ambiguity Tolerance Scale (Ely, 1995), and a…
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Moving beyond Assumptions: The Use of Virtual Reference Data in an Academic Library
ERIC Educational Resources Information Center
Nolen, David S.; Powers, Amanda Clay; Zhang, Li; Xu, Yue; Cannady, Rachel E.; Li, Judy
2012-01-01
The Mississippi State University Libraries' Virtual Reference Service collected statistics about virtual reference usage. Analysis of the data collected by an entry survey from chat and e-mail transactions provided librarians with concrete information about what patron groups were the highest and lowest users of virtual reference services. These…
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Forest statistics for Northwest Florida, 1987
Mark J. Brown
1987-01-01
The Forest Inventory and Analysis (Forest Survey) Research Work Unit at the Southeastern Forest Experiment Station recently conducted a review of its data processing procedures. During this process, a computer error was discovered which led to inflated estimates of annual removals, net annual growth, and annual mortality for the 1970-1980 remeasurement period in...
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Federal Programs Supporting Educational Change, Vol. 2: Factors Affecting Change Agent Projects.
ERIC Educational Resources Information Center
Berman, Paul; Pauly, Edward W.
This second volume in the change-agent series reports the interim results of an exploratory statistical analysis of a survey of a nationwide sample of 293 change-agent projects funded by four federal demonstration programs--Elementary Secondary Education Act (ESEA) Title III, Innovative Projects; ESEA Title VII, Bilingual Projects; Vocational…
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ERIC Educational Resources Information Center
Palazotto, Anthony N.; And Others
This report is the result of a pilot program to seek out ways for developing an educational institution's transportation flow. Techniques and resulting statistics are discussed. Suggestions for additional uses of the information obtained are indicated. (Author)
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Economics: A Discriminant Analysis of Students' Perceptions of Web-Based Learning.
ERIC Educational Resources Information Center
Usip, Ebenge E.; Bee, Richard H.
1998-01-01
Users and nonusers of Web-based instruction (WBI) in an undergraduate statistics classes at Youngstown State University were surveyed. Users concluded that distance learning via the Web was a good method of obtaining general information and useful tool in improving their academic performance. Nonusers thought the university should provide…
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Gender, Academic Careers and the Sabbatical: A New Zealand Case Study
ERIC Educational Resources Information Center
Smith, D.; Spronken-Smith, R.; Stringer, R.; Wilson, C. A.
2016-01-01
This article examines academics' access to and perceptions of sabbaticals at a research-intensive university in New Zealand. Statistical and inductive analysis of survey data from 915 academics (47% of all academics employed) revealed inequalities in access to and experience of sabbaticals, and highlighted academic, personal and gender issues. Men…
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ERIC Educational Resources Information Center
Hui, Liu; Min, Yang
2017-01-01
Based on the survey of "undergraduate family and educational background and freshman learning experience," a statistical analysis of Guangzhou University first-year undergraduate students' family backgrounds and participation in student organizational activities found a significant correlation between family background and the degree of…
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Digital Learning Compass: Distance Education State Almanac 2017. North Dakota
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of North Dakota. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. West Virginia
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of West Virginia. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. South Dakota
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of South Dakota. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. North Carolina
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of North Carolina. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. Rhode Island
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of Rhode Island. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. New Hampshire
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of New Hampshire. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. New Jersey
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of New Jersey. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. New Mexico
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of New Mexico. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. New York
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of New York. The sample for this analysis is comprised of all active, degree-granting…
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Digital Learning Compass: Distance Education State Almanac 2017. South Carolina
ERIC Educational Resources Information Center
Seaman, Julia E.; Seaman, Jeff
2017-01-01
This brief report uses data collected under the U.S. Department of Education's National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data System (IPEDS) Fall Enrollment survey to highlight distance education data in the state of South Carolina. The sample for this analysis is comprised of all active, degree-granting…
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An Analysis of Factors Affecting Student Perceptions in a Blended Learning Environment
ERIC Educational Resources Information Center
Peruso, Florence Mary
2012-01-01
The current quantitative study measured the perceptions of students towards online-only learning and towards blended-hybrid learning. Descriptive statistics were implemented to analyze the data from a Likert-type survey, administered to students in degree-seeking programs at an institution of higher learning. A "t"-test and…
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Getting the Measure of the VET Professional
ERIC Educational Resources Information Center
Mlotkowski, Peter; Guthrie, Hugh
2010-01-01
This report draws on analyses of Australian Bureau of Statistics (ABS) data from the Survey of Education and Training (SET) and the Census of Population and Housing to provide an updated demographic profile of vocational education and training (VET) professionals and VET practitioners. A number of caveats are attached to this analysis, all…
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The National Center for Health Statistics collaborated with the National Human Monitoring Program of the U.S. Environmental Protection Agency (EPA) in a four-year study to assess the exposure of the general population to selected pesticides through analysis of blood serum and uri...
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ERIC Educational Resources Information Center
Blackwell, Cindy DeRuiter; Bilics, Andrea
2018-01-01
Directors of entry-level occupational therapy (OT) programs were surveyed regarding how their programs prepare students to become mental health practitioners in schools. Analysis of quantitative data included descriptive statistics to examine participants' ratings of their program's ability to prepare students for mental health practice. We found…
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ERIC Educational Resources Information Center
Magana, Alejandra J.; Taleyarkhan, Manaz; Alvarado, Daniela Rivera; Kane, Michael; Springer, John; Clase, Kari
2014-01-01
Bioinformatics education can be broadly defined as the teaching and learning of the use of computer and information technology, along with mathematical and statistical analysis for gathering, storing, analyzing, interpreting, and integrating data to solve biological problems. The recent surge of genomics, proteomics, and structural biology in the…
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Queensland Teachers' Conceptions of Assessment: The Impact of Policy Priorities on Teacher Attitudes
ERIC Educational Resources Information Center
Brown, Gavin T. L.; Lake, Robert; Matters, Gabrielle
2011-01-01
The conceptions Queensland teachers have about assessment purposes were surveyed in 2003 with an abridged version of the Teacher Conceptions of Assessment Inventory. Multi-group analysis found that a model with four factors, somewhat different in structure to previous studies, was statistically different between Queensland primary and (lower)…
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Technology Integration in K-12 Science Classrooms: An Analysis of Barriers and Implications
ERIC Educational Resources Information Center
Hechter, Richard P.; Vermette, Laurie Anne
2013-01-01
This paper examines the barriers to technology integration for Manitoban K-12 inservice science educators (n = 430) based on a 10-item online survey; results are analyzed according to teaching stream using the Technology, Pedagogy, and Content Knowledge (TPACK) framework. Quantitative descriptive statistics indicated that the leading barriers…
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ERIC Educational Resources Information Center
Bartolke, Klaus; And Others
1982-01-01
A survey of 601 managers and workers in 10 German manufacturing companies studied the implications of workers' participation for the exercise of control. Statistical analysis of data on control over work environments, production organization, personnel, and finance indicated that, in more participative companies, distribution of control is more…
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An Empirical Taxonomy of Hospital Governing Board Roles
Lee, Shoou-Yih D; Alexander, Jeffrey A; Wang, Virginia; Margolin, Frances S; Combes, John R
2008-01-01
Objective To develop a taxonomy of governing board roles in U.S. hospitals. Data Sources 2005 AHA Hospital Governance Survey, 2004 AHA Annual Survey of Hospitals, and Area Resource File. Study Design A governing board taxonomy was developed using cluster analysis. Results were validated and reviewed by industry experts. Differences in hospital and environmental characteristics across clusters were examined. Data Extraction Methods One-thousand three-hundred thirty-four hospitals with complete information on the study variables were included in the analysis. Principal Findings Five distinct clusters of hospital governing boards were identified. Statistical tests showed that the five clusters had high internal reliability and high internal validity. Statistically significant differences in hospital and environmental conditions were found among clusters. Conclusions The developed taxonomy provides policy makers, health care executives, and researchers a useful way to describe and understand hospital governing board roles. The taxonomy may also facilitate valid and systematic assessment of governance performance. Further, the taxonomy could be used as a framework for governing boards themselves to identify areas for improvement and direction for change. PMID:18355260
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Surveying Low-Mass Star Formation with the Submillimeter Array
NASA Astrophysics Data System (ADS)
Dunham, Michael
2018-01-01
Large astronomical surveys yield important statistical information that can’t be derived from single-object and small-number surveys. In this talk I will review two recent surveys in low-mass star formation undertaken by the Submillimeter Array (SMA): a millimeter continuum survey of disks surrounding variably accreting young stars, and a complete continuum and molecular line survey of all protostars in the nearby Perseus Molecular Cloud. I will highlight several new insights into the processes by which low-mass stars gain their mass that have resulted from the statistical power of these surveys.
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Rivas, Juan Gomez; Socarras, Moises Rodriguez; Patruno, Giulio; Uvin, Pieter; Esperto, Francesco; Dinis, Paulo Jorge; Roupret, Morgan; Borgmann, Hendrik
2017-07-27
Social media (SoMe) are increasingly being integrated into personal and professional life, with urology being a leading medical specialty in SoMe adoption. We aimed to assess the perceived role of SoMe in urologic knowledge acquisition among young urologists across Europe. Members of the European Society of Residents in Urology designed a 20-item online survey via surveymonkey.com. The survey was designed in accordance with Checklist for Reporting Results of Internet E-Surveys (CHERRIES) guidelines and was distributed via e-mail and social media in 23 European countries to urology residents and young urologists. Statistical Package for the Social Sciences (SPSS) software was used for descriptive statistics and statistical analysis. For comparative analysis the Mann-Whitney U test was used. A total of 316 young urologists with a mean age of 31.2±3.9 yr responded to the survey. Of the respondents, 99% use SoMe in a personal and/or professional way. YouTube and LinkedIn are the most frequently used platforms for professional use. SoMe were ranked in third place as an information source for urologic news/updates, lying behind journals and websites but ahead of congresses and books. Video content from YouTube or other sources was ranked as a preferred tool to see/understand surgical techniques ahead of websites and reference books. 61% follow urologic associations, 47% follow urologic events, 44% follow urologic journals, and 39% follow urologic experts on SoMe. The perceived influence of SoMe on urology knowledge was rated as moderate to high by 63% and as low to none by 37% of young urologists. Of the respondents, 44% apply guidelines on the appropriate use of SoMe in urology. SoMe play a significant role in knowledge acquisition by young urologists in Europe. Physicians, organizations, and institutions should strive to spread and provide valuable educational content through SoMe. Social media can be valuable for education in urology because it is useful to keep abreast of new developments in this field of medicine. Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.
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The Trauma Center Organizational Culture Survey: development and conduction.
Davis, Matthew L; Wehbe-Janek, Hania; Subacius, Haris; Pinto, Ruxandra; Nathens, Avery B
2015-01-01
The Trauma Center Organizational Culture Survey (TRACCS) instrument was developed to assess organizational culture of trauma centers enrolled in the American College of Surgeons Trauma Quality Program (ACS TQIP). The objective is to provide evidence on the psychometric properties of the factors of TRACCS and describe the current organizational culture of TQIP-enrolled trauma centers. A cross-sectional study was conducted by surveying a sampling of employees at 174 TQIP-enrolled trauma centers. Data collection was preceded by multistep survey development. Psychometric properties were assessed by an exploratory factor analysis (construct validity) and the item-total correlations and Cronbach alpha were calculated (internal reliability). Statistical outcomes of the survey responses were measured by descriptive statistics and mixed effect models. The response rate for trauma center participation in the study was 78.7% (n = 137). The factor analysis resulted in 16 items clustered into three factors as described: opportunity, pride, and diversity, trauma center leadership, and employee respect and recognition. TRACCS was found to be highly reliable with a Cronbach alpha of 0.90 in addition to the three factors (0.91, 0.90, and 0.85). Considerable variability of TRACCS overall and factor score among hospitals was measured, with the largest interhospital deviations among trauma center leadership. More than 80% of the variability in the responses occurred within rather than between hospitals. TRACCS was developed as a reliable tool for measuring trauma center organizational culture. Relationships between TQIP outcomes and measured organizational culture are under investigation. Trauma centers could apply TRACCS to better understand current organizational culture and how change tools can impact culture and subsequent patient and process outcomes. Copyright © 2015 Elsevier Inc. All rights reserved.
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... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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Assessment of Self-Efficacy in Systems Engineering as an Indicator of Competency Level Achievement
2014-06-01
11 C. RESEARCH ON SELF-EFFICACY IN INFORMATION TECHNOLOGY —A PARALLEL TO SYSTEMS ENGINEERING ......13 1. Stakeholder Analysis...Expectancy value theory FA Factor analysis IT Information technology KSA Knowledge, skills, abilities MIS Management information systems NPS...item in particular reflected statistically significant pre- and post-survey results at p<.001, which was the student’s ability to pick a technology for
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Cannon, E.; Miranda, A.L.
1990-08-01
The market survey covers the renewable energy resources market in the Philippines. Sub-sectors covered include biomass, solar energy, photovoltaic cells, windmills, and mini-hydro systems. The analysis contains statistical and narrative information on projected market demand, end-users; receptivity of Philippine consumers to U.S. products; the competitive situation, and market access (tariffs, non-tariff barriers, standards, taxes, distribution channels). It also contains key contact information.
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Secondary Data Analysis of National Surveys in Japan Toward Improving Population Health
Ikeda, Nayu
2016-01-01
Secondary data analysis of national health surveys of the general population is a standard methodology for health metrics and evaluation; it is used to monitor trends in population health over time and benchmark the performance of health systems. In Japan, the government has established electronic databases of individual records from national surveys of the population’s health. However, the number of publications based on these datasets is small considering the scale and coverage of the surveys. There appear to be two major obstacles to the secondary use of Japanese national health survey data: strict data access control under the Statistics Act and an inadequate interdisciplinary research environment for resolving methodological difficulties encountered when dealing with secondary data. The usefulness of secondary analysis of survey data is evident with examples from the author’s previous studies based on vital records and the National Health and Nutrition Surveys, which showed that (i) tobacco smoking and high blood pressure are the major risk factors for adult mortality from non-communicable diseases in Japan; (ii) the decrease in mean blood pressure in Japan from the late 1980s to the early 2000s was partly attributable to the increased use of antihypertensive medication and reduced dietary salt intake; and (iii) progress in treatment coverage and control of high blood pressure is slower in Japan than in the United States and Britain. National health surveys in Japan are an invaluable asset, and findings from secondary analyses of these surveys would provide important suggestions for improving health in people around the world. PMID:26902170
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The Einstein Observatory Extended Medium-Sensitivity Survey. I - X-ray data and analysis
NASA Technical Reports Server (NTRS)
Gioia, I. M.; Maccacaro, T.; Schild, R. E.; Wolter, A.; Stocke, J. T.
1990-01-01
This paper presents the results of the analysis of the X-ray data and the optical identification for the Einstein Observatory Extended Medium-Sensitivity Survey (EMSS). The survey consists of 835 serendipitous sources detected at or above 4 times the rms level in 1435 imaging proportional counter fields with centers located away from the Galactic plane. Their limiting sensitivities are about (5-300) x 10 to the -14th ergs/sq cm sec in the 0.3-3.5-keV energy band. A total area of 778 square deg of the high-Galactic-latitude sky has been covered. The data have been analyzed using the REV1 processing system, which takes into account the nonuniformities of the detector. The resulting EMSS catalog of X-ray sources is a flux-limited and homogeneous sample of astronomical objects that can be used for statistical studies.
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Ocean data assimilation using optimal interpolation with a quasi-geostrophic model
NASA Technical Reports Server (NTRS)
Rienecker, Michele M.; Miller, Robert N.
1991-01-01
A quasi-geostrophic (QG) stream function is analyzed by optimal interpolation (OI) over a 59-day period in a 150-km-square domain off northern California. Hydrographic observations acquired over five surveys were assimilated into a QG open boundary ocean model. Assimilation experiments were conducted separately for individual surveys to investigate the sensitivity of the OI analyses to parameters defining the decorrelation scale of an assumed error covariance function. The analyses were intercompared through dynamical hindcasts between surveys. The best hindcast was obtained using the smooth analyses produced with assumed error decorrelation scales identical to those of the observed stream function. The rms difference between the hindcast stream function and the final analysis was only 23 percent of the observation standard deviation. The two sets of OI analyses were temporally smoother than the fields from statistical objective analysis and in good agreement with the only independent data available for comparison.
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Problem Representation and Academic Performance in Statistics
ERIC Educational Resources Information Center
Li, Jun
2014-01-01
The purpose of this study was to examine the relationship between problem representation and academic performance in statistics. A specially-designed triad judgment task was administered through SurveyMonkey, an online survey service. Participants were 162 high school graduates who took the AP Statistics Examination in the spring of 2013. Results…
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Federal Register 2010, 2011, 2012, 2013, 2014
2011-09-28
... DEPARTMENT OF AGRICULTURE National Agricultural Statistics Service Notice of Intent To Suspend the Postharvest Chemical Use Survey and All Associated Reports AGENCY: National Agricultural Statistics Service... the intention of the National Agricultural Statistics Service (NASS) to suspend a currently approved...
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Using Christmas Bird Count data in analysis of population change
Sauer, J.R.; Link, W.A.
2002-01-01
The scientific credibility of Christmas Bird Count (CBC) results depend on the development and implementation of appropriate methods of statistical analysis. The key to any successful analysis of CBC data is to begin with a careful review of how the limitations of the data are likely to influence the results of the analysis, then to choose methods of analysis that accommodate as much as possible the limitations of the survey. For our analyses of CBC data, we develop a flexible model for effort adjustment and use information from the data to guide the selection of the best model. We include geographic structuring to accommodate the regional variation in number of samples, use a model that allows for overdispersed poisson data appropriate for counts, and employ empirical Bayes procedures to accommodate differences in quality of information in regional summaries. This generalized linear model approach is very flexible, and can be applied to a variety of studies focused on factors influencing wintering bird populations. In particular, the model can be easily modified to contain covariates, allowing for assessment of associations between CBC counts and winter weather, disturbance, and a variety of other environmental factors. These new survey analysis methods have added value in that they provide insights into changes in survey design that can enhance the value of the information. The CBC has been extremely successful as a tool for increasing public interest in birding and bird conservation. Use of the information for bird conservation creates new demands on quality of information, and it is important to maintain a dialogue between users of the information, information needs for the analyses, and survey coordinators and participants. Our work as survey analysts emphasizes the value and limitations of existing data, and provides some indications of what features of the survey could be modified to make the survey a more reliable source of bird population data. Surveys only remain useful if they adapt to current needs, while still maintaining consistency with historical goals.
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Chardon, Jurgen; Swart, Arno
2016-07-01
In the consumer phase of a typical quantitative microbiological risk assessment (QMRA), mathematical equations identify data gaps. To acquire useful data we designed a food consumption and food handling survey (2,226 respondents) for QMRA applications that is especially aimed at obtaining quantitative data. For a broad spectrum of food products, the survey covered the following topics: processing status at retail, consumer storage, preparation, and consumption. Questions were designed to facilitate distribution fitting. In the statistical analysis, special attention was given to the selection of the most adequate distribution to describe the data. Bootstrap procedures were used to describe uncertainty. The final result was a coherent quantitative consumer phase food survey and parameter estimates for food handling and consumption practices in The Netherlands, including variation over individuals and uncertainty estimates.
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Matsuda, Yui; Masho, Saba; McGrath, Jacqueline M
2012-01-01
The purpose of this study is to examine the relationship between the number of unintended pregnancies and current contraceptive use. This is a secondary analysis of a cross-sectional survey, the 2006-2008 National Survey of Family Growth, which included 4,052 women between the ages of 15 and 44 years. A statistically significant association was found between the nonuse of contraceptives and repeated unintended pregnancies, as well as among those who used an effective contraceptive method and repeated unintended pregnancies. Nurses are encouraged to ask questions about intendedness of pregnancies during women's visits and help women choose appropriate contraceptive methods.
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Death in the United States, 2011
... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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Drew, Mark S.
2016-01-01
Cutaneous melanoma is the most life-threatening form of skin cancer. Although advanced melanoma is often considered as incurable, if detected and excised early, the prognosis is promising. Today, clinicians use computer vision in an increasing number of applications to aid early detection of melanoma through dermatological image analysis (dermoscopy images, in particular). Colour assessment is essential for the clinical diagnosis of skin cancers. Due to this diagnostic importance, many studies have either focused on or employed colour features as a constituent part of their skin lesion analysis systems. These studies range from using low-level colour features, such as simple statistical measures of colours occurring in the lesion, to availing themselves of high-level semantic features such as the presence of blue-white veil, globules, or colour variegation in the lesion. This paper provides a retrospective survey and critical analysis of contributions in this research direction. PMID:28096807
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The 2003 Australian Breast Health Survey: survey design and preliminary results.
Villanueva, Elmer V; Jones, Sandra; Nehill, Caroline; Favelle, Simone; Steel, David; Iverson, Donald; Zorbas, Helen
2008-01-14
The Breast Health Surveys, conducted by the National Breast Cancer Centre (NBCC) in 1996 and 2003, are designed to gain insight into the knowledge, attitudes and behaviours of a nationally representative sample of Australian women on issues relevant to breast cancer. In this article, we focus on major aspects of the design and present results on respondents' knowledge about mammographic screening. The 2003 BHS surveyed English-speaking Australian women aged 30-69 without a history of breast cancer using computer-assisted telephone interviewing. Questions covered the following themes: knowledge and perceptions about incidence, mortality and risk; knowledge and behaviour regarding early detection, symptoms and diagnosis; mammographic screening; treatment; and accessibility and availability of information and services. Respondents were selected using a complex sample design involving stratification. Sample weights against Australian population benchmarks were used in all statistical analyses. Means and proportions for the entire population and by age group and area of residence were calculated. Statistical tests were conducted using a level of significance of 0.01. Of the 3,144 respondents who consented to being interviewed, 138 (4.4%) had a previous diagnosis of breast cancer and were excluded leaving 3,006 completed interviews eligible for analysis. A majority of respondents (61.1%) reported ever having had a mammogram and 29.1% identified mammography as being the best way of finding breast cancer. A majority of women (85.9%) had heard of the BreastScreen Australia (BSA) program, the national mammographic screening program providing free biennial screening mammograms, with 94.5% believing that BSA attendance was available regardless of the presence or absence of symptoms. There have been substantial gains in women's knowledge about mammographic screening over the seven years between the two surveys. The NBCC Breast Health Surveys provide a valuable picture of the knowledge of Australian women about a range of issues. The present analysis shows significant gains in knowledge and behaviours relating to mammographic screening, while identifying additional areas for targeted improvement, as in the need to better communicate with women about screening and diagnostic services. Further analysis of additional core topic areas (eg., incidence, mortality, risk and treatment) will provide equally noteworthy insight.
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Approximate median regression for complex survey data with skewed response.
Fraser, Raphael André; Lipsitz, Stuart R; Sinha, Debajyoti; Fitzmaurice, Garrett M; Pan, Yi
2016-12-01
The ready availability of public-use data from various large national complex surveys has immense potential for the assessment of population characteristics using regression models. Complex surveys can be used to identify risk factors for important diseases such as cancer. Existing statistical methods based on estimating equations and/or utilizing resampling methods are often not valid with survey data due to complex survey design features. That is, stratification, multistage sampling, and weighting. In this article, we accommodate these design features in the analysis of highly skewed response variables arising from large complex surveys. Specifically, we propose a double-transform-both-sides (DTBS)'based estimating equations approach to estimate the median regression parameters of the highly skewed response; the DTBS approach applies the same Box-Cox type transformation twice to both the outcome and regression function. The usual sandwich variance estimate can be used in our approach, whereas a resampling approach would be needed for a pseudo-likelihood based on minimizing absolute deviations (MAD). Furthermore, the approach is relatively robust to the true underlying distribution, and has much smaller mean square error than a MAD approach. The method is motivated by an analysis of laboratory data on urinary iodine (UI) concentration from the National Health and Nutrition Examination Survey. © 2016, The International Biometric Society.
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Approximate Median Regression for Complex Survey Data with Skewed Response
Fraser, Raphael André; Lipsitz, Stuart R.; Sinha, Debajyoti; Fitzmaurice, Garrett M.; Pan, Yi
2016-01-01
Summary The ready availability of public-use data from various large national complex surveys has immense potential for the assessment of population characteristics using regression models. Complex surveys can be used to identify risk factors for important diseases such as cancer. Existing statistical methods based on estimating equations and/or utilizing resampling methods are often not valid with survey data due to complex survey design features. That is, stratification, multistage sampling and weighting. In this paper, we accommodate these design features in the analysis of highly skewed response variables arising from large complex surveys. Specifically, we propose a double-transform-both-sides (DTBS) based estimating equations approach to estimate the median regression parameters of the highly skewed response; the DTBS approach applies the same Box-Cox type transformation twice to both the outcome and regression function. The usual sandwich variance estimate can be used in our approach, whereas a resampling approach would be needed for a pseudo-likelihood based on minimizing absolute deviations (MAD). Furthermore, the approach is relatively robust to the true underlying distribution, and has much smaller mean square error than a MAD approach. The method is motivated by an analysis of laboratory data on urinary iodine (UI) concentration from the National Health and Nutrition Examination Survey. PMID:27062562
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Statistical literacy and sample survey results
NASA Astrophysics Data System (ADS)
McAlevey, Lynn; Sullivan, Charles
2010-10-01
Sample surveys are widely used in the social sciences and business. The news media almost daily quote from them, yet they are widely misused. Using students with prior managerial experience embarking on an MBA course, we show that common sample survey results are misunderstood even by those managers who have previously done a statistics course. In general, they fare no better than managers who have never studied statistics. There are implications for teaching, especially in business schools, as well as for consulting.
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Matsumura, Mina; Nakayama, Takuto; Sozu, Takashi
2016-01-01
A survey of introductory statistics courses at Japanese medical schools was published as a report in 2014. To obtain a complete understanding of the way in which statistics is taught at the university level in Japan, it is important to extend this survey to related fields, including pharmacy, dentistry, and nursing. The current study investigates the introductory statistics courses offered by faculties of pharmaceutical sciences (six-year programs) at Japanese universities, comparing the features of these courses with those studied in the survey of medical schools. We collected relevant data from the online syllabi of statistics courses published on the websites of 71 universities. The survey items included basic course information (for example, the course names, the targeted student grades, the number of credits, and course classification), textbooks, handouts, the doctoral subject and employment status of each lecturer, and course contents. The period surveyed was July-September 2015. We found that these 71 universities offered a total of 128 statistics courses. There were 67 course names, the most common of which was "biostatistics (iryou toukeigaku)." About half of the courses were designed for first- or second-year students. Students earned fewer than two credits. There were 62 different types of textbooks. The lecturers held doctoral degrees in 18 different subjects, the most common being a doctorate in pharmacy or science. Some course content differed, reflecting the lecturers' academic specialties. The content of introductory statistics courses taught in pharmaceutical science programs also differed slightly from the equivalent content taught in medical schools.
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Statistical Reporting Errors and Collaboration on Statistical Analyses in Psychological Science.
Veldkamp, Coosje L S; Nuijten, Michèle B; Dominguez-Alvarez, Linda; van Assen, Marcel A L M; Wicherts, Jelte M
2014-01-01
Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this 'co-piloting' currently occurs in psychology, we surveyed the authors of 697 articles published in six top psychology journals and asked them whether they had collaborated on four aspects of analyzing data and reporting results, and whether the described data had been shared between the authors. We acquired responses for 49.6% of the articles and found that co-piloting on statistical analysis and reporting results is quite uncommon among psychologists, while data sharing among co-authors seems reasonably but not completely standard. We then used an automated procedure to study the prevalence of statistical reporting errors in the articles in our sample and examined the relationship between reporting errors and co-piloting. Overall, 63% of the articles contained at least one p-value that was inconsistent with the reported test statistic and the accompanying degrees of freedom, and 20% of the articles contained at least one p-value that was inconsistent to such a degree that it may have affected decisions about statistical significance. Overall, the probability that a given p-value was inconsistent was over 10%. Co-piloting was not found to be associated with reporting errors.
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Statistical Reporting Errors and Collaboration on Statistical Analyses in Psychological Science
Veldkamp, Coosje L. S.; Nuijten, Michèle B.; Dominguez-Alvarez, Linda; van Assen, Marcel A. L. M.; Wicherts, Jelte M.
2014-01-01
Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this ‘co-piloting’ currently occurs in psychology, we surveyed the authors of 697 articles published in six top psychology journals and asked them whether they had collaborated on four aspects of analyzing data and reporting results, and whether the described data had been shared between the authors. We acquired responses for 49.6% of the articles and found that co-piloting on statistical analysis and reporting results is quite uncommon among psychologists, while data sharing among co-authors seems reasonably but not completely standard. We then used an automated procedure to study the prevalence of statistical reporting errors in the articles in our sample and examined the relationship between reporting errors and co-piloting. Overall, 63% of the articles contained at least one p-value that was inconsistent with the reported test statistic and the accompanying degrees of freedom, and 20% of the articles contained at least one p-value that was inconsistent to such a degree that it may have affected decisions about statistical significance. Overall, the probability that a given p-value was inconsistent was over 10%. Co-piloting was not found to be associated with reporting errors. PMID:25493918
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A methodological analysis of chaplaincy research: 2000-2009.
Galek, Kathleen; Flannelly, Kevin J; Jankowski, Katherine R B; Handzo, George F
2011-01-01
The present article presents a comprehensive review and analysis of quantitative research conducted in the United States on chaplaincy and closely related topics published between 2000 and 2009. A combined search strategy identified 49 quantitative studies in 13 journals. The analysis focuses on the methodological sophistication of the studies, compared to earlier research on chaplaincy and pastoral care. Cross-sectional surveys of convenience samples still dominate the field, but sample sizes have increased somewhat over the past three decades. Reporting of the validity and reliability of measures continues to be low, although reporting of response rates has improved. Improvements in the use of inferential statistics and statistical controls were also observed, compared to previous research. The authors conclude that more experimental research is needed on chaplaincy, along with an increased use of hypothesis testing, regardless of the research designs that are used.
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Fear of crime and its relationship to self-reported health and stress among men.
Macassa, Gloria; Winersjö, Rocio; Wijk, Katarina; McGrath, Cormac; Ahmadi, Nader; Soares, Joaquim
2017-12-13
Fear of crime is a growing social and public health problem globally, including in developed countries such as Sweden. This study investigated the impact of fear of crime on self-reported health and stress among men living in Gävleborg County. The study used data collected from 2993 men through a cross sectional survey in the 2014 Health in Equal Terms survey. Descriptive and logistic regression analyses were carried out to study the relationship between fear of crime and self-reported health and stress. There was a statistically significant association between fear of crime and self-reported poor health and stress among men residing in Gävleborg County. In the bivariate analysis, men who reported fear of crime had odds of 1.98 (CI 1.47-2.66) and 2.23 (CI 1.45-3.41) respectively. Adjusting for demographic, social and economic variables in the multivariate analysis only reduced the odds ratio for self-reported poor health to 1.52 (CI 1.05-2.21) but not for self-reported stress with odds of 2.22 (1.27-3.86). Fear of crime among men was statistically significantly associated with self-reported poor health and stress in Gävleborg County. However, the statistically significant relationship remained even after accounting for demographic, social and economic factors, which warrants further research to better understand the role played by other variables.
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NASA Astrophysics Data System (ADS)
Lamb, Derek A.
2016-10-01
While sunspots follow a well-defined pattern of emergence in space and time, small-scale flux emergence is assumed to occur randomly at all times in the quiet Sun. HMI's full-disk coverage, high cadence, spatial resolution, and duty cycle allow us to probe that basic assumption. Some case studies of emergence suggest that temporal clustering on spatial scales of 50-150 Mm may occur. If clustering is present, it could serve as a diagnostic of large-scale subsurface magnetic field structures. We present the results of a manual survey of small-scale flux emergence events over a short time period, and a statistical analysis addressing the question of whether these events show spatio-temporal behavior that is anything other than random.
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A longitudinal analysis of burnout in middle and high school Korean teachers.
Park, Yang Min; Lee, Sang Min
2013-12-01
This study examines longitudinal relationships among three burnout dimensions in middle and high school teachers. For this study, 419 middle and high school teachers participated in a panel survey, which was conducted in three waves. Using Amos 7.0, we performed autoregressive cross-lagged modeling to obtain a complete picture of the longitudinal relationships among the three factors of the Maslach Burnout Inventory-Educator Survey. Results indicated that the paths from emotional exhaustion at Time1 and Time2 to depersonalization at Time2 and Time3 were statistically significant. In addition, the paths from personal accomplishment at Time1 and Time2 to depersonalization at Time2 and Time3 were also statistically significant. Empirically identifying the process by which burnout occurs could help practitioners and policy makers to design burnout prevention strategies. Copyright © 2012 John Wiley & Sons, Ltd.
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NASA Astrophysics Data System (ADS)
Grafton, R. Quentin; Ward, Michael B.; To, Hang; Kompas, Tom
2011-08-01
Household survey data for 10 countries are used to quantify and test the importance of price and nonprice factors on residential water demand and investigate complementarities between household water-saving behaviors and the average volumetric price of water. Results show (1) the average volumetric price of water is an important predictor of differences in residential consumption in models that include household characteristics, water-saving devices, attitudinal characteristics and environmental concerns as explanatory variables; (2) of all water-saving devices, only a low volume/dual-flush toilet has a statistically significant and negative effect on water consumption; and (3) environmental concerns have a statistically significant effect on some self-reported water-saving behaviors. While price-based approaches are espoused to promote economic efficiency, our findings stress that volumetric water pricing is also one of the most effective policy levers available to regulate household water consumption.
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NASA Technical Reports Server (NTRS)
Djorgovski, S. George
1994-01-01
We developed a package to process and analyze the data from the digital version of the Second Palomar Sky Survey. This system, called SKICAT, incorporates the latest in machine learning and expert systems software technology, in order to classify the detected objects objectively and uniformly, and facilitate handling of the enormous data sets from digital sky surveys and other sources. The system provides a powerful, integrated environment for the manipulation and scientific investigation of catalogs from virtually any source. It serves three principal functions: image catalog construction, catalog management, and catalog analysis. Through use of the GID3* Decision Tree artificial induction software, SKICAT automates the process of classifying objects within CCD and digitized plate images. To exploit these catalogs, the system also provides tools to merge them into a large, complete database which may be easily queried and modified when new data or better methods of calibrating or classifying become available. The most innovative feature of SKICAT is the facility it provides to experiment with and apply the latest in machine learning technology to the tasks of catalog construction and analysis. SKICAT provides a unique environment for implementing these tools for any number of future scientific purposes. Initial scientific verification and performance tests have been made using galaxy counts and measurements of galaxy clustering from small subsets of the survey data, and a search for very high redshift quasars. All of the tests were successful, and produced new and interesting scientific results. Attachments to this report give detailed accounts of the technical aspects for multivariate statistical analysis of small and moderate-size data sets, called STATPROG. The package was tested extensively on a number of real scientific applications, and has produced real, published results.
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Zhu, Z.; Waller, E.
2003-01-01
Many countries periodically produce national reports on the status and changes of forest resources, using statistical surveys and spatial mapping of remotely sensed data. At the global level, the Food and Agriculture Organization (FAO) of the United Nations has conducted a Forest Resources Assessment (FRA) program every 10 yr since 1980, producing statistics and analysis that give a global synopsis of forest resources in the world. For the year 2000 of the FRA program (FRA2000), a global forest cover map was produced to provide spatial context to the extensive survey. The forest cover map, produced at the U.S. Geological Survey (USGS) EROS Data Center (EDC), has five classes: closed forest, open or fragmented forest, other wooded land, other land cover, and water. The first two forested classes at the global scale were delineated using combinations of temporal compositing, modified mixture analysis, geographic stratification, and other classification techniques. The remaining three FAO classes were derived primarily from the USGS global land cover characteristics database (Loveland et al. 1999). Validated on the basis of existing reference data sets, the map is estimated to be 77% accurate for the first four classes (no reference data were available for water), and 86% accurate for the forest and nonforest classification. The final map will be published as an insert to the FAO FRA2000 report.
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General aviation activity and avionics survey. Annual summary report, CY 1985
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
1987-03-01
This report presents the results and a description of the 1985 General Aviation Activity and Avionics Survey. The survey was conducted during 1986 by the FAA to obtain information on the activity and avionics of the United States registered general aviation aircraft fleet, the dominant component of civil aviation in the U.S. The survey was based on a statistically selected sample of about 10.3 percent of the general aviation fleet. A responses rate of 63.7 percent was obtained. Survey results based upon response but are expanded upward to represent the total population. Survey results revealed that during 1985 an estimatedmore » 34.1 million hours of flying time were logged and 88.7 million operations were performed by the 210,654 active general aviation aircraft in the U.S. fleet. The mean annual flight time per aircraft was 158.2 hours. The active aircraft represented about 77.9 percent of the registered general aviation fleet. The report contains breakdowns of these and other statistics by manufacturer/model group, aircraft, state and region of based aircraft, and primary use. Also included are fuel consumption, lifetime airframe hours, avionics, engine hours, and miles flown estimates, as well as tables for detailed analysis of the avionics capabilities of the general aviation fleet. New to the report this year are estimates of the number of landings, IFR hours flown, and the cost and grade of fuel consumed by the GA fleet.« less
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Nursing Homes Appeals of Deficiency Citations: The Informal Dispute Resolution Process
Mukamel, Dana B.; Weimer, David L.; Li, Yue; Bailey, Lauren; Spector, William D.; Harrington, Charlene
2012-01-01
Objective Nursing homes found to be not meeting quality standards are cited for deficiencies. Before 1995, their only recourse was a formal appeal process, which is lengthy and costly. In 1995, the Centers for Medicare & Medicaid Services (CMS) instituted the Informal Dispute Resolution (IDR) process. This study presents for the first time national statistics about the IDR process and an analysis of the factors that influence nursing homes’ decisions to request an IDR. Design Retrospective study including descriptive statistics and multivariate logistic hierarchical models. Setting U.S. nursing homes in 2005 to 2008. Participant 15,916 Medicaid and Medicare certified nursing homes nationally, with 94,188 surveys and 9,388 IDRs. Measures The unit of observation was an annual survey or a complaint survey that generated at least one deficiency. The dependent variable was dichotomous and indicated whether the annual or a complaint survey triggered an IDR request. Independent variables included characteristics of the nursing home, the deficiency, the market, and the state regulatory environment. Results Ten percent of all annual surveys and complaint surveys resulted in IDRs. There was substantial variation across states, which persisted over time. Multivariate results suggest that nursing homes’ decisions to request an IDR depend on their assessment of the probability of success and assessment of the benefits of the submission. Conclusions Nursing homes avail themselves of the IDR process. Their propensity to do so depends on a number of factors, including the state regulatory system and the market environment in which they operate. PMID:22402171
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ERIC Educational Resources Information Center
Center for Education Statistics (ED/OERI), Washington, DC.
The Financial Statistics machine-readable data file (MRDF) is a subfile of the larger Higher Education General Information Survey (HEGIS). It contains basic financial statistics for over 3,000 institutions of higher education in the United States and its territories. The data are arranged sequentially by institution, with institutional…
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Testing for independence in J×K contingency tables with complex sample survey data.
Lipsitz, Stuart R; Fitzmaurice, Garrett M; Sinha, Debajyoti; Hevelone, Nathanael; Giovannucci, Edward; Hu, Jim C
2015-09-01
The test of independence of row and column variables in a (J×K) contingency table is a widely used statistical test in many areas of application. For complex survey samples, use of the standard Pearson chi-squared test is inappropriate due to correlation among units within the same cluster. Rao and Scott (1981, Journal of the American Statistical Association 76, 221-230) proposed an approach in which the standard Pearson chi-squared statistic is multiplied by a design effect to adjust for the complex survey design. Unfortunately, this test fails to exist when one of the observed cell counts equals zero. Even with the large samples typical of many complex surveys, zero cell counts can occur for rare events, small domains, or contingency tables with a large number of cells. Here, we propose Wald and score test statistics for independence based on weighted least squares estimating equations. In contrast to the Rao-Scott test statistic, the proposed Wald and score test statistics always exist. In simulations, the score test is found to perform best with respect to type I error. The proposed method is motivated by, and applied to, post surgical complications data from the United States' Nationwide Inpatient Sample (NIS) complex survey of hospitals in 2008. © 2015, The International Biometric Society.
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A survey of tools for the analysis of quantitative PCR (qPCR) data.
Pabinger, Stephan; Rödiger, Stefan; Kriegner, Albert; Vierlinger, Klemens; Weinhäusel, Andreas
2014-09-01
Real-time quantitative polymerase-chain-reaction (qPCR) is a standard technique in most laboratories used for various applications in basic research. Analysis of qPCR data is a crucial part of the entire experiment, which has led to the development of a plethora of methods. The released tools either cover specific parts of the workflow or provide complete analysis solutions. Here, we surveyed 27 open-access software packages and tools for the analysis of qPCR data. The survey includes 8 Microsoft Windows, 5 web-based, 9 R-based and 5 tools from other platforms. Reviewed packages and tools support the analysis of different qPCR applications, such as RNA quantification, DNA methylation, genotyping, identification of copy number variations, and digital PCR. We report an overview of the functionality, features and specific requirements of the individual software tools, such as data exchange formats, availability of a graphical user interface, included procedures for graphical data presentation, and offered statistical methods. In addition, we provide an overview about quantification strategies, and report various applications of qPCR. Our comprehensive survey showed that most tools use their own file format and only a fraction of the currently existing tools support the standardized data exchange format RDML. To allow a more streamlined and comparable analysis of qPCR data, more vendors and tools need to adapt the standardized format to encourage the exchange of data between instrument software, analysis tools, and researchers.
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NATIONAL WATER INFORMATION SYSTEM OF THE U. S. GEOLOGICAL SURVEY.
Edwards, Melvin D.
1985-01-01
National Water Information System (NWIS) has been designed as an interactive, distributed data system. It will integrate the existing, diverse data-processing systems into a common system. It will also provide easier, more flexible use as well as more convenient access and expanded computing, dissemination, and data-analysis capabilities. The NWIS is being implemented as part of a Distributed Information System (DIS) being developed by the Survey's Water Resources Division. The NWIS will be implemented on each node of the distributed network for the local processing, storage, and dissemination of hydrologic data collected within the node's area of responsibility. The processor at each node will also be used to perform hydrologic modeling, statistical data analysis, text editing, and some administrative work.
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A review of small canned computer programs for survey research and demographic analysis.
Sinquefield, J C
1976-12-01
A variety of small canned computer programs for survey research and demographic analysis appropriate for use in developing countries are reviewed in this article. The programs discussed are SPSS (Statistical Package for the Social Sciences); CENTS, CO-CENTS, CENTS-AID, CENTS-AIE II; MINI-TAB EDIT, FREQUENCIES, TABLES, REGRESSION, CLIENT RECORD, DATES, MULT, LIFE, and PREGNANCY HISTORY; FIVFIV and SINSIN; DCL (Demographic Computer Library); MINI-TAB Population Projection, Functional Population Projection, and Family Planning Target Projection. A description and evaluation for each program of uses, instruction manuals, computer requirements, and procedures for obtaining manuals and programs are provided. Such information is intended to facilitate and encourage the use of the computer by data processors in developing countries.
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7 CFR 245.4 - Exceptions for Puerto Rico and the Virgin Islands.
Code of Federal Regulations, 2014 CFR
2014-01-01
... shall conduct a statistical survey once every three years in accordance with the standards provided by FNS; (b) State agencies shall submit the survey design to FNS for approval before proceeding with the... criteria. Instead, such State agencies may use a statistical survey to determine the number of children...
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7 CFR 245.4 - Exceptions for Puerto Rico and the Virgin Islands.
Code of Federal Regulations, 2010 CFR
2010-01-01
... shall conduct a statistical survey once every three years in accordance with the standards provided by FNS; (b) State agencies shall submit the survey design to FNS for approval before proceeding with the... criteria. Instead, such State agencies may use a statistical survey to determine the number of children...
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7 CFR 245.4 - Exceptions for Puerto Rico and the Virgin Islands.
Code of Federal Regulations, 2013 CFR
2013-01-01
... shall conduct a statistical survey once every three years in accordance with the standards provided by FNS; (b) State agencies shall submit the survey design to FNS for approval before proceeding with the... criteria. Instead, such State agencies may use a statistical survey to determine the number of children...
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7 CFR 245.4 - Exceptions for Puerto Rico and the Virgin Islands.
Code of Federal Regulations, 2012 CFR
2012-01-01
... shall conduct a statistical survey once every three years in accordance with the standards provided by FNS; (b) State agencies shall submit the survey design to FNS for approval before proceeding with the... criteria. Instead, such State agencies may use a statistical survey to determine the number of children...
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7 CFR 245.4 - Exceptions for Puerto Rico and the Virgin Islands.
Code of Federal Regulations, 2011 CFR
2011-01-01
... shall conduct a statistical survey once every three years in accordance with the standards provided by FNS; (b) State agencies shall submit the survey design to FNS for approval before proceeding with the... criteria. Instead, such State agencies may use a statistical survey to determine the number of children...
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Financial Statistics of Institutions of Higher Education: Fiscal Year 1979. State Data.
ERIC Educational Resources Information Center
Brandt, Norman J.
Financial statistics of institutions of higher education were surveyed. The 14th annual Higher Education General Information Survey (HEGIS XIV) was mailed to all institutions listed in the Educational Directory, Colleges and Universities, 1978-79. Completed survey forms were received from 2,909 institutions (91.7 percent). Data were imputed for…
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Survey of School Library Media Programs in Wisconsin. A Brief Report of Statistics, 1994.
ERIC Educational Resources Information Center
Sorensen, Richard J.
In 1994, the Wisconsin Department of Public Instruction repeated its 1988 survey of public school library media programs. Included in this report are statistics considered most significant, and those most often requested. The 147-item survey included questions about staffing, services, operation, automation, and facilities related to the library…
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Statistical Literacy and Sample Survey Results
ERIC Educational Resources Information Center
McAlevey, Lynn; Sullivan, Charles
2010-01-01
Sample surveys are widely used in the social sciences and business. The news media almost daily quote from them, yet they are widely misused. Using students with prior managerial experience embarking on an MBA course, we show that common sample survey results are misunderstood even by those managers who have previously done a statistics course. In…
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Asaba, Shinsuke; Hikage, Chiaki; Koyama, Kazuya
We perform a principal component analysis to assess ability of future observations to measure departures from General Relativity in predictions of the Poisson and anisotropy equations on linear scales. In particular, we focus on how the measurements of redshift-space distortions (RSD) observed from spectroscopic galaxy redshift surveys will improve the constraints when combined with lensing tomographic surveys. Assuming a Euclid-like galaxy imaging and redshift survey, we find that adding the 3D information decreases the statistical uncertainty by a factor between 3 and 7 compared to the case when only observables from lensing tomographic surveys are used. We also find thatmore » the number of well-constrained modes increases by a factor between 3 and 6. Our study indicates the importance of joint galaxy imaging and redshift surveys such as SuMIRe and Euclid to give more stringent tests of the ΛCDM model and to distinguish between various modified gravity and dark energy models.« less
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Childbearing Differences among Three Generations of U.S. Women
... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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2015 Workplace and Gender Relations Survey of Reserve Component Members: Tabulations of Responses
2016-03-17
Report 6. AUTHOR(S) DefenseResearch, Surveys,andStatistics Center (RSSC) 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Defense Manpower Data Center...2015 WORKPLACE AND GENDER RELATIONS SURVEY OF RESERVE COMPONENT MEMBERS: TABULATIONS OF RESPONSES Defense Manpower Data Center Defense Research...Surveys, and Statistics Center 4800 Mark Center Drive, Suite 04E25-01, Alexandria, VA 22350-4000 ii DMDC Acknowledgments The Defense Manpower Data
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ERIC Educational Resources Information Center
Guerra, Jorge
2012-01-01
The purpose of this research was to examine the relationship between teaching readiness and teaching excellence with three variables of preparedness of adjunct professors teaching career technical education courses through student surveys using a correlational design of two statistical techniques; least-squares regression and one-way analysis of…
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Integrating the statistical analysis of spatial data in ecology
A. M. Liebhold; J. Gurevitch
2002-01-01
In many areas of ecology there is an increasing emphasis on spatial relationships. Often ecologists are interested in new ways of analyzing data with the objective of quantifying spatial patterns, and in designing surveys and experiments in light of the recognition that there may be underlying spatial pattern in biotic responses. In doing so, ecologists have adopted a...
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Effects of Energy Needs and Expenditures on U.S. Public Schools. Statistical Analysis Report.
ERIC Educational Resources Information Center
Smith, Timothy; Porch, Rebecca; Farris, Elizabeth; Fowler, William
This report provides national estimates on energy needs and expenditures of U.S. public school districts. The survey provides estimates of Fiscal Year (FY) 2000 energy expenditures, FY 2001 energy budgets and expenditures, and FY 2002 energy budgets; methods used to cover energy budget shortfalls in FY 2001; and possible reasons for those…
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Public Concepts of the Values and Costs of Higher Education, 1963-1974. A Preliminary Analysis.
ERIC Educational Resources Information Center
Minor, Michael J.; Murray, James R.
Statistical data are presented on interviews conducted through the Continuous National Survey (CNS) at the National Opinion Research Center in Chicago and based on results reprinted from "Public Concepts of the Values and Costs of Higher Education," by Angus Campbell and William C. Eckerman. The CNS results presented in this report are…
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ERIC Educational Resources Information Center
Park, Hyeran; Nielsen, Wendy; Woodruff, Earl
2014-01-01
This study examined and compared students' understanding of nature of science (NOS) with 521 Grade 8 Canadian and Korean students using a mixed methods approach. The concepts of NOS were measured using a survey that had both quantitative and qualitative elements. Descriptive statistics and one-way multivariate analysis of variances examined the…
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An Analysis of Private School Closings
ERIC Educational Resources Information Center
Pandey, Lakshmi; Sjoquist, David L.; Walker, Mary Beth
2009-01-01
We add to the small literature on private school supply by exploring exits of K-12 private schools. We find that the closure of private schools is not an infrequent event and use national survey data from the National Center for Education Statistics to study closures of private schools. We assume that the probability of an exit is a function of…
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Effect of Changes in Sleep Quantity and Quality on Depressive Symptoms among Korean Children
ERIC Educational Resources Information Center
Lee, Joo Eun; Park, Sohee; Nam, Jin-Young; Ju, Young Jun; Park, Eun-Cheol
2017-01-01
This study aims to determine whether changes in sleep quantity and quality in childhood are associated with incidence of depressive symptoms. We used the three waves of the Korean Children & Youth Panel Survey (2011-2013). Statistical analysis using a generalized estimating equation model was performed. The 2,605 subjects analyzed included…
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Toward Theological Inclusivism: The Effects of a World Religions Course in a Mormon University
ERIC Educational Resources Information Center
Properzi, Mauro
2017-01-01
Inclusivist, exclusivist, and pluralist attitudes toward other religions interact in complex ways within the Mormon faith. Hence, a course on the world's religions at LDS-sponsored Brigham Young University presents an interesting case study in this context. Through survey data and statistical analysis this article attempts to examine the effect of…
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School Experience as a Potential Determinant of Post-Compulsory Participation
ERIC Educational Resources Information Center
Gorard, Stephen
2010-01-01
This paper considers the views of young people aged 14-16 about their future education, training and occupation. It is based on a study of around 3000 year 11 pupils in 45 educational settings in England during 2007/2008, supplemented by documentary analysis, official statistics, and interviews and surveys with staff and parents. Pupil-reported…
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How Can We Enhance Enjoyment of Secondary School? The Student View
ERIC Educational Resources Information Center
Gorard, Stephen; See, Beng Huat
2011-01-01
This paper considers enjoyment of formal education for young people aged 14 to 16, largely from their own perspective, based on the view of around 3000 students in England. The data include documentary analysis, official statistics, interviews and surveys with staff and students. Enjoyment of school tends to be promoted by factors such as…
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Data Needs for Labor Market Analysis. Background Paper No. 44.
ERIC Educational Resources Information Center
Horrigan, Michael W.
Opinions on how the Bureau of Labor Statistics (BLS) can better meet the data needs of users of government-provided labor market data were sought from users inside and outside government. The following recommendations, among others, are based on those opinions: (1) create a quick-response household survey capability at the BLS, using random digit…
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ERIC Educational Resources Information Center
Kleiner, Brian; Thomas, Nina; Lewis, Laurie
2007-01-01
This report presents findings from a 2006 national survey of all Title IV degree-granting 4- year postsecondary institutions on how teacher candidates within teacher education programs for initial licensure are being prepared to use educational technology once they enter the field. The "Educational Technology in Teacher Education Programs…
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ERIC Educational Resources Information Center
Aderibigbe, Semiyu Adejare; Ajasa, Folorunso Adekemi
2013-01-01
Purpose: The purpose of this paper is to explore the perceptions of college tutors on peer coaching as a tool for professional development to determine its formal institutionalisation. Design/methodology/approach: A survey questionnaire was used for data collection, while analysis of data was done using descriptive statistics. Findings: The…
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The Effect of Automobile Safety on Vehicle Type Choice: An Empirical Study.
ERIC Educational Resources Information Center
McCarthy, Patrick S.
An analysis was made of the extent to which the safety characteristics of new vehicles affect consumer purchase decisions. Using an extensive data set that combines vehicle data collected by the Automobile Club of Southern California Target Car Program with the responses from a national household survey of new car buyers, a statistical model of…
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The House System: Evaluating Its Role in the Experience of Business Students
ERIC Educational Resources Information Center
Antoniadou, Marilena
2017-01-01
This paper presents a case study of students' experiences of the House system, an innovative scheme introduced for business students, aiming to enhance student experience. The findings are based on a survey of 350 students and 4 group interviews. Analysis of the findings, both statistical and qualitative, indicated perceived clear benefits for the…
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School-to-Work Transition and After: Do Inequalities between the Sexes Defy Diplomas?
ERIC Educational Resources Information Center
Couppie, Thomas; Epiphane, Dominique; Fournier, Christine
1997-01-01
Sex-related differences between the employment opportunities available in France to males and females with comparable levels of education were examined through an analysis of data from two types of sources: statistics derived from quantitative surveys conducted on broad samples of graduates 2-4 years after the end of their training and in-depth…
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Geographic analysis of forest health indicators using spatial scan statistics
John W. Coulston; Kurt H. Riitters
2003-01-01
Forest health analysts seek to define the location, extent, and magnitude of changes in forest ecosystems, to explain the observed changes when possible, and to draw attention to the unexplained changes for further investigation. The data come from a variety of sources including satellite images, field plot measurements, and low-altitude aerial surveys. Indicators...
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2013-01-01
present analysis we draw on aspects of the Andersen Behavioral Model,21 particularly need characteristics (e.g., mental health), as determinants of...converted to number of years ago. Number of years since last VA use was grouped into five-year increments. Statistical Analysis The analytic sample was...healthcare several decades ago. A limitation of our study is that recollections about the decision to discontinue VA care are subject to recall bias
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Validation of a Survey Questionnaire on Organ Donation: An Arabic World Scenario
Agarwal, Tulika Mehta; Al-Thani, Hassan; Al Maslamani, Yousuf
2018-01-01
Objective To validate a questionnaire for measuring factors influencing organ donation and transplant. Methods The constructed questionnaire was based on the theory of planned behavior by Ajzen Icek and had 45 questions including general inquiry and demographic information. Four experts on the topic, Arabic culture, and the Arabic and English languages established content validity through review. It was quantified by content validity index (CVI). Construct validity was established by principal component analysis (PCA), whereas internal consistency was checked by Cronbach's Alpha and intraclass correlation coefficient (ICC). Statistical analysis was performed by SPSS 22.0 statistical package. Results Content validity in the form of S-CVI/Average and S-CVI/UA was 0.95 and 0.82, respectively, suggesting adequate relevance content of the questionnaire. Factor analysis indicated that the construct validity for each domain (knowledge, attitudes, beliefs, and intention) was 65%, 71%, 77%, and 70%, respectively. Cronbach's Alpha and ICC coefficients were 0.90, 0.67, 0.75, and 0.74 and 0.82, 0.58, 0.61, and 0.74, respectively, for the domains. Conclusion The questionnaire consists of 39 items on knowledge, attitudes, beliefs, and intention domains which is valid and reliable tool to use for organ donation and transplant survey. PMID:29593894
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75 Years of Mortality in the United States, 1935-2010
... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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Caloric Intake from Fast Food among Adults: United States, 2007-2010
... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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The Southampton-York Natural Scenes (SYNS) dataset: Statistics of surface attitude
Adams, Wendy J.; Elder, James H.; Graf, Erich W.; Leyland, Julian; Lugtigheid, Arthur J.; Muryy, Alexander
2016-01-01
Recovering 3D scenes from 2D images is an under-constrained task; optimal estimation depends upon knowledge of the underlying scene statistics. Here we introduce the Southampton-York Natural Scenes dataset (SYNS: https://syns.soton.ac.uk), which provides comprehensive scene statistics useful for understanding biological vision and for improving machine vision systems. In order to capture the diversity of environments that humans encounter, scenes were surveyed at random locations within 25 indoor and outdoor categories. Each survey includes (i) spherical LiDAR range data (ii) high-dynamic range spherical imagery and (iii) a panorama of stereo image pairs. We envisage many uses for the dataset and present one example: an analysis of surface attitude statistics, conditioned on scene category and viewing elevation. Surface normals were estimated using a novel adaptive scale selection algorithm. Across categories, surface attitude below the horizon is dominated by the ground plane (0° tilt). Near the horizon, probability density is elevated at 90°/270° tilt due to vertical surfaces (trees, walls). Above the horizon, probability density is elevated near 0° slant due to overhead structure such as ceilings and leaf canopies. These structural regularities represent potentially useful prior assumptions for human and machine observers, and may predict human biases in perceived surface attitude. PMID:27782103
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Rughiniș, Cosima; Humă, Bogdana
2015-12-01
In this paper we argue that quantitative survey-based social research essentializes age, through specific rhetorical tools. We outline the device of 'socio-demographic variables' and we discuss its argumentative functions, looking at scientific survey-based analyses of adult scientific literacy, in the Public Understanding of Science research field. 'Socio-demographics' are virtually omnipresent in survey literature: they are, as a rule, used and discussed as bundles of independent variables, requiring little, if any, theoretical and measurement attention. 'Socio-demographics' are rhetorically effective through their common-sense richness of meaning and inferential power. We identify their main argumentation functions as 'structure building', 'pacification', and 'purification'. Socio-demographics are used to uphold causal vocabularies, supporting the transmutation of the descriptive statistical jargon of 'effects' and 'explained variance' into 'explanatory factors'. Age can also be studied statistically as a main variable of interest, through the age-period-cohort (APC) disambiguation technique. While this approach has generated interesting findings, it did not mitigate the reductionism that appears when treating age as a socio-demographic variable. By working with age as a 'socio-demographic variable', quantitative researchers convert it (inadvertently) into a quasi-biological feature, symmetrical, as regards analytical treatment, with pathogens in epidemiological research. Copyright © 2015 Elsevier Inc. All rights reserved.
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Hagen, Inger Hilde; Svindseth, Marit Følsvik; Nesset, Erik; Orner, Roderick; Iversen, Valentina Cabral
2018-03-27
The experience of having their new-borns admitted to an intensive care unit (NICU) can be extremely distressing. Subsequent risk of post-incident-adjustment difficulties are increased for parents, siblings, and affected families. Patient and next of kin satisfaction surveys provide key indicators of quality in health care. Methodically constructed and validated survey tools are in short supply and parents' experiences of care in Neonatal Intensive Care Units is under-researched. This paper reports a validation of the Neonatal Satisfaction Survey (NSS-8) in six Norwegian NICUs. Parents' survey returns were collected using the Neonatal Satisfaction Survey (NSS-13). Data quality and psychometric properties were systematically assessed using exploratory factor analysis, tests of internal consistency, reliability, construct, convergent and discriminant validity. Each set of hospital returns were subjected to an apostasy analysis before an overall satisfaction rate was calculated. The survey sample of 568 parents represents 45% of total eligible population for the period of the study. Missing data accounted for 1,1% of all returns. Attrition analysis shows congruence between sample and total population. Exploratory factor analysis identified eight factors of concern to parents,"Care and Treatment", "Doctors", "Visits", "Information", "Facilities", "Parents' Anxiety", "Discharge" and "Sibling Visits". All factors showed satisfactory internal consistency, good reliability (Cronbach's alpha ranged from 0.70-0.94). For the whole scale of 51 items α 0.95. Convergent validity using Spearman's rank between the eight factors and question measuring overall satisfaction was significant on all factors. Discriminant validity was established for all factors. Overall satisfaction rates ranged from 86 to 90% while for each of the eight factors measures of satisfaction varied between 64 and 86%. The NSS-8 questionnaire is a valid and reliable scale for measuring parents' assessment of quality of care in NICU. Statistical analysis confirms the instrument's capacity to gauge parents' experiences of NICU. Further research is indicated to validate the survey questionnaire in other Nordic countries and beyond.
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ERIC Educational Resources Information Center
Lesser, Lawrence M.; Wall, Amitra A.; Carver, Robert H.; Pearl, Dennis K.; Martin, Nadia; Kuiper, Shonda; Posner, Michael A.; Erickson, Patricia; Liao, Shu-Min; Albert, Jim; Weber, John J., III
2013-01-01
This study examines statistics instructors' use of fun as well as their motivations, hesitations, and awareness of resources. In 2011, a survey was administered to attendees at a national statistics education conference, and follow-up qualitative interviews were conducted with 16 of those ("N" = 249) surveyed to provide further…
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ERIC Educational Resources Information Center
Thebaud, Schiller
This report examines four UNESCO pilot projects undertaken in 1972 in Brazil, Colombia, Peru, and Uruguay to study the methods used for national statistical surveys of science and technology. The projects specifically addressed the problems of comparing statistics gathered by different methods in different countries. Surveys carried out in Latin…
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Statistics in the Workplace: A Survey of Use by Recent Graduates with Higher Degrees
ERIC Educational Resources Information Center
Harraway, John A.; Barker, Richard J.
2005-01-01
A postal survey was conducted regarding statistical techniques, research methods and software used in the workplace by 913 graduates with PhD and Masters degrees in the biological sciences, psychology, business, economics, and statistics. The study identified gaps between topics and techniques learned at university and those used in the workplace,…
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ERIC Educational Resources Information Center
Bailey, Thomas; Jenkins, Davis; Leinbach, Timothy
2005-01-01
This report summarizes the latest available national statistics on access and attainment by low income and minority community college students. The data come from the National Center for Education Statistics' (NCES) Integrated Postsecondary Education Data System (IPEDS) annual surveys of all postsecondary educational institutions and the NCES…
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Use of cultural consensus analysis to evaluate expert feedback of median safety.
Kim, Tae-Gyu; Donnell, Eric T; Lee, Dongmin
2008-07-01
Cultural consensus analysis is a statistical method that can be used to assess participant responses to survey questions. The technique concurrently estimates the knowledge of each survey participant and estimates the culturally correct answer to each question asked, based on the existence of consensus among survey participants. The main objectives of this paper are to present the cultural consensus methodology and apply it to a set of median design and safety survey data that were collected using the Delphi method. A total of 21 Delphi survey participants were asked to answer research questions related to cross-median crashes. It was found that the Delphi panel had agreeable opinions with respect to the association of average daily traffic (ADT) and heavy vehicle percentage combination on the risk of cross-median crashes; relative importance of additional factors, other than ADT, median width, and crash history that may contribute to cross-median crashes; and, the relative importance of geometric factors that may be associated with the likelihood of cross-median crashes. Therefore, the findings from the cultural consensus analysis indicate that the expert panel selected to participate in the Delphi survey shared a common knowledge pool relative to the association between median design and safety. There were, however, diverse opinions regarding median barrier type and its preferred placement location. The panel showed a higher level of knowledge on the relative importance regarding the association of geometric factors on cross-median crashes likelihood than on other issues considered. The results of the cultural consensus analysis of the present median design and safety survey data could be used to design a focused field study of median safety.
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Trends in Out-of-Hospital Births in the United States, 1990-2012
... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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State Variability in Supply of Office-based Primary Care Providers: United States, 2012
... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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Emergency Department Visits by Persons Aged 65 and Over: United States, 2009-2010
... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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Forest statistics for Maine: 1971 and 1982
Douglas S. Powell; David R. Dickson
1984-01-01
A statistical report on the third forest survey of Maine (1982) and reprocessed data from the second survey (1971). Results of the surveys are displayed in a 169 tables containing estimates of forest and timberland area, numbers of trees, timber volume, tree biomass, timber products output, and components of average annual net change in growing-stock volume for the...
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2015-10-01
Recommendations ······················································ 7 The Significance of Statistics ...further analysis and documentation in metrics in future surveys. This statistic , alone, in a public military report is enough to warrant an inquiry into...3 It is unknown how many of the total reported sexual assaults involved alcohol use. Other statistical reports indicate 32% of males in the
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Best Phd thesis Prize: Statistical analysis of ALFALFA galaxies: insights in galaxy
NASA Astrophysics Data System (ADS)
Papastergis, E.
2013-09-01
We use the rich dataset of local universe galaxies detected by the ALFALFA 21cm survey to study the statistical properties of gas-bearing galaxies. In particular, we measure the number density of galaxies as a function of their baryonic mass ("baryonic mass function") and rotational velocity ("velocity width function"), and we characterize their clustering properties ("two-point correlation function"). These statistical distributions are determined by both the properties of dark matter on small scales, as well as by the complex baryonic processes through which galaxies form over cosmic time. We interpret the ALFALFA measurements with the aid of publicly available cosmological N-body simulations and we present some key results related to galaxy formation and small-scale cosmology.
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Constructing and Modifying Sequence Statistics for relevent Using informR in 𝖱
Marcum, Christopher Steven; Butts, Carter T.
2015-01-01
The informR package greatly simplifies the analysis of complex event histories in 𝖱 by providing user friendly tools to build sufficient statistics for the relevent package. Historically, building sufficient statistics to model event sequences (of the form a→b) using the egocentric generalization of Butts’ (2008) relational event framework for modeling social action has been cumbersome. The informR package simplifies the construction of the complex list of arrays needed by the rem() model fitting for a variety of cases involving egocentric event data, multiple event types, and/or support constraints. This paper introduces these tools using examples from real data extracted from the American Time Use Survey. PMID:26185488
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2017-01-01
Purpose This study is aimed at identifying the relationships between medical school students’ academic burnout, empathy, and calling, and determining whether their calling has a mediating effect on the relationship between academic burnout and empathy. Methods A mixed method study was conducted. One hundred twenty-seven medical students completed a survey. Scales measuring academic burnout, medical students’ empathy, and calling were utilized. For statistical analysis, correlation analysis, descriptive statistics analysis, and hierarchical multiple regression analyses were conducted. For qualitative approach, eight medical students participated in a focus group interview. Results The study found that empathy has a statistically significant, negative correlation with academic burnout, while having a significant, positive correlation with calling. Sense of calling proved to be an effective mediator of the relationship between academic burnout and empathy. Conclusion This result demonstrates that calling is a key variable that mediates the relationship between medical students’ academic burnout and empathy. As such, this study provides baseline data for an education that could improve medical students’ empathy skills. PMID:28870019
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Selected Streamflow Statistics for Streamgaging Stations in Delaware, 2003
Ries, Kernell G.
2004-01-01
Flow-duration and low-flow frequency statistics were calculated for 15 streamgaging stations in Delaware, in cooperation with the Delaware Geological Survey. The flow-duration statistics include the 1-, 2-, 5-, 10-, 20-, 30-, 40-, 50-, 60-, 70-, 80-, 90-, 95-, 98-, and 99-percent duration discharges. The low-flow frequency statistics include the average discharges for 1, 7, 14, 30, 60, 90, and 120 days that recur, on average, once in 1.01, 2, 5, 10, 20, 50, and 100 years. The statistics were computed using U.S. Geological Survey computer programs that can be downloaded from the World Wide Web at no cost. The computer programs automate standard U.S. Geological Survey methods for computing the statistics. Documentation is provided at the Web sites for the individual programs. The computed statistics are presented in tabular format on a separate page for each station, along with the station name, station number, the location, the period of record, and remarks.
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Oregon ground-water quality and its relation to hydrogeological factors; a statistical approach
Miller, T.L.; Gonthier, J.B.
1984-01-01
An appraisal of Oregon ground-water quality was made using existing data accessible through the U.S. Geological Survey computer system. The data available for about 1,000 sites were separated by aquifer units and hydrologic units. Selected statistical moments were described for 19 constituents including major ions. About 96 percent of all sites in the data base were sampled only once. The sample data were classified by aquifer unit and hydrologic unit and analysis of variance was run to determine if significant differences exist between the units within each of these two classifications for the same 19 constituents on which statistical moments were determined. Results of the analysis of variance indicated both classification variables performed about the same, but aquifer unit did provide more separation for some constituents. Samples from the Rogue River basin were classified by location within the flow system and type of flow system. The samples were then analyzed using analysis of variance on 14 constituents to determine if there were significant differences between subsets classified by flow path. Results of this analysis were not definitive, but classification as to the type of flow system did indicate potential for segregating water-quality data into distinct subsets. (USGS)
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The Ultraviolet Sky: classification and properties of UV sources from the GALEX surveys
NASA Astrophysics Data System (ADS)
Bianchi, L.; Rodriguez, L.; Herald, J.; Efremova, B.; GALEX Team
2005-12-01
We use UV imaging data from the GALEX (Galaxy Evolution Explorer) surveys, matched to other surveys at longer wavelengths, to classify sources and infer their physical parameters by comparing their measured UV - optical - IR colors to model colors. Our results significantly increase the statistics of some classes of astrophysical objects, such as Milky Way (MW) hot stars and low-redshift QSOs, and provide an unprecedented census of White Dwarfs in the MW. Results from follow-up spectroscopy of UV-selected sources are also presented. (see http://dolomiti.pha.jhu.edu for details ) We gratefully acknowledge NASA's support for construction, operation and data analysis of the GALEX mission, developed in cooperation with the French CNES and Korean Ministry of Science and Technology.
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NASA Astrophysics Data System (ADS)
Ferrero, A. M.; Migliazza, M.; Roncella, R.; Segalini, A.
2011-02-01
The town of Campione del Garda (located on the west coast of Lake Garda) and its access road have been historically subject to rockfall phenomena with risk for public security in several areas of the coast. This paper presents a study devoted to the determination of risk for coastal cliffs and the design of mitigation measures. Our study was based on statistical rockfall analysis performed with a commercial code and on stability analysis of rock slopes based on the key block method. Hazard from block kinematics and rock-slope failure are coupled by applying the Rockfall Hazard Assessment Procedure (RHAP). Because of the huge dimensions of the slope, its morphology and the geostructural survey were particularly complicated and demanding. For these reasons, noncontact measurement methods, based on aerial photogrammetry by helicopter, were adopted. A special software program, developed by the authors, was applied for discontinuity identification and for their orientation measurements. The potentially of aerial photogrammetic survey in rock mechanic application and its improvement in the rock mass knowledge is analysed in the article.
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Multiple Chronic Conditions among Adults Aged 45 and Over: Trends Over the Past 10 Years
... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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NASA Astrophysics Data System (ADS)
Lawler, Samantha M.; Kavelaars, J. J.; Alexandersen, Mike; Bannister, Michele T.; Gladman, Brett; Petit, Jean-Marc; Shankman, Cory
2018-05-01
All surveys include observational biases, which makes it impossible to directly compare properties of discovered trans-Neptunian Objects (TNOs) with dynamical models. However, by carefully keeping track of survey pointings on the sky, detection limits, tracking fractions, and rate cuts, the biases from a survey can be modelled in Survey Simulator software. A Survey Simulator takes an intrinsic orbital model (from, for example, the output of a dynamical Kuiper belt emplacement simulation) and applies the survey biases, so that the biased simulated objects can be directly compared with real discoveries. This methodology has been used with great success in the Outer Solar System Origins Survey (OSSOS) and its predecessor surveys. In this chapter, we give four examples of ways to use the OSSOS Survey Simulator to gain knowledge about the true structure of the Kuiper Belt. We demonstrate how to statistically compare different dynamical model outputs with real TNO discoveries, how to quantify detection biases within a TNO population, how to measure intrinsic population sizes, and how to use upper limits from non-detections. We hope this will provide a framework for dynamical modellers to statistically test the validity of their models.
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Kinter, Elizabeth T; Prior, Thomas J; Carswell, Christopher I; Bridges, John F P
2012-01-01
While the application of conjoint analysis and discrete-choice experiments in health are now widely accepted, a healthy debate exists around competing approaches to experimental design. There remains, however, a paucity of experimental evidence comparing competing design approaches and their impact on the application of these methods in patient-centered outcomes research. Our objectives were to directly compare the choice-model parameters and predictions of an orthogonal and a D-efficient experimental design using a randomized trial (i.e., an experiment on experiments) within an application of conjoint analysis studying patient-centered outcomes among outpatients diagnosed with schizophrenia in Germany. Outpatients diagnosed with schizophrenia were surveyed and randomized to receive choice tasks developed using either an orthogonal or a D-efficient experimental design. The choice tasks elicited judgments from the respondents as to which of two patient profiles (varying across seven outcomes and process attributes) was preferable from their own perspective. The results from the two survey designs were analyzed using the multinomial logit model, and the resulting parameter estimates and their robust standard errors were compared across the two arms of the study (i.e., the orthogonal and D-efficient designs). The predictive performances of the two resulting models were also compared by computing their percentage of survey responses classified correctly, and the potential for variation in scale between the two designs of the experiments was tested statistically and explored graphically. The results of the two models were statistically identical. No difference was found using an overall chi-squared test of equality for the seven parameters (p = 0.69) or via uncorrected pairwise comparisons of the parameter estimates (p-values ranged from 0.30 to 0.98). The D-efficient design resulted in directionally smaller standard errors for six of the seven parameters, of which only two were statistically significant, and no differences were found in the observed D-efficiencies of their standard errors (p = 0.62). The D-efficient design resulted in poorer predictive performance, but this was not significant (p = 0.73); there was some evidence that the parameters of the D-efficient design were biased marginally towards the null. While no statistical difference in scale was detected between the two designs (p = 0.74), the D-efficient design had a higher relative scale (1.06). This could be observed when the parameters were explored graphically, as the D-efficient parameters were lower. Our results indicate that orthogonal and D-efficient experimental designs have produced results that are statistically equivalent. This said, we have identified several qualitative findings that speak to the potential differences in these results that may have been statistically identified in a larger sample. While more comparative studies focused on the statistical efficiency of competing design strategies are needed, a more pressing research problem is to document the impact the experimental design has on respondent efficiency.
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A bayesian approach to classification criteria for spectacled eiders
Taylor, B.L.; Wade, P.R.; Stehn, R.A.; Cochrane, J.F.
1996-01-01
To facilitate decisions to classify species according to risk of extinction, we used Bayesian methods to analyze trend data for the Spectacled Eider, an arctic sea duck. Trend data from three independent surveys of the Yukon-Kuskokwim Delta were analyzed individually and in combination to yield posterior distributions for population growth rates. We used classification criteria developed by the recovery team for Spectacled Eiders that seek to equalize errors of under- or overprotecting the species. We conducted both a Bayesian decision analysis and a frequentist (classical statistical inference) decision analysis. Bayesian decision analyses are computationally easier, yield basically the same results, and yield results that are easier to explain to nonscientists. With the exception of the aerial survey analysis of the 10 most recent years, both Bayesian and frequentist methods indicated that an endangered classification is warranted. The discrepancy between surveys warrants further research. Although the trend data are abundance indices, we used a preliminary estimate of absolute abundance to demonstrate how to calculate extinction distributions using the joint probability distributions for population growth rate and variance in growth rate generated by the Bayesian analysis. Recent apparent increases in abundance highlight the need for models that apply to declining and then recovering species.
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Kawano, Noriyuki; Ohtaki, Megu
2006-02-01
The main objective of this paper is to identify salient experiences of those who were exposed to radiation by the nuclear tests at the Semipalatinsk Nuclear Tests Site (SNTS). In 2002, our research team of the Research Institute for Radiation Biology and Medicine, Hiroshima University, started to conduct some field research by means of a questionnaire survey. Through this, we expected to examine the health condition of the residents near the SNTS, identify their experiences from the nuclear tests, and understand the exposure path. This attempt at clarifying the reality of radiation exposure at Semipalatinsk through the use of a survey research method is the first of its kind. Among the responses to our survey, the present paper focuses mainly upon responses to the questions concerning the experiences of the nuclear tests. It deals mainly with direct experiences of nuclear tests of the residents characteristic to Semipalatinsk, including some new experiences hitherto unnoticed. The present paper touches upon their concrete direct experiences of flash, bomb blast, heat, rain and dust. We also discuss distinct experiences in Semipalatinsk such as evacuation, through the additional use of their testimonies. The data have been compared with the results obtained in a similar survey made in Hiroshima and Nagasaki. For the data analysis, a statistical method called logistic multiple linear regression analysis has been used.
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Education Career Ladder, AFSC 751X0. Volume II.
1981-02-01
the functions listed in both documents, such as: testing; counseling; conducting educational surveys; collecting and analyzing statistical data; and...Inventory Development The instrument used for data collection for the occupational survey was USAF Job Inventory AFPT 90-751-408. As a starting point, the...testing; preparing, conducting, or evaluating educrtional surveys; collecting and analyzing statistical data; or organizing group study classes. This
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Forest resource statistics for the Monongahela National Forest: 2000
Richard H. Widmann; Douglas M. Griffith
2004-01-01
During 1999-2000, the fifth inventory of West Virginia?s forest resources was conducted by the Forest Inventory and Analysis unit of the USDA Forest Service?s Northeastern Research Station. The survey included a subsample within the Monongahela National Forest (MNF). The results showed that the MNF contains 899,000 acres of forest land, or 7.5 percent of the State?s...
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Trends in the Use of School Choice: 1993 to 2007. Statistical Analysis Report. NCES 2010-004
ERIC Educational Resources Information Center
Grady, Sarah; Bielick, Stacey; Aud, Susan
2010-01-01
This report updates two previous reports: "Trends in the Use of School Choice: 1993 to 1999" (Bielick and Chapman 2003) and "Trends in the Use of School Choice: 1993 to 2003" (Tice et al. 2006). Using data from the National Household Education Survey (NHES) of the U.S. Department of Education's National Center for Education…
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"Hold the Phone!": Cell Phone Use and Partner Reaction among University Students
ERIC Educational Resources Information Center
Beaver, Tiffany; Knox, David; Zusman, Marty E.
2010-01-01
Analysis of survey data from 995 undergraduates at a large southeastern university revealed that 93% reported owning a cell phone and a statistically significant difference between women and men (95% versus 91.2%) and between Whites (95.1%) and Blacks (87.7%). In addition, Blacks were twice as likely as Whites to be bothered by their partner's use…
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Trends in the Use of School Choice, 1993 to 2003. Statistical Analysis Report. NCES 2007-045
ERIC Educational Resources Information Center
Tice, Peter; Chapman, Christopher; Princiotta, Daniel; Bielick, Stacey
2006-01-01
Opportunities for school choice in the United States have expanded since the 1990s. This report uses data from the National Household Surveys Program (NHES) to present trends that focus on the use of and users of public schools (assigned and chosen), private schools (church-and nonchurch-related), and homeschoolers between 1993 and 2003. The…
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NASA Technical Reports Server (NTRS)
1980-01-01
An area around the Munich-Riem airport was divided into 32 clusters of different noise exposure and subjects were drawn from each cluster for a social survey and for psychological, medical, and physiological testing. Extensive acoustical measurements were also carried out in each cluster. The results were then subjected to detailed statistical analysis.
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S.C. Hagen; B.H. Braswell; E. Linder; S. Frolking; A.D. Richardson; David Hollinger. D.Y; Hollinger. D.Y
2006-01-01
We present an uncertainty analysis of gross ecosystem carbon exchange (GEE) estimates derived from 7 years of continuous eddy covariance measurements of forest atmosphere CO2 fluxes at Howland Forest, Maine, USA. These data, which have high temporal resolution, can be used to validate process modeling analyses, remote sensing assessments, and field surveys. However,...
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Illinois Trauma Centers and Intimate Partner Violence: Are We Doing Our Share?
ERIC Educational Resources Information Center
Crandall, Marie; Schwab, Jennifer; Sheehan, Karen; Esposito, Thomas
2009-01-01
Intimate partner violence (IPV) is a major source of morbidity and mortality nationally. Trauma Centers can be very helpful for victims of IPV but there may be variability in IPV resource provision. A survey was mailed to each of the 65 Trauma Centers in Illinois. Stata and EZ-Text statistical software were used for analysis. Eighty-three percent…
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Nathaniel E. Seavy; Suhel Quader; John D. Alexander; C. John Ralph
2005-01-01
The success of avian monitoring programs to effectively guide management decisions requires that studies be efficiently designed and data be properly analyzed. A complicating factor is that point count surveys often generate data with non-normal distributional properties. In this paper we review methods of dealing with deviations from normal assumptions, and we focus...
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ERIC Educational Resources Information Center
Terasawa, Takunori
2018-01-01
This paper aims to establish that globalised social and linguistic changes have a more complicated impact on local behaviours and attitudes than is believed. Based on statistical analysis of nationally representative surveys in Japan, the paper presents evidence against the following two propositions: (1) globalisation increases local demand for…
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Issues with PISA's Use of Its Data in the Context of International Education Policy Convergence
ERIC Educational Resources Information Center
Murphy, Dan
2014-01-01
In its analysis of data it collected in 2006, the Programme for International Student Assessment (PISA) survey by the Organisation for Economic Co-operation and Development (OECD) used a variety of statistical methods to arrive at the 'key findings' that school autonomy, school competition and the public posting of student achievement data were…
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The Physical and the Virtual: The Relationship between Library as Place and Electronic Collections
ERIC Educational Resources Information Center
Gerke, Jennifer; Maness, Jack M.
2010-01-01
A statistical analysis of responses to a LibQUAL+™ survey at the University of Colorado at Boulder (UCB) was conducted to investigate factors related to patrons' satisfaction with electronic collections. It was found that a respondent's discipline was not related to his or her satisfaction with the Libraries' electronic collection, nor was the…
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ERIC Educational Resources Information Center
Blake-Beard, Stacy D.
1999-01-01
A survey of business graduates (154 white women and 41 black women) investigated the impact of race on mentoring and career success for women. Results indicated no statistical difference in the amount of mentoring reported by black or white respondents. (Author/JOW)
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Brayer, Aneta; Marcinowicz, Ludmila
2018-04-03
Understanding the issue of job satisfaction of nurses with master of nursing degrees may help develop organisational changes necessary for better functioning of health care institutions. This study aimed to evaluate the level of job satisfaction among holders of Masters of Nursing degrees employed at health care institutions and to ascertain its determinants. The cross-sectional study was carried out in randomly selected health care institutions in Poland using the Misener Nurse Practitioner Job Satisfaction Survey and an original survey questionnaire with two open-ended questions. Quantitative data were analysed using descriptive and summary statistics. The participants gave highest satisfaction ratings to their relationships with direct superiors and other nurses, as well as their social contacts at work. The lowest ratings were given to the pension scheme and factors connected with remuneration. A highly statistically significant relationship was found between the job classification and the level of professional satisfaction (p < 0.001). Qualitative analysis of responses to the two open-ended questions supported Herzberg's Two-Factor theory: internal factors promoted satisfaction, whilst external ones caused dissatisfaction. Managers of nurses should strengthen the areas that contribute to higher employee satisfaction, particularly interpersonal relationships, by commendation and recognition of work effects.
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Nelson, Sarah E.; LaBrie, Richard A.; Shaffer, Howard J.
2011-01-01
Background: The purpose of this study was to examine the relationships between types of gambling and disordered gambling, with and without controlling for gambling involvement (i.e. the number of types of games with which respondents were involved during the past 12 months). Methods: We completed a secondary data analysis of the 2007 British Gambling Prevalence Survey (BGPS), which collected data in England, Scotland and Wales between September 2006 and March 2007. The sample included 9003 residents, aged 16 or older, recruited from 10 144 randomly selected addresses. 5832 households contributed at least one participant. Post-facto weighting to produce a nationally representative sample yielded 8968 observations. The BGPS included four primary types of measures: participation in gambling (during the past 12 months and during the past 7 days), disordered gambling assessments, attitudes toward gambling and descriptive information. Results: Statistically controlling for gambling involvement substantially reduced or eliminated all statistically significant relationships between types of gambling and disordered gambling. Conclusions: Gambling involvement is an important predictor of disordered gambling status. Our analysis indicates that greater gambling involvement better characterizes disordered gambling than does any specific type of gambling. PMID:19892851
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77 FR 60724 - Bureau of Labor Statistics Technical Advisory Committee; Notice of Meeting and Agenda
Federal Register 2010, 2011, 2012, 2013, 2014
2012-10-04
... fields within the academic disciplines of economics, statistics and survey design. The meeting will be... the Chained CPI. 3 p.m. Survey of Occupational Illnesses and Injuries (SOII) Undercount. [[Page 60725...
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... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...
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A flexible, interpretable framework for assessing sensitivity to unmeasured confounding.
Dorie, Vincent; Harada, Masataka; Carnegie, Nicole Bohme; Hill, Jennifer
2016-09-10
When estimating causal effects, unmeasured confounding and model misspecification are both potential sources of bias. We propose a method to simultaneously address both issues in the form of a semi-parametric sensitivity analysis. In particular, our approach incorporates Bayesian Additive Regression Trees into a two-parameter sensitivity analysis strategy that assesses sensitivity of posterior distributions of treatment effects to choices of sensitivity parameters. This results in an easily interpretable framework for testing for the impact of an unmeasured confounder that also limits the number of modeling assumptions. We evaluate our approach in a large-scale simulation setting and with high blood pressure data taken from the Third National Health and Nutrition Examination Survey. The model is implemented as open-source software, integrated into the treatSens package for the R statistical programming language. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.
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What Are Probability Surveys used by the National Aquatic Resource Surveys?
The National Aquatic Resource Surveys (NARS) use probability-survey designs to assess the condition of the nation’s waters. In probability surveys (also known as sample-surveys or statistical surveys), sampling sites are selected randomly.
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The role of parental education in child disability in China from 1987 to 2006.
He, Ping; Chen, Gong; Wang, Zhenjie; Guo, Chao; Zheng, Xiaoying
2017-01-01
This paper aimed to investigate the role of parental education in child disability in China. We used nationally representative data from China's National Sample Survey on Disability, iterated twice, in 1987 and 2006, with data of 764,718 children aged 0-14 years. Logit models were used for statistical analysis. Results showed that the prevalence of child disability was significantly associated with each parent's education. Maternal education was more important than paternal education in child disability in both surveys. The analysis of marginal effect indicated a one-year increase in maternal and paternal schooling led to an average decrease of 0.121% and 0.091% in the probability of child disability in 1987, and 19 years later, these figures had dwindled to 0.091% and 0.072%, respectively.
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Survey of Approaches to Generate Realistic Synthetic Graphs
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lim, Seung-Hwan; Lee, Sangkeun; Powers, Sarah S
A graph is a flexible data structure that can represent relationships between entities. As with other data analysis tasks, the use of realistic graphs is critical to obtaining valid research results. Unfortunately, using the actual ("real-world") graphs for research and new algorithm development is difficult due to the presence of sensitive information in the data or due to the scale of data. This results in practitioners developing algorithms and systems that employ synthetic graphs instead of real-world graphs. Generating realistic synthetic graphs that provide reliable statistical confidence to algorithmic analysis and system evaluation involves addressing technical hurdles in a broadmore » set of areas. This report surveys the state of the art in approaches to generate realistic graphs that are derived from fitted graph models on real-world graphs.« less
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Mustanski, Brian; Van Wagenen, Aimee; Birkett, Michelle; Eyster, Sandra; Corliss, Heather L
2014-02-01
We studied sexual orientation disparities in health outcomes among US adolescents by pooling multiple Youth Risk Behavior Survey (YRBS) data sets from 2005 and 2007 for 14 jurisdictions. Here we describe the methodology for pooling and analyzing these data sets. Sexual orientation-related items assessed sexual orientation identity, gender of sexual contacts, sexual attractions, and harassment regarding sexual orientation. Wording of items varied across jurisdictions, so we created parallel variables and composite sexual minority variables. We used a variety of statistical approaches to address issues with the analysis of pooled data and to meet the aims of individual articles, which focused on a range of health outcomes and behaviors related to cancer, substance use, sexual health, mental health, violence, and injury.
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Van Wagenen, Aimee; Birkett, Michelle; Eyster, Sandra; Corliss, Heather L.
2014-01-01
We studied sexual orientation disparities in health outcomes among US adolescents by pooling multiple Youth Risk Behavior Survey (YRBS) data sets from 2005 and 2007 for 14 jurisdictions. Here we describe the methodology for pooling and analyzing these data sets. Sexual orientation–related items assessed sexual orientation identity, gender of sexual contacts, sexual attractions, and harassment regarding sexual orientation. Wording of items varied across jurisdictions, so we created parallel variables and composite sexual minority variables. We used a variety of statistical approaches to address issues with the analysis of pooled data and to meet the aims of individual articles, which focused on a range of health outcomes and behaviors related to cancer, substance use, sexual health, mental health, violence, and injury. PMID:24328640
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2016-01-01
Reliably estimating wildlife abundance is fundamental to effective management. Aerial surveys are one of the only spatially robust tools for estimating large mammal populations, but statistical sampling methods are required to address detection biases that affect accuracy and precision of the estimates. Although various methods for correcting aerial survey bias are employed on large mammal species around the world, these have rarely been rigorously validated. Several populations of feral horses (Equus caballus) in the western United States have been intensively studied, resulting in identification of all unique individuals. This provided a rare opportunity to test aerial survey bias correction on populations of known abundance. We hypothesized that a hybrid method combining simultaneous double-observer and sightability bias correction techniques would accurately estimate abundance. We validated this integrated technique on populations of known size and also on a pair of surveys before and after a known number was removed. Our analysis identified several covariates across the surveys that explained and corrected biases in the estimates. All six tests on known populations produced estimates with deviations from the known value ranging from -8.5% to +13.7% and <0.7 standard errors. Precision varied widely, from 6.1% CV to 25.0% CV. In contrast, the pair of surveys conducted around a known management removal produced an estimated change in population between the surveys that was significantly larger than the known reduction. Although the deviation between was only 9.1%, the precision estimate (CV = 1.6%) may have been artificially low. It was apparent that use of a helicopter in those surveys perturbed the horses, introducing detection error and heterogeneity in a manner that could not be corrected by our statistical models. Our results validate the hybrid method, highlight its potentially broad applicability, identify some limitations, and provide insight and guidance for improving survey designs. PMID:27139732
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Lubow, Bruce C; Ransom, Jason I
2016-01-01
Reliably estimating wildlife abundance is fundamental to effective management. Aerial surveys are one of the only spatially robust tools for estimating large mammal populations, but statistical sampling methods are required to address detection biases that affect accuracy and precision of the estimates. Although various methods for correcting aerial survey bias are employed on large mammal species around the world, these have rarely been rigorously validated. Several populations of feral horses (Equus caballus) in the western United States have been intensively studied, resulting in identification of all unique individuals. This provided a rare opportunity to test aerial survey bias correction on populations of known abundance. We hypothesized that a hybrid method combining simultaneous double-observer and sightability bias correction techniques would accurately estimate abundance. We validated this integrated technique on populations of known size and also on a pair of surveys before and after a known number was removed. Our analysis identified several covariates across the surveys that explained and corrected biases in the estimates. All six tests on known populations produced estimates with deviations from the known value ranging from -8.5% to +13.7% and <0.7 standard errors. Precision varied widely, from 6.1% CV to 25.0% CV. In contrast, the pair of surveys conducted around a known management removal produced an estimated change in population between the surveys that was significantly larger than the known reduction. Although the deviation between was only 9.1%, the precision estimate (CV = 1.6%) may have been artificially low. It was apparent that use of a helicopter in those surveys perturbed the horses, introducing detection error and heterogeneity in a manner that could not be corrected by our statistical models. Our results validate the hybrid method, highlight its potentially broad applicability, identify some limitations, and provide insight and guidance for improving survey designs.
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Book review: Bird census techniques, Second edition
Sauer, John R.
2002-01-01
Conservation concerns, federal mandates to monitor birds, and citizen science programs have spawned a variety of surveys that collect information on bird populations. Unfortunately, all too frequently these surveys are poorly designed and use inappropriate counting methods. Some of the flawed approaches reflect a lack of understanding of statistical design; many ornithologists simply are not aware that many of our most entrenched counting methods (such as point counts) cannot appropriately be used in studies that compare densities of birds over space and time. It is likely that most of the readers of The Condor have participated in a bird population survey that has been criticized for poor sampling methods. For example, North American readers may be surprised to read in Bird Census Techniques that the North American Breeding Bird Survey 'is seriously flawed in its design,' and that 'Analysis of trends is impossible from points that are positioned along roads' (p. 109). Our conservation efforts are at risk if we do not acknowledge these concerns and improve our survey designs. Other surveys suffer from a lack of focus. In Bird Census Techniques, the authors emphasize that all surveys require clear statements of objectives and an understanding of appropriate survey designs to meet their objectives. Too often, we view survey design as the realm of ornithologists who know the life histories and logistical issues relevant to counting birds. This view reflects pure hubris: survey design is a collaboration between ornithologists, statisticians, and managers, in which goals based on management needs are met by applying statistical principles for design to the biological context of the species of interest. Poor survey design is often due to exclusion of some of these partners from survey development. Because ornithologists are too frequently unaware of these issues, books such as Bird Census Techniques take on added importance as manuals for educating ornithologists about the relevance of survey design and methods and the often subtle interdisciplinary nature of surveys.Review info: Bird Census Techniques, Second Edition. By Colin J. Bibby, Neil D. Burgess, David A. Hill, and Simon H. Mustoe. 2000. Academic Press, London, UK. xvii 1 302 pp. ISBN 0- 12-095831-7.
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Blynn, Emily; Ahmed, Saifuddin; Gibson, Dustin; Pariyo, George; Hyder, Adnan A
2017-01-01
In low- and middle-income countries (LMICs), historically, household surveys have been carried out by face-to-face interviews to collect survey data related to risk factors for noncommunicable diseases. The proliferation of mobile phone ownership and the access it provides in these countries offers a new opportunity to remotely conduct surveys with increased efficiency and reduced cost. However, the near-ubiquitous ownership of phones, high population mobility, and low cost require a re-examination of statistical recommendations for mobile phone surveys (MPS), especially when surveys are automated. As with landline surveys, random digit dialing remains the most appropriate approach to develop an ideal survey-sampling frame. Once the survey is complete, poststratification weights are generally applied to reduce estimate bias and to adjust for selectivity due to mobile ownership. Since weights increase design effects and reduce sampling efficiency, we introduce the concept of automated active strata monitoring to improve representativeness of the sample distribution to that of the source population. Although some statistical challenges remain, MPS represent a promising emerging means for population-level data collection in LMICs. PMID:28476726
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Ma, Bin; Xu, Jia-Ke; Wu, Wen-Jing; Liu, Hong-Yan; Kou, Cheng-Kun; Liu, Na; Zhao, Lulu
2017-01-01
To investigate the awareness and use of the Systematic Review Center for Laboratory Animal Experimentation's (SYRCLE) risk-of-bias tool, the Animal Research: Reporting of In Vivo Experiments (ARRIVE) reporting guidelines, and Gold Standard Publication Checklist (GSPC) in China in basic medical researchers of animal experimental studies. A national questionnaire-based survey targeting basic medical researchers was carried in China to investigate the basic information and awareness of SYRCLE's risk of bias tool, ARRIVE guidelines, GSPC, and animal experimental bias risk control factors. The EpiData3.1 software was used for data entry, and Microsoft Excel 2013 was used for statistical analysis in this study. The number of cases (n) and percentage (%) of classified information were statistically described, and the comparison between groups (i.e., current students vs. research staff) was performed using chi-square test. A total of 298 questionnaires were distributed, and 272 responses were received, which included 266 valid questionnaires (from 118 current students and 148 research staff). Among the 266 survey participants, only 15.8% was aware of the SYRCLE's risk of bias tool, with significant difference between the two groups (P = 0.003), and the awareness rates of ARRIVE guidelines and GSPC were only 9.4% and 9.0%, respectively; 58.6% survey participants believed that the reports of animal experimental studies in Chinese literature were inadequate, with significant difference between the two groups (P = 0.004). In addition, only approximately 1/3 of the survey participants had read systematic reviews and meta-analysis reports of animal experimental studies; only 16/266 (6.0%) had carried out/participated in and 11/266 (4.1%) had published systematic reviews/meta-analysis of animal experimental studies. The awareness and use rates of SYRCLE's risk-of-bias tool, the ARRIVE guidelines, and the GSPC were low among Chinese basic medical researchers. Therefore, specific measures are necessary to promote and popularize these standards and specifications and to introduce these standards into guidelines of Chinese domestic journals as soon as possible to raise awareness and increase use rates of researchers and journal editors, thereby improving the quality of animal experimental methods and reports.
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Barker, Andrew L; Wehbe-Janek, Hania; Bhandari, Naumit S; Bittenbinder, Timothy M; Jo, ChanHee; McAllister, Russell K
2012-12-01
To determine the social networking practices of directors of anesthesiology residency programs. Cross-sectional survey. Online and paper survey tool. 132 anesthesiology residency program directors in the United States. A 13-item survey including dichotomous and multiple choice responses was administered using an online survey tool and a paper survey. Data analysis was conducted by descriptive and analytical statistics (chi-square test). A P-value < 0.05 indicated statistical significance. 50% of anesthesiology program directors responded to the survey (66/132). Policies governing social networking practices were in place for 30.3% (n=20) of the programs' hospitals. The majority of program directors (81.8%, 54) reported never having had an incident involving reprimand of a resident or fellow for inappropriate social networking practices. The majority (66.7%, n=44) of responding programs reported that departments did not provide lectures or educational activities related to appropriate social networking practices. Monitoring of social networking habits of residents/fellows by program directors mainly occurs if they are alerted to a problem (54.5%, n=36). Frequent use of the Internet for conducting searches on a resident applicant was reported by 12.1% (n=8) of program directors, 30.3% (n=20) reported use a few times, and 57.6% (n=38) reported never using the Internet in this capacity. Residency programs should have a written policy related to social media use. Residency program directors should be encouraged to become familiar with the professionalism issues related to social media use in order to serve as adequate resident mentors within this new and problematic aspect of medical ethics and professionalism. Copyright © 2012 Elsevier Inc. All rights reserved.
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An astronomer's guide to period searching
NASA Astrophysics Data System (ADS)
Schwarzenberg-Czerny, A.
2003-03-01
We concentrate on analysis of unevenly sampled time series, interrupted by periodic gaps, as often encountered in astronomy. While some of our conclusions may appear surprising, all are based on classical statistical principles of Fisher & successors. Except for discussion of the resolution issues, it is best for the reader to forget temporarily about Fourier transforms and to concentrate on problems of fitting of a time series with a model curve. According to their statistical content we divide the issues into several sections, consisting of: (ii) statistical numerical aspects of model fitting, (iii) evaluation of fitted models as hypotheses testing, (iv) the role of the orthogonal models in signal detection (v) conditions for equivalence of periodograms (vi) rating sensitivity by test power. An experienced observer working with individual objects would benefit little from formalized statistical approach. However, we demonstrate the usefulness of this approach in evaluation of performance of periodograms and in quantitative design of large variability surveys.
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Federal Register 2010, 2011, 2012, 2013, 2014
2010-04-23
... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration Proposed Information Collection; Comment Request; Marine Recreational Fisheries Statistics Survey AGENCY: National Oceanic and Atmospheric Administration (NOAA), Commerce. ACTION: Notice. SUMMARY: The Department of Commerce, as part of...
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Controlling for varying effort in count surveys --an analysis of Christmas Bird Count Data
Link, W.A.; Sauer, J.R.
1999-01-01
The Christmas Bird Count (CBC) is a valuable source of information about midwinter populations of birds in the continental U.S. and Canada. Analysis of CBC data is complicated by substantial variation among sites and years in effort expended in counting; this feature of the CBC is common to many other wildlife surveys. Specification of a method for adjusting counts for effort is a matter of some controversy. Here, we present models for longitudinal count surveys with varying effort; these describe the effect of effort as proportional to exp(B effortp), where B and p are parameters. For any fixed p, our models are loglinear in the transformed explanatory variable (effort)p and other covariables. Hence we fit a collection of loglinear models corresponding to a range of values of p, and select the best effort adjustment from among these on the basis of fit statistics. We apply this procedure to data for six bird species in five regions, for the period 1959-1988.
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Katz, Brian G.; Krulikas, Richard K.
1979-01-01
Water samples from wells in Nassau and Suffolk Counties were analyzed for chloride and nitrate. Two samples were collected at each well; one was analyzed by the U.S. Geological Survey, the other by a laboratory in the county from which the sample was taken. Results were compared statistically by paired-sample t-test to indicate the degree of uniformity among laboratory results. Chloride analyses from one of the three county laboratories differed significantly (0.95 confidence level) from that of a Geological Survey laboratory. For nitrate analyses, a significant difference (0.95 confidence level) was noted between results from two of the three county laboratories and the Geological Survey laboratory. The lack of uniformity among results reported by the participating laboratories indicates a need for continuing participation in a quality-assurance program and exercise of strong quality control from time of sample collection through analysis so that differences can be evaluated. (Kosco-USGS)