Factors Associated With Premature Exits From Supported Housing.

PubMed

Gabrielian, Sonya; Burns, Alaina V; Nanda, Nupur; Hellemann, Gerhard; Kane, Vincent; Young, Alexander S

2016-01-01

Many homeless consumers who enroll in supported housing programs--which offer subsidized housing and supportive services--disengage prematurely, before placement in permanent community-based housing. This study explored factors associated with exiting a supported housing program before achieving housing placement. With the use of administrative data, a roster was obtained for consumers enrolled in the Veterans Affairs (VA) Greater Los Angeles supported housing program from 2011 to 2012. Fewer (4%) consumers exited this program before achieving housing ("exiters") compared with consumers described in national VA figures (18%). Exiters with available demographic data (N=51) were matched 1:1 on age, gender, marital status, and race-ethnicity with consumers housed through this program ("stayers," N=51). Medical records were reviewed to compare diagnoses, health care utilization, housing histories, vocational history, and criminal justice involvement of exiters versus stayers. Exiters' housing outcomes were identified. Recursive partitioning identified variables that best differentiated exiters from stayers. Several factors were associated with premature exits from this supported housing program: residing in temporary housing on hospital grounds during program enrollment, poor adherence to outpatient care, substance use disorders, hepatitis C, chronic pain, justice involvement, frequent emergency department utilization, and medical-surgical admissions. The first of these factors and poor adherence to outpatient medical-surgical care best differentiated exiters from stayers. Moreover, >50% of exiters became street homeless or incarcerated after leaving the program. In that diverse social factors, diagnoses, and health care utilization patterns were associated with premature disengagement from supported housing, future research is needed to implement and evaluate rehabilitative services that address these factors, adapted to the context of supported housing.

Factors Associated With Premature Exits From Supported Housing

PubMed Central

Gabrielian, Sonya; Burns, Alaina V.; Nanda, Nupur; Hellemann, Gerhard; Kane, Vincent; Young, Alexander S.

2015-01-01

Objective Many homeless consumers who enroll in supported housing programs—which offer subsidized housing and supportive services—disengage prematurely, before placement in permanent community-based housing. This study explored factors associated with exiting a supported housing program before achieving housing placement. Methods With the use of administrative data, a roster was obtained for consumers enrolled in the Veterans Affairs (VA) Greater Los Angeles supported housing program from 2011 to 2012. Fewer (4%) consumers exited this program before achieving housing (“exiters”) compared with consumers described in national VA figures (18%). Exiters with available demographic data (N=51) were matched 1:1 on age, gender, marital status, and race-ethnicity with consumers housed through this program (“stayers,” N=51). Medical records were reviewed to compare diagnoses, health care utilization, housing histories, vocational history, and criminal justice involvement of exiters versus stayers. Exiters' housing outcomes were identified. Recursive partitioning identified variables that best differentiated exiters from stayers. Results Several factors were associated with premature exits from this supported housing program: residing in temporary housing on hospital grounds during program enrollment, poor adherence to outpatient care, substance use disorders, hepatitis C, chronic pain, justice involvement, frequent emergency department utilization, and medical-surgical admissions. The first of these factors and poor adherence to outpatient medical-surgical care best differentiated exiters from stayers. Moreover, >50% of exiters became street homeless or incarcerated after leaving the program. Conclusions In that diverse social factors, diagnoses, and health care utilization patterns were associated with premature disengagement from supported housing, future research is needed to implement and evaluate rehabilitative services that address these factors, adapted to

Description of the supporting factors of final project in Mathematics and Natural Sciences Faculty of Syiah Kuala University with multiple correspondence analysis

NASA Astrophysics Data System (ADS)

Rusyana, Asep; Nurhasanah; Maulizasari

2018-05-01

Syiah Kuala University (Unsyiah) is hoped to have graduates who are qualified for working or creating a field of work. A final project course implementation process must be effective. This research uses data from the evaluation conducted by Mathematics and Natural Sciences Faculty (FMIPA) of Unsyiah. Some of the factors that support the completion of the final project are duration, guidance, the final project seminars, facility, public impact, and quality. This research aims to know the factors that have a relationship with the completion of the final project and identify similarities among variables. The factors that support the completion of the final project at every study program in FMIPA are (1) duration, (2) guidance and (3) facilities. These factors are examined for the correlations by chi-square test. After that, the variables are analyzed with multiple correspondence analysis. Based on the plot of correspondence, the activities of the guidance and facilities in Informatics Study Program are included in the fair category, while the guidance and facilities in the Chemistry are included in the best category. Besides that, students in Physics can finish the final project with the fastest completion duration, while students in Pharmacy finish for the longest time.

Path Analysis Associations Between Perceived Social Support, Stressful Life Events and Other Psychosocial Risk Factors During Pregnancy and Preterm Delivery

PubMed Central

Mirabzadeh, Arash; Dolatian, Mahrokh; Forouzan, Ameneh Setare; Sajjadi, Homeira; Majd, Hamid Alavi; Mahmoodi, Zohreh

2013-01-01

Background Although several socio-medical risk factors have been identified for preterm labor, there is a gap in understanding the underlying etiology of preterm labor. Objectives The current study aimed to analyze the relationship pathway of perceived social support, stressful life events, and other psychosocial risk factors during pregnancy with incidence of preterm labor. Materials and Methods In a prospective cohort study in four hospitals in Tehran, 500 pregnant women in their 24th to 28th gestational weeks were studied. They filled out a self-report questionnaire on perceived social support, depression, anxiety, stress and stressful life events. Sociodemographic characteristics were also assessed. The participants were followed up until labor, and the data about mother and the newborn were collected after labor. The data were analyzed by SPSS 16 and Lisrel 8.8 software programs using pathway analysis. Results The final path model fit well (CFI = 0.96; RMSEA = .064). The results showed that depression, anxiety, and stress (β = -0.18) directly, and stressful life events indirectly (β= -0.0396) had the most predict on gestational age at labor. Perceived social support, directly through socioeconomic status (β=0.25), and indirectly through stress, depression and anxiety (β= -0.26) affected the gestational age at birth (β= 0.0468). Conclusions The current study showed that supporting pregnant mother moderates psychological problems such as stress, anxiety, and depression, and hence reduces preterm labor. PMID:24349750

Provision of Kangaroo Mother Care: supportive factors and barriers perceived by parents.

PubMed

Blomqvist, Ylva Thernström; Frölund, Lovisa; Rubertsson, Christine; Nyqvist, Kerstin Hedberg

2013-06-01

Kangaroo Mother Care (KMC) supports parents' role at the neonatal intensive care unit (NICU). To enhance parents' provision of KMC, it is essential to obtain knowledge of what parents perceive as supportive factors and barriers regarding their opportunities to perform KMC. To identify factors that parents of preterm infants perceived as supportive factors or barriers for their performance of KMC and to explore the timing of and reasons for parents' discontinuation of KMC. A descriptive study performed at two NICUs in Sweden with 76 mothers and 74 fathers of preterm infants born at gestational ages ranging from 28 to 33 weeks. Data on infant characteristics were obtained from the infants' medical records. A questionnaire, based on scientific literature and the researchers' clinical experience, was completed by the mothers and the fathers separately, shortly after the infant's discharge from the hospital. The data were analyzed with qualitative content analysis and descriptive statistic. Four categories were identified in parents' responses regarding support and barriers for their performance of KMC: Parent related factors, Time, Infants related factors and The NICU and home environment. The hospital staff and environment were described by the parents as both supportive and barriers for their application of KMC. Some mothers described the infants' feeding process as an obstacle to KMC. Sleeping with the infant skin-to-skin in the same position throughout the night could be difficult, as an uncomfortable sleeping position caused insufficient sleep. A majority of both mothers and fathers continued providing their infant with KMC to some extent after discharge. Interventions for enhancing parents' opportunities for performing KMC should address both hospital staff attitudes and practices and the NICU environment. © 2012 Nordic College of Caring Science.

Risk Analysis of Return Support Material on Gas Compressor Platform Project

NASA Astrophysics Data System (ADS)

Silvianita; Aulia, B. U.; Khakim, M. L. N.; Rosyid, Daniel M.

2017-07-01

On a fixed platforms project are not only carried out by a contractor, but two or more contractors. Cooperation in the construction of fixed platforms is often not according to plan, it is caused by several factors. It takes a good synergy between the contractor to avoid miss communication may cause problems on the project. For the example is about support material (sea fastening, skid shoe and shipping support) used in the process of sending a jacket structure to operation place often does not return to the contractor. It needs a systematic method to overcome the problem of support material. This paper analyses the causes and effects of GAS Compressor Platform that support material is not return, using Fault Tree Analysis (FTA) and Event Tree Analysis (ETA). From fault tree analysis, the probability of top event is 0.7783. From event tree analysis diagram, the contractors lose Rp.350.000.000, - to Rp.10.000.000.000, -.

A single factor underlies the metabolic syndrome: a confirmatory factor analysis.

PubMed

Pladevall, Manel; Singal, Bonita; Williams, L Keoki; Brotons, Carlos; Guyer, Heidi; Sadurni, Josep; Falces, Carles; Serrano-Rios, Manuel; Gabriel, Rafael; Shaw, Jonathan E; Zimmet, Paul Z; Haffner, Steven

2006-01-01

Confirmatory factor analysis (CFA) was used to test the hypothesis that the components of the metabolic syndrome are manifestations of a single common factor. Three different datasets were used to test and validate the model. The Spanish and Mauritian studies included 207 men and 203 women and 1,411 men and 1,650 women, respectively. A third analytical dataset including 847 men was obtained from a previously published CFA of a U.S. population. The one-factor model included the metabolic syndrome core components (central obesity, insulin resistance, blood pressure, and lipid measurements). We also tested an expanded one-factor model that included uric acid and leptin levels. Finally, we used CFA to compare the goodness of fit of one-factor models with the fit of two previously published four-factor models. The simplest one-factor model showed the best goodness-of-fit indexes (comparative fit index 1, root mean-square error of approximation 0.00). Comparisons of one-factor with four-factor models in the three datasets favored the one-factor model structure. The selection of variables to represent the different metabolic syndrome components and model specification explained why previous exploratory and confirmatory factor analysis, respectively, failed to identify a single factor for the metabolic syndrome. These analyses support the current clinical definition of the metabolic syndrome, as well as the existence of a single factor that links all of the core components.

[Nutritional support and risk factors of appearance of enterocutaneous fistulas].

PubMed

Llop, J M; Cobo, S; Padullés, A; Farran, L; Jódar, R; Badia, M B

2012-01-01

Among the different factors described, nutritional support has been associated to prevention and management of enterocutaneous fistulae (ECF). To assess the influence that the parameters related to nutritional, clinical status, and surgical variables have on the occurrence of ECF. An observational case/control retrospective study was performed on patients admitted to the General and Digestive Surgery Department. The parameters analyzed were: diagnosis, body mass index (BMI), pathologic personal history, number of surgical interventions (SI) and complications (previous infection, bleeding, and ischemia). In patients with SI, we analyzed: number and type of SI, time until onset of nutritional support, and type of nutritional support. We performed a multiple logistic uni- and multivariate regression analysis by using the SPSSv.19.0 software. The primary diagnoses related to the occurrence of ECF were pancreatic pathology (OR = 5.346) and inflammatory bowel disease (IBD) (OR = 9.329). The surgical variables associated to higher prevalence of ECF emergency SI (OR = 5.79) and multiple SI (OR = 4.52). Regarding the nutritional variables, the late onset of nutrition (more than three days after SI) was associated to the occurrence of ECF (OR = 3.82). In surgical patients, early nutritional support , independently of the route of administration, decreases the occurrence of fistulae. Pancreatic pathology, IBD, emergency SI, and multiple SI were associated to higher prevalence of ECF. The variable hyponutrition appears as a risk factor that should be confirmed in further studies.

Factor Analysis via Components Analysis

ERIC Educational Resources Information Center

Bentler, Peter M.; de Leeuw, Jan

2011-01-01

When the factor analysis model holds, component loadings are linear combinations of factor loadings, and vice versa. This interrelation permits us to define new optimization criteria and estimation methods for exploratory factor analysis. Although this article is primarily conceptual in nature, an illustrative example and a small simulation show…

Socioeconomic Factors Affecting Local Support for Black Bear Recovery Strategies

NASA Astrophysics Data System (ADS)

Morzillo, Anita T.; Mertig, Angela G.; Hollister, Jeffrey W.; Garner, Nathan; Liu, Jianguo

2010-06-01

There is global interest in recovering locally extirpated carnivore species. Successful efforts to recover Louisiana black bear in Louisiana have prompted interest in recovery throughout the species’ historical range. We evaluated support for three potential black bear recovery strategies prior to public release of a black bear conservation and management plan for eastern Texas, United States. Data were collected from 1,006 residents living in proximity to potential recovery locations, particularly Big Thicket National Preserve. In addition to traditional logistic regression analysis, we used conditional probability analysis to statistically and visually evaluate probabilities of public support for potential black bear recovery strategies based on socioeconomic characteristics. Allowing black bears to repopulate the region on their own (i.e., without active reintroduction) was the recovery strategy with the greatest probability of acceptance. Recovery strategy acceptance was influenced by many socioeconomic factors. Older and long-time local residents were most likely to want to exclude black bears from the area. Concern about the problems that black bears may cause was the only variable significantly related to support or non-support across all strategies. Lack of personal knowledge about black bears was the most frequent reason for uncertainty about preferred strategy. In order to reduce local uncertainty about possible recovery strategies, we suggest that wildlife managers focus outreach efforts on providing local residents with general information about black bears, as well as information pertinent to minimizing the potential for human-black bear conflict.

Emergence of Yalom's therapeutic factors in a peer-led, asynchronous, online support group for family caregivers.

PubMed

Diefenbeck, Cynthia A; Klemm, Paula R; Hayes, Evelyn R

2014-01-01

Support groups fill a critical void in the health care system, harnessing the power of shared experiences to provide support to group members. Likewise, family caregivers fill a void in the health care system, providing billions in unpaid care to the chronically ill. Caregiver support groups offer an opportunity for alleviating the psychological burden of caregiving. The power of any group, including a support group, to foster psychological well-being lies in its ability to cultivate Yalom's therapeutic factors. Gaps in the literature remain regarding the ability of non-prototypical groups to promote therapeutic mechanisms of change. The purpose of this study was to determine if and when Yalom's therapeutic group factors emerged in a peer-led support group delivered in an asynchronous, online format. Qualitative content analysis utilizing deductive category application was employed. Participants' responses were coded and frequency counts were conducted. Results revealed that 9 of 11 therapeutic factors emerged over the course of the group, with Group Cohesiveness, Catharsis, Imparting of Information, and Universality occurring most often. Several factors, including Interpersonal Learning, Corrective Recapitulation of the Primary Family Group, Imitative Behavior, and Development of Socializing Techniques were absent or virtually absent, likely due to the peer-led format of the group. Progression of therapeutic factors over the course of the group is presented. Findings demonstrate the presence of a variety of Yalom's therapeutic factors in an asynchronous, peer-led online support group.

A meta-analysis of work-family conflict and social support.

PubMed

French, Kimberly A; Dumani, Soner; Allen, Tammy D; Shockley, Kristen M

2018-03-01

The relationship between social support and work-family conflict is well-established, but the notion that different forms, sources, and types of social support as well as contextual factors can alter this relationship has been relatively neglected. To address this limitation, the current study provides the most comprehensive and in-depth examination of the relationship between social support and work-family conflict to date. We conduct a meta-analysis based on 1021 effect sizes and 46 countries to dissect the social support and work-family conflict relationship. Using social support theory as a theoretical framework, we challenge the assumption that social support measures are interchangeable by comparing work/family support relationships with work-family conflict across different support forms (behavior, perceptions), sources (e.g., supervisor, coworker, spouse), types (instrumental, emotional), and national contexts (cultural values, economic factors). National context hypotheses use a strong inferences paradigm in which utility and value congruence theoretical perspectives are pitted against one another. Significant results concerning support source are in line with social support theory, indicating that broad sources of support are more strongly related to work-family conflict than are specific sources of support. In line with utility perspective from social support theory, culture and economic national context significantly moderate some of the relationships between work/family support and work interference with family, indicating that social support is most beneficial in contexts in which it is needed or perceived as useful. The results suggest that organizational support may be the most important source of support overall. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Supporting and Inhibiting Factors When Coping with Endometriosis From the Patientsʼ Perspective

PubMed Central

Kundu, S.; Wildgrube, J.; Schippert, C.; Hillemanns, P.; Brandes, I.

2015-01-01

Aim: Endometriosis is a chronic gynaecological disorder with manifold symptoms and psychosocial effects on the lives of affected women. The prevalence of endometriosis is estimated to be up to ten percent of women of reproductive age. As a result of its unclear aetiology, only limited treatment options are available. The treatment and care of affected women is therefore a challenge for their doctors. There is a need for healthcare services to provide affected women with support to cope with the disorder better. The aim of the study was to identify supporting and inhibiting factors on disease management to develop new support ideas. Materials and Methods: The results are based on a content analysis evaluation of text responses from 135 women with confirmed endometriosis. Open questions about disease management were posed in a patient questionnaire. A classification system was developed according to Mayrings Qualitative Content Analysis, which allowed the main topics to be identified and summarised qualitatively using a quantitative intermediate step. Results: Social support, treatment, as well as professional and healthcare system performance were found to be particularly supportive by patients. However, when questioned about inhibiting factors, healthcare system professionals and their performance were most commonly criticised. Just over 50 % of women expressed their criticism of doctors. Quality of care and empathy towards the patients were especially criticised. There is also a need for improvement with regard to communication and general support from doctors. The results illustrate the importance of doctors for women affected by endometriosis, but make it clear that there is a great need for improvement with regard to the profession. Conclusion: The results provide the first indication of problem areas in the management of endometriosis from which approaches could be developed to improve care. However, it must be pointed out that the perspective of affected

Factor Structure of the Student-Teacher Relationship Scale for Norwegian School-Age Children Explored with Confirmatory Factor Analysis

ERIC Educational Resources Information Center

Drugli, May Britt; Hjemdal, Odin

2013-01-01

The validity of the Student-Teacher Relationship Scale (STRS) was examined in a national sample of 863 Norwegian schoolchildren in grades 1-7 (aged 6-13). The original factor structure of the STRS was tested by confirmatory factor analysis (CFA). The CFA results did not support the original three-factor structure of the STRS. Subsequent CFA of the…

Human Factors Virtual Analysis Techniques for NASA's Space Launch System Ground Support using MSFC's Virtual Environments Lab (VEL)

NASA Technical Reports Server (NTRS)

Searcy, Brittani

2017-01-01

Using virtual environments to assess complex large scale human tasks provides timely and cost effective results to evaluate designs and to reduce operational risks during assembly and integration of the Space Launch System (SLS). NASA's Marshall Space Flight Center (MSFC) uses a suite of tools to conduct integrated virtual analysis during the design phase of the SLS Program. Siemens Jack is a simulation tool that allows engineers to analyze human interaction with CAD designs by placing a digital human model into the environment to test different scenarios and assess the design's compliance to human factors requirements. Engineers at MSFC are using Jack in conjunction with motion capture and virtual reality systems in MSFC's Virtual Environments Lab (VEL). The VEL provides additional capability beyond standalone Jack to record and analyze a person performing a planned task to assemble the SLS at Kennedy Space Center (KSC). The VEL integrates Vicon Blade motion capture system, Siemens Jack, Oculus Rift, and other virtual tools to perform human factors assessments. By using motion capture and virtual reality, a more accurate breakdown and understanding of how an operator will perform a task can be gained. By virtual analysis, engineers are able to determine if a specific task is capable of being safely performed by both a 5% (approx. 5ft) female and a 95% (approx. 6'1) male. In addition, the analysis will help identify any tools or other accommodations that may to help complete the task. These assessments are critical for the safety of ground support engineers and keeping launch operations on schedule. Motion capture allows engineers to save and examine human movements on a frame by frame basis, while virtual reality gives the actor (person performing a task in the VEL) an immersive view of the task environment. This presentation will discuss the need of human factors for SLS and the benefits of analyzing tasks in NASA MSFC's VEL.

Implementing complex innovations: factors influencing middle manager support.

PubMed

Chuang, Emmeline; Jason, Kendra; Morgan, Jennifer Craft

2011-01-01

Middle manager resistance is often described as a major challenge for upper-level administrators seeking to implement complex innovations such as evidence-based protocols or new skills training. However, factors influencing middle manager support for innovation implementation are currently understudied in the U.S. health care literature. This article examined the factors that influence middle managers' support for and participation in the implementation of work-based learning, a complex innovation adopted by health care organizations to improve the jobs, educational pathways, skills, and/or credentials of their frontline workers. We conducted semistructured interviews and focus groups with 92 middle managers in 17 health care organizations. Questions focused on understanding middle managers' support for work-based learning as a complex innovation, facilitators and barriers to the implementation process, and the systems changes needed to support the implementation of this innovation. Factors that emerged as influential to middle manager support were similar to those found in broader models of innovation implementation within the health care literature. However, our findings extend previous research by developing an understanding about how middle managers perceived these constructs and by identifying specific strategies for how to influence middle manager support for the innovation implementation process. These findings were generally consistent across different types of health care organizations. Study findings suggest that middle manager support was highest when managers felt the innovation fit their workplace needs and priorities and when they had more discretion and control over how it was implemented. Leaders seeking to implement innovations should consider the interplay between middle managers' control and discretion, their narrow focus on the performance of their own departments or units, and the dedication of staff and other resources for empowering their

An Examination of School Factors Which Support and Limit Efficiency in Rural Special Education Resource Room Teachers

ERIC Educational Resources Information Center

Fankhauser, Jeff

2010-01-01

This dissertation examines the school factors which support and limit efficacy in rural special education resource room teachers. To explore these factors, a qualitative case study involving interviews, observations, and data analysis was conducted during the spring of 2010. Data collection included interviews and observations of the teachers,…

Factor Analysis and Counseling Research

ERIC Educational Resources Information Center

Weiss, David J.

1970-01-01

Topics discussed include factor analysis versus cluster analysis, analysis of Q correlation matrices, ipsativity and factor analysis, and tests for the significance of a correlation matrix prior to application of factor analytic techniques. Techniques for factor extraction discussed include principal components, canonical factor analysis, alpha…

The correlation of social support with mental health: A meta-analysis.

PubMed

Harandi, Tayebeh Fasihi; Taghinasab, Maryam Mohammad; Nayeri, Tayebeh Dehghan

2017-09-01

Social support is an important factor that can affect mental health. In recent decades, many studies have been done on the impact of social support on mental health. The purpose of the present study is to investigate the effect size of the relationship between social support and mental health in studies in Iran. This meta-analysis was carried out in studies that were performed from 1996 through 2015. Databases included SID and Magiran, the comprehensive portal of human sciences, Noor specialized magazine databases, IRANDOC, Proquest, PubMed, Scopus, ERIC, Iranmedex and Google Scholar. The keywords used to search these websites included "mental health or general health," and "Iran" and "social support." In total, 64 studies had inclusion criteria meta-analysis. In order to collect data used from a meta-analysis worksheet that was made by the researcher and for data analysis software, CMA-2 was used. The mean of effect size of the 64 studies in the fixed-effect model and random-effect model was obtained respectively as 0.356 and 0.330, which indicated the moderate effect size of social support on mental health. The studies did not have publication bias, and enjoyed a heterogeneous effect size. The target population and social support questionnaire were moderator variables, but sex, sampling method, and mental health questionnaire were not moderator variables. Regarding relatively high effect size of the correlation between social support and mental health, it is necessary to predispose higher social support, especially for women, the elderly, patients, workers, and students.

Factors Supporting Implementation among CDSMP Organizations.

PubMed

Paone, Deborah

2014-01-01

Reaching individuals who can benefit from evidence-based health promotion and disability prevention programs is a goal of federal, state, and local agencies as well as researchers, providers, community agencies, and other stakeholders. Implementation effectiveness at the organizational level must be achieved in order to reach these individuals and sustain the program. This mixed methods study examined eight organizations within two states that successfully implemented the Chronic Disease Self-Management Program (CDSMP) and sustained it from 4 to 10 years. There were two types of organizations: aging services and health care. Internal and external implementation factors and influences were explored. Additional examination of state activities (as a key external agent supporting CDSMP implementation) was conducted. The examination found agreement among the eight organizations regarding why they had adopted the CDSMP - citing the alignment between the program and their organizations' mission and purpose to improve health status and promote better self-care, and the demonstrated value (benefits) of the program. Organizations were also alike in that they described the importance of an internal champion and supportive senior leader. Organizations differed in how they experienced and valued peer support and collaborative networks. Organizations also differed in how they filled their CDSMP workshops. Internal drivers and capability were more often discussed as facilitating successful implementation than external factors. However, state activities and external support enabled successful adoption - particularly funding and training. The primary challenges identified by this set of organizations included difficulty in recruiting participants (filling workshops) and irregular or insufficient funding sources. These challenges were identified as significant and represented barriers to sustaining the program.

Factors Supporting Implementation among CDSMP Organizations

PubMed Central

Paone, Deborah

2015-01-01

Reaching individuals who can benefit from evidence-based health promotion and disability prevention programs is a goal of federal, state, and local agencies as well as researchers, providers, community agencies, and other stakeholders. Implementation effectiveness at the organizational level must be achieved in order to reach these individuals and sustain the program. This mixed methods study examined eight organizations within two states that successfully implemented the Chronic Disease Self-Management Program (CDSMP) and sustained it from 4 to 10 years. There were two types of organizations: aging services and health care. Internal and external implementation factors and influences were explored. Additional examination of state activities (as a key external agent supporting CDSMP implementation) was conducted. The examination found agreement among the eight organizations regarding why they had adopted the CDSMP – citing the alignment between the program and their organizations’ mission and purpose to improve health status and promote better self-care, and the demonstrated value (benefits) of the program. Organizations were also alike in that they described the importance of an internal champion and supportive senior leader. Organizations differed in how they experienced and valued peer support and collaborative networks. Organizations also differed in how they filled their CDSMP workshops. Internal drivers and capability were more often discussed as facilitating successful implementation than external factors. However, state activities and external support enabled successful adoption – particularly funding and training. The primary challenges identified by this set of organizations included difficulty in recruiting participants (filling workshops) and irregular or insufficient funding sources. These challenges were identified as significant and represented barriers to sustaining the program. PMID:25964928

Meta-analysis of the Brief Psychiatric Rating Scale Factor Structure

ERIC Educational Resources Information Center

Shafer, Alan

2005-01-01

A meta-analysis (N=17,620; k=26) of factor analyses of the Brief Psychiatric Rating Scale (BPRS) was conducted. Analysis of the 12 items from Overall et al.'s (J. E. Overall, L. E. Hollister, & P. Pichot, 1974) 4 subscales found support for his 4 subscales. Analysis of all 18 BPRS items found 4 components similar to those of Overall et al. In a…

Confirmatory factor analysis of the Child Oral Health Impact Profile (Korean version).

PubMed

Cho, Young Il; Lee, Soonmook; Patton, Lauren L; Kim, Hae-Young

2016-04-01

Empirical support for the factor structure of the Child Oral Health Impact Profile (COHIP) has not been fully established. The purposes of this study were to evaluate the factor structure of the Korean version of the COHIP (COHIP-K) empirically using confirmatory factor analysis (CFA) based on the theoretical framework and then to assess whether any of the factors in the structure could be grouped into a simpler single second-order factor. Data were collected through self-reported COHIP-K responses from a representative community sample of 2,236 Korean children, 8-15 yr of age. Because a large inter-factor correlation of 0.92 was estimated in the original five-factor structure, the two strongly correlated factors were combined into one factor, resulting in a four-factor structure. The revised four-factor model showed a reasonable fit with appropriate inter-factor correlations. Additionally, the second-order model with four sub-factors was reasonable with sufficient fit and showed equal fit to the revised four-factor model. A cross-validation procedure confirmed the appropriateness of the findings. Our analysis empirically supported a four-factor structure of COHIP-K, a summarized second-order model, and the use of an integrated summary COHIP score. © 2016 Eur J Oral Sci.

Confirmatory factor analysis of posttraumatic stress symptoms in sexually harassed women.

PubMed

Palmieri, Patrick A; Fitzgerald, Louise F

2005-12-01

Posttraumatic stress disorder (PTSD) factor analytic research to date has not provided a clear consensus on the structure of posttraumatic stress symptoms. Seven hypothesized factor structures were evaluated using confirmatory factor analysis of the Posttraumatic Stress Disorder Checklist, a paper-and-pencil measure of posttraumatic stress symptom severity, in a sample of 1,218 women who experienced a broad range of workplace sexual harassment. The model specifying correlated re-experiencing, effortful avoidance, emotional numbing, and hyperarousal factors provided the best fit to the data. Virtually no support was obtained for the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV; American Psychiatric Association, 1994) three-factor model of re-experiencing, avoidance, and hyperarousal factors. Different patterns of correlations with external variables were found for the avoidance and emotional numbing factors, providing further validation of the supported model.

Inspiring health worker motivation with supportive supervision: a survey of lady health supervisor motivating factors in rural Pakistan.

PubMed

Rabbani, Fauziah; Shipton, Leah; Aftab, Wafa; Sangrasi, Kashif; Perveen, Shagufta; Zahidie, Aysha

2016-08-17

Community health worker motivation is an important consideration for improving performance and addressing maternal, newborn, and child health in low and middle-income countries. Therefore, identifying health system interventions that address motivating factors in resource-strained settings is essential. This study is part of a larger implementation research project called Nigraan, which is intervening on supportive supervision in the Lady Health Worker Programme to improve community case management of pneumonia and diarrhea in rural Pakistan. This study explored the motivation of Lady Health Supervisors, a cadre of community health workers, with particular attention to their views on supportive supervision. Twenty-nine lady health supervisors enrolled in Nigraan completed open-ended structured surveys with questions exploring factors that affect their motivation. Thematic analysis was conducted using a conceptual framework categorizing motivating factors at individual, community, and health system levels. Supportive supervision, recognition, training, logistics, and salaries are community and health system motivating factors for lady health supervisors. Lady health supervisors are motivated by both their role in providing supportive supervision to lady health workers and by the supervisory support received from their coordinators and managers. Family support, autonomy, and altruism are individual level motivating factors. Health system factors, including supportive supervision, are crucial to improving lady health supervisor motivation. As health worker motivation influences their performance, evaluating the impact of health system interventions on community health worker motivation is important to improving the effectiveness of community health worker programs.

The correlation of social support with mental health: A meta-analysis

PubMed Central

Harandi, Tayebeh Fasihi; Taghinasab, Maryam Mohammad; Nayeri, Tayebeh Dehghan

2017-01-01

Background and aim Social support is an important factor that can affect mental health. In recent decades, many studies have been done on the impact of social support on mental health. The purpose of the present study is to investigate the effect size of the relationship between social support and mental health in studies in Iran. Methods This meta-analysis was carried out in studies that were performed from 1996 through 2015. Databases included SID and Magiran, the comprehensive portal of human sciences, Noor specialized magazine databases, IRANDOC, Proquest, PubMed, Scopus, ERIC, Iranmedex and Google Scholar. The keywords used to search these websites included “mental health or general health,” and “Iran” and “social support.” In total, 64 studies had inclusion criteria meta-analysis. In order to collect data used from a meta-analysis worksheet that was made by the researcher and for data analysis software, CMA-2 was used. Results The mean of effect size of the 64 studies in the fixed-effect model and random-effect model was obtained respectively as 0.356 and 0.330, which indicated the moderate effect size of social support on mental health. The studies did not have publication bias, and enjoyed a heterogeneous effect size. The target population and social support questionnaire were moderator variables, but sex, sampling method, and mental health questionnaire were not moderator variables. Conclusion Regarding relatively high effect size of the correlation between social support and mental health, it is necessary to predispose higher social support, especially for women, the elderly, patients, workers, and students. PMID:29038699

Social support and online postpartum depression discussion groups: a content analysis.

PubMed

Evans, Marilyn; Donelle, Lorie; Hume-Loveland, Laurie

2012-06-01

Social support has a positive influence on women's childbearing experience and is shown to be a preventive factor in postpartum depression. This study examined the perceived value and types of social supports that characterize the discussions of women who participate in postpartum depression online discussion groups. A directed content analysis was used to examine 512 messages posted on a postpartum depression online support group over six months. The majority of the women's postings illustrated emotional support followed by informational and instrumental support. Online support groups provide women experiencing postpartum depression a safe place to connect with others and receive information, encouragement and hope. Education strategies are needed to address the many questions regarding PPD medical treatment. Recommending vetted links to PPD online support groups will create opportunities for women to share their experiences and obtain support. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Supervisor and organizational factors associated with supervisor support of job accommodations for low back injured workers

PubMed Central

Kristman, Vicki L; Shaw, William S.; Reguly, Paula; Williams-Whitt, Kelly; Soklaridis, Sophie; Loisel, Patrick

2016-01-01

PURPOSE Temporary job accommodations contribute to the prevention of chronic work disability due to low back pain (LBP) through the facilitation of early return to work; yet, workplace dimensions of job accommodation are poorly understood. The objective of this study was to determine supervisor and organizational factors associated with supervisors’ support for temporary job accommodations for LBP injured workers. METHODS Supervisors were recruited from 19 workplaces in the USA and Canada and completed an online survey regarding job accommodation practices and potential associated factors with respect to a case vignette of a worker with LBP. Multivariable linear regression was used to identify the most parsimonious set of factors associated with supervisors’ support for accommodations. RESULTS A total of 804 supervisors participated with 796 eligible for inclusion in the analysis. The final set of factors explained 21% of the variance in supervisors’ support for temporary job accommodations. Considerate leadership style (β = .261; 95 % CI: .212, .310), workplace disability management policies and practices (β = .243; 95 % CI: .188, .298), and supervisor autonomy for designing and providing workplace accommodations (β = .156; 95 % CI: .071, .241) had the largest effect on supervisor support for accommodations. CONCLUSION Factors predicting supervisors’ likelihood to accommodate LBP injured workers include use of considerate leadership style, workplace disability management policies and practices, and supervisor autonomy. Workplace interventions targeting these factors should be developed and evaluated for their ability to improve work disability prevention outcomes. PMID:27032398

Factor analysis of the Mayo-Portland Adaptability Inventory: structure and validity.

PubMed

Bohac, D L; Malec, J F; Moessner, A M

1997-07-01

Principal-components (PC) factor analysis of the Mayo-Portland Adaptability Inventory (MPAI) was conducted using a sample of outpatients (n = 189) with acquired brain injury (ABI) to evaluate whether outcome after ABI is multifactorial or unifactorial in nature. An eight-factor model was derived which explained 64-4% of the total variance. The eight factors were interpreted as representing Activities of Daily Living, Social Initiation, Cognition, Impaired-Self-awareness/Distress, Social Skills/ Support, Independence, Visuoperceptual, and Psychiatric, respectively. Validation of the Cognition factor was supported when factor scores were correlated with various neuropsychological measures. In addition, 117 patient self-rating total scores were used to evaluate the Impaired Self-awareness/Distress factor. An inverse relationship was observed, supporting this factor's ability to capture the two-dimensional phenomena of diminished self-awareness or enhanced emotional distress. A new subscale structure is suggested, that may allow greater clinical utility in understanding how ABI manifests in patients, and may provide clinicians with a better structure for implementing treatment strategies to address specific areas of impairment and disability for specific patients. Additionally, more precise measurement of treatment outcomes may be afforded by this reorganization.

Analysis of factors that influencing the interest of Bali State Polytechnic’s students in entrepreneurship

NASA Astrophysics Data System (ADS)

Ayuni, N. W. D.; Sari, I. G. A. M. K. K.

2018-01-01

The high rate of unemployment results the economic growth to be hampered. To solve this situation, the government try to change the students’ mindset from becoming a job seeker to become a job creator or entrepreneur. One real action that usually been held in Bali State Polytechnic is Student Entrepreneurial Program. The purpose of this research is to identify and analyze the factors that influence the interest of Bali State Polytechnic’s Students in entrepreneurship, especially in the Entrepreneurial Student Program. Method used in this research is Factor Analysis including Bartlett Test, Kaiser-Mayer Olkin (KMO), Measure of Sampling Adequacy (MSA), factor extraction using Principal Component Analysis (PCA), factor selection using eigen value and scree plot, and factor rotation using orthogonal rotation varimax. Result shows that there are four factors that influencing the interest of Bali State Polytechnic’s Students in Entrepreneurship which are Contextual Factor (including Entrepreneurship Training, Academic Support, Perceived Confidence, and Economic Challenge), Self Efficacy Factor (including Leadership, Mental Maturity, Relation with Entrepreneur, and Authority), Subjective Norm Factor (including Support of Important Relative, Support of Friends, and Family Role), and Attitude Factor (including Self Realization).

Confirmatory Factor Analysis of the Delirium Rating Scale Revised-98 (DRS-R98).

PubMed

Thurber, Steven; Kishi, Yasuhiro; Trzepacz, Paula T; Franco, Jose G; Meagher, David J; Lee, Yanghyun; Kim, Jeong-Lan; Furlanetto, Leticia M; Negreiros, Daniel; Huang, Ming-Chyi; Chen, Chun-Hsin; Kean, Jacob; Leonard, Maeve

2015-01-01

Principal components analysis applied to the Delirium Rating Scale-Revised-98 contributes to understanding the delirium construct. Using a multisite pooled international delirium database, the authors applied confirmatory factor analysis to Delirium Rating Scale-Revised-98 scores from 859 adult patients evaluated by delirium experts (delirium, N=516; nondelirium, N=343). Confirmatory factor analysis found all diagnostic features and core symptoms (cognitive, language, thought process, sleep-wake cycle, motor retardation), except motor agitation, loaded onto factor 1. Motor agitation loaded onto factor 2 with noncore symptoms (delusions, affective lability, and perceptual disturbances). Factor 1 loading supports delirium as a single construct, but when accompanied by psychosis, motor agitation's role may not be solely as a circadian activity indicator.

[Social support status and related influential factors of patients with acute coronary syndrome].

PubMed

Lei, S; Ding, R J; Wang, L; Xia, K; Zhang, L J; Yao, D K; Hu, D Y

2017-05-24

Objectives: To investigate the social support status, related influential factors and the impact on one year outcome in patients with acute coronary syndrome (ACS), our data might be helpful to provide basis for making new treatment strategy aimed at improving social support for patients with ACS. Methods: From January 2013 to June 2014, a total of 778 hospitalized patients with ACS were enrolled in the study. All patients completed enhancing recovery in coronary heart disease patients social support inventory(ESSI), general anxiety disorder scale(GAD-7), patient health questionnaire(PHQ-9), short-form 12 health survey questionnaire(SF-12), sleep questionnaire and demographic questionnaire within 7 days after admission and at 6 months and one year post discharge. Multiple linear regressions were performed to analyze factors that influenced the social support. Results: The total score of social support was 17.08±3.61, 17.72±3.04, and 17.76±3.05 respectively in patients with ACS at baseline, 6 months and 12 months after discharge. Patients had a higher point of social support at 6 months ( t =-2.69, P <0.01) and 12 months ( t =-2.86, P <0.01) after discharge than at baseline. Multiple regression analysis for baseline data identified five significant predictors of low social support status: workers or farmers ( t =2.82, P <0.01), low family monthly income ( t =2.42, P <0.05), anxiety ( t =-3.66, P <0.01), depression ( t =-3.22, P <0.01) and low quality of life ( t =4.38, P <0.01). Conclusions: Social support of patients with ACS is lower in China, and there are significant relationships between low social support and occupation, economic status, anxiety, depression, quality of life of ACS patients.

Factors associated with integrating self-management support into primary care.

PubMed

Crespo, Richard; Shrewsberry, Molly

2007-06-01

The purpose of this article is to expand the understanding of self-management support by describing factors that contribute to implementing a comprehensive self-management program in primary care. Four rural health centers in medically underserved areas participated in a study to document the implementation of a self-management program. This program consisted of a social marketing plan and decision-making tools to guide patients in making self-management behavior changes. The stages of change constructs of the transtheoretical model were used to design the social marketing plan. Key informant interviews were conducted at 6-month and 9-month intervals to document the implementation process. A standardized set of questions was used in the interviews. The data from the interviews were analyzed using content analysis techniques. One of the principle findings is that self-management support requires putting a system in place, not just adding a new component to primary care. The health centers that fully implemented the self-management program made an organizational commitment to keep self-management on the agenda in management meetings, clinical staff set the example by adopting self-management behaviors, and patient self-management support was implemented in multiple patient care venues. Primary care centers with limited financial resources are able to integrate self-management support into their system of chronic illness care.

Confirmatory Factor Analysis of the WISC-IV in a Hospital Referral Sample

ERIC Educational Resources Information Center

Devena, Sarah E.; Gay, Catherine E.; Watkins, Marley W.

2013-01-01

Confirmatory factor analysis was used to determine the factor structure of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) scores of 297 children referred to a children's hospital in the Southwestern United States. Results support previous findings that indicate the WISC-IV is best represented by a direct hierarchical…

Supervisor and Organizational Factors Associated with Supervisor Support of Job Accommodations for Low Back Injured Workers.

PubMed

Kristman, Vicki L; Shaw, William S; Reguly, Paula; Williams-Whitt, Kelly; Soklaridis, Sophie; Loisel, Patrick

2017-03-01

Purpose Temporary job accommodations contribute to the prevention of chronic work disability due to low back pain (LBP) through the facilitation of early return to work; yet, workplace dimensions of job accommodation are poorly understood. The objective of this study was to determine supervisor and organizational factors associated with supervisors' support for temporary job accommodations for LBP injured workers. Methods Supervisors were recruited from 19 workplaces in the USA and Canada and completed an online survey regarding job accommodation practices and potential associated factors with respect to a case vignette of a worker with LBP. Multivariable linear regression was used to identify the most parsimonious set of factors associated with supervisors' support for accommodations. Results A total of 804 supervisors participated with 796 eligible for inclusion in the analysis. The final set of factors explained 21 % of the variance in supervisors' support for temporary job accommodations. Considerate leadership style (β = 0.261; 95 % CI 0.212, 0.310), workplace disability management policies and practices (β = 0.243; 95 % CI 0.188, 0.298), and supervisor autonomy for designing and providing workplace accommodations (β = 0.156; 95 % CI 0.071, 0.241) had the largest effect on supervisor support for accommodations. Conclusion Factors predicting supervisors' likelihood to accommodate LBP injured workers include use of considerate leadership style, workplace disability management policies and practices, and supervisor autonomy. Workplace interventions targeting these factors should be developed and evaluated for their ability to improve work disability prevention outcomes.

Human-factors engineering for smart transport: design support for car drivers and train traffic controllers.

PubMed

Lenior, Dick; Janssen, Wiel; Neerincx, Mark; Schreibers, Kirsten

2006-07-01

The theme Smart Transport can be described as adequate human-system symbiosis to realize effective, efficient and human-friendly transport of goods and information. This paper addresses how to attune automation to human (cognitive) capacities (e.g. to take care of information uncertainty, operator trust and mutual man-machine adaptations). An introduction to smart transport is presented, including examples of best practice for engineering human factors in the vehicle ergonomics and train traffic control domain. The examples are representative of an ongoing trend in automation and they show how the human role changes from controller to supervisor. Section 2 focuses on the car driver and systems that support, or sometimes even take over, critical parts of the driving task. Due to the diversity of driver ability, driving context and dependence between driver and context factors, there is a need for personalised, adaptive and integrated support. Systematic research is needed to establish sound systems. Section 3 focuses on the train dispatcher support systems that predict train movements, detect potential conflicts and show the dispatcher the possibilities available to solve the detected problems. Via thorough analysis of both the process to be controlled and the dispatcher's tasks and cognitive needs, support functions were developed as part of an already very complex supervision and control system. The two examples, although from a different field, both show the need for further development in cognitive modelling as well as for the value of sound ergonomics task analysis in design practice.

Intrapersonal, interpersonal, and contextual risk factors for overprovision of partner support in marriage.

PubMed

Brock, Rebecca L; Lawrence, Erika

2014-02-01

Recent research indicates that receiving too much support from one's spouse (i.e., overprovision of support) is actually more detrimental to marriage than not receiving enough support. The principal goal of the present study was to develop a novel framework for explaining the pathways through which couples experience overprovision of support in their marriages. Intrapersonal factors (anxious and avoidant attachment), interpersonal factors (conflict management and emotional intimacy), and contextual factors (stress originating outside of the marriage) were assessed during the transition into marriage as potential risk factors for experiencing higher levels of support overprovision during the first 5 years of marriage in a sample of 103 couples using growth curve analytic techniques. To the extent that (a) husbands were higher in avoidant attachment, (b) husbands reported greater chronic role strain, and (c) couples had lower levels of emotional intimacy, support overprovision was greater for both husbands and wives. In addition, emotional intimacy (lower levels) was a partial pathway through which husband avoidant attachment contributed to support overprovision. Finally, factors placing couples at risk for support overprovision in their marriages appear to be distinct from those increasing the risk for support underprovision. The potential for results to inform contemporary marital theories and marital preparation programs is discussed.

Using Horn's Parallel Analysis Method in Exploratory Factor Analysis for Determining the Number of Factors

ERIC Educational Resources Information Center

Çokluk, Ömay; Koçak, Duygu

2016-01-01

In this study, the number of factors obtained from parallel analysis, a method used for determining the number of factors in exploratory factor analysis, was compared to that of the factors obtained from eigenvalue and scree plot--two traditional methods for determining the number of factors--in terms of consistency. Parallel analysis is based on…

Factors Related to Sustained Implementation of Schoolwide Positive Behavior Support

ERIC Educational Resources Information Center

McIntosh, Kent; Mercer, Sterett H.; Hume, Amanda E.; Frank, Jennifer L.; Turri, Mary G.; Mathews, Susanna

2013-01-01

The purpose of this study was to identify factors associated with sustainability of school-based interventions and the relative contributions of those factors to predicting sustained implementation of Schoolwide Positive Behavior Support (SWPBS). Participants were respondents from 217 schools across 14 U.S. states. Sustainability factors were…

Group Psychotherapeutic Factors and Perceived Social Support Among Veterans With PTSD Symptoms.

PubMed

Cox, Daniel W; Owen, Jess J; Ogrodniczuk, John S

2017-02-01

One of the most potent protective factors against psychiatric symptoms after military trauma is perceived social support. Although group psychotherapy has been linked with increasing social support, no research has evaluated which therapeutic mechanisms are associated with this increase beyond symptom reduction. We investigated which interpersonal therapeutic factors were related to changes in social support, beyond posttraumatic stress disorder (PTSD) symptom reduction. Participants were 117 veterans in a multimodal outpatient group psychotherapy treatment designed to reduce PTSD symptoms and interpersonal difficulties. Generally, therapeutic factors were related to improvements in social support from baseline to posttreatment beyond the effects of PTSD symptom reduction. Specifically, social learning was associated with changes in appraisal support, secure emotional expression was associated with changes in tangible support, and neither was associated with changes in belonging support. Depending on the goals of treatment, understanding these variations are important so clinicians and researchers can appropriately design and target their interventions to facilitate desired changes.

Organizational Support in Online Learning Environments: Examination of Support Factors in Corporate Online Learning Implementation

ERIC Educational Resources Information Center

Schultz, Thomas L.; Correia, Ana-Paula

2015-01-01

This article explores the role of different types of support in corporate online learning programs. Most research has not specifically focused on all of the support factors required to provide a corporate online learning program, although many research studies address several in regards to the research outcome. An effort was made in this article…

Confirmatory factor analysis of the female sexual function index.

PubMed

Opperman, Emily A; Benson, Lindsay E; Milhausen, Robin R

2013-01-01

The Female Sexual Functioning Index (Rosen et al., 2000 ) was designed to assess the key dimensions of female sexual functioning using six domains: desire, arousal, lubrication, orgasm, satisfaction, and pain. A full-scale score was proposed to represent women's overall sexual function. The fifth revision to the Diagnostic and Statistical Manual (DSM) is currently underway and includes a proposal to combine desire and arousal problems. The objective of this article was to evaluate and compare four models of the Female Sexual Functioning Index: (a) single-factor model, (b) six-factor model, (c) second-order factor model, and (4) five-factor model combining the desire and arousal subscales. Cross-sectional and observational data from 85 women were used to conduct a confirmatory factor analysis on the Female Sexual Functioning Index. Local and global goodness-of-fit measures, the chi-square test of differences, squared multiple correlations, and regression weights were used. The single-factor model fit was not acceptable. The original six-factor model was confirmed, and good model fit was found for the second-order and five-factor models. Delta chi-square tests of differences supported best fit for the six-factor model validating usage of the six domains. However, when revisions are made to the DSM-5, the Female Sexual Functioning Index can adapt to reflect these changes and remain a valid assessment tool for women's sexual functioning, as the five-factor structure was also supported.

Determining the Number of Factors in P-Technique Factor Analysis

ERIC Educational Resources Information Center

Lo, Lawrence L.; Molenaar, Peter C. M.; Rovine, Michael

2017-01-01

Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A…

18 CFR 300.12 - Analysis of supporting data.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 18 Conservation of Power and Water Resources 1 2011-04-01 2011-04-01 false Analysis of supporting... APPROVAL OF THE RATES OF FEDERAL POWER MARKETING ADMINISTRATIONS Filing Requirements § 300.12 Analysis of supporting data. (a) An analysis of the data provided under § 300.11 must be supported by an appropriate...

18 CFR 300.12 - Analysis of supporting data.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 18 Conservation of Power and Water Resources 1 2010-04-01 2010-04-01 false Analysis of supporting... APPROVAL OF THE RATES OF FEDERAL POWER MARKETING ADMINISTRATIONS Filing Requirements § 300.12 Analysis of supporting data. (a) An analysis of the data provided under § 300.11 must be supported by an appropriate...

Attitudinal Factors and Personal Characteristics Influence Support for Shellfish Aquaculture in Rhode Island (US) Coastal Waters.

PubMed

Dalton, Tracey M; Jin, Di

2018-05-01

This study explores public interests associated with shellfish aquaculture development in coastal waters of Rhode Island (US). Specifically, we examine (1) the levels of public support for (or opposition to) shellfish aquaculture development and (2) factors driving the levels of support, using survey data and ordinal logistic regressions. Results of the analysis identify several key attitudinal factors affecting individual's support for shellfish aquaculture in Rhode Island (RI). The level of support is positively associated with attitudes related to shellfish aquaculture's benefits to the local economy and its role as a nutritional food option, and negatively influenced by attitudes related to aquaculture farms' effects on aesthetic quality and their interference with other uses. Findings highlight that support for (or opposition to) aquaculture in RI is driven more by attitudes associated with social impacts than by those associated with environmental impacts. The level of support is also affected by personal characteristics related to an individual's participation in recreational activities. For instance, bicycle riders tend to be supportive of shellfish aquaculture while respondents who participate in sailing and birding are less supportive. By identifying the broader public's interests in shellfish aquaculture, findings from this study and others like it can be used to address public concerns, incorporate public perceptions and attitudes into permitting decisions, and develop outreach targeted at specific stakeholder groups.

[Social support as a protective factor of recurrence after drug addiction treatment].

PubMed

Garmendia, María Luisa; Alvarado, María Elena; Montenegro, Mariano; Pino, Paulina

2008-02-01

Lack of social support can be one of the factors that influences recurrences of drug consumption after treatment of addictions. To assess the role of social support in maintaining drug abstinence after treatment. We studied 306 subjects that were treated in drug addiction centers, financed by the National Council for Drug Control (CONACE). At discharge, social and demographic data were recorded and the Medical Outcomes Study (MOS) questionnaire was given to evaluate social support. Subjects that achieved abstinence at the moment of discharge were contacted six months later and interrogated about eventual drug consumption thereafter. One hundred fifty three (76% male, aged 32+/-10 years) of 197 abstinent subjects at discharge, were located six months later. Of these, 108 (71%) were not consuming drugs. On univariate analysis, social support had a protective effect against recurrence of drug consumption (OR-0.98; CI 95%=0.96-0.99). This effect remained significant after adjusting for age, sex, occupational situation, mental health self-assessment, family history of alcohol and drug consumption, type of drug treatment and type of discharge as confounding variables (OR=0.97; CI 95%=0.94-0.99). These data provide evidence that social support protects against recurrence into drug consumption at least up to six months. Long-term effects should be evaluated.

Exploratory factor analysis of the Clinical Learning Environment, Supervision and Nurse Teacher Scale (CLES+T).

PubMed

Watson, Paul Barry; Seaton, Philippa; Sims, Deborah; Jamieson, Isabel; Mountier, Jane; Whittle, Rose; Saarikoski, Mikko

2014-01-01

The Clinical Learning Environment, Supervision and Nurse Teacher (CLES+T) scale measures student nurses' perceptions of clinical learning environments. This study evaluates the construct validity and internal reliability of the CLES+T in hospital settings in New Zealand. Comparisons are made between New Zealand and Finnish data. The CLES+T scale was completed by 416 Bachelor of Nursing students following hospital clinical placements between October 2008 and December 2009. Construct validity and internal reliability were assessed using exploratory factor analysis and Cronbach's alpha. Exploratory factor analysis supports 4 factors. Cronbach's alpha ranged from .82 to .93. All items except 1 loaded on the same factors found in unpublished Finnish data. The first factor combined 2 previous components from the published Finnish component analysis and was renamed: connecting with, and learning in, communities of clinical practice. The remaining 3 factors (Nurse teacher, Supervisory relationship, and Leadership style of the manager) corresponded to previous components and their conceptualizations. The CLES+T has good internal reliability and a consistent factor structure across samples. The consistency across international samples supports faculties and hospitals using the CLES+T to benchmark the quality of clinical learning environments provided to students.

Spool assembly support analysis

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

Norman, B.F.

1994-10-07

This document provides the wind/seismic analysis and evaluation for the pump pit spool assemblies. Hand calculations were used for the analysis. UBC, AISC, and load factors were used in this evaluation. The results show that the actual loads are under the allowable loads and all requirements are met.

Factor Analysis of the Alcohol and Drug Confrontation Scale (ADCS)

PubMed Central

Polcin, Douglas L.; Galloway, Gantt P.; Bostrom, Alan; Greenfield, Thomas K.

2007-01-01

The Alcohol and Drug Confrontation Scale (ADCS) is a 72-item instrument that defines confrontation as an individual being told “bad things” might happen if they do not make changes to address alcohol or drug problems or maintain sobriety. Preliminary assessment of the ADCS using substance abusers entering SLH's revealed: 1) Scale items were frequently endorsed; 2) Confrontation was often experienced as accurate and helpful; and 3) Confronters' statements were viewed supportive and accurate. This study reports the results of a factor analysis on a larger sample 179 participants using baseline and 6 month follow-up data. Results yielded a clear two factor solution: 1) Internal Support (alpha = 0.80) and 2) External Intensity (alpha = 0.63). The two factors accounted for 58% of the variance. The ADCS offers a fresh and broader view of confrontation that can be reliably measured. PMID:17270360

Perceived social support following percutaneous coronary intervention is a crucial factor in patients with coronary heart disease.

PubMed

Kähkönen, Outi; Kankkunen, Päivi; Miettinen, Heikki; Lamidi, Marja-Leena; Saaranen, Terhi

2017-05-01

To describe perceived social support among patients with coronary heart disease following percutaneous coronary intervention. A low level of social support is considered a risk factor for coronary heart disease in healthy individuals and reduces the likelihood that people diagnosed with coronary heart disease will have a good prognosis. A descriptive cross-sectional study. A survey of 416 patients was conducted in 2013. A self-report instrument, Social Support of People with Coronary Heart Disease, was used. The instrument comprises three dimensions of social support: informational, emotional, functional supports and 16 background variables. Data were analysed using descriptive statistics, factor analysis, mean sum variables and multivariate logistic regression. Perceived informational support was primarily high, but respondents' risk factors were not at the target level. The weakest items of informational support were advice on physical activity, continuum of care and rehabilitation. Regarding the items of emotional support, support from other cardiac patients was the weakest. The weakest item of functional support was respondents' sense of the healthcare professionals' care of patients coping with their disease. Background variables associated with perceived social support were gender, marital status, level of formal education, profession, physical activity, duration of coronary heart disease and previous myocardial infarction. Healthcare professionals should pay extra attention to women, single patients, physically inactive patients, those demonstrating a lower level of education, those with a longer duration of CHD, and respondents without previous acute myocardial infarction. Continuum of care and counselling are important to ensure especially among them. This study provides evidence that healthcare professionals should be more aware of the individual needs for social support among patients with coronary heart disease after percutaneous coronary intervention

Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

DOE Data Explorer

Teresa E. Jordan

2015-09-30

This submission contains information used to compute the risk factors for the GPFA-AB project (DE-EE0006726). The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking the product, sum, and minimum of the four risk factors. The files are divided into images, rasters, shapefiles, and supporting information. The image files show what the raster and shapefiles should look like. The raster files contain the input risk factors, calculation of the scaled risk factors, and calculation of the combined risk factors. The shapefiles include definition of the fairways, definition of the US Census Places, the center of the raster cells, and locations of industries. Supporting information contains details of the calculations or processing used in generating the files. An image of the raster will have the same name except *.png as the file ending instead of *.tif. Images with “fairways” or “industries” added to the name are composed of a raster with the relevant shapefile added. The file About_GPFA-AB_Phase1RiskAnalysisTask5DataUpload.pdf contains information the citation, special use considerations, authorship, etc. More details on each file are given in the spreadsheet “list_of_contents.csv” in the folder “SupportingInfo”. Code used to calculate values is available at https://github.com/calvinwhealton/geothermal_pfa under the folder “combining_metrics”.

1991 NASA Life Support Systems Analysis workshop

NASA Technical Reports Server (NTRS)

Evanich, Peggy L.; Crabb, Thomas M.; Gartrell, Charles F.

1992-01-01

The 1991 Life Support Systems Analysis Workshop was sponsored by NASA Headquarters' Office of Aeronautics and Space Technology (OAST) to foster communication among NASA, industrial, and academic specialists, and to integrate their inputs and disseminate information to them. The overall objective of systems analysis within the Life Support Technology Program of OAST is to identify, guide the development of, and verify designs which will increase the performance of the life support systems on component, subsystem, and system levels for future human space missions. The specific goals of this workshop were to report on the status of systems analysis capabilities, to integrate the chemical processing industry technologies, and to integrate recommendations for future technology developments related to systems analysis for life support systems. The workshop included technical presentations, discussions, and interactive planning, with time allocated for discussion of both technology status and time-phased technology development recommendations. Key personnel from NASA, industry, and academia delivered inputs and presentations on the status and priorities of current and future systems analysis methods and requirements.

Using confirmatory factor analysis to explore associated factors of intimate partner violence in a sample of Chinese rural women: a cross-sectional study

PubMed Central

Cerulli, Catherine; Wittink, Marsha N,; Caine, Eric D.; Qiu, Peiyuan

2018-01-01

Objectives To estimate the prevalence of intimate partner violence (IPV) among a sample of rural Chinese women and to explore associated factors. Design Cross-sectional study. Setting Rural areas of Guangyuan City, Sichuan, China. Participants We recruited 1501 women, aged 16 years and older, who had been living locally for at least 2 years and reported being married or in a relationship during the past 12 months. They were among a sample of 1898 potential participants from our larger parent study on the prevalence of depressive-distress symptoms. Methods Participants completed demographic and social economic measures, the Short Form of the Revised Conflict Tactics Scale and the Duke Social Support Index. We applied χ2 test, analysis of variance and confirmatory factor analysis for analysis. Results The overall prevalence of IPV in the past 12 months was 29.05%; the prevalence of physical, psychological and sexual violence was 7.66%, 26.58% and 3.20%, respectively. The overall prevalence was highest among women aged 16–29 years, and was more common among those without a high school diploma and who saw their family’s financial status as very poor or stagnant. Women who were not victims of IPV had higher levels of social support. Confirmatory factor analysis showed that the total effects of social support on physical, psychological and sexual violence were −0.12, –0.35 and −0.12, respectively. The indirect effects of objective economic status on physical, psychological and sexual violence were −0.047, –0.014 and −0.047, respectively, but the total effect was not significant. The indirect effect of education on psychological violence was −0.056. Conclusion IPV is common in rural Guangyuan. Our data are comparable with the findings from north-west of China. Social support is an important protective factor. Future work is needed to develop, test and later disseminate potential IPV interventions, with a focus on building actual and perceived supportive

Information system support as a critical success factor for chronic disease management: Necessary but not sufficient.

PubMed

Green, Carolyn J; Fortin, Patricia; Maclure, Malcolm; Macgregor, Art; Robinson, Sylvia

2006-12-01

Improvement of chronic disease management in primary care entails monitoring indicators of quality over time and across patients and practices. Informatics tools are needed, yet implementing them remains challenging. To identify critical success factors enabling the translation of clinical and operational knowledge about effective and efficient chronic care management into primary care practice. A prospective case study of positive deviants using key informant interviews, process observation, and document review. A chronic disease management (CDM) collaborative of primary care physicians with documented improvement in adherence to clinical practice guidelines using a web-based patient registry system with CDM guideline-based flow sheet. Thirty community-based physician participants using predominantly paper records, plus a project management team including the physician lead, project manager, evaluator and support team. A critical success factor (CSF) analysis of necessary and sufficient pathways to the translation of knowledge into clinical practice. A web-based CDM 'toolkit' was found to be a direct CSF that allowed this group of physicians to improve their practice by tracking patient care processes using evidence-based clinical practice guideline-based flow sheets. Moreover, the information and communication technology 'factor' was sufficient for success only as part of a set of seven direct CSF components including: health delivery system enhancements, organizational partnerships, funding mechanisms, project management, practice models, and formal knowledge translation practices. Indirect factors that orchestrated success through the direct factor components were also identified. A central insight of this analysis is that a comprehensive quality improvement model was the CSF that drew this set of factors into a functional framework for successful knowledge translation. In complex primary care settings environment where physicians have low adoption rates of

Teachers' support and depression among Japanese adolescents: a multilevel analysis.

PubMed

Mizuta, Akiko; Suzuki, Kohta; Yamagata, Zentaro; Ojima, Toshiyuki

2017-02-01

Depression is a major cause of suicide among adolescents. Therefore, childhood and adolescent depression is an important public health concern. This study explored factors as class and individual levels that may influence depression among adolescents in Japan. A questionnaire survey among junior high school students (N = 2968) from two cities in Japan was conducted. Depression was assessed using the Depression Self-Rating Scale for Children; teachers' support was assessed using the Scale of Expectancy for Social Support. The class average score of teachers' support was calculated to indicate what we termed the "homeroom teachers' support." Multilevel analysis was applied to clarify the relation between homeroom teachers' support and depression. Finally, 2466 students completed the questionnaire without missing variables (valid response rate, 83.1%). There was no random effect of the teachers' support at the class level on depression, although there was a significant association between teachers' support and depression for 9th graders (β = -0.12, p = 0.009). Moreover, there were significant associations between economic status, having a best friend, and experiencing unforgettable stress at the individual level and depression in all grades. There was no significant random effect of homeroom teachers' support in class level although there might be marginal negative association between teacher's support and depression. It is suggested that homeroom teachers need to promote population approaches to mental health.

Family Engagement in Literacy Activities: Revised Factor Structure for the Familia--An Instrument Examining Family Support for Early Literacy Development

ERIC Educational Resources Information Center

Buhs, Eric S.; Welch, Greg; Burt, Jennifer; Knoche, Lisa

2011-01-01

This study evaluated a data-set drawn using "The Familia"--a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43…

Factor analysis methods and validity evidence: A systematic review of instrument development across the continuum of medical education

NASA Astrophysics Data System (ADS)

Wetzel, Angela Payne

Previous systematic reviews indicate a lack of reporting of reliability and validity evidence in subsets of the medical education literature. Psychology and general education reviews of factor analysis also indicate gaps between current and best practices; yet, a comprehensive review of exploratory factor analysis in instrument development across the continuum of medical education had not been previously identified. Therefore, the purpose for this study was critical review of instrument development articles employing exploratory factor or principal component analysis published in medical education (2006--2010) to describe and assess the reporting of methods and validity evidence based on the Standards for Educational and Psychological Testing and factor analysis best practices. Data extraction of 64 articles measuring a variety of constructs that have been published throughout the peer-reviewed medical education literature indicate significant errors in the translation of exploratory factor analysis best practices to current practice. Further, techniques for establishing validity evidence tend to derive from a limited scope of methods including reliability statistics to support internal structure and support for test content. Instruments reviewed for this study lacked supporting evidence based on relationships with other variables and response process, and evidence based on consequences of testing was not evident. Findings suggest a need for further professional development within the medical education researcher community related to (1) appropriate factor analysis methodology and reporting and (2) the importance of pursuing multiple sources of reliability and validity evidence to construct a well-supported argument for the inferences made from the instrument. Medical education researchers and educators should be cautious in adopting instruments from the literature and carefully review available evidence. Finally, editors and reviewers are encouraged to recognize

Factor Analysis of the Minnesota Infant Development Inventory Based on a Hispanic Migrant Population.

ERIC Educational Resources Information Center

Reilly, Amysue; Eaves, Ronald C.

2000-01-01

Completed the Minnesota Infant Development Inventory (MIDI), a parental report instrument, for 168 infants of Hispanic migrant workers and performed factor analysis of the MIDI scores. Results suggest that the one-factor solution is best for infants from Hispanic migrant families until future research supports other practices. (SLD)

A Survey of Logic Formalisms to Support Mishap Analysis

NASA Technical Reports Server (NTRS)

Johnson, Chris; Holloway, C. M.

2003-01-01

Mishap investigations provide important information about adverse events and near miss incidents. They are intended to help avoid any recurrence of previous failures. Over time, they can also yield statistical information about incident frequencies that helps to detect patterns of failure and can validate risk assessments. However, the increasing complexity of many safety critical systems is posing new challenges for mishap analysis. Similarly, the recognition that many failures have complex, systemic causes has helped to widen the scope of many mishap investigations. These two factors have combined to pose new challenges for the analysis of adverse events. A new generation of formal and semi-formal techniques have been proposed to help investigators address these problems. We introduce the term mishap logics to collectively describe these notations that might be applied to support the analysis of mishaps. The proponents of these notations have argued that they can be used to formally prove that certain events created the necessary and sufficient causes for a mishap to occur. These proofs can be used to reduce the bias that is often perceived to effect the interpretation of adverse events. Others have argued that one cannot use logic formalisms to prove causes in the same way that one might prove propositions or theorems. Such mechanisms cannot accurately capture the wealth of inductive, deductive and statistical forms of inference that investigators must use in their analysis of adverse events. This paper provides an overview of these mishap logics. It also identifies several additional classes of logic that might also be used to support mishap analysis.

Patient factors that influence clinicians' decision making in self-management support: A clinical vignette study.

PubMed

Bos-Touwen, Irene D; Trappenburg, Jaap C A; van der Wulp, Ineke; Schuurmans, Marieke J; de Wit, Niek J

2017-01-01

Self-management support is an integral part of current chronic care guidelines. The success of self-management interventions varies between individual patients, suggesting a need for tailored self-management support. Understanding the role of patient factors in the current decision making of health professionals can support future tailoring of self-management interventions. The aim of this study is to identify the relative importance of patient factors in health professionals' decision making regarding self-management support. A factorial survey was presented to primary care physicians and nurses. The survey consisted of clinical vignettes (case descriptions), in which 11 patient factors were systematically varied. Each care provider received a set of 12 vignettes. For each vignette, they decided whether they would give this patient self-management support and whether they expected this support to be successful. The associations between respondent decisions and patient factors were explored using ordered logit regression. The survey was completed by 60 general practitioners and 80 nurses. Self-management support was unlikely to be provided in a third of the vignettes. The most important patient factor in the decision to provide self-management support as well as in the expectation that self-management support would be successful was motivation, followed by patient-provider relationship and illness perception. Other factors, such as depression or anxiety, education level, self-efficacy and social support, had a small impact on decisions. Disease, disease severity, knowledge of disease, and age were relatively unimportant factors. This is the first study to explore the relative importance of patient factors in decision making and the expectations regarding the provision of self-management support to chronic disease patients. By far, the most important factor considered was patient's motivation; unmotivated patients were less likely to receive self-management support

Exploratory factor analysis of the Research and Development Culture Index among qualified nurses.

PubMed

Watson, Bill; Clarke, Charlotte; Swallow, Vera; Forster, Stewart

2005-10-01

This paper presents the exploratory factor analysis of a rating instrument for assessing the strength of organizational Research and Development (R&D) culture. Despite nursing's limited research capacity, the discipline is capitalizing upon opportunities to become involved in research and is making strong progress. Within the context of the debate on nursing research capacity, the R&D Culture Index was developed as a means of appraising R&D culture within health care organizations. Factor analysis was carried out on data collected from 485 nursing staff. The method of extraction was Principal Components Analysis with oblique rotation. The Index was developed from the findings of qualitative research conducted with NHS staff. Eighteen items, encompassing the main themes from the data, were initially included in the Index. This pilot instrument was distributed to nursing staff within three different types of NHS Trust. Factor analysis resulted in rejection of two items and the analysis was repeated using the remaining 16 items. Three latent factors were extracted accounting for 58.0% of the variance in the data. The factors were: R&D Support, describing the perceived support within the working environment for R&D activity; Personal R&D Skills and Aptitude, describing an individual's perception of their ability towards R&D activity; and Personal R&D Intention, describing an individual's willingness to engage in R&D activity. Each factor had good internal reliability, as did the overall index. The R&D Culture Index provides an efficient means of assessing the strength of an organization's R&D culture in a way that captures the role of the individual practitioner and the organizational environment. These findings suggest that the continuing promotion of R&D within health care organizations is dependent upon a multi-faceted approach that addresses the learning needs of the organization as well as those of the individual practitioners.

The predictive factors for perceived social support among cancer patients and caregiver burden of their family caregivers in Turkish population.

PubMed

Oven Ustaalioglu, Basak; Acar, Ezgi; Caliskan, Mecit

2018-03-01

We aimed to identify the predictive factors for the perceived family social support among cancer patients and caregiver burden of their family caregivers. Participants were 302 cancer patients and their family caregivers. Family social support scale was used for cancer patients, burden interview was used for family caregivers.All subjects also completed Beck depression invantery. The related socio-demographical factors with perceived social support (PSS) and caregiver burden were evaluated by correlation analysis. To find independent factors predicting caregiver burden and PSS, logistic regression analysis were conducted. Depression scores was higher among patients than their family caregivers (12.5 vs. 8). PSS was lower in depressed patients (p < .001). Family caregiver burden were also higher in depressive groups (p < .001). Among patients only the depression was negatively correlated with PSS (p < .001, r = -2.97). Presence of depression (p < .001, r = 0.381) was positively correlated and family caregiver role was negatively correlated (p < .001, r = -0.208) with caregiver burden. Presence of depression was the independent predictor for both, lower PSS for patients and higher burden for caregivers. The results of this study is noteworthy because it may help for planning any supportive care program not only for patients but together with their caregiver at the same time during chemotherapy period in Turkish population.

1992 NASA Life Support Systems Analysis workshop

NASA Technical Reports Server (NTRS)

Evanich, Peggy L.; Crabb, Thomas M.; Gartrell, Charles F.

1992-01-01

The 1992 Life Support Systems Analysis Workshop was sponsored by NASA's Office of Aeronautics and Space Technology (OAST) to integrate the inputs from, disseminate information to, and foster communication among NASA, industry, and academic specialists. The workshop continued discussion and definition of key issues identified in the 1991 workshop, including: (1) modeling and experimental validation; (2) definition of systems analysis evaluation criteria; (3) integration of modeling at multiple levels; and (4) assessment of process control modeling approaches. Through both the 1991 and 1992 workshops, NASA has continued to seek input from industry and university chemical process modeling and analysis experts, and to introduce and apply new systems analysis approaches to life support systems. The workshop included technical presentations, discussions, and interactive planning, with sufficient time allocated for discussion of both technology status and technology development recommendations. Key personnel currently involved with life support technology developments from NASA, industry, and academia provided input to the status and priorities of current and future systems analysis methods and requirements.

Growth factor-functionalized silk membranes support wound healing in vitro.

PubMed

Bienert, M; Hoss, M; Bartneck, M; Weinandy, S; Böbel, M; Jockenhövel, S; Knüchel, R; Pottbacker, K; Wöltje, M; Jahnen-Dechent, W; Neuss, S

2017-08-16

Chronic wounds represent a serious problem in daily medical routine requiring improved wound care. Silk of the domesticated silkworm (Bombyx mori) has been used to form a variety of biomaterials for medical applications. We genetically engineered B. mori to produce silk functionalized with growth factors to promote wound healing in vitro. In this study FGF-, EGF-, KGF-, PDGF- or VEGF-functionalized silk membranes were compared to native B. mori silk membranes without growth factors for their ability to support wound healing in vitro. All silk membranes were cytocompatible and supported macrophage secretion of neutrophil recruiting factor CXCL1 and monocyte chemoattractant protein 1 (MCP-1). VEGF-functionalized silk significantly outperformed other growth factor-functionalized silk membranes, but not native silk in angiogenesis assays. In addition, EGF- and VEGF-functionalized silk membranes slightly enhanced macrophage adhesion compared to silk without growth factors. In wound healing assays in vitro (reduction of wound lesion), dermal equivalents showed a higher wound healing capacity when covered with EGF-, FGF- or VEGF-functionalized silk membranes compared to native, KGF- or PDGF-functionalized silk membranes. Keratinocyte migration and growth is overstimulated by KGF- and VEGF-functionalized silk membranes. In conclusion, growth factor-functionalized silk membranes prepared from genetically engineered silk worm glands are promising wound dressings for future wound healing therapies.

Patient-initiated online support groups: motives for initiation, extent of success and success factors.

PubMed

van Uden-Kraan, Cornelia F; Drossaert, Constance H C; Taal, Erik; Seydel, Erwin R; van de Laar, Mart A F J

2010-01-01

We studied the success and success factors of online support groups (OSGs) for patients, and the motives and goals of people who start such groups. We interviewed 23 webmasters of OSGs for patients with breast cancer, fibromyalgia and arthritis. The majority were women (n = 20) and most were patients (n = 21). Analysis of the interviews revealed that webmasters had altruistic and intrinsic motives for initiating an online support group. They defined success as the fulfilment of the goals they had in mind when they initiated their groups. To be able to make a group successful, decisions about its organization and management need to be coherent with these goals. Most webmasters stressed that promoting the group, keeping it alive and moderating the messages were vital success factors during the evolution stage. Management of the OSGs took up much of the webmasters' time and energy. On average webmasters were occupied with the group for 10-15 hours a week. Our study provides an overview of the pros and cons of differing decisions that have to be made when initiating an OSG.

Moving Forward: Positive Behavior Support and Applied Behavior Analysis

ERIC Educational Resources Information Center

Tincani, Matt

2007-01-01

A controversy has emerged about the relationship between positive behavior support and applied behavior analysis. Some behavior analysts suggest that positive behavior support and applied behavior analysis are the same (e.g., Carr & Sidener, 2002). Others argue that positive behavior support is harmful to applied behavior analysis (e.g., Johnston,…

Examining the Dimensionality of ADHD Symptomatology in Young Adults Using Factor Analysis and Outcome Prediction

ERIC Educational Resources Information Center

McKee, Tara E.

2012-01-01

Objective: Current diagnostic criteria specify that ADHD involves difficulties with inattention and/or hyperactivity/impulsivity. Researchers using factor analysis have consistently found support for an inattention factor in both children and adults. Findings have been mixed regarding whether hyperactivity and impulsivity reflect one or two…

A Confirmatory Factor Analysis of the Structure of Abbreviated Math Anxiety Scale

PubMed Central

Farrokhi, Farahman

2011-01-01

Objective The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Abbreviated Math Anxiety Scale (AMAS), proposed by Hopko, Mahadevan, Bare & Hunt. Method The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. The confirmatory factor analysis (CFA) was carried out to determine the factor structures of the Persian version of AMAS. Results As expected, the two-factor solution provided a better fit to the data than a single factor. Moreover, multi-group analyses showed that this two-factor structure was invariant across sex. Hence, AMAS provides an equally valid measure for use among college students. Conclusions Brief AMAS demonstrates adequate reliability and validity. The AMAS scores can be used to compare symptoms of math anxiety between male and female students. The study both expands and adds support to the existing body of math anxiety literature. PMID:22952521

Modifiable partner factors associated with perinatal depression and anxiety: a systematic review and meta-analysis.

PubMed

Pilkington, Pamela D; Milne, Lisa C; Cairns, Kathryn E; Lewis, James; Whelan, Thomas A

2015-06-01

Perinatal distress is a significant public health problem that adversely impacts the individual and their family. The primary objective of this systematic review and meta-analysis was to identify factors that partners can modify to protect each other from developing perinatal depression and anxiety. In accordance with the PRISMA statement, we reviewed the risk and protective factors associated with perinatal depression and anxiety symptoms that partners can potentially modify without professional assistance (PROSPERO reference CRD42014007524). Participants were new or expectant parents aged 16 years or older. The partner factors were sub-grouped into themes (e.g., instrumental support) based on a content analysis of the scale items and measure descriptions. A series of meta-analyses were conducted to estimate the pooled effect sizes of associations. We included 120 publications, reporting 245 associations with depression and 44 with anxiety. Partner factors with sound evidence that they protect against both perinatal depression and anxiety are: emotional closeness and global support. Partner factors with a sound evidence base for depression only are communication, conflict, emotional and instrumental support, and relationship satisfaction. This review is limited by the lack of generalizability to single parents and the inability to systematically review moderators and mediators, or control for baseline symptoms. The findings suggest that future prevention programs targeting perinatal depression and anxiety should aim to enhance relationship satisfaction, communication, and emotional closeness, facilitate instrumental and emotional support, and minimize conflict between partners. Copyright © 2015 Elsevier B.V. All rights reserved.

Factors affecting construction performance: exploratory factor analysis

NASA Astrophysics Data System (ADS)

Soewin, E.; Chinda, T.

2018-04-01

The present work attempts to develop a multidimensional performance evaluation framework for a construction company by considering all relevant measures of performance. Based on the previous studies, this study hypothesizes nine key factors, with a total of 57 associated items. The hypothesized factors, with their associated items, are then used to develop questionnaire survey to gather data. The exploratory factor analysis (EFA) was applied to the collected data which gave rise 10 factors with 57 items affecting construction performance. The findings further reveal that the items constituting ten key performance factors (KPIs) namely; 1) Time, 2) Cost, 3) Quality, 4) Safety & Health, 5) Internal Stakeholder, 6) External Stakeholder, 7) Client Satisfaction, 8) Financial Performance, 9) Environment, and 10) Information, Technology & Innovation. The analysis helps to develop multi-dimensional performance evaluation framework for an effective measurement of the construction performance. The 10 key performance factors can be broadly categorized into economic aspect, social aspect, environmental aspect, and technology aspects. It is important to understand a multi-dimension performance evaluation framework by including all key factors affecting the construction performance of a company, so that the management level can effectively plan to implement an effective performance development plan to match with the mission and vision of the company.

Extension Procedures for Confirmatory Factor Analysis

ERIC Educational Resources Information Center

Nagy, Gabriel; Brunner, Martin; Lüdtke, Oliver; Greiff, Samuel

2017-01-01

We present factor extension procedures for confirmatory factor analysis that provide estimates of the relations of common and unique factors with external variables that do not undergo factor analysis. We present identification strategies that build upon restrictions of the pattern of correlations between unique factors and external variables. The…

Independent Orbiter Assessment (IOA): Analysis of the life support and airlock support subsystems

NASA Technical Reports Server (NTRS)

Arbet, Jim; Duffy, R.; Barickman, K.; Saiidi, Mo J.

1987-01-01

The results of the Independent Orbiter Assessment (IOA) of the Failure Modes and Effects Analysis (FMEA) and Critical Items List (CIL) are presented. The IOA approach features a top-down analysis of the hardware to determine failure modes, criticality, and potential critical items. To preserve independence, this analysis was accomplished without reliance upon the results contained within the NASA FMEA/CIL documentation. This report documents the independent analysis results corresponding to the Orbiter Life Support System (LSS) and Airlock Support System (ALSS). Each level of hardware was evaluated and analyzed for possible failure modes and effects. Criticality was assigned based upon the severity of the effect for each failure mode. The LSS provides for the management of the supply water, collection of metabolic waste, management of waste water, smoke detection, and fire suppression. The ALSS provides water, oxygen, and electricity to support an extravehicular activity in the airlock.

Analysis of spectrally resolved autofluorescence images by support vector machines

NASA Astrophysics Data System (ADS)

Mateasik, A.; Chorvat, D.; Chorvatova, A.

2013-02-01

Spectral analysis of the autofluorescence images of isolated cardiac cells was performed to evaluate and to classify the metabolic state of the cells in respect to the responses to metabolic modulators. The classification was done using machine learning approach based on support vector machine with the set of the automatically calculated features from recorded spectral profile of spectral autofluorescence images. This classification method was compared with the classical approach where the individual spectral components contributing to cell autofluorescence were estimated by spectral analysis, namely by blind source separation using non-negative matrix factorization. Comparison of both methods showed that machine learning can effectively classify the spectrally resolved autofluorescence images without the need of detailed knowledge about the sources of autofluorescence and their spectral properties.

"Feeling unsafe": a photovoice analysis of factors influencing physical activity behavior among Malaysian adolescents.

PubMed

Saimon, Rosalia; Choo, Wan Yuen; Bulgiba, Awang

2015-03-01

Understanding the factors influencing physical activity (PA) in the Asia-Pacific region is critical, given the high prevalence of inactivity in this area. The photovoice technique explores the types of PA and factors influencing PA among adolescents in Kuching, Sarawak. A total of 160 photographs were collected from participants (adolescents, n = 22, mean age = 14.27 ± 0.7 years, and parents, n = 8, mean age = 48 ± 6.8 years). Data analysis used constant comparison methods of a grounded theory. The Analysis Grid for Environments Linked to Obesity was used to categorize PA factors. Study findings were centered on the concept of safety, facilities, parental restriction, friends, cultural traits, media, community cohesiveness, and weather. The central theme was "feeling unsafe" when being outdoors. To promote PA behavior, provision of PA facilities needs to be supported by other programs that build on peer support, crime prevention, and traffic safety, together with other educational campaigns. © 2013 APJPH.

Lungworm Infections in German Dairy Cattle Herds — Seroprevalence and GIS-Supported Risk Factor Analysis

PubMed Central

Schunn, Anne-Marie; Conraths, Franz J.; Staubach, Christoph; Fröhlich, Andreas; Forbes, Andrew; Strube, Christina

2013-01-01

In November 2008, a total of 19,910 bulk tank milk (BTM) samples were obtained from dairy farms from all over Germany, corresponding to about 20% of all German dairy herds, and analysed for antibodies against the bovine lungworm Dictyocaulus viviparus by use of the recombinant MSP-ELISA. A total number of 3,397 (17.1%; n = 19,910) BTM samples tested seropositive. The prevalences in individual German federal states varied between 0.0% and 31.2% positive herds. A geospatial map was drawn to show the distribution of seropositive and seronegative herds per postal code area. ELISA results were further analysed for associations with land-use and climate data. Bivariate statistical analysis was used to identify potential spatial risk factors for dictyocaulosis. Statistically significant positive associations were found between lungworm seropositive herds and the proportion of water bodies and grassed area per postal code area. Variables that showed a statistically significant association with a positive BTM test were included in a logistic regression model, which was further refined by controlled stepwise selection of variables. The low Pseudo R2 values (0.08 for the full model and 0.06 for the final model) and further evaluation of the model by ROC analysis indicate that additional, unrecorded factors (e.g. management factors) or random effects may substantially contribute to lungworm infections in dairy cows. Veterinarians should include lungworms in the differential diagnosis of respiratory disease in dairy cattle, particularly those at pasture. Monitoring of herds through BTM screening for antibodies can help farmers and veterinarians plan and implement appropriate control measures. PMID:24040243

Exploratory and Confirmatory Factor Analysis of the Career Decision-Making Difficulties Questionnaire

PubMed Central

Farrokhi, Farahman; Mahdavi, Ali; Moradi, Samad

2012-01-01

Objective The present study aimed at validating the structure of Career Decision-making Difficulties Questionnaire (CDDQ). Methods Five hundred and eleven undergraduate students took part in this research; from these participants, 63 males and 200 females took part in the first study, and 63 males and 185 females completed the survey for the second study. Results The results of exploratory factor analysis (EFA) indicated strong support for the three-factor structure, consisting of lack of information about the self, inconsistent information, lack of information and lack of readiness factors. A confirmatory factor analysis was run with the second sample using structural equation modeling. As expected, the three-factor solution provided a better fit to the data than the alternative models. Conclusion CDDQ was recommended to be used for college students in this study due to the fact that this instrument measures all three aspects of the model. Future research is needed to learn whether this model would fit other different samples. PMID:22952549

Tool Support for Parametric Analysis of Large Software Simulation Systems

NASA Technical Reports Server (NTRS)

Schumann, Johann; Gundy-Burlet, Karen; Pasareanu, Corina; Menzies, Tim; Barrett, Tony

2008-01-01

The analysis of large and complex parameterized software systems, e.g., systems simulation in aerospace, is very complicated and time-consuming due to the large parameter space, and the complex, highly coupled nonlinear nature of the different system components. Thus, such systems are generally validated only in regions local to anticipated operating points rather than through characterization of the entire feasible operational envelope of the system. We have addressed the factors deterring such an analysis with a tool to support envelope assessment: we utilize a combination of advanced Monte Carlo generation with n-factor combinatorial parameter variations to limit the number of cases, but still explore important interactions in the parameter space in a systematic fashion. Additional test-cases, automatically generated from models (e.g., UML, Simulink, Stateflow) improve the coverage. The distributed test runs of the software system produce vast amounts of data, making manual analysis impossible. Our tool automatically analyzes the generated data through a combination of unsupervised Bayesian clustering techniques (AutoBayes) and supervised learning of critical parameter ranges using the treatment learner TAR3. The tool has been developed around the Trick simulation environment, which is widely used within NASA. We will present this tool with a GN&C (Guidance, Navigation and Control) simulation of a small satellite system.

Confirmatory Factor Analysis and Test-Retest Reliability of the Alcohol and Drug Confrontation Scale (ADCS)

PubMed Central

Polcin, Douglas L.; Galloway, Gantt P.; Bond, Jason; Korcha, Rachael; Greenfield, Thomas K.

2008-01-01

The addiction field lacks an accepted definition and reliable measure of confrontation. The Alcohol and Drug Confrontation Scale (ADCS) defines confrontation as warnings about the potential consequences of substance use. To assess psychometric properties, 323 individual entering recovery houses in U.S. urban and suburban areas were interviewed between 2003 and 2005 (20% women, 68% white). Analyses included test-retest reliability, confirmatory factor analysis, and measures of internal consistency. Findings support the ADCS as a reliable way of assessing two factors: Internal Support and External intensity. Confrontation was experienced as supportive, accurate and helpful. Additional studies should assess confrontation in different contexts. PMID:20686635

Correlation analysis between work-related musculoskeletal disorders and the nursing practice environment, quality of life, and social support in the nursing professionals

PubMed Central

Yan, Ping; Yang, Yi; Zhang, Li; Li, Fuye; Huang, Amei; Wang, Yanan; Dai, Yali; Yao, Hua

2018-01-01

Abstract We aim to analyze the correlated influential factors between work-related musculoskeletal disorders (WMSDs) and nursing practice environment and quality of life and social support. From January 2015 to October 2015, cluster sampling was performed on the nurses from 12 hospitals in the 6 areas in Xinjiang. The questionnaires including the modified Nordic Musculoskeletal Questionnaire, Practice Environment Scale (PES), the Mos 36-item Short Form Health Survey, and Social Support Rating Scale were used to investigate. Multivariate logistic regression analysis was used to explore the influential factors of WMSDs. The total prevalence of WMSDs was 79.52% in the nurses ever since the working occupation, which was mainly involved waist (64.83%), neck (61.83%), and shoulder (52.36%). Multivariate logistic regression analysis indicated age (≥26 years), working in the Department of Surgery, Department of Critical Care, Outpatient Department, and Department of Anesthesia, working duration of >40 hours per week were the risk factors of WMSDs in the nurses. The physiological function (PF), body pain, total healthy condition, adequate working force and financial support, and social support were the protective factors of WMSDs. The prevalence of WMSDs in the nurses in Xinjiang Autonomous Region was high. PF, bodily pain, total healthy condition, having adequate staff and support resources to provide quality patient care, and social support were the protective factors of WMSDs in the nurses. PMID:29489648

Correlation analysis between work-related musculoskeletal disorders and the nursing practice environment, quality of life, and social support in the nursing professionals.

PubMed

Yan, Ping; Yang, Yi; Zhang, Li; Li, Fuye; Huang, Amei; Wang, Yanan; Dai, Yali; Yao, Hua

2018-03-01

We aim to analyze the correlated influential factors between work-related musculoskeletal disorders (WMSDs) and nursing practice environment and quality of life and social support.From January 2015 to October 2015, cluster sampling was performed on the nurses from 12 hospitals in the 6 areas in Xinjiang. The questionnaires including the modified Nordic Musculoskeletal Questionnaire, Practice Environment Scale (PES), the Mos 36-item Short Form Health Survey, and Social Support Rating Scale were used to investigate. Multivariate logistic regression analysis was used to explore the influential factors of WMSDs.The total prevalence of WMSDs was 79.52% in the nurses ever since the working occupation, which was mainly involved waist (64.83%), neck (61.83%), and shoulder (52.36%). Multivariate logistic regression analysis indicated age (≥26 years), working in the Department of Surgery, Department of Critical Care, Outpatient Department, and Department of Anesthesia, working duration of >40 hours per week were the risk factors of WMSDs in the nurses. The physiological function (PF), body pain, total healthy condition, adequate working force and financial support, and social support were the protective factors of WMSDs.The prevalence of WMSDs in the nurses in Xinjiang Autonomous Region was high. PF, bodily pain, total healthy condition, having adequate staff and support resources to provide quality patient care, and social support were the protective factors of WMSDs in the nurses.

United States Air Force Computer-Aided Acquisition and Logistics Support (CALS). Logistics Support Analysis Current Environment. Volume 2

DOT National Transportation Integrated Search

1988-10-01

An analysis of the current environment within the Acquisition stage of the Weapon System Life Cycle Pertaining to the Logistics Support Analysis (LSA) process, the Logistics Support Analysis Record (LSAR), and other Logistics Support data was underta...

United States Air Force Computer-Aided Acquisition and Logistics Support (CALS). Logistics Support Analysis Current Environment. Volume 1

DOT National Transportation Integrated Search

1988-10-01

An analysis of the current environment within the Acquisition stage of the Weapon System Life Cycle Pertaining to the Logistics Support Analysis (LSA) process, the Logistics Support Analysis Record (LSAR), and other Logistics Support data was underta...

The Construct Validity of Scores on the Ways of Coping Questionnaire: Confirmatory Analysis of Alternative Factor Structures.

ERIC Educational Resources Information Center

Edwards, Jeffrey R.; O'Neill, Regina M.

1998-01-01

Confirmatory factor analysis was used to evaluate alternative factor structures, based on previous exploratory factor analyses and coping dimensions derived from the theory of R. Lazarus, for the Ways of Coping Questionnaire (S. Folkman and R. Lazarus, 1988). Results from responses of 654 college graduates provide little support for the factor…

Exploratory Bi-factor Analysis: The Oblique Case.

PubMed

Jennrich, Robert I; Bentler, Peter M

2012-07-01

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford (Psychometrika 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler (Psychometrika 76:537-549, 2011) introduced an exploratory form of bi-factor analysis that does not require one to provide an explicit bi-factor structure a priori. They use exploratory factor analysis and a bifactor rotation criterion designed to produce a rotated loading matrix that has an approximate bi-factor structure. Among other things this can be used as an aid in finding an explicit bi-factor structure for use in a confirmatory bi-factor analysis. They considered only orthogonal rotation. The purpose of this paper is to consider oblique rotation and to compare it to orthogonal rotation. Because there are many more oblique rotations of an initial loading matrix than orthogonal rotations, one expects the oblique results to approximate a bi-factor structure better than orthogonal rotations and this is indeed the case. A surprising result arises when oblique bi-factor rotation methods are applied to ideal data.

Correlates of Social Support Among Latino Immigrants.

PubMed

Held, Mary L

2018-04-01

Latino immigrants encounter considerable stressors that pose risks to health and well-being during settlement in the USA. Social support serves as a protective factor that can help to buffer the negative effects of stress. Despite the importance of social support, we know little about how Latino immigrants differentially experience this protective factor. The current study analyzed data from 100 Latino immigrants residing in Tennessee. Hierarchical multiple regression analysis was employed to examine variation in self-reported social support by immigrant characteristics and immigration-related factors. Females, immigrants who are not married/cohabitating, and those who reported experiencing a greater number of discrete stressors in the USA each reported lower levels of social support. Implications for practice include an increased emphasis on assessing levels of social support and designing services to strengthen support for the most vulnerable immigrants. Future research should consider a longitudinal analysis and specific types of social support.

Risk factors associated with default among new pulmonary TB patients and social support in six Russian regions.

PubMed

Jakubowiak, W M; Bogorodskaya, E M; Borisov, S E; Borisov, E S; Danilova, I D; Danilova, D I; Kourbatova, E V; Kourbatova, E K

2007-01-01

Tuberculosis (TB) services in six Russian regions in which social support programmes for TB patients were implemented. To identify risk factors for default and to evaluate possible impact of social support. Retrospective study of new pulmonary smear-positive and smear-negative TB patients registered during the second and third quarters of the 2003. Data were analysed in a case-control study including default patients as cases and successfully treated patients as controls, using multivariate logistic regression modelling. A total of 1805 cases of pulmonary TB were enrolled. Default rates in the regions were 2.3-6.3%. On multivariate analysis, risk factors independently associated with default outcome included: unemployment (OR 4.44; 95%CI 2.23-8.86), alcohol abuse (OR 1.99; 95%CI 1.04-3.81), and homelessness (OR 3.49; 95%CI 1.25-9.77). Social support reduced the default outcome (OR 0.13; 95%CI 0.06-0.28), controlling for age, sex, region, residence and acid-fast bacilli (AFB) smear of sputum. Unemployment, alcohol abuse and homelessness were associated with increased default outcome among new TB patients, while social support for TB patients reduced default. Further prospective randomised studies are necessary to evaluate the impact and to determine the most cost-effective social support for improving treatment outcomes of TB in patients in Russia, especially among populations at risk of default.

Assessing the Factors Deemed to Support Individual Student Intrinsic Motivation in Technology Supported Online and Face-to-Face Discussions

ERIC Educational Resources Information Center

Shroff, Ronnie H.; Vogel, Douglas R.

2009-01-01

Research has established that intrinsic motivation has a positive effect on learning and academic achievement. In order to investigate the phenomenon of intrinsic motivation in technology-supported learning environments, this paper investigates the factors deemed to support individual student intrinsic motivation in online discussions. A research…

Dimensions of professional labor support for intrapartum practice.

PubMed

Sauls, Donna J

2006-01-01

To define and describe the dimensions of Professional Labor Support (PLS). A factor-analytic study was conducted with a random sample of 146 intrapartum nurses in Texas. Nurses' responses to the Labor Support Questionnaire (LSQ) were subjected to principal components analysis and descriptive analysis. A six-factor solution indicated the dimensions of PLS: Tangible Support, Advocacy, Emotional Support-Reassurance, Emotional Support-Creating Control, Security and Comfort, Emotional Support-Nurse Caring Behavior, and Informational Support. Although the presence of four dimensions was theorized, six dimensions were found. The emotional support dimension was identified by nurses as being an important component of labor support as indicated by the identification of three separate emotional support dimensions.

Significant factors in family difficulties for fathers and mothers who use support services for children with hikikomori.

PubMed

Funakoshi, Akiko; Miyamoto, Yuki

2015-04-01

Hikikomori is a new psychosociological phenomenon among youth, of almost complete withdrawal from social interaction, and it has received considerable attention in community mental health in Japan. The aims of the present study were to identify the influential factors of family difficulties of parents who use support services for children with hikikomori, and compare them between fathers and mothers. Data were collected from 110 parents (55 couples) of children with hikikomori with regard to family difficulties, quality of life, and depression variables via self-report questionnaires. To assess the influential factors of Family Difficulties for parents with children with hikikomori, hierarchical multiple linear regression analysis was carried out for gender. While 94.5% of mothers received some kind of family support, only 61.9% of fathers received it. For both genders, the number of services that the fathers received was significantly correlated with marital cooperation, and the number of services that the mothers received was significantly correlated with support resource utilization. It is necessary for fathers to receive more support, and it is important for professionals to encourage parents to address their difficulties together. © 2014 The Authors. Psychiatry and Clinical Neurosciences © 2014 Japanese Society of Psychiatry and Neurology.

Social support and support groups among people with HIV/AIDS in Ghana.

PubMed

Abrefa-Gyan, Tina; Wu, Liyun; Lewis, Marilyn W

2016-01-01

HIV/AIDS, a chronic burden in Ghana, poses social and health outcome concerns to those infected. Examining the Medical Outcome Study Social Support Survey (MOS-SSS) instrument among 300 Ghanaians from a cross-sectional design, Principal Component Analysis yielded four factors (positive interaction, trust building, information giving, and essential support), which accounted for 85.73% of the total variance in the MOS-SSS. A logistic regression analysis showed that essential support was the strongest predictor of the length of time an individual stayed in the support group, whereas positive interaction indicated negative association. The study's implications for policy, research, and practice were discussed.

Data near processing support for climate data analysis

NASA Astrophysics Data System (ADS)

Kindermann, Stephan; Ehbrecht, Carsten; Hempelmann, Nils

2016-04-01

Climate data repositories grow in size exponentially. Scalable data near processing capabilities are required to meet future data analysis requirements and to replace current "data download and process at home" workflows and approaches. On one hand side, these processing capabilities should be accessible via standardized interfaces (e.g. OGC WPS), on the other side a large variety of processing tools, toolboxes and deployment alternatives have to be supported and maintained at the data/processing center. We present a community approach of a modular and flexible system supporting the development, deployment and maintenace of OGC-WPS based web processing services. This approach is organized in an open source github project (called "bird-house") supporting individual processing services ("birds", e.g. climate index calculations, model data ensemble calculations), which rely on basic common infrastructural components (e.g. installation and deployment recipes, analysis code dependencies management). To support easy deployment at data centers as well as home institutes (e.g. for testing and development) the system supports the management of the often very complex package dependency chain of climate data analysis packages as well as docker based packaging and installation. We present a concrete deployment scenario at the German Climate Computing Center (DKRZ). The DKRZ one hand side hosts a multi-petabyte climate archive which is integrated e.g. into the european ENES and worldwide ESGF data infrastructure, and on the other hand hosts an HPC center supporting (model) data production and data analysis. The deployment scenario also includes openstack based data cloud services to support data import and data distribution for bird-house based WPS web processing services. Current challenges for inter-institutionnal deployments of web processing services supporting the european and international climate modeling community as well as the climate impact community are highlighted

Assessment of the dimensionality of the Wijma delivery expectancy/experience questionnaire using factor analysis and Rasch analysis.

PubMed

Pallant, J F; Haines, H M; Green, P; Toohill, J; Gamble, J; Creedy, D K; Fenwick, J

2016-11-21

Fear of childbirth has negative consequences for a woman's physical and emotional wellbeing. The most commonly used measurement tool for childbirth fear is the Wijma Delivery Expectancy Questionnaire (WDEQ-A). Although originally conceptualized as unidimensional, subsequent investigations have suggested it is multidimensional. This study aimed to undertake a detailed psychometric assessment of the WDEQ-A; exploring the dimensionality and identifying possible subscales that may have clinical and research utility. WDEQ-A was administered to a sample of 1410 Australian women in mid-pregnancy. The dimensionality of WDEQ-A was explored using exploratory (EFA) and confirmatory factor analysis (CFA), and Rasch analysis. EFA identified a four factor solution. CFA failed to support the unidimensional structure of the original WDEQ-A, but confirmed the four factor solution identified by EFA. Rasch analysis was used to refine the four subscales (Negative emotions: five items; Lack of positive emotions: five items; Social isolation: four items; Moment of birth: three items). Each WDEQ-A Revised subscale showed good fit to the Rasch model and adequate internal consistency reliability. The correlation between Negative emotions and Lack of positive emotions was strong, however Moment of birth and Social isolation showed much lower intercorrelations, suggesting they should not be added to create a total score. This study supports the findings of other investigations that suggest the WDEQ-A is multidimensional and should not be used in its original form. The WDEQ-A Revised may provide researchers with a more refined, psychometrically sound tool to explore the differential impact of aspects of childbirth fear.

Support Air and Space Expeditionary Forces. Analysis of Combat Support Basing Options

DTIC Science & Technology

2004-01-01

Mahyar A . Amouzegar, Robert S. Tripp, Ronald G. McGarve Edward W Chan C. Robert Roll, Jr. _77 Ap L_ L; Reý PROJECT AIR FORCE - Supporting Air and Space...Expeditionary Forces Analysis of Combat Support Basing Options Mahyar A . Amouzegar Robert S. Tripp Ronald G. McGarvey Edward W. Chan C. Robert Roll...support basing options / Mahyar A . Amouzegar ... [et al. p. cm. "’MG-261." Indudes bibliographical references. ISBN 0-8330-3675-0 (pbk.) 1. Air bases

Predicting suicide ideation through intrapersonal and interpersonal factors: The interplay of Big-Five personality traits and social support.

PubMed

Ayub, Nailah

2015-11-01

While a specific personality trait may escalate suicide ideation, contextual factors such as social support, when provided effectively, may alleviate the effects of such personality traits. This study examined the moderating role of social support in the relationship between the Big-Five personality traits and suicide ideation. Significant interactions were found between social support and extraversion and emotional stability. Specifically, the relationship between emotional stability and extraversion to suicide ideation was exacerbated when social support was low. Slope analysis showed openness also interacted with low social support. Results were computed for frequency, duration and attitude dimensions of suicide ideation. Extraversion interacted with social support to predict all three dimensions. Social support moderated emotional stability to predict frequency and duration, moderated conscientiousness towards frequency and attitude, and moderated openness towards attitude. The results imply that whereas personality traits may be difficult to alter, social support may play a significant role in saving a life. Psychologists should include family and friends when treating a suicidal youth, guiding them to awareness of one's personality and being more supportive. Copyright © 2015 John Wiley & Sons, Ltd.

Analysis of algae growth mechanism and water bloom prediction under the effect of multi-affecting factor.

PubMed

Wang, Li; Wang, Xiaoyi; Jin, Xuebo; Xu, Jiping; Zhang, Huiyan; Yu, Jiabin; Sun, Qian; Gao, Chong; Wang, Lingbin

2017-03-01

The formation process of algae is described inaccurately and water blooms are predicted with a low precision by current methods. In this paper, chemical mechanism of algae growth is analyzed, and a correlation analysis of chlorophyll-a and algal density is conducted by chemical measurement. Taking into account the influence of multi-factors on algae growth and water blooms, the comprehensive prediction method combined with multivariate time series and intelligent model is put forward in this paper. Firstly, through the process of photosynthesis, the main factors that affect the reproduction of the algae are analyzed. A compensation prediction method of multivariate time series analysis based on neural network and Support Vector Machine has been put forward which is combined with Kernel Principal Component Analysis to deal with dimension reduction of the influence factors of blooms. Then, Genetic Algorithm is applied to improve the generalization ability of the BP network and Least Squares Support Vector Machine. Experimental results show that this method could better compensate the prediction model of multivariate time series analysis which is an effective way to improve the description accuracy of algae growth and prediction precision of water blooms.

Examining the Support Peer Supporters Provide Using Structural Equation Modeling: Nondirective and Directive Support in Diabetes Management.

PubMed

Kowitt, Sarah D; Ayala, Guadalupe X; Cherrington, Andrea L; Horton, Lucy A; Safford, Monika M; Soto, Sandra; Tang, Tricia S; Fisher, Edwin B

2017-12-01

Little research has examined the characteristics of peer support. Pertinent to such examination may be characteristics such as the distinction between nondirective support (accepting recipients' feelings and cooperative with their plans) and directive (prescribing "correct" choices and feelings). In a peer support program for individuals with diabetes, this study examined (a) whether the distinction between nondirective and directive support was reflected in participants' ratings of support provided by peer supporters and (b) how nondirective and directive support were related to depressive symptoms, diabetes distress, and Hemoglobin A1c (HbA1c). Three hundred fourteen participants with type 2 diabetes provided data on depressive symptoms, diabetes distress, and HbA1c before and after a diabetes management intervention delivered by peer supporters. At post-intervention, participants reported how the support provided by peer supporters was nondirective or directive. Confirmatory factor analysis (CFA), correlation analyses, and structural equation modeling examined the relationships among reports of nondirective and directive support, depressive symptoms, diabetes distress, and measured HbA1c. CFA confirmed the factor structure distinguishing between nondirective and directive support in participants' reports of support delivered by peer supporters. Controlling for demographic factors, baseline clinical values, and site, structural equation models indicated that at post-intervention, participants' reports of nondirective support were significantly associated with lower, while reports of directive support were significantly associated with greater depressive symptoms, altogether (with control variables) accounting for 51% of the variance in depressive symptoms. Peer supporters' nondirective support was associated with lower, but directive support was associated with greater depressive symptoms.

Confirmatory Factor Analysis of the Bases of Leader Power: First-Order Factor Model and Its Invariance Across Groups.

PubMed

Rahim, M A; Magner, N R

1996-10-01

Confirmatory factor analyses of data (from five samples: N = 308 accountants and finance professionals, N = 578 management and non-management employees, and N = 588 employed management students in the U.S.; N = 728 management and non-management employees in S. Korea, N = 250 management and non-management bank employees in Bangladesh) on the 29 items of the Rahim Leader Power Inventory were performed with LISREL 7. The results provided support for the convergent and discriminant validities of the subscales measuring the five bases of leader power (coercive, reward, legitimate, expert, and referent), and the invariance of factor pattern and factor loadings across organizational levels and the three American samples. Additional analysis indicated that leader power profiles differed across the three national cultures represented in the study.

Exploratory Bi-Factor Analysis: The Oblique Case

ERIC Educational Resources Information Center

Jennrich, Robert I.; Bentler, Peter M.

2012-01-01

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…

Bayesian Exploratory Factor Analysis

PubMed Central

Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.; Piatek, Rémi

2014-01-01

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates from a high dimensional set of psychological measurements. PMID:25431517

48 CFR 2815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Information to support proposal analysis. All requests for field pricing support shall be made by the... 48 Federal Acquisition Regulations System 6 2010-10-01 2010-10-01 true Information to support proposal analysis. 2815.404-2 Section 2815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

48 CFR 2815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2013 CFR

2013-10-01

... Information to support proposal analysis. All requests for field pricing support shall be made by the... 48 Federal Acquisition Regulations System 6 2013-10-01 2013-10-01 false Information to support proposal analysis. 2815.404-2 Section 2815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

48 CFR 2815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2014 CFR

2014-10-01

... Information to support proposal analysis. All requests for field pricing support shall be made by the... 48 Federal Acquisition Regulations System 6 2014-10-01 2014-10-01 false Information to support proposal analysis. 2815.404-2 Section 2815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

48 CFR 2815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2012 CFR

2012-10-01

... Information to support proposal analysis. All requests for field pricing support shall be made by the... 48 Federal Acquisition Regulations System 6 2012-10-01 2012-10-01 false Information to support proposal analysis. 2815.404-2 Section 2815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

48 CFR 2815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2011 CFR

2011-10-01

... Information to support proposal analysis. All requests for field pricing support shall be made by the... 48 Federal Acquisition Regulations System 6 2011-10-01 2011-10-01 false Information to support proposal analysis. 2815.404-2 Section 2815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

Measurement Structure of the Trait Hope Scale in Persons with Spinal Cord Injury: A Confirmatory Factor Analysis

ERIC Educational Resources Information Center

Smedema, Susan Miller; Pfaller, Joseph; Moser, Erin; Tu, Wei-Mo; Chan, Fong

2013-01-01

Objective: To evaluate the measurement structure of the Trait Hope Scale (THS) among individuals with spinal cord injury. Design: Confirmatory factor analysis and reliability and validity analyses were performed. Participants: 242 individuals with spinal cord injury. Results: Results support the two-factor measurement model for the THS with agency…

FY 2018 Grant Announcement: FY2018 Support for Geospatial Analysis Support

EPA Pesticide Factsheets

The U.S. Environmental Protection Agency’s (EPA) Chesapeake Bay Program Office (CBPO) is announcing a Request for Proposals (RFP) for applicants to provide the Chesapeake Bay Program (CBP) partners with a proposal for providing geospatial analysis support

Understanding persuasion contexts in health gamification: A systematic analysis of gamified health behavior change support systems literature.

PubMed

Alahäivälä, Tuomas; Oinas-Kukkonen, Harri

2016-12-01

Gamification is increasingly used as a design strategy when developing behavior change support systems in the healthcare domain. It is commonly agreed that understanding the contextual factors is critical for successful gamification, but systematic analyses of the persuasive contexts have been lacking so far within gamified health intervention studies. Through a persuasion context analysis of the gamified health behavior change support systems (hBCSSs) literature, we inspect how the contextual factors have been addressed in the prior gamified health BCSS studies. The implications of this study are to provide the practitioners and researchers examples of how to conduct a systematic analysis to help guide the design and research on gamified health BCSSs. The ideas derived from the analysis of the included studies will help identify potential pitfalls and shortcomings in both the research and implementations of gamified health behavior change support systems. We systematically analyzed the persuasion contexts of 15 gamified health intervention studies. According to our results, gamified hBCSSs are implemented under different facets of lifestyle change and treatments compliance, and use a multitude of technologies and methods. We present a set of ideas and concepts to help improve endeavors in studying gamified health intervention through comprehensive understanding of the persuasive contextual factors. Future research on gamified hBCSSs should systematically compare the different combinations of contextual factors, related theories, chosen gamification strategies, and the study of outcomes to help understand how to achieve the most efficient use of gamification on the different aspects of healthcare. Analyzing the persuasion context is essential to achieve this. With the attained knowledge, those planning health interventions can choose the 'tried-and-tested' approaches for each particular situation, rather than develop solutions in an ad-hoc manner. Copyright © 2016

[Analysis of the factors related to the needs of patients with cancer].

PubMed

Lee, Jung A; Lee, Sun Hee; Park, Jong Hyock; Park, Jae Hyun; Kim, Sung Gyeong; Seo, Ju Hyun

2010-05-01

Limited research has investigated the specific needs of patients with cancer. This study was performed to explore patients needs and the related factors. The data were collected by 1 National Cancer Center and 9 regional cancer centers in Korea. An interview survey was performed with using a structured questionnaire for the subjects (2,661 patients who gave written informed consent to participate) survey 4 months after diagnosis and review of medical records. Data were analyzed using t-test, ANOVA and multiple regression analysis. When comparing the relating factors related with patient needs to the sociodemographic characteristics, the female group showed a higher level of recognition for physical symptoms, social support needs. The younger group showed a significantly higher level of recognition for health care staff, psychological problems, information and education, social support, hospital services needs. In addition, the higher educated group showed a higher level of recognition for health care staff, physical symptoms, social support needs. The higher income and office workers group showed a higher level of recognition for hospital services needs. When comparing the relating factors related with patient needs to the cancer, the breast cancer group showed a higher level of recognition for all needs excluding physical symptoms, accessibility and financial support needs. The combined radiotherapy with surgery and chemotherapy group showed a higher level of recognition for psychological problems, information and education, social support needs. This study showed that needs on patient with cancer was significantly influenced by female, higher education, lower income, having religion, office worker, liver cancer, breast cancer, colon cancer, chemotherapy, and combined therapy.

Psychological Factors and Conditioned Pain Modulation: A Meta-Analysis.

PubMed

Nahman-Averbuch, Hadas; Nir, Rony-Reuven; Sprecher, Elliot; Yarnitsky, David

2016-06-01

Conditioned pain modulation (CPM) responses may be affected by psychological factors such as anxiety, depression, and pain catastrophizing; however, most studies on CPM do not address these relations as their primary outcome. The aim of this meta-analysis was to analyze the findings regarding the associations between CPM responses and psychological factors in both pain-free individuals and pain patients. After a comprehensive PubMed search, 37 articles were found to be suitable for inclusion. Analyses used DerSimonian and Laird's random-effects model on Fisher's z-transforms of correlations; potential publication bias was tested using funnel plots and Egger's regression test for funnel plot asymmetry. Six meta-analyses were performed examining the correlations between anxiety, depression, and pain catastrophizing, and CPM responses in healthy individuals and pain patients. No significant correlations between CPM responses and any of the examined psychological factors were found. However, a secondary analysis, comparing modality-specific CPM responses and psychological factors in healthy individuals, revealed the following: (1) pressure-based CPM responses were correlated with anxiety (grand mean correlation in original units r=-0.1087; 95% confidence limits, -0.1752 to -0.0411); (2) heat-based CPM was correlated with depression (r=0.2443; 95% confidence limits, 0.0150 to 0.4492); and (3) electrical-based CPM was correlated with pain catastrophizing levels (r=-0.1501; 95% confidence limits, -0.2403 to -0.0574). Certain psychological factors seem to be associated with modality-specific CPM responses in healthy individuals. This potentially supports the notion that CPM paradigms evoked by different stimulation modalities represent different underlying mechanisms.

Factor Analysis of Intern Effectiveness

ERIC Educational Resources Information Center

Womack, Sid T.; Hannah, Shellie Louise; Bell, Columbus David

2012-01-01

Four factors in teaching intern effectiveness, as measured by a Praxis III-similar instrument, were found among observational data of teaching interns during the 2010 spring semester. Those factors were lesson planning, teacher/student reflection, fairness & safe environment, and professionalism/efficacy. This factor analysis was as much of a…

Social support and sleep: A meta-analysis.

PubMed

Kent de Grey, Robert G; Uchino, Bert N; Trettevik, Ryan; Cronan, Sierra; Hogan, Jasara N

2018-05-28

While the implications of social support are increasingly well understood, no meta-analytic review to date has examined the intersection of the social support and sleep literatures. The aims of this meta-analysis were primarily to review the association between social support and sleep and additionally to test several proposed moderators from prior work. Using a literature search and the ancestry approach, the review identified 61 studies with a total of 105,437 participants. Random-effects modeling showed that greater social support was significantly related to improved sleep outcomes (Zr = -.152). These results were not moderated by the operationalization of support, study design, or chronic conditions. These data indicate a robust association between social support and favorable sleep outcomes. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Factor structure and longitudinal measurement invariance of the demand control support model: an evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH).

PubMed

Chungkham, Holendro Singh; Ingre, Michael; Karasek, Robert; Westerlund, Hugo; Theorell, Töres

2013-01-01

To examine the factor structure and to evaluate the longitudinal measurement invariance of the demand-control-support questionnaire (DCSQ), using the Swedish Longitudinal Occupational Survey of Health (SLOSH). A confirmatory factor analysis (CFA) and multi-group confirmatory factor analysis (MGCFA) models within the framework of structural equation modeling (SEM) have been used to examine the factor structure and invariance across time. Four factors: psychological demand, skill discretion, decision authority and social support, were confirmed by CFA at baseline, with the best fit obtained by removing the item repetitive work of skill discretion. A measurement error correlation (0.42) between work fast and work intensively for psychological demands was also detected. Acceptable composite reliability measures were obtained except for skill discretion (0.68). The invariance of the same factor structure was established, but caution in comparing mean levels of factors over time is warranted as lack of intercept invariance was evident. However, partial intercept invariance was established for work intensively. Our findings indicate that skill discretion and decision authority represent two distinct constructs in the retained model. However removing the item repetitive work along with either work fast or work intensively would improve model fit. Care should also be taken while making comparisons in the constructs across time. Further research should investigate invariance across occupations or socio-economic classes.

Factor Structure and Longitudinal Measurement Invariance of the Demand Control Support Model: An Evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH)

PubMed Central

Chungkham, Holendro Singh; Ingre, Michael; Karasek, Robert; Westerlund, Hugo; Theorell, Töres

2013-01-01

Objectives To examine the factor structure and to evaluate the longitudinal measurement invariance of the demand-control-support questionnaire (DCSQ), using the Swedish Longitudinal Occupational Survey of Health (SLOSH). Methods A confirmatory factor analysis (CFA) and multi-group confirmatory factor analysis (MGCFA) models within the framework of structural equation modeling (SEM) have been used to examine the factor structure and invariance across time. Results Four factors: psychological demand, skill discretion, decision authority and social support, were confirmed by CFA at baseline, with the best fit obtained by removing the item repetitive work of skill discretion. A measurement error correlation (0.42) between work fast and work intensively for psychological demands was also detected. Acceptable composite reliability measures were obtained except for skill discretion (0.68). The invariance of the same factor structure was established, but caution in comparing mean levels of factors over time is warranted as lack of intercept invariance was evident. However, partial intercept invariance was established for work intensively. Conclusion Our findings indicate that skill discretion and decision authority represent two distinct constructs in the retained model. However removing the item repetitive work along with either work fast or work intensively would improve model fit. Care should also be taken while making comparisons in the constructs across time. Further research should investigate invariance across occupations or socio-economic classes. PMID:23950957

Childbirth Supporters' Experiences in a Built Hospital Birth Environment: Exploring Inhibiting and Facilitating Factors in Negotiating the Supporter Role.

PubMed

Harte, J Davis; Sheehan, Athena; Stewart, Susan C; Foureur, Maralyn

2016-04-01

To explore inhibiting and facilitating design factors influencing childbirth supporters' experiences. Birthing women benefit from the continuous, cooperative presence of supporters. However, little research has investigated how birth room design facilitates or inhibits supporters' role navigation. We conducted an exploratory video ethnographic single case study of childbirth supporters' experiences, within an Australian hospital birth environment. Video, field notes, and video-cued reflexive interviews with the woman, her midwives, and supporters were thematically analyzed using ethnographic/symbolic interactionist perspectives to frame supporters' understandings. Findings suggest supporters' experiences are complex, made more complicated by sparse understanding or accommodation of their needs in the built environment. Supporters' presence and roles are not facilitated by the physical space; they experience "an unbelonging paradox" of being needed, yet uncertain and "in the way" during "tenuous nest-building" activities. Suggested design guidelines to facilitate supporters' well-being and their roles in designed hospital birth spaces are provided. © The Author(s) 2016.

Robust Bayesian Factor Analysis

ERIC Educational Resources Information Center

Hayashi, Kentaro; Yuan, Ke-Hai

2003-01-01

Bayesian factor analysis (BFA) assumes the normal distribution of the current sample conditional on the parameters. Practical data in social and behavioral sciences typically have significant skewness and kurtosis. If the normality assumption is not attainable, the posterior analysis will be inaccurate, although the BFA depends less on the current…

Emotional and tangible social support in a German population-based sample: Development and validation of the Brief Social Support Scale (BS6).

PubMed

Beutel, Manfred E; Brähler, Elmar; Wiltink, Jörg; Michal, Matthias; Klein, Eva M; Jünger, Claus; Wild, Philipp S; Münzel, Thomas; Blettner, Maria; Lackner, Karl; Nickels, Stefan; Tibubos, Ana N

2017-01-01

Aim of the study was the development and validation of the psychometric properties of a six-item bi-factorial instrument for the assessment of social support (emotional and tangible support) with a population-based sample. A cross-sectional data set of N = 15,010 participants enrolled in the Gutenberg Health Study (GHS) in 2007-2012 was divided in two sub-samples. The GHS is a population-based, prospective, observational single-center cohort study in the Rhein-Main-Region in western Mid-Germany. The first sub-sample was used for scale development by performing an exploratory factor analysis. In order to test construct validity, confirmatory factor analyses were run to compare the extracted bi-factorial model with the one-factor solution. Reliability of the scales was indicated by calculating internal consistency. External validity was tested by investigating demographic characteristics health behavior, and distress using analysis of variance, Spearman and Pearson correlation analysis, and logistic regression analysis. Based on an exploratory factor analysis, a set of six items was extracted representing two independent factors. The two-factor structure of the Brief Social Support Scale (BS6) was confirmed by the results of the confirmatory factor analyses. Fit indices of the bi-factorial model were good and better compared to the one-factor solution. External validity was demonstrated for the BS6. The BS6 is a reliable and valid short scale that can be applied in social surveys due to its brevity to assess emotional and practical dimensions of social support.

Overview of the Contributing Factor Map and How it can Support your Research

NASA Technical Reports Server (NTRS)

Mindock, Jennifer A.

2014-01-01

The Contributing Factor Map (CFM) is a visual representation of a taxonomy of factors influencing human health and performance in space. This presentation will give an overview of its development and its structure. It will describe various uses of the CFM that can support researchers working within the Human Research Program (HRP) Architecture of Evidence-Risk-Gap-Task-Deliverable. For example, during the Risk phase, the CFM can be used as a "menu" to help formulate a qualitative model of the factors contributing to specific consequences of concern. It provides a reference set of factors from across the operational, vehicle design, and human domains that otherwise might not be considered if approaching a risk from a specific domain perspective. Using the CFM as a reference can increase awareness of potential cross-disciplinary collaborations for overall risk mitigation. The CFM can also be used as a framework for identifying gaps in knowledge about a risk. This identification can support the subsequent development of gaps and tasks comprising the research plan aimed at risk mitigation. Examples of these types of applications of the CFM will be discussed and information on the support available to researchers in using it will be provided.

Human-computer interface for the study of information fusion concepts in situation analysis and command decision support systems

NASA Astrophysics Data System (ADS)

Roy, Jean; Breton, Richard; Paradis, Stephane

2001-08-01

Situation Awareness (SAW) is essential for commanders to conduct decision-making (DM) activities. Situation Analysis (SA) is defined as a process, the examination of a situation, its elements, and their relations, to provide and maintain a product, i.e., a state of SAW for the decision maker. Operational trends in warfare put the situation analysis process under pressure. This emphasizes the need for a real-time computer-based Situation analysis Support System (SASS) to aid commanders in achieving the appropriate situation awareness, thereby supporting their response to actual or anticipated threats. Data fusion is clearly a key enabler for SA and a SASS. Since data fusion is used for SA in support of dynamic human decision-making, the exploration of the SA concepts and the design of data fusion techniques must take into account human factor aspects in order to ensure a cognitive fit of the fusion system with the decision-maker. Indeed, the tight human factor aspects in order to ensure a cognitive fit of the fusion system with the decision-maker. Indeed, the tight integration of the human element with the SA technology is essential. Regarding these issues, this paper provides a description of CODSI (Command Decision Support Interface), and operational- like human machine interface prototype for investigations in computer-based SA and command decision support. With CODSI, one objective was to apply recent developments in SA theory and information display technology to the problem of enhancing SAW quality. It thus provides a capability to adequately convey tactical information to command decision makers. It also supports the study of human-computer interactions for SA, and methodologies for SAW measurement.

Factor Structure and Measurement Invariance of the Need-Supportive Teaching Style Scale for Physical Education.

PubMed

Liu, Jing-Dong; Chung, Pak-Kwong

2017-08-01

The purpose of the current study was to examine the factor structure and measurement invariance of a scale measuring students' perceptions of need-supportive teaching (Need-Supportive Teaching Style Scale in Physical Education; NSTSSPE). We sampled 615 secondary school students in Hong Kong, 200 of whom also completed a follow-up assessment two months later. Factor structure of the scale was examined through exploratory structural equation modeling (ESEM). Further, nomological validity of the NSTSSPE was evaluated by examining the relationships between need-supportive teaching style and student satisfaction of psychological needs. Finally, four measurement models-configural, metric invariance, scalar invariance, and item uniqueness invariance-were assessed using multiple group ESEM to test the measurement invariance of the scale across gender, grade, and time. ESEM results suggested a three-factor structure of the NSTSSPE. Nomological validity was supported, and weak, strong, and strict measurement invariance of the NSTSSPE was evidenced across gender, grade, and time. The current study provides initial psychometric support for the NSTSSPE to assess student perceptions of teachers' need-supportive teaching style in physical education classes.

Dynamic Proteomic Analysis of Pancreatic Mesenchyme Reveals Novel Factors That Enhance Human Embryonic Stem Cell to Pancreatic Cell Differentiation.

PubMed

Russ, Holger A; Landsman, Limor; Moss, Christopher L; Higdon, Roger; Greer, Renee L; Kaihara, Kelly; Salamon, Randy; Kolker, Eugene; Hebrok, Matthias

2016-01-01

Current approaches in human embryonic stem cell (hESC) to pancreatic beta cell differentiation have largely been based on knowledge gained from developmental studies of the epithelial pancreas, while the potential roles of other supporting tissue compartments have not been fully explored. One such tissue is the pancreatic mesenchyme that supports epithelial organogenesis throughout embryogenesis. We hypothesized that detailed characterization of the pancreatic mesenchyme might result in the identification of novel factors not used in current differentiation protocols. Supplementing existing hESC differentiation conditions with such factors might create a more comprehensive simulation of normal development in cell culture. To validate our hypothesis, we took advantage of a novel transgenic mouse model to isolate the pancreatic mesenchyme at distinct embryonic and postnatal stages for subsequent proteomic analysis. Refined sample preparation and analysis conditions across four embryonic and prenatal time points resulted in the identification of 21,498 peptides with high-confidence mapping to 1,502 proteins. Expression analysis of pancreata confirmed the presence of three potentially important factors in cell differentiation: Galectin-1 (LGALS1), Neuroplastin (NPTN), and the Laminin α-2 subunit (LAMA2). Two of the three factors (LGALS1 and LAMA2) increased expression of pancreatic progenitor transcript levels in a published hESC to beta cell differentiation protocol. In addition, LAMA2 partially blocks cell culture induced beta cell dedifferentiation. Summarily, we provide evidence that proteomic analysis of supporting tissues such as the pancreatic mesenchyme allows for the identification of potentially important factors guiding hESC to pancreas differentiation.

Dynamic Proteomic Analysis of Pancreatic Mesenchyme Reveals Novel Factors That Enhance Human Embryonic Stem Cell to Pancreatic Cell Differentiation

PubMed Central

Russ, Holger A.; Landsman, Limor; Moss, Christopher L.; Higdon, Roger; Greer, Renee L.; Kaihara, Kelly; Salamon, Randy; Kolker, Eugene; Hebrok, Matthias

2016-01-01

Current approaches in human embryonic stem cell (hESC) to pancreatic beta cell differentiation have largely been based on knowledge gained from developmental studies of the epithelial pancreas, while the potential roles of other supporting tissue compartments have not been fully explored. One such tissue is the pancreatic mesenchyme that supports epithelial organogenesis throughout embryogenesis. We hypothesized that detailed characterization of the pancreatic mesenchyme might result in the identification of novel factors not used in current differentiation protocols. Supplementing existing hESC differentiation conditions with such factors might create a more comprehensive simulation of normal development in cell culture. To validate our hypothesis, we took advantage of a novel transgenic mouse model to isolate the pancreatic mesenchyme at distinct embryonic and postnatal stages for subsequent proteomic analysis. Refined sample preparation and analysis conditions across four embryonic and prenatal time points resulted in the identification of 21,498 peptides with high-confidence mapping to 1,502 proteins. Expression analysis of pancreata confirmed the presence of three potentially important factors in cell differentiation: Galectin-1 (LGALS1), Neuroplastin (NPTN), and the Laminin α-2 subunit (LAMA2). Two of the three factors (LGALS1 and LAMA2) increased expression of pancreatic progenitor transcript levels in a published hESC to beta cell differentiation protocol. In addition, LAMA2 partially blocks cell culture induced beta cell dedifferentiation. Summarily, we provide evidence that proteomic analysis of supporting tissues such as the pancreatic mesenchyme allows for the identification of potentially important factors guiding hESC to pancreas differentiation. PMID:26681951

GIS-supported epidemiological analysis on canine Angiostrongylus vasorum and Crenosoma vulpis infections in Germany.

PubMed

Maksimov, Pavlo; Hermosilla, Carlos; Taubert, Anja; Staubach, Christoph; Sauter-Louis, Carola; Conraths, Franz J; Vrhovec, Majda Globokar; Pantchev, Nikola

2017-02-28

Angiostrongylus vasorum infections are the cause of severe cardiopulmonary diseases in dogs. In the past, canine angiostrongylosis has largely been neglected in Europe, although some recent studies indicated an expansion of historically known endemic areas, a phenomenon that might also apply to Crenosoma vulpis. The aim of the present study was to analyse temporal and spatial trends of canine A. vasorum and C. vulpis infections and to perform GIS-supported risk factor analysis to evaluate the role of landscape, age and seasonality in the life-cycle of these nematodes. A total of 12,682 faecal samples from German dogs (collected in 2003-2015) with clinical suspicion for lungworm infection were examined for the presence of A. vasorum and C. vulpis larvae by the Baermann funnel technique and respective epidemiological data (location and age of the sampled dogs, date of sampling) were subjected to GIS-supported risk factor analysis. Overall, A. vasorum and C. vulpis larvae were detected in 288 (2.3%) and 285 (2.2%) faecal samples, respectively. In general, both lungworm infections were found to be widely spread in Germany. GIS-supported analyses demonstrate spatial differences in the occurrence of canine A. vasorum and C. vulpis infections in Germany. also, risk factor analyses revealed an overlap but also diverging risk and protective factors for A. vasorum and C. vulpis infections. The current data also indicate a significant increase of A. vasorum and C. vulpis prevalences from 2003 to 2015 and from 2008 until 2015, respectively, and a potential spread of A. vasorum endemic areas to the northeastern part of Germany. The results of the present study show an insight into the epidemiological situation of lungworm infections (A. vasorum and C. vulpis) of the past 13 years in Germany. The data clearly demonstrate an increase of diagnosed A. vasorum prevalence in the tested dog population between 2003 and 2015 as well as spatial differences in the occurrence of diagnosed

Supporting Scientific Analysis within Collaborative Problem Solving Environments

NASA Technical Reports Server (NTRS)

Watson, Velvin R.; Kwak, Dochan (Technical Monitor)

2000-01-01

Collaborative problem solving environments for scientists should contain the analysis tools the scientists require in addition to the remote collaboration tools used for general communication. Unfortunately, most scientific analysis tools have been designed for a "stand-alone mode" and cannot be easily modified to work well in a collaborative environment. This paper addresses the questions, "What features are desired in a scientific analysis tool contained within a collaborative environment?", "What are the tool design criteria needed to provide these features?", and "What support is required from the architecture to support these design criteria?." First, the features of scientific analysis tools that are important for effective analysis in collaborative environments are listed. Next, several design criteria for developing analysis tools that will provide these features are presented. Then requirements for the architecture to support these design criteria are listed. Sonic proposed architectures for collaborative problem solving environments are reviewed and their capabilities to support the specified design criteria are discussed. A deficiency in the most popular architecture for remote application sharing, the ITU T. 120 architecture, prevents it from supporting highly interactive, dynamic, high resolution graphics. To illustrate that the specified design criteria can provide a highly effective analysis tool within a collaborative problem solving environment, a scientific analysis tool that contains the specified design criteria has been integrated into a collaborative environment and tested for effectiveness. The tests were conducted in collaborations between remote sites in the US and between remote sites on different continents. The tests showed that the tool (a tool for the visual analysis of computer simulations of physics) was highly effective for both synchronous and asynchronous collaborative analyses. The important features provided by the tool (and

The Role of Personal Attributes and Social Support Factors on Passive Behaviour in Classroom among Secondary School Students: A Prospective Study

ERIC Educational Resources Information Center

Murberg, Terje A.

2010-01-01

The present study prospectively explored the effects of personal attributes (self-esteem and introversion) and social support factors on passive behaviour in the classroom in a sample of 259 (132 females, 127 males) students in two secondary schools. In the longitudinal multivariate analysis, the student's perceived passive behaviour in the…

Confirmatory factor analysis reveals a latent cognitive structure common to bipolar disorder, schizophrenia, and normal controls.

PubMed

Schretlen, David J; Peña, Javier; Aretouli, Eleni; Orue, Izaskun; Cascella, Nicola G; Pearlson, Godfrey D; Ojeda, Natalia

2013-06-01

We sought to determine whether a single hypothesized latent factor structure would characterize cognitive functioning in three distinct groups. We assessed 576 adults (340 community controls, 126 adults with bipolar disorder, and 110 adults with schizophrenia) using 15 measures derived from nine cognitive tests. Confirmatory factor analysis (CFA) was conducted to examine the fit of a hypothesized six-factor model. The hypothesized factors included attention, psychomotor speed, verbal memory, visual memory, ideational fluency, and executive functioning. The six-factor model provided an excellent fit for all three groups [for community controls, root mean square error of approximation (RMSEA) <0.048 and comparative fit index (CFI) = 0.99; for adults with bipolar disorder, RMSEA = 0.071 and CFI = 0.99; and for adults with schizophrenia, RMSEA = 0.06 and CFI = 0.98]. Alternate models that combined fluency with processing speed or verbal and visual memory reduced the goodness of fit. Multi-group CFA results supported factor invariance across the three groups. Confirmatory factor analysis supported a single six-factor structure of cognitive functioning among patients with schizophrenia or bipolar disorder and community controls. While the three groups clearly differ in level of performance, they share a common underlying architecture of information processing abilities. These cognitive factors could provide useful targets for clinical trials of treatments that aim to enhance information processing in persons with neurological and neuropsychiatric disorders. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Independent Confirmatory Factor Analysis of the Cognitive Assessment System (CAS): What Does CAS Measure?

ERIC Educational Resources Information Center

Kranzler, John H.; Keith, Timothy Z.

1999-01-01

Uses confirmatory factor analysis (CFA) to address unresolved issues concerning the structure of the Cognitive Assessment System, a test of intelligence based upon the planning, attention, and simultaneous-successive (PASS) processes theory of human cognition. Results reveal that the CFA of the standardization data do not support use of the CAS…

Multi-criteria Analysis of Factors for Application of Concrete Composites Considering Their Environmental Harmfulness

NASA Astrophysics Data System (ADS)

Paulikova, A.; Estokova, A.; Mitterpach, J.

2017-10-01

The analysis of factors is important in insight of the selection of proper building material with environmental added value. A comprehensive solution is possible if at the beginning there are all the relevant factors in detail characterized predominately that have got a major impact on the area in terms of environmentalharmfulness prevention. There are many groups of environmental factors. In this article only four factors are considered, i.e. contain of CrVI (mg/kg) and index of mass activity for radionuclides (Ra, Th, K) which are the most harmful. These factors can be evaluated by means of a supplementary tool, e.g. multi-criteriaanalysis, which improves and supports decision processes in the framework of construction bybuilding management, etc.

Validation of the Adolescent Concerns Measure (ACM): evidence from exploratory and confirmatory factor analysis.

PubMed

Ang, Rebecca P; Chong, Wan Har; Huan, Vivien S; Yeo, Lay See

2007-01-01

This article reports the development and initial validation of scores obtained from the Adolescent Concerns Measure (ACM), a scale which assesses concerns of Asian adolescent students. In Study 1, findings from exploratory factor analysis using 619 adolescents suggested a 24-item scale with four correlated factors--Family Concerns (9 items), Peer Concerns (5 items), Personal Concerns (6 items), and School Concerns (4 items). Initial estimates of convergent validity for ACM scores were also reported. The four-factor structure of ACM scores derived from Study 1 was confirmed via confirmatory factor analysis in Study 2 using a two-fold cross-validation procedure with a separate sample of 811 adolescents. Support was found for both the multidimensional and hierarchical models of adolescent concerns using the ACM. Internal consistency and test-retest reliability estimates were adequate for research purposes. ACM scores show promise as a reliable and potentially valid measure of Asian adolescents' concerns.

The Infinitesimal Jackknife with Exploratory Factor Analysis

ERIC Educational Resources Information Center

Zhang, Guangjian; Preacher, Kristopher J.; Jennrich, Robert I.

2012-01-01

The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both…

Factor Retention in Exploratory Factor Analysis: A Comparison of Alternative Methods.

ERIC Educational Resources Information Center

Mumford, Karen R.; Ferron, John M.; Hines, Constance V.; Hogarty, Kristine Y.; Kromrey, Jeffery D.

This study compared the effectiveness of 10 methods of determining the number of factors to retain in exploratory common factor analysis. The 10 methods included the Kaiser rule and a modified Kaiser criterion, 3 variations of parallel analysis, 4 regression-based variations of the scree procedure, and the minimum average partial procedure. The…

Exploratory factor analysis in Rehabilitation Psychology: a content analysis.

PubMed

Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N

2014-11-01

Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.

Confirmatory factor analysis for two questionnaires of caregiving in eating disorders

PubMed Central

Hibbs, Rebecca; Rhind, Charlotte; Sallis, Hannah; Goddard, Elizabeth; Raenker, Simone; Ayton, Agnes; Bamford, Bryony; Arcelus, Jon; Boughton, Nicky; Connan, Frances; Goss, Ken; Lazlo, Bert; Morgan, John; Moore, Kim; Robertson, David; Schreiber-Kounine, Christa; Sharma, Sonu; Whitehead, Linette; Lacey, Hubert; Schmidt, Ulrike; Treasure, Janet

2014-01-01

Objective: Caring for someone diagnosed with an eating disorder (ED) is associated with a high level of burden and psychological distress which can inadvertently contribute to the maintenance of the illness. The Eating Disorders Symptom Impact Scale (EDSIS) and Accommodation and Enabling Scale for Eating Disorders (AESED) are self-report scales to assess elements of caregiving theorised to contribute to the maintenance of an ED. Further validation and confirmation of the factor structures for these scales are necessary for rigorous evaluation of complex interventions which target these modifiable elements of caregiving. Method: EDSIS and AESED data from 268 carers of people with anorexia nervosa (AN), recruited from consecutive admissions to 15 UK inpatient or day patient hospital units, were subjected to confirmatory factor analysis to test model fit by applying the existing factor structures: (a) four-factor structure for the EDSIS and (b) five-factor structure for the AESED. Results: Confirmatory factor analytic results support the existing four-factor and five-factor structures for the EDSIS and the AESED, respectively. Discussion: The present findings provide further validation of the EDSIS and the AESED as tools to assess modifiable elements of caregiving for someone with an ED. PMID:25750785

Internal and External Factors Affecting Teachers' Adoption of Formative Assessment to Support Learning

ERIC Educational Resources Information Center

Izci, Kemal

2016-01-01

Assessment forms an important part of instruction. Assessment that aims to support learning is known as formative assessment and it contributes student's learning gain and motivation. However, teachers rarely use assessment formatively to aid their students' learning. Thus reviewing the factors that limit or support teachers' practices of…

Internal and External Factors Affecting Teachers' Adoption of Formative Assessment to Support Learning

ERIC Educational Resources Information Center

Izci, Kemal

2016-01-01

Assessment forms an important part of instruction. Assessment that aims to support learning is known as formative assessment and it contributes student's learning gain and motivation. However, teachers rarely use assessment formatively to aid their students' learning. Thus, reviewing the factors that limit or support teachers' practices of…

A systematic review of the relationship factor between women and health professionals within the multivariant analysis of maternal satisfaction.

PubMed

Macpherson, Ignacio; Roqué-Sánchez, María V; Legget Bn, Finola O; Fuertes, Ferran; Segarra, Ignacio

2016-10-01

personalised support provided to women by health professionals is one of the prime factors attaining women's satisfaction during pregnancy and childbirth. However the multifactorial nature of 'satisfaction' makes difficult to assess it. Statistical multivariate analysis may be an effective technique to obtain in depth quantitative evidence of the importance of this factor and its interaction with the other factors involved. This technique allows us to estimate the importance of overall satisfaction in its context and suggest actions for healthcare services. systematic review of studies that quantitatively measure the personal relationship between women and healthcare professionals (gynecologists, obstetricians, nurse, midwifes, etc.) regarding maternity care satisfaction. The literature search focused on studies carried out between 1970 and 2014 that used multivariate analyses and included the woman-caregiver relationship as a factor of their analysis. twenty-four studies which applied various multivariate analysis tools to different periods of maternity care (antenatal, perinatal, post partum) were selected. The studies included discrete scale scores and questionnaires from women with low-risk pregnancies. The "personal relationship" factor appeared under various names: care received, personalised treatment, professional support, amongst others. The most common multivariate techniques used to assess the percentage of variance explained and the odds ratio of each factor were principal component analysis and logistic regression. the data, variables and factor analysis suggest that continuous, personalised care provided by the usual midwife and delivered within a family or a specialised setting, generates the highest level of satisfaction. In addition, these factors foster the woman's psychological and physiological recovery, often surpassing clinical action (e.g. medicalization and hospital organization) and/or physiological determinants (e.g. pain, pathologies, etc

Crew interface analysis: Selected articles on space human factors research, 1987 - 1991

NASA Technical Reports Server (NTRS)

Bagian, Tandi (Compiler)

1993-01-01

As part of the Flight Crew Support Division at NASA, the Crew Interface Analysis Section is dedicated to the study of human factors in the manned space program. It assumes a specialized role that focuses on answering operational questions pertaining to NASA's Space Shuttle and Space Station Freedom Programs. One of the section's key contributions is to provide knowledge and information about human capabilities and limitations that promote optimal spacecraft and habitat design and use to enhance crew safety and productivity. The section provides human factors engineering for the ongoing missions as well as proposed missions that aim to put human settlements on the Moon and Mars. Research providing solutions to operational issues is the primary objective of the Crew Interface Analysis Section. The studies represent such subdisciplines as ergonomics, space habitability, man-computer interaction, and remote operator interaction.

Exploratory factor analysis of the Dizziness Handicap Inventory (German version).

PubMed

Kurre, Annette; Bastiaenen, Caroline Hg; van Gool, Christel Jaw; Gloor-Juzi, Thomas; de Bruin, Eling D; Straumann, Dominik

2010-03-15

The Dizziness Handicap Inventory (DHI) is a validated, self-report questionnaire which is widely used as an outcome measure. Previous studies supported the multidimensionality of the DHI, but not the original subscale structure. The objectives of this survey were to explore the dimensions of the Dizziness Handicap Inventory - German version, and to investigate the associations of the retained factors with items assessing functional disability and the Hospital Anxiety and Depression Scale (HADS). Secondly we aimed to explore the retained factors according to the International Classification of Functioning, Disability and Health (ICF). Patients were recruited from a tertiary centre for vertigo, dizziness or balance disorders. They filled in two questionnaires: (1) The DHI assesses precipitating physical factors associated with dizziness/unsteadiness and functional/emotional consequences of symptoms. (2) The HADS assesses non-somatic symptoms of anxiety and depression. In addition, patients answered the third question of the University of California Los Angeles-Dizziness Questionnaire which covers the impact of dizziness and unsteadiness on everyday activities. Principal component analysis (PCA) was performed to explore the dimensions of the DHI. Associations were estimated by Spearman correlation coefficients. One hundred ninety-four patients with dizziness or unsteadiness associated with a vestibular disorder, mean age (standard deviation) of 50.6 (13.6) years, participated. Based on eigenvalues greater one respectively the scree plot we analysed diverse factor solutions. The 3-factor solution seems to be reliable, clinically relevant and can partly be explained with the ICF. It explains 49.2% of the variance. Factor 1 comprises the effect of dizziness and unsteadiness on emotion and participation, factor 2 informs about specific activities or effort provoking dizziness and unsteadiness, and factor 3 focuses on self-perceived walking ability in relation to

Exploratory factor analysis of the Dizziness Handicap Inventory (German version)

PubMed Central

2010-01-01

Background The Dizziness Handicap Inventory (DHI) is a validated, self-report questionnaire which is widely used as an outcome measure. Previous studies supported the multidimensionality of the DHI, but not the original subscale structure. The objectives of this survey were to explore the dimensions of the Dizziness Handicap Inventory - German version, and to investigate the associations of the retained factors with items assessing functional disability and the Hospital Anxiety and Depression Scale (HADS). Secondly we aimed to explore the retained factors according to the International Classification of Functioning, Disability and Health (ICF). Methods Patients were recruited from a tertiary centre for vertigo, dizziness or balance disorders. They filled in two questionnaires: (1) The DHI assesses precipitating physical factors associated with dizziness/unsteadiness and functional/emotional consequences of symptoms. (2) The HADS assesses non-somatic symptoms of anxiety and depression. In addition, patients answered the third question of the University of California Los Angeles-Dizziness Questionnaire which covers the impact of dizziness and unsteadiness on everyday activities. Principal component analysis (PCA) was performed to explore the dimensions of the DHI. Associations were estimated by Spearman correlation coefficients. Results One hundred ninety-four patients with dizziness or unsteadiness associated with a vestibular disorder, mean age (standard deviation) of 50.6 (13.6) years, participated. Based on eigenvalues greater one respectively the scree plot we analysed diverse factor solutions. The 3-factor solution seems to be reliable, clinically relevant and can partly be explained with the ICF. It explains 49.2% of the variance. Factor 1 comprises the effect of dizziness and unsteadiness on emotion and participation, factor 2 informs about specific activities or effort provoking dizziness and unsteadiness, and factor 3 focuses on self-perceived walking

Social support as a protective factor for depression among women caring for children in HIV-endemic South Africa

PubMed Central

Casale, Marisa; Wild, Lauren; Cluver, Lucie; Kuo, Caroline

2014-01-01

Social support has been shown to be a protective resource for mental health among chronically ill adults and caregiver populations. However, to date no known studies have quantitatively explored the relationship between social support and depression among women caring for children in HIV-endemic Southern Africa, although they represent a high risk population for mental health conditions. Using data from a household survey with 2199 adult female caregivers of children, living in two resource-deprived high HIV-prevalence South African communities, we conducted hierarchical logistic regression analysis with interaction terms to assess whether social support had a main effect or stress-buffering effect on depression. Findings provide evidence of stress-buffering of non-HIV-related chronic illness, but not HIV-related illness. Results reinforce the importance of social support for the mental health of chronically ill caregivers, and suggest that factors related to the specific nature of HIV/AIDS may be hindering the potential stress-buffering effects of social support among people living with the disease. Implications for future research and interventions are discussed. PMID:24510353

A Factor Analysis of The Social Interest Index--Revised.

ERIC Educational Resources Information Center

Zarski, John J.; And Others

1983-01-01

Factor analyzed the Social Interest Index-Revised (SII-R), which measures levels of social interest attained in each of four life task areas. Four factors (N=308) were defined, i.e., a self-significance factor, a love factor, a friendship factor, and a work factor. Results support the empirical validity of the scale. (Author/PAS)

The role of supervisor emotional support on individual job satisfaction: A multilevel analysis.

PubMed

Pohl, Sabine; Galletta, Maura

2017-02-01

Supervisor emotional support is a strong determinant of job satisfaction. There is no study examining the effect of supervisor emotional support at the group level on job satisfaction. Multilevel statistical techniques can help disentangle the effects of subjective assessments from those of group factors. The study's aim was to examine the moderating role of supervisor emotional support (group-level variable) on the relationship between work engagement and job satisfaction (individual-level variables). A cross-sectional study was performed in 39units from three Belgian hospitals. A total of 323 nurses completed a self-reported questionnaire. We carried out a multilevel analysis by using Hierarchical Linear Modeling. The results showed that the cross-level interaction was significant. Hence, at individual-level, the nurses with high levels of work engagement showed high levels of job satisfaction and this relationship was stronger when supervisor emotional support at group-level was high. Contextual differences among groups had an impact on the form of the work engagement-job satisfaction relationship. This relationship between work engagement and job satisfaction is an individual and group level phenomenon. Ways to enhance emotional supervisor support include training supervisors in providing support and enhancing communication between nurses and supervisors. Copyright © 2016 Elsevier Inc. All rights reserved.

Human error and commercial aviation accidents: an analysis using the human factors analysis and classification system.

PubMed

Shappell, Scott; Detwiler, Cristy; Holcomb, Kali; Hackworth, Carla; Boquet, Albert; Wiegmann, Douglas A

2007-04-01

The aim of this study was to extend previous examinations of aviation accidents to include specific aircrew, environmental, supervisory, and organizational factors associated with two types of commercial aviation (air carrier and commuter/ on-demand) accidents using the Human Factors Analysis and Classification System (HFACS). HFACS is a theoretically based tool for investigating and analyzing human error associated with accidents and incidents. Previous research has shown that HFACS can be reliably used to identify human factors trends associated with military and general aviation accidents. Using data obtained from both the National Transportation Safety Board and the Federal Aviation Administration, 6 pilot-raters classified aircrew, supervisory, organizational, and environmental causal factors associated with 1020 commercial aviation accidents that occurred over a 13-year period. The majority of accident causal factors were attributed to aircrew and the environment, with decidedly fewer associated with supervisory and organizational causes. Comparisons were made between HFACS causal categories and traditional situational variables such as visual conditions, injury severity, and regional differences. These data will provide support for the continuation, modification, and/or development of interventions aimed at commercial aviation safety. HFACS provides a tool for assessing human factors associated with accidents and incidents.

Cultural factors and social support related to breastfeeding among immigrant mothers in Taipei City, Taiwan.

PubMed

Chen, Tzu-Ling; Tai, Chen-Jei; Chu, Yu-Roo; Han, Kuo-Chiang; Lin, Kuan-Chia; Chien, Li-Yin

2011-02-01

The objectives of this study were to identify cultural factors (including acculturation and breastfeeding cultures in subjects' native countries and those in mainstream Taiwanese society) and social support related to breastfeeding among immigrant mothers in Taiwan. This study was a cross-sectional survey performed from October 2007 through January 2008. The study participants were 210 immigrant mothers living in Taipei City. The prevalence of exclusive and partial breastfeeding at 3 months postpartum was 59.0% and 14.3%, respectively. Logistic regression analysis revealed that breastfeeding experience among mothers-in-law and the perceived level of acceptance of breastfeeding in Taiwan were positively associated with breastfeeding at 3 months postpartum. Immigrant women with a higher level of household activity support were less likely to breastfeed. Immigrant mothers in Taiwan usually come from cultures with a higher acceptance level for breastfeeding; however, their breastfeeding practices are more likely to be influenced by the mainstream culture in Taiwan.

48 CFR 815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2013 CFR

2013-10-01

...-2 Information to support proposal analysis. In evaluating start-up and other non-recurring costs... 48 Federal Acquisition Regulations System 5 2013-10-01 2013-10-01 false Information to support proposal analysis. 815.404-2 Section 815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

48 CFR 815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2010 CFR

2010-10-01

...-2 Information to support proposal analysis. In evaluating start-up and other non-recurring costs... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Information to support proposal analysis. 815.404-2 Section 815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

48 CFR 815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2014 CFR

2014-10-01

...-2 Information to support proposal analysis. In evaluating start-up and other non-recurring costs... 48 Federal Acquisition Regulations System 5 2014-10-01 2014-10-01 false Information to support proposal analysis. 815.404-2 Section 815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

48 CFR 815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2012 CFR

2012-10-01

...-2 Information to support proposal analysis. In evaluating start-up and other non-recurring costs... 48 Federal Acquisition Regulations System 5 2012-10-01 2012-10-01 false Information to support proposal analysis. 815.404-2 Section 815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

48 CFR 815.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2011 CFR

2011-10-01

...-2 Information to support proposal analysis. In evaluating start-up and other non-recurring costs... 48 Federal Acquisition Regulations System 5 2011-10-01 2011-10-01 false Information to support proposal analysis. 815.404-2 Section 815.404-2 Federal Acquisition Regulations System DEPARTMENT OF...

Factors Predicting Sustainability of the Schoolwide Positive Behavior Intervention Support Model

ERIC Educational Resources Information Center

Chitiyo, Jonathan; May, Michael E.

2018-01-01

The Schoolwide Positive Behavior Intervention Support model (SWPBIS) continues to gain widespread use across schools in the United States and abroad. Despite its widespread implementation, little research has examined factors that influence its sustainability. Informed by Rogers's diffusion theory, this study examined school personnel's…

Students' motivation to study dentistry in Malaysia: an analysis using confirmatory factor analysis.

PubMed

Musa, Muhd Firdaus Che; Bernabé, Eduardo; Gallagher, Jennifer E

2015-06-12

Malaysia has experienced a significant expansion of dental schools over the past decade. Research into students' motivation may inform recruitment and retention of the future dental workforce. The objectives of this study were to explore students' motivation to study dentistry and whether that motivation varied by students' and school characteristics. All 530 final-year students in 11 dental schools (6 public and 5 private) in Malaysia were invited to participate at the end of 2013. The self-administered questionnaire, developed at King's College London, collected information on students' motivation to study dentistry and demographic background. Responses on students' motivation were collected using five-point ordinal scales. Confirmatory factor analysis (CFA) was used to evaluate the underlying structure of students' motivation to study dentistry. Multivariate analysis of variance (MANOVA) was used to compare factor scores for overall motivation and sub-domains by students' and school characteristics. Three hundred and fifty-six final-year students in eight schools (all public and two private) participated in the survey, representing an 83% response rate for these schools and 67% of all final-year students nationally. The majority of participants were 24 years old (47%), female (70%), Malay (56%) and from middle-income families (41%) and public schools (78%). CFA supported a model with five first-order factors (professional job, healthcare and people, academic, careers advising and family and friends) which were linked to a single second-order factor representing overall students' motivation. Academic factors and healthcare and people had the highest standardized factor loadings (0.90 and 0.71, respectively), suggesting they were the main motivation to study dentistry. MANOVA showed that students from private schools had higher scores for healthcare and people than those in public schools whereas Malay students had lower scores for family and friends than those

[Habitat factor analysis for Torreya grandis cv. Merrillii based on spatial information technology].

PubMed

Wang, Xiao-ming; Wang, Ke; Ao, Wei-jiu; Deng, Jin-song; Han, Ning; Zhu, Xiao-yun

2008-11-01

Torreya grandis cv. Merrillii, a tertiary survival plant, is a rare tree species of significant economic value and expands rapidly in China. Its special habitat factor analysis has the potential value to provide guide information for its planting, management, and sustainable development, because the suitable growth conditions for this tree species are special and strict. In this paper, the special habitat factors for T. grandis cv. Merrillii in its core region, i.e., in seven villages of Zhuji City, Zhejiang Province were analyzed with Principal Component Analysis (PCA) and a series of data, such as IKONOS image, Digital Elevation Model (DEM), and field survey data supported by the spatial information technology. The results showed that T. grandis cv. Merrillii exhibited high selectivity of environmental factors such as elevation, slope, and aspect. 96.22% of T. grandis cv. Merrillii trees were located at the elevation from 300 to 600 m, 97.52% of them were found to present on the areas whose slope was less than 300, and 74.43% of them distributed on sunny and half-sunny slopes. The results of PCA analysis indicated that the main environmental factors affecting the habitat of T. grandis cv. Merrillii were moisture, heat, and soil nutrients, and moisture might be one of the most important ecological factors for T. grandis cv. Merrillii due to the unique biological and ecological characteristics of the tree species.

Generalized Support Software: Domain Analysis and Implementation

NASA Technical Reports Server (NTRS)

Stark, Mike; Seidewitz, Ed

1995-01-01

For the past five years, the Flight Dynamics Division (FDD) at NASA's Goddard Space Flight Center has been carrying out a detailed domain analysis effort and is now beginning to implement Generalized Support Software (GSS) based on this analysis. GSS is part of the larger Flight Dynamics Distributed System (FDDS), and is designed to run under the FDDS User Interface / Executive (UIX). The FDD is transitioning from a mainframe based environment to systems running on engineering workstations. The GSS will be a library of highly reusable components that may be configured within the standard FDDS architecture to quickly produce low-cost satellite ground support systems. The estimates for the first release is that this library will contain approximately 200,000 lines of code. The main driver for developing generalized software is development cost and schedule improvement. The goal is to ultimately have at least 80 percent of all software required for a spacecraft mission (within the domain supported by the GSS) to be configured from the generalized components.

48 CFR 315.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2011 CFR

2011-10-01

... Information to support proposal analysis. (a)(2) When some or all information sufficient to determine the... 48 Federal Acquisition Regulations System 4 2011-10-01 2011-10-01 false Information to support proposal analysis. 315.404-2 Section 315.404-2 Federal Acquisition Regulations System HEALTH AND HUMAN...

48 CFR 215.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Contract Pricing 215.404-2 Information to support proposal analysis. See PGI 215.404-2 for guidance on... 48 Federal Acquisition Regulations System 3 2010-10-01 2010-10-01 false Information to support proposal analysis. 215.404-2 Section 215.404-2 Federal Acquisition Regulations System DEFENSE ACQUISITION...

48 CFR 315.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2013 CFR

2013-10-01

... Information to support proposal analysis. (a)(2) When some or all information sufficient to determine the... 48 Federal Acquisition Regulations System 4 2013-10-01 2013-10-01 false Information to support proposal analysis. 315.404-2 Section 315.404-2 Federal Acquisition Regulations System HEALTH AND HUMAN...

48 CFR 315.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2012 CFR

2012-10-01

... Information to support proposal analysis. (a)(2) When some or all information sufficient to determine the... 48 Federal Acquisition Regulations System 4 2012-10-01 2012-10-01 false Information to support proposal analysis. 315.404-2 Section 315.404-2 Federal Acquisition Regulations System HEALTH AND HUMAN...

48 CFR 315.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2014 CFR

2014-10-01

... Information to support proposal analysis. (a)(2) When some or all information sufficient to determine the... 48 Federal Acquisition Regulations System 4 2014-10-01 2014-10-01 false Information to support proposal analysis. 315.404-2 Section 315.404-2 Federal Acquisition Regulations System HEALTH AND HUMAN...

48 CFR 215.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2011 CFR

2011-10-01

... Contract Pricing 215.404-2 Information to support proposal analysis. See PGI 215.404-2 for guidance on... 48 Federal Acquisition Regulations System 3 2011-10-01 2011-10-01 false Information to support proposal analysis. 215.404-2 Section 215.404-2 Federal Acquisition Regulations System DEFENSE ACQUISITION...

48 CFR 315.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Information to support proposal analysis. (a)(2) When some or all information sufficient to determine the... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Information to support proposal analysis. 315.404-2 Section 315.404-2 Federal Acquisition Regulations System HEALTH AND HUMAN...

48 CFR 215.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2012 CFR

2012-10-01

... Contract Pricing 215.404-2 Information to support proposal analysis. See PGI 215.404-2 for guidance on... 48 Federal Acquisition Regulations System 3 2012-10-01 2012-10-01 false Information to support proposal analysis. 215.404-2 Section 215.404-2 Federal Acquisition Regulations System DEFENSE ACQUISITION...

Psychometric analysis in support of shortening the Scale for the Assessment of Negative Symptoms.

PubMed

Levine, Stephen Z; Leucht, Stefan

2013-09-01

Despite recent emphasis on the measurement and treatment of negative symptoms, studies of the Scale for the Assessment of Negative Symptoms (SANS) identify different symptom clusters, offer mixed support for its psychometric properties and suggest that it is shortened. The current study objective is to examine the psychometric properties of the SANS and the feasibility of a short research version of the SANS. Data were re-analyzed from three clinical trials that compared placebo and amisulpride to 60 days. Participants had chronic schizophrenia and predominantly negative symptoms (n=487). Baseline data were examined with exploratory factor analysis and Item Response Theory (IRT) to identify a short SANS. The short and original SANS were compared: with confirmatory factor analysis at endpoint; and on symptom response with mixed modeling to compare. Results showed that at baseline the SANS consisted of three factors labeled Affective-flattening, Asociality and Alogia-inattentiveness. IRT suggested a short SANS with 11 items and 3 response options. Comparisons of the original and short SANS showed: the short version was a better fit to the data based on confirmatory factor analysis at endpoint; similar significant (p<.001) correlations between the baseline and subsequent scores; similar reliability; and similar significance (p<.05) on response based on mixed modeling. It is concluded that a short SANS is feasible to assess predominantly negative symptoms in chronic schizophrenia in research settings. Copyright © 2012 Elsevier B.V. and ECNP. All rights reserved.

Scientific Data Analysis and Software Support: Geodynamics

NASA Technical Reports Server (NTRS)

Klosko, Steven; Sanchez, B. (Technical Monitor)

2000-01-01

The support on this contract centers on development of data analysis strategies, geodynamic models, and software codes to study four-dimensional geodynamic and oceanographic processes, as well as studies and mission support for near-Earth and interplanetary satellite missions. SRE had a subcontract to maintain the optical laboratory for the LTP, where instruments such as MOLA and GLAS are developed. NVI performed work on a Raytheon laser altimetry task through a subcontract, providing data analysis and final data production for distribution to users. HBG had a subcontract for specialized digital topography analysis and map generation. Over the course of this contract, Raytheon ITSS staff have supported over 60 individual tasks. Some tasks have remained in place during this entire interval whereas others have been completed and were of shorter duration. Over the course of events, task numbers were changed to reflect changes in the character of the work or new funding sources. The description presented below will detail the technical accomplishments that have been achieved according to their science and technology areas. What will be shown is a brief overview of the progress that has been made in each of these investigative and software development areas. Raytheon ITSS staff members have received many awards for their work on this contract, including GSFC Group Achievement Awards for TOPEX Precision Orbit Determination and the Joint Gravity Model One Team. NASA JPL gave the TOPEX/POSEIDON team a medal commemorating the completion of the primary mission and a Certificate of Appreciation. Raytheon ITSS has also received a Certificate of Appreciation from GSFC for its extensive support of the Shuttle Laser Altimeter Experiment.

Sufficient Social Support as a Possible Preventive Factor against Fighting and Bullying in School Children.

PubMed

Šmigelskas, Kastytis; Vaičiūnas, Tomas; Lukoševičiūtė, Justė; Malinowska-Cieślik, Marta; Melkumova, Marina; Movsesyan, Eva; Zaborskis, Apolinaras

2018-04-26

Background: This study aims to explore how sufficient social support can act as a possible preventive factor against fighting and bullying in school-aged children in 9 European countries. Methods : Data for this study were collected during the 2013/2014 Health Behaviour in School-aged Children (HBSC) survey. The sample consisted of 9 European countries, involving 43,667 school children in total, aged 11, 13 and 15 years. The analysed data focus on social context (relations with family, peers, and school) as well as risk behaviours such as smoking, drunkenness, fighting and bullying in adolescents. The relationships between social support and violent behaviour variables were estimated using multiple regression models and multivariate analyses. Results : Bullying, across 9 countries, was more prevalent than fighting, except for Armenia, Israel, and Poland. The prevalence among countries differed considerably, with fighting being most expressed in Armenia and bullying—in Latvia and Lithuania. The strongest risk factors for bullying and fighting were male gender (less expressed for bullying), smoking and alcohol consumption. In addition, for bullying the social support was similarly strong factor like above-mentioned factors, while for fighting—less significant, but still independent. All forms of social support were significantly relate with lower violent behaviour of school children, and family support was associated most strongly. Regardless the socioeconomic, historical, and cultural differences among selected countries, the enhancement and reinforcement of the social support from possible many different resources should be taken into consideration in prevention programs against school violence behaviours.

Factors influencing the sustainability of volunteer peer support for breast-feeding mothers within a hospital environment: An exploratory qualitative study.

PubMed

Hopper, Heather; Skirton, Heather

2016-01-01

the objectives of this study were to explore breast feeding peer supporters' motivation to volunteer within a hospital environment, to describe their experiences of volunteering within a hospital environment, to examine the relationships between peer supporters and ward staff, and to identify factors contributing to the future sustainability of the service. a qualitative study; peer supporters and clinical ward staff were interviewed using a semi-structured schedule and data were analysed using Thematic Analysis with an inductive approach. six peer supporters and ten ward staff, whose role included giving breast feeding support, working on a maternity ward in one consultant-led unit in England that had been hosting breast feeding peer support volunteers for the previous three years. three main themes were identified: 1. What peer supporters brought to the maternity ward; this included providing breast-feeding mothers with confidence, reassurance and empowerment, and spending 'unhurried time' with mothers; 2. What motivated the peer supporters; this included an interest in midwifery as a future career and a desire to help people; 3. Factors contributing to the sustainability of the service; these included an existing rolling training programme, however recruitment processes were causing long delays and some aspects of operational management needed improvement. individuals with a passion for breast feeding were willing to volunteer as peer supporters and their experience of the activity was positive. Organisational processes did not always provide peer supporters with a positive experience of the organisation and these needed to be improved as they contributed to the future sustainability of the service. the study indicates that a sustainable hospital-based volunteer service for breast feeding peer support requires a rolling training programme for peer supporters, efficient recruitment processes and effective operational management. Copyright © 2015 Elsevier Ltd

Piping benchmark problems. Volume 1. Dynamic analysis uniform support motion response spectrum method

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

Bezler, P.; Hartzman, M.; Reich, M.

1980-08-01

A set of benchmark problems and solutions have been developed for verifying the adequacy of computer programs used for dynamic analysis and design of nuclear piping systems by the Response Spectrum Method. The problems range from simple to complex configurations which are assumed to experience linear elastic behavior. The dynamic loading is represented by uniform support motion, assumed to be induced by seismic excitation in three spatial directions. The solutions consist of frequencies, participation factors, nodal displacement components and internal force and moment components. Solutions to associated anchor point motion static problems are not included.

A Component Analysis of Positive Behaviour Support Plans

ERIC Educational Resources Information Center

McClean, Brian; Grey, Ian

2012-01-01

Background: Positive behaviour support (PBS) emphasises multi-component interventions by natural intervention agents to help people overcome challenging behaviours. This paper investigates which components are most effective and which factors might mediate effectiveness. Method: Sixty-one staff working with individuals with intellectual disability…

48 CFR 1415.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2012 CFR

2012-10-01

... Information to support proposal analysis. The CO shall initiate an audit by sending a completed form DI-1902... 48 Federal Acquisition Regulations System 5 2012-10-01 2012-10-01 false Information to support proposal analysis. 1415.404-2 Section 1415.404-2 Federal Acquisition Regulations System DEPARTMENT OF THE...

48 CFR 1415.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Information to support proposal analysis. The CO shall initiate an audit by sending a completed form DI-1902... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Information to support proposal analysis. 1415.404-2 Section 1415.404-2 Federal Acquisition Regulations System DEPARTMENT OF THE...

48 CFR 1415.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2013 CFR

2013-10-01

... Information to support proposal analysis. The CO shall initiate an audit by sending a completed form DI-1902... 48 Federal Acquisition Regulations System 5 2013-10-01 2013-10-01 false Information to support proposal analysis. 1415.404-2 Section 1415.404-2 Federal Acquisition Regulations System DEPARTMENT OF THE...

48 CFR 1415.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2014 CFR

2014-10-01

... Information to support proposal analysis. The CO shall initiate an audit by sending a completed form DI-1902... 48 Federal Acquisition Regulations System 5 2014-10-01 2014-10-01 false Information to support proposal analysis. 1415.404-2 Section 1415.404-2 Federal Acquisition Regulations System DEPARTMENT OF THE...

48 CFR 1415.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2011 CFR

2011-10-01

... Information to support proposal analysis. The CO shall initiate an audit by sending a completed form DI-1902... 48 Federal Acquisition Regulations System 5 2011-10-01 2011-10-01 false Information to support proposal analysis. 1415.404-2 Section 1415.404-2 Federal Acquisition Regulations System DEPARTMENT OF THE...

Schizophrenia with prominent catatonic features ('catatonic schizophrenia'). II. Factor analysis of the catatonic syndrome.

PubMed

Ungvari, Gabor S; Goggins, William; Leung, Siu-Kau; Gerevich, Jozsef

2007-03-30

Previous factor analyses of catatonia have yielded conflicting results for several reasons including small and/or diagnostically heterogeneous samples and incomparability or lack of standardized assessment. This study examined the factor structure of catatonia in a large, diagnostically homogenous sample of patients with chronic schizophrenia using standardized rating instruments. A random sample of 225 Chinese inpatients diagnosed with schizophrenia according to DSM-IV criteria were selected from the long-stay wards of a psychiatric hospital. They were assessed with a battery of rating scales measuring psychopathology, extrapyramidal motor status, and level of functioning. Catatonia was rated using the Bush-Francis Catatonia Rating Scale. Factor analysis using principal component analysis and Varimax rotation with Kaiser normalization was performed. Four factors were identified with Eigenvalues of 3.27, 2.58, 2.28 and 1.88. The percentage of variance explained by each of the four factors was 15.9%, 12.0%, 11.8% and 10.2% respectively, and together they explained 49.9% of the total variance. Factor 1 loaded on "negative/withdrawn" phenomena, Factor 2 on "automatic" phenomena, Factor 3 on "repetitive/echo" phenomena and Factor 4 on "agitated/resistive" phenomena. In multivariate linear regression analysis negative symptoms and akinesia were associated with 'negative' catatonic symptoms, antipsychotic doses and atypical antipsychotics with 'automatic' symptoms, length of current admission, severity of psychopathology and younger age at onset with 'repetitive' symptoms and age, poor functioning and severity of psychopathology with 'agitated' catatonic symptom scores. The results support recent findings that four main factors underlie catatonic signs/symptoms in chronic schizophrenia.

Social support: an important factor for quality of life in women with hirsutism.

PubMed

Ekbäck, Maria Palmetun; Lindberg, Magnus; Benzein, Eva; Årestedt, Kristofer

2014-12-20

Women with hirsutism have reported imparied health and health-related quality of life (HRQoL). Social support is a factor that might increase HRQoL in chronic diseases, but little is known about this association among women with hirsutism. The aim of the study was to describe social support and explore its association with HRQoL among women with hirsutism. A further aim was to compare HRQoL in women with hirsutism with a Swedish normal population. A questionnaire including socio-demographic questions, Short-Form Health Survey (SF-36), the Multidimensional Scale of Perceived Social Support (MSPSS), and a self-estimation of hairiness using the Ferriman-Gallway scale (F-G scale) was answered by 127 women with hirsutism. Multiple regression analyses showed significant associations between social support and all health dimensions in the SF-36, also after the model was adjusted for age, hairiness and body mass index. Compared to the normal Swedish population, women with hirsutism reported significantly lower HRQoL in all dimensions of the SF-36 (p < 0.01). There is a significant positive association between social support and HRQoL, demonstrating its importance for the ability to adapt to problems associated with hirsutism. As women with hirsutism reported poorer HRQoL compared to the normal population, social support may be a factor to consider in clinical practice.

48 CFR 15.404-2 - Data to support proposal analysis.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 48 Federal Acquisition Regulations System 1 2010-10-01 2010-10-01 false Data to support proposal analysis. 15.404-2 Section 15.404-2 Federal Acquisition Regulations System FEDERAL ACQUISITION REGULATION CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 15.404-2 Data to support proposal analysis. (a) Field pricing...

A sequential factorial analysis approach to characterize the effects of uncertainties for supporting air quality management

NASA Astrophysics Data System (ADS)

Wang, S.; Huang, G. H.; Veawab, A.

2013-03-01

This study proposes a sequential factorial analysis (SFA) approach for supporting regional air quality management under uncertainty. SFA is capable not only of examining the interactive effects of input parameters, but also of analyzing the effects of constraints. When there are too many factors involved in practical applications, SFA has the advantage of conducting a sequence of factorial analyses for characterizing the effects of factors in a systematic manner. The factor-screening strategy employed in SFA is effective in greatly reducing the computational effort. The proposed SFA approach is applied to a regional air quality management problem for demonstrating its applicability. The results indicate that the effects of factors are evaluated quantitatively, which can help decision makers identify the key factors that have significant influence on system performance and explore the valuable information that may be veiled beneath their interrelationships.

Life events, anxiety, social support, personality, and alexithymia in female patients with chronic pain: A path analysis.

PubMed

Zeng, Fanmin; Sun, Xueli; Yang, Bangxiang; Fu, Xiaoqian

2016-03-01

This study sought to identify a model that explains the relationship between psychosocial factors and chronic pain in female patients, and to explore all of these constructs in a single study and provide a more holistic examination of the overall psychosocial factors that female patients with chronic pain encounter. Female patients with chronic pain (n = 147), aged 20-65 (M = 34.9 years, SD = 11.25), from an outpatient pain clinic completed a cross-sectional self-report questionnaire on anxiety, life events, personality, social support, and alexithymia. Data were analyzed by means of path analysis. The direct effect of anxiety on female patients with chronic pain was greatest among all the paths. Personality and alexithymia led to chronic pain in female patients only indirectly, mediated by life events. The personality factors of neuroticism and extraversion were associated positively with social support, which had an indirect effect on the influence of life events on chronic pain. However, alexithymia was associated negatively with social support, which had an indirect effect on the influence of life events on chronic pain. Our findings provide evidence that life events are a mediator in the relationship between personality, social support, alexithymia, and chronic pain in female patients. © 2015 The Authors. Asia-Pacific Psychiatry published by Wiley Publishing Asia Pty Ltd.

Phylogenetic Factor Analysis.

PubMed

Tolkoff, Max R; Alfaro, Michael E; Baele, Guy; Lemey, Philippe; Suchard, Marc A

2018-05-01

Phylogenetic comparative methods explore the relationships between quantitative traits adjusting for shared evolutionary history. This adjustment often occurs through a Brownian diffusion process along the branches of the phylogeny that generates model residuals or the traits themselves. For high-dimensional traits, inferring all pair-wise correlations within the multivariate diffusion is limiting. To circumvent this problem, we propose phylogenetic factor analysis (PFA) that assumes a small unknown number of independent evolutionary factors arise along the phylogeny and these factors generate clusters of dependent traits. Set in a Bayesian framework, PFA provides measures of uncertainty on the factor number and groupings, combines both continuous and discrete traits, integrates over missing measurements and incorporates phylogenetic uncertainty with the help of molecular sequences. We develop Gibbs samplers based on dynamic programming to estimate the PFA posterior distribution, over 3-fold faster than for multivariate diffusion and a further order-of-magnitude more efficiently in the presence of latent traits. We further propose a novel marginal likelihood estimator for previously impractical models with discrete data and find that PFA also provides a better fit than multivariate diffusion in evolutionary questions in columbine flower development, placental reproduction transitions and triggerfish fin morphometry.

Factors Affecting Depression During Pregnancy and the Correlation Between Social Support and Pregnancy Depression.

PubMed

Aktas, Songul; Yesilcicek Calik, Kiymet

2015-09-01

Women are seriously subjected to psychiatric diseases during pregnancy and depression is the most prevailing one among these diseases. There is a relation between the social support and depression in pregnancy whose predisposing factors are genetic, psychological, biological, environmental, and hormonal. This study aimed to determine the frequency of depression symptoms, and its risk factors. Also it studied the correlation between social support and pregnancy depression. This research is a descriptive cross-sectional study. It was conducted on 266 pregnant women selected by simple random method from all pregnant women admitted at the Maternity Hospital of Trabzon, Turkey from May 21 to June 13, 2008. The data were collected with a questionnaire form, the Beck depression inventory (BDI), and the multidimensional scale of perceived social support (MSPSS). The mean BDI score of the pregnant women was 11.12 ± 6.65. According to the BDI, 46.2% of the pregnant women had no depression symptoms, 34.59% of them had mild, 13.91% had moderate, and 4.89% had severe level of depression symptoms. It was found that such factors as the educational level of the pregnant women and their husbands, having an undesired pregnancy, suffering from a chronic disease before pregnancy, presence of pregnancy-related problems, having a child with disability or having relatives whose children had disability, and smoking during pregnancy were the risk factors affecting the severity of the depression symptoms and these results were statistically significant (P < 0.05). On the other hand, the mean MSPSS score was 67.89 ± 14.26 and it was found that the pregnant women got the highest social support from their husbands. It was found that there was a significant correlation between BDI and MSPSS total score and its subscale scores (P < 0.05). According to this study, one-fifth of pregnant women were found to experience depressive symptoms, which require treatment during pregnancy, and the factors

Conceptualizing age-friendly community characteristics in a sample of urban elders: an exploratory factor analysis.

PubMed

Smith, Richard J; Lehning, Amanda J; Dunkle, Ruth E

2013-01-01

Accurate conceptualization and measurement of age-friendly community characteristics would help to reduce barriers to documenting the effects on elders of interventions to create such communities. This article contributes to the measurement of age-friendly communities through an exploratory factor analysis of items reflecting an existing US Environmental Protection Agency policy framework. From a sample of urban elders (n = 1,376), we identified 6 factors associated with demographic and health characteristics: access to business and leisure, social interaction, access to health care, neighborhood problems, social support, and community engagement. Future research should explore the effects of these factors across contexts and populations.

Assessing State Nuclear Weapons Proliferation: Using Bayesian Network Analysis of Social Factors

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

Coles, Garill A.; Brothers, Alan J.; Olson, Jarrod

A Bayesian network (BN) model of social factors can support proliferation assessments by estimating the likelihood that a state will pursue a nuclear weapon. Social factors including political, economic, nuclear capability, security, and national identity and psychology factors may play as important a role in whether a State pursues nuclear weapons as more physical factors. This paper will show how using Bayesian reasoning on a generic case of a would-be proliferator State can be used to combine evidence that supports proliferation assessment. Theories and analysis by political scientists can be leveraged in a quantitative and transparent way to indicate proliferationmore » risk. BN models facilitate diagnosis and inference in a probabilistic environment by using a network of nodes and acyclic directed arcs between the nodes whose connections, or absence of, indicate probabilistic relevance, or independence. We propose a BN model that would use information from both traditional safeguards and the strengthened safeguards associated with the Additional Protocol to indicate countries with a high risk of proliferating nuclear weapons. This model could be used in a variety of applications such a prioritization tool and as a component of state safeguards evaluations. This paper will discuss the benefits of BN reasoning, the development of Pacific Northwest National Laboratory’s (PNNL) BN state proliferation model and how it could be employed as an analytical tool.« less

Exploratory and confirmatory factor analysis of the Adolescent Motivation to Cook Questionnaire: A Self-Determination Theory instrument.

PubMed

Miketinas, Derek; Cater, Melissa; Bailey, Ariana; Craft, Brittany; Tuuri, Georgianna

2016-10-01

Increasing adolescents' motivation and competence to cook may improve diet quality and reduce the risk for obesity and chronic diseases. The objective of this study was to develop an instrument to measure adolescents' intrinsic motivation to prepare healthy foods and the four psychological needs that facilitate motivation identified by the Self Determination Theory (SDT). Five hundred ninety-three high school students (62.7% female) were recruited to complete the survey. Participants indicated to what extent they agreed or disagreed with 25 statements pertaining to intrinsic motivation and perceived competence to cook, and their perceived autonomy support, autonomy, and relatedness to teachers and classmates. Data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and internal consistency reliability. EFA returned a five-factor structure explaining 65.3% of the variance; and CFA revealed that the best model fit was a five-factor structure (χ2 = 524.97 (265); Comparative Fit Index = 0.93; RMSEA = 0.056; and SRMR = 0.04). The sub-scales showed good internal consistency (Intrinsic Motivation: α = 0.94; Perceived Competence: α = 0.92; Autonomy Support: α = 0.94; Relatedness: α = 0.90; and Autonomy: α = 0.85). These results support the application of the Adolescent Motivation to Cook Questionnaire to measure adolescents' motivation and perceived competence to cook, autonomy support by their instructor, autonomy in the classroom, and relatedness to peers. Further studies are needed to investigate whether this instrument can measure change in cooking intervention programs. Copyright © 2016 Elsevier Ltd. All rights reserved.

A Confirmatory Factor Analysis of the Structure of Statistics Anxiety Measure: An examination of four alternative models

PubMed Central

Vahedi, Shahram; Farrokhi, Farahman

2011-01-01

Objective The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Statistics Anxiety Measure (SAM), proposed by Earp. Method The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. Confirmatory factor analysis (CFA) was carried out to determine the factor structures of the Persian adaptation of SAM. Results As expected, the second order model provided a better fit to the data than the three alternative models. Conclusions Hence, SAM provides an equally valid measure for use among college students. The study both expands and adds support to the existing body of math anxiety literature. PMID:22952530

Filter parameter tuning analysis for operational orbit determination support

NASA Technical Reports Server (NTRS)

Dunham, J.; Cox, C.; Niklewski, D.; Mistretta, G.; Hart, R.

1994-01-01

The use of an extended Kalman filter (EKF) for operational orbit determination support is being considered by the Goddard Space Flight Center (GSFC) Flight Dynamics Division (FDD). To support that investigation, analysis was performed to determine how an EKF can be tuned for operational support of a set of earth-orbiting spacecraft. The objectives of this analysis were to design and test a general purpose scheme for filter tuning, evaluate the solution accuracies, and develop practical methods to test the consistency of the EKF solutions in an operational environment. The filter was found to be easily tuned to produce estimates that were consistent, agreed with results from batch estimation, and compared well among the common parameters estimated for several spacecraft. The analysis indicates that there is not a sharply defined 'best' tunable parameter set, especially when considering only the position estimates over the data arc. The comparison of the EKF estimates for the user spacecraft showed that the filter is capable of high-accuracy results and can easily meet the current accuracy requirements for the spacecraft included in the investigation. The conclusion is that the EKF is a viable option for FDD operational support.

Coping support factors among Australians affected by terrorism: 2002 Bali bombing survivors speak.

PubMed

Stevens, Garry J; Dunsmore, Julie C; Agho, Kingsley E; Taylor, Melanie R; Jones, Alison L; Raphael, Beverley

2013-12-16

To examine terrorism survivors' perceptions of factors likely to promote coping and recovery, and to determine whether coping supports vary according to demographic, physical and mental health, incident-exposure and bereavement variables. Individuals directly exposed to and/or bereaved by the 2002 Bali bombings and who had participated in a New South Wales Health therapeutic support program completed cross-sectional telephone interviews during July-November 2010. Spoken passages were categorised into coping support themes. Advocated supports were then examined by demographic, physical and mental health, incident-exposure and bereavement variables. Based on their experiences, respondents identified personal, social and service-related factors that they believed would optimally support future survivors of terrorism. Of the 81 people contacted, 55 (68%) participated, providing a total of 114 comments. Thirty-two respondents were women, and 54 had lost relatives or friends in the bombing. Mean age was 50 years (range, 20-73 years). Four meaningful coping support themes emerged, with excellent inter-rater reliability: professional help and counselling; social support; proactive government response and policy; and personal coping strategies. Women were significantly more likely to advocate the need for proactive government response (P = 0.03). Men were more likely to endorse the use of personal coping strategies (P < 0.01). Respondents diagnosed with a mental health condition since the bombings were significantly less likely to advocate social support processes (P = 0.04). Our findings highlight the perceived value of counselling-related services for terrorism-affected groups. Male survivors may benefit more from mental health interventions that initially build on problem-focused forms of coping, including brief education about reactions and periodic check-ups. Proactive government health and support services that allow simplified and longer-term access were consistently

A component analysis of positive behaviour support plans.

PubMed

McClean, Brian; Grey, Ian

2012-09-01

Positive behaviour support (PBS) emphasises multi-component interventions by natural intervention agents to help people overcome challenging behaviours. This paper investigates which components are most effective and which factors might mediate effectiveness. Sixty-one staff working with individuals with intellectual disability and challenging behaviours completed longitudinal competency-based training in PBS. Each staff participant conducted a functional assessment and developed and implemented a PBS plan for one prioritised individual. A total of 1,272 interventions were available for analysis. Measures of challenging behaviour were taken at baseline, after 6 months, and at an average of 26 months follow-up. There was a significant reduction in the frequency, management difficulty, and episodic severity of challenging behaviour over the duration of the study. Escape was identified by staff as the most common function, accounting for 77% of challenging behaviours. The most commonly implemented components of intervention were setting event changes and quality-of-life-based interventions. Only treatment acceptability was found to be related to decreases in behavioural frequency. No single intervention component was found to have a greater association with reductions in challenging behaviour.

Understanding clinician attitudes towards implementation of guided self-help cognitive behaviour therapy for those who hear distressing voices: using factor analysis to test normalisation process theory.

PubMed

Hazell, Cassie M; Strauss, Clara; Hayward, Mark; Cavanagh, Kate

2017-07-24

The Normalisation Process Theory (NPT) has been used to understand the implementation of physical health care interventions. The current study aims to apply the NPT model to a secondary mental health context, and test the model using exploratory factor analysis. This study will consider the implementation of a brief cognitive behaviour therapy for psychosis (CBTp) intervention. Mental health clinicians were asked to complete a NPT-based questionnaire on the implementation of a brief CBTp intervention. All clinicians had experience of either working with the target client group or were able to deliver psychological therapies. In total, 201 clinicians completed the questionnaire. The results of the exploratory factor analysis found partial support for the NPT model, as three of the NPT factors were extracted: (1) coherence, (2) cognitive participation, and (3) reflexive monitoring. We did not find support for the fourth NPT factor (collective action). All scales showed strong internal consistency. Secondary analysis of these factors showed clinicians to generally support the implementation of the brief CBTp intervention. This study provides strong evidence for the validity of the three NPT factors extracted. Further research is needed to determine whether participants' level of seniority moderates factor extraction, whether this factor structure can be generalised to other healthcare settings, and whether pre-implementation attitudes predict actual implementation outcomes.

Anthropometric data reduction using confirmatory factor analysis.

PubMed

Rohani, Jafri Mohd; Olusegun, Akanbi Gabriel; Rani, Mat Rebi Abdul

2014-01-01

The unavailability of anthropometric data especially in developing countries has remained a limiting factor towards the design of learning facilities with sufficient ergonomic consideration. Attempts to use anthropometric data from developed countries have led to provision of school facilities unfit for the users. The purpose of this paper is to use factor analysis to investigate the suitability of the collected anthropometric data as a database for school design in Nigerian tertiary institutions. Anthropometric data were collected from 288 male students in a Federal Polytechnic in North-West of Nigeria. Their age is between 18-25 years. Nine vertical anthropometric dimensions related to heights were collected using the conventional traditional equipment. Exploratory factor analysis was used to categorize the variables into a model consisting of two factors. Thereafter, confirmatory factor analysis was used to investigate the fit of the data to the proposed model. A just identified model, made of two factors, each with three variables was developed. The variables within the model accounted for 81% of the total variation of the entire data. The model was found to demonstrate adequate validity and reliability. Various measuring indices were used to verify that the model fits the data properly. The final model reveals that stature height and eye height sitting were the most stable variables for designs that have to do with standing and sitting construct. The study has shown the application of factor analysis in anthropometric data analysis. The study highlighted the relevance of these statistical tools to investigate variability among anthropometric data involving diverse population, which has not been widely used for analyzing previous anthropometric data. The collected data is therefore suitable for use while designing for Nigerian students.

Using stakeholder analysis to support moves towards universal coverage: lessons from the SHIELD project.

PubMed

Gilson, Lucy; Erasmus, Ermin; Borghi, Jo; Macha, Janet; Kamuzora, Peter; Mtei, Gemini

2012-03-01

Stakeholder analysis is widely recommended as a tool for gathering insights on policy actor interests in, positions on, and power to influence, health policy issues. Such information is recognized to be critical in developing viable health policy proposals, and is particularly important for new health care financing proposals that aim to secure universal coverage (UC). However, there remain surprisingly few published accounts of the use of stakeholder analysis in health policy development generally, and health financing specifically, and even fewer that draw lessons from experience about how to do and how to use such analysis. This paper, therefore, aims to support those developing or researching UC reforms to think both about how to conduct stakeholder analysis, and how to use it to support evidence-informed pro-poor health policy development. It presents practical lessons and ideas drawn from experience of doing stakeholder analysis around UC reforms in South Africa and Tanzania, combined with insights from other relevant material. The paper has two parts. The first presents lessons of experience for conducting a stakeholder analysis, and the second, ideas about how to use the analysis to support policy design and the development of actor and broader political management strategies. Comparison of experience across South Africa and Tanzania shows that there are some commonalities concerning which stakeholders have general interests in UC reform. However, differences in context and in reform proposals generate differences in the particular interests of stakeholders and their likely positioning on reform proposals, as well as in their relative balance of power. It is, therefore, difficult to draw cross-national policy comparisons around these specific issues. Nonetheless, the paper shows that cross-national policy learning is possible around the approach to analysis, the factors influencing judgements and the implications for, and possible approaches to, management

Factors associated with supportive care needs in glioma patients in the neuro-oncological outpatient setting.

PubMed

Renovanz, Mirjam; Hechtner, Marlene; Janko, Mareile; Kohlmann, Karoline; Coburger, Jan; Nadji-Ohl, Minou; König, Jochem; Ringel, Florian; Singer, Susanne; Hickmann, Anne-Katrin

2017-07-01

Objective of this study aimed at assessing glioma patients' supportive care needs in a neurosurgical outpatient setting and identifying factors that are associated with needs for support. In three neuro-oncological outpatient departments, glioma patients were assessed for their psychosocial needs using the Supportive Care Needs Survey short-form (SCNS-SF34-G). Associations between clinical, sociodemographic, treatment related factors as well as distress (measured with the distress thermometer) and supportive care needs were explored using multivariable general linear models. One-hundred and seventy three of 244 eligible glioma patients participated, most of them with primary diagnoses of a high-grade glioma (81%). Highest need for support was observed in 'psychological needs' (median 17.5, range 5-45) followed by 'physical and daily living needs' (median 12.5, range 0-25) and 'health system and information needs' (median 11.3, range 0-36). Needs in the psychological area were associated with distress (R 2  = 0.36) but not with age, sex, Karnofsky performance status (KPS), extend of resection, currently undergoing chemotherapy and whether guidance during assessment was offered. Regarding 'health system and information needs', we observed associations with distress, age, currently undergoing chemotherapy and guidance (R 2  = 0.31). In the domain 'physical and daily living needs' we found associations with KPS, residual tumor, as well as with distress (R 2  = 0.37). Glioma patients in neuro-oncological departments report unmet supportive care needs, especially in the psychological domain. Distress is the factor most consistently associated with unmet needs requiring support and could serve as indicator for clinical neuro-oncologists to initiate support.

Risk factors and mediating pathways of loneliness and social support in community-dwelling older adults.

PubMed

Schnittger, Rebecca I B; Wherton, Joseph; Prendergast, David; Lawlor, Brian A

2012-01-01

To develop biopsychosocial models of loneliness and social support thereby identifying their key risk factors in an Irish sample of community-dwelling older adults. Additionally, to investigate indirect effects of social support on loneliness through mediating risk factors. A total of 579 participants (400 females; 179 males) were given a battery of biopsychosocial assessments with the primary measures being the De Jong Gierveld Loneliness Scale and the Lubben Social Network Scale along with a broad range of secondary measures. Bivariate correlation analyses identified items to be included in separate psychosocial, cognitive, biological and demographic multiple regression analyses. The resulting model items were then entered into further multiple regression analyses to obtain overall models. Following this, bootstrapping mediation analyses was conducted to examine indirect effects of social support on the subtypes (emotional and social) of loneliness. The overall model for (1) emotional loneliness included depression, neuroticism, perceived stress, living alone and accommodation type, (2) social loneliness included neuroticism, perceived stress, animal naming and number of grandchildren and (3) social support included extraversion, executive functioning (Trail Making Test B-time), history of falls, age and whether the participant drives or not. Social support influenced emotional loneliness predominantly through indirect means, while its effect on social loneliness was more direct. These results characterise the biopsychosocial risk factors of emotional loneliness, social loneliness and social support and identify key pathways by which social support influences emotional and social loneliness. These findings highlight issues with the potential for consideration in the development of targeted interventions.

Are person-related and socio-structural factors associated with nurses' self-management support behavior? A correlational study.

PubMed

Duprez, Veerle; Beeckman, Dimitri; Verhaeghe, Sofie; Van Hecke, Ann

2018-02-01

To explore nurses' self-perceived behavior of supporting patients' self-management, and its association with person-related and socio-structural factors. Correlational study in a sample of nurses from nine general hospitals, three community healthcare organizations, and six private community practices. Nurses with >50% of their patients living with a chronic condition were eligible to participate. Data were collected at two time-points. Self-management support behavior was measured by the SEPSS-36 instrument. The person-related and socio-structural associated factors were derived from behavioral theories and measured by validated questionnaires. Nurses (N=477) scored overall low on self-management support behavior. Nurses lacked mainly competencies in collaborative goalsetting, shared decision making and organizing follow-up. Factors predicting nurses' behavior in supporting patients' self-management were self-efficacy, priority, perceived supervisor support and training in self-management support. This model explained 51.7% of the variance in nurses' behavior. To date, nurses do not optimally fulfil their role in supporting patients' self-management. Self-management support is practiced from a narrow medical point of view and primarily consists of informing patients, which is the lowest level of patient participation. It is essential to better prepare and support nurses - and by extend all healthcare professionals - for the challenges of supporting patients' self-management. Copyright © 2017 Elsevier B.V. All rights reserved.

Comparisons of Exploratory and Confirmatory Factor Analysis.

ERIC Educational Resources Information Center

Daniel, Larry G.

Historically, most researchers conducting factor analysis have used exploratory methods. However, more recently, confirmatory factor analytic methods have been developed that can directly test theory either during factor rotation using "best fit" rotation methods or during factor extraction, as with the LISREL computer programs developed…

A geostatistical approach to the change-of-support problem and variable-support data fusion in spatial analysis

NASA Astrophysics Data System (ADS)

Wang, Jun; Wang, Yang; Zeng, Hui

2016-01-01

A key issue to address in synthesizing spatial data with variable-support in spatial analysis and modeling is the change-of-support problem. We present an approach for solving the change-of-support and variable-support data fusion problems. This approach is based on geostatistical inverse modeling that explicitly accounts for differences in spatial support. The inverse model is applied here to produce both the best predictions of a target support and prediction uncertainties, based on one or more measurements, while honoring measurements. Spatial data covering large geographic areas often exhibit spatial nonstationarity and can lead to computational challenge due to the large data size. We developed a local-window geostatistical inverse modeling approach to accommodate these issues of spatial nonstationarity and alleviate computational burden. We conducted experiments using synthetic and real-world raster data. Synthetic data were generated and aggregated to multiple supports and downscaled back to the original support to analyze the accuracy of spatial predictions and the correctness of prediction uncertainties. Similar experiments were conducted for real-world raster data. Real-world data with variable-support were statistically fused to produce single-support predictions and associated uncertainties. The modeling results demonstrate that geostatistical inverse modeling can produce accurate predictions and associated prediction uncertainties. It is shown that the local-window geostatistical inverse modeling approach suggested offers a practical way to solve the well-known change-of-support problem and variable-support data fusion problem in spatial analysis and modeling.

Citation analysis of Canadian psycho-oncology and supportive care researchers.

PubMed

Hack, Thomas F; Crooks, Dauna; Plohman, James; Kepron, Emma

2014-02-01

The purpose of this study was to conduct a historical review of psycho-oncology and supportive care research in Canada using citation analysis and to review the clinical impact of the research conducted by the most highly cited researchers. The lifetime journal publication records of 109 psycho-oncology and supportive care researchers in Canada were subject to citation analysis using the Scopus database, based on citations since 1996 of articles deemed relevant to psychosocial oncology and supportive care, excluding self-citations. Three primary types of analysis were performed for each individual: the number of citations for each journal publication, a summative citation count of all published articles, and the Scopus h-index. The top 20 psycho-oncology/supportive care researchers for each of five citation categories are presented: the number of citations for all publications; the number of citations for first-authored publications; the most highly cited first-authored publications; the Scopus h-index for all publications; and the Scopus h-index for first-authored publications. The three most highly cited Canadian psycho-oncology researchers are Dr. Kerry Courneya (University of Alberta), Dr. Lesley Degner, (University of Manitoba), and Dr. Harvey Chochinov (University of Manitoba). Citation analysis is useful for examining the research performance of psycho-oncology and supportive care researchers and identifying leaders among them.

[Analysis of influential factors for job burnout among managers in a joint venture in Guangzhou, China].

PubMed

Lin, Qiu-hong; Jiang, Chao-qiang; Liu, Yi-min; Guo, Jing-yi; Lam, Tai Hing

2013-12-01

To investigate the influential factors for job burnout among the managerial staff in a Sino-Japanese joint venture automobile manufacturer in Guangzhou, China. A total of 288 managers in a Sino-Japanese joint venture automobile manufacturer were surveyed using the Occupational Stress Indicator, Maslach Burnout Inventory (MBI), Eysenck Personality Questionnaire, Simplified Coping Style Questionnaire, and Social Support Rating Scale. On the depersonalization dimension, the male managers had significantly higher scores than the female managers. The scores of emotion exhaustion and depersonalization of MBI showed significant differences among the managers with different levels of occupational stress. The path analysis showed that occupational stress, neuroticism, and psychoticism had negative effects on emotion exhaustion, while job satisfaction and utilization of social support had direct positive effects on emotion exhaustion. Occupational stress, psychoticism, and passive coping style had direct negative effects on depersonalization, while job satisfaction, objective support, and utilization of social support had positive effects on depersonalization. Job satisfaction and active coping style had positive effects on sense of personal accomplishment, while passive coping style had a negative effect on sense of personal accomplishment. Personality exerted its effect on social support through coping style and thus on job satisfaction and job burnout. Male managers have a greater propensity to depersonalization than their female counterparts. High occupational stress is a risk factor for job burnout. Personality, social support, and coping style are influential factors for job burnout.

Factors associated with parent support for condom education and availability.

PubMed

AugsJoost, Brett; Jerman, Petra; Deardorff, Julianna; Harley, Kim; Constantine, Norman A

2014-04-01

Expanding condom-related knowledge and skills and reducing barriers to condom use have the potential to help reduce pregnancies and sexually transmitted infections among youth. These goals are sometimes addressed through condom education and availability (CEA) programs as part of sexuality education in school. Parents are a key constituency in efforts to implement such programs. A representative statewide sample of households with children (N = 1,093) in California was employed to examine parent support for CEA and the potential influences of demographics (gender, age, and Hispanic ethnicity), sociodemographics (education, religious affiliation, religious service attendance, and political ideology), and condom-related beliefs (belief in condom effectiveness and belief that teens who use condoms during sex are being responsible) on parent support for CEA. The parents in our sample reported a high level of support for CEA (M = 3.23 on a 4-point scale) and believing in a high level of condom effectiveness (M = 3.36 on a 4-point scale). In addition, 84% of the parents agreed that teens who use condoms during sex are being responsible. Hierarchical regression analyses showed that parents who were younger, Hispanic, with a lower educational attainment, without a religious affiliation, less religiously observant, and politically liberal were more supportive of CEA. After controlling for these demographic and sociodemographic factors, condom effectiveness and responsibility beliefs each added independently to the predictability of parent support for CEA. These findings suggest that parent education related to condom effectiveness could help increase support for school-based CEA programs.

Bootstrap Standard Error Estimates in Dynamic Factor Analysis

ERIC Educational Resources Information Center

Zhang, Guangjian; Browne, Michael W.

2010-01-01

Dynamic factor analysis summarizes changes in scores on a battery of manifest variables over repeated measurements in terms of a time series in a substantially smaller number of latent factors. Algebraic formulae for standard errors of parameter estimates are more difficult to obtain than in the usual intersubject factor analysis because of the…

An exploration of the structure of mentors' behavior in nursing education using exploratory factor analysis and Mokken scale analysis.

PubMed

Chen, Yanhua; Watson, Roger; Hilton, Andrea

2016-05-01

To understand nursing students' expectation from their mentors and assess mentors' performance, a scale of mentors' behavior was developed based on literature review and focus group in China. This study aims to explore the structure of mentors' behavior. A cross-sectional survey. Data were collected from nursing students in three hospitals in southwest China in 2014. A total of 669 pre-registered nursing students in their final year clinical learning participated in this study. Exploratory factor analysis and Mokken scale analysis was employed to explore the structure and hierarchical property of mentors' behavior. Three dimensions (professional development, facilitating learning and psychosocial support) were identified by factor analysis and confirmed by Mokken scaling analysis. The three sub-scales showed internal consistency reliability from 87% to 91%, and moderate to strong precision in ordering students' expectation about mentors' behavior and a small Mokken scale showing hierarchy was identified. Some insight into the structure of mentoring in nursing education has been obtained and a scale which could be used in the study of mentoring and in the preparation of mentors has been developed. Copyright © 2016 Elsevier Ltd. All rights reserved.

How Factor Analysis Can Be Used in Classification.

ERIC Educational Resources Information Center

Harman, Harry H.

This is a methodological study that suggests a taxometric technique for objective classification of yeasts. It makes use of the minres method of factor analysis and groups strains of yeast according to their factor profiles. The similarities are judged in the higher-dimensional space determined by the factor analysis, but otherwise rely on the…

Conceptualizing Age-Friendly Community Characteristics in a Sample of Urban Elders: An Exploratory Factor Analysis

PubMed Central

Smith, Richard J.; Lehning, Amanda J.; Dunkle, Ruth E.

2012-01-01

Accurate conceptualization and measurement of age-friendly community characteristics would help to reduce barriers to documenting the effects on elders of interventions to create such communities. This article contributes to the measurement of age-friendly communities through an exploratory factor analysis of items reflecting an existing U.S. Environmental Protection Agency policy framework. From a sample of urban elders (n =1,376), we identified six factors associated with demographic and health characteristics: Access to Business and Leisure, Social Interaction, Access to Health Care, Neighborhood Problems, Social Support, and Community Engagement. Future research should explore the effects of these factors across contexts and populations. PMID:23350565

Assessing social support among South Asians: the multidimensional scale of perceived social support.

PubMed

Tonsing, Kareen; Zimet, Gregory D; Tse, Samson

2012-06-01

The psychometric properties of the Multidimensional Scale of Perceived Social Support (MSPSS) of the Urdu (MSPSS-U) and Nepali (MSPSS-N) versions were investigated among Pakistani (n=148) and Nepalese (n=153) respondents living in Hong Kong. The factor analysis of the MSPSS-N conducted in this study confirmed the three factors of the original MSPSS, namely, Family, Friend, and Significant Others, while only two factors were extracted from the MSPSS-U (i.e., the Family and Friends subscales). With regard to construct validity, both the MSPSS-U and MSPSS-N were inversely correlated with depression, anxiety and stress as assessed by the Depression Anxiety Stress Scale (DASS-21). The internal reliability and construct validity of the MSPSS-U and MSPSS-N were also established and provided support for the validity of both versions as tools for measuring perceived social support among South Asian migrants. Copyright © 2012 Elsevier B.V. All rights reserved.

Modifiable Factors that Support Political Participation by Nurses.

PubMed

Woodward, Bobbi; Smart, Denise; Benavides-Vaello, Sandra

2016-01-01

Political participation is an opportunity for individuals to give their time and energy in such a way that it benefits others and advances relevant agendas. Political participation is a key issue for nurses because they are familiar with clinical issues that directly impact health care policies instituted at the local, state, and federal levels. Collectively, nurses also represent the largest number of health care providers in the United States and are among the most trusted health professionals. However, there are many obstacles that prevent nurses from taking a more active role in politics, creating a gap in how nurses pursue and respond to political participation, or civic engagement. The purpose of this exploratory review is to identify modifiable factors that support political participation among nurses. A review of the extant literature revealed three primary factors that promote civic engagement among nurses: (a) integration of political education in the nursing curriculum; (b) value of active psychological engagement, including a personal interest in political knowledge and information; and (c) value of collective influence such as membership in professional organizations. Copyright © 2016 Elsevier Inc. All rights reserved.

Supportive Group Factors, Course Pedagogy, and Multicultural Competency within Multicultural Psychology Courses

ERIC Educational Resources Information Center

Stoyer, Michael Ryan

2017-01-01

This study examined the relationship between course pedagogy and supportive group factors with variables of multicultural competency and multicultural counseling self-efficacy at the completion of a multicultural psychology course. The participants were students in graduate clinical psychology, counseling psychology, and school psychology programs…

Exploratory factor analysis of the 12-item Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale in people newly diagnosed with advanced cancer.

PubMed

Bai, Mei; Dixon, Jane K

2014-01-01

The purpose of this study was to reexamine the factor pattern of the 12-item Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale (FACIT-Sp-12) using exploratory factor analysis in people newly diagnosed with advanced cancer. Principal components analysis (PCA) and 3 common factor analysis methods were used to explore the factor pattern of the FACIT-Sp-12. Factorial validity was assessed in association with quality of life (QOL). Principal factor analysis (PFA), iterative PFA, and maximum likelihood suggested retrieving 3 factors: Peace, Meaning, and Faith. Both Peace and Meaning positively related to QOL, whereas only Peace uniquely contributed to QOL. This study supported the 3-factor model of the FACIT-Sp-12. Suggestions for revision of items and further validation of the identified factor pattern were provided.

DOD Product Support Business Case Analysis Guidebook

DTIC Science & Technology

2011-04-01

Mitigation Plans ................................................................................................ 30 4.8 Sensitivity Analysis...Product Support BCA concludes with a recommendation and associated specific actions and an implementation plan to achieve stated organizational...primary executer of the actions and recommendations derived out of the BCA. Within the program office, the PSM has the responsibility to plan

Reasons for living, social support, and Afrocentric worldview: assessing buffering factors related to Black Americans' suicidal behavior.

PubMed

Wang, Mei-Chuan; Joel Wong, Y; Tran, Kimberly K; Nyutu, Pius N; Spears, Angela

2013-01-01

This study utilized an ecological framework to explore the role of 4 culturally relevant protective factors-reasons for living, Afrocentric worldview, family support, and friend support-in protecting Black American college students from suicidal behavior. Participants were 289 Black American college students. We hypothesized that these 4 culturally relevant factors would exert indirect protective effects on suicidal behavior through their association with reduced depressive symptoms. Results indicated that reasons for living, perceived supportive behaviors from family, and Afrocentric worldview exerted indirect protective effects on suicidal behaviors through their negative associations with depressive symptoms. The mediation effect from friend support to depression and suicidal behavior was not significant.

Measuring workplace social support for workers with disability.

PubMed

Lysaght, Rosemary; Fabrigar, Leandre; Larmour-Trode, Sherrey; Stewart, Jeremy; Friesen, Margaret

2012-09-01

Social support in the workplace has been has been demonstrated to serve as a contributor to a worker's ability to manage work demands and to manage stress. Research in the area of disability management indicates that interpersonal factors play an important role in the success of return-to-work interventions. The role of workplace support has received limited attention in rehabilitation, despite the salience of support to the disability management process. Prior to this study, there existed no validated quantitative measure of social support for workers who re-enter the workplace following injury or disability. A support measure prototype, the Support for Workers with Disability Scale, was tested with 152 workers in accommodated work situations. Four validation tools were used to assess criterion validity. Factor analysis was used to validate the content structure and reduce the total number of response items. Additional analysis was conducted to determine the ability of the measure to discriminate between groups, and to provide insight into how social support operates in workplaces. Based on analysis, a reduced measure consisting of 41 items and measuring supervisor, co-worker, and non-work supports was created. Secondary analysis disclosed information concerning the nature of supports in the workplace. Higher levels of support were identified for workers with fewer work role limitations and for those with one versus multiple injury claims. This tool provides a validated outcome measure for research examining the social aspects of workplace disability. It can also serve as a quality management tool for human resource professionals engaged in continuous improvement of disability management programs.

A Review of CEFA Software: Comprehensive Exploratory Factor Analysis Program

ERIC Educational Resources Information Center

Lee, Soon-Mook

2010-01-01

CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…

Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands.

PubMed

Marston, Luke; Kelly, Gerard C; Hale, Erick; Clements, Archie C A; Hodge, Andrew; Jimenez-Soto, Eliana

2014-08-18

The goal of malaria elimination faces numerous challenges. New tools are required to support the scale up of interventions and improve national malaria programme capacity to conduct detailed surveillance. This study investigates the cost factors influencing the development and implementation of a spatial decision support system (SDSS) for malaria elimination in the two elimination provinces of Isabel and Temotu, Solomon Islands. Financial and economic costs to develop and implement a SDSS were estimated using the Solomon Islands programme's financial records. Using an ingredients approach, verified by stakeholders and operational reports, total costs for each province were quantified. A budget impact sensitivity analysis was conducted to investigate the influence of variations in standard budgetary components on the costs and to identify potential cost savings. A total investment of US$ 96,046 (2012 constant dollars) was required to develop and implement the SDSS in two provinces (Temotu Province US$ 49,806 and Isabel Province US$ 46,240). The single largest expense category was for computerized equipment totalling approximately US$ 30,085. Geographical reconnaissance was the most expensive phase of development and implementation, accounting for approximately 62% of total costs. Sensitivity analysis identified different cost factors between the provinces. Reduced equipment costs would deliver a budget saving of approximately 10% in Isabel Province. Combined travel costs represented the greatest influence on the total budget in the more remote Temotu Province. This study provides the first cost analysis of an operational surveillance tool used specifically for malaria elimination in the South-West Pacific. It is demonstrated that the costs of such a decision support system are driven by specialized equipment and travel expenses. Such factors should be closely scrutinized in future programme budgets to ensure maximum efficiencies are gained and available resources

Gender difference in sickness absence from work: a multiple mediation analysis of psychosocial factors.

PubMed

Casini, Annalisa; Godin, Isabelle; Clays, Els; Kittel, France

2013-08-01

Previous research has shown that job characteristics, private life and psychosocial factors partially account for gender difference in work absences because of sickness. Most studies have analysed these factors separately. The aim of the present study was to evaluate whether these explanatory factors act as mediators when they are considered simultaneously. The evaluated data set comprises the merger of two Belgian longitudinal studies, BELSTRESS III and SOMSTRESS. It includes 3821 workers (1541 men) aged 21-66 years, employed in eight organizations. A multiple mediation analysis was performed to explain the higher prevalence among women. Estimated factors were occupational grade, total number of paid working hours per week, job strain, overcommitment, home-work interference and social support at and outside work. Prospective data concerning duration and frequency of medically justified sickness absence (registered by the organizations) were used as outcomes. Overall, the mediating factors partially account for gender difference in sickness absence. The strongest mediator for both outcomes is job strain. In addition, difference in absence duration is mediated by social support at work, whereas difference in frequency is mediated by professional grade and home-work interference. Our results call attention to the necessity to elaborate actual preventive actions aiming at favouring a better positioning of women on the labour market in term of hierarchical level as well as in terms of quality of work for reducing sickness absence in this group.

Analysis and Test Support for Phillips Laboratory Precision Structures

DTIC Science & Technology

1998-11-01

Air Force Research Laboratory ( AFRL ), Phillips Research Site . Task objectives centered...around analysis and structural dynamic test support on experiments within the Space Vehicles Directorate at Kirtland Air Force Base. These efforts help...support for Phillips Laboratory Precision Structures." Mr. James Goodding of CSA Engineering was the principal investigator for this task. Mr.

Individual, Social, and Environmental Factors Associated With Support for Smoke-Free Housing Policies Among Subsidized Multiunit Housing Tenants

PubMed Central

2013-01-01

Introduction: Mandatory smoke-free policies in subsidized, multiunit housing (MUH) may decrease secondhand smoke exposure in households with the highest rates of exposure. Ideally, policies should be based on a strong understanding of factors affecting support for smoke-free policies in the target population to maximize effectiveness. Methods: A face-to-face survey was conducted from August to October 2011 using a stratified random sample of private subsidized housing units in Columbus, OH, without an existing smoke-free policy (n = 301, 64% response rate). Lease holders were asked to report individual, social, and environmental factors hypothesized to be related to support for smoke-free policies. Multiple logistic regression models were used to identify factors independently associated with policy support. Results: Most tenants supported smoke-free policies in common areas (82.7%), half supported policies inside units (54.5%), and one third supported a ban outside the building (36.3%). Support for smoke-free policies in units and outdoors was more common among nonsmokers than smokers (71.5% vs. 35.7%, p < .001 and 46.2% vs. 25.4%, p < .001, respectively). Several individual and social, but no environmental, factors were independently associated with policy support. Smokers who intended to quit within 6 months or less were more likely than other smokers to support in-unit policies (45.3% vs. 21.1%; p = .003). Conclusions: More than half of subsidized MUH tenants supported smoke-free policies inside their units. Strategies to address individual- and social-level barriers to behavior change should be implemented in parallel with smoke-free policies. Policies should be evaluated with objective measures to determine their effectiveness. PMID:23136269

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

PubMed

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

2017-01-20

Objective: To investigate the influencing factors for job satisfaction in train drivers. Methods: In March 2012, cluster sampling was used to conduct a cross-sectional survey in 1413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 350 passenger shunting train drivers, and 79 high-speed train drivers) from a locomotive depot of a railway bureau. The occupational stress instruments, job content questionnaire, and effort-reward imbalance questionnaire were used to analyze job satisfaction, occupational stress factors, stress reaction, individual characteristics, coping strategies, and social support. Results: There were significant differences in job satisfaction score between the drivers with different posts, working years, ages, smoking status, and drinking status ( P <0.01). The correlation analysis revealed that job satisfaction score was positively correlated with reward, working stability, promotion opportunity, positive emotion, social support, self-esteem, and coping strategy scores ( P <0.01) and negatively correlated with sleep disorders, effort, role conflict, intergroup conflict, responsibility for persons, responsibility for things, psychological needs, physiological needs, daily stress, negative emotion, and depressive symptom scores ( P < 0.01). The analysis of variance showed that compared with the moderate and low job satisfaction groups, the high job satisfaction group had significantly higher reward, positive emotion, promotion opportunity, and role ambiguity scores ( P <0.01) , as well as significantly lower scores of responsibility for persons and responsibility for things ( P <0.01). Compared with the moderate and high job satisfaction groups the low job satisfaction group had significantly higher scores of psychological needs, effort, role conflict, sleep disorders, daily stress, depressive symptom, negative emotion, drug use, intragroup conflict, and social support ( P <0.01) , and the moderate job

Physics Metacognition Inventory Part II: Confirmatory factor analysis and Rasch analysis

NASA Astrophysics Data System (ADS)

Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

2015-11-01

The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition, planning, monitoring, evaluation, debugging, and information management. The college students' scores on the inventory were found to be reliable and related to students' physics motivation and physics grade. However, the results of the exploratory factor analysis indicated that the questionnaire could be revised to improve its construct validity. The goal of this study was to revise the questionnaire and establish its construct validity through a confirmatory factor analysis. In addition, a Rasch analysis was applied to the data to better understand the psychometric properties of the inventory and to further evaluate the construct validity. Results indicated that the final, revised inventory is a valid, reliable, and efficient tool for assessing student metacognition for physics problem solving.

Non-suicidal self-injury within the school context: Multilevel analysis of teachers' support and peer climate.

PubMed

Madjar, N; Ben Shabat, S; Elia, R; Fellner, N; Rehavi, M; Rubin, S E; Segal, N; Shoval, G

2017-03-01

Recent studies regarding non-suicidal self-injury (NSSI) among adolescents have focused primarily on individual characteristics (e.g., depressive symptoms) and background factors (e.g., parental relationship), whereas less emphasis has been given to the role of school-related factors in NSSI. Therefore, the purpose of the current study was to explore the relationships between teachers' support, peer climate, and NSSI within the school context. The sample consisted of 594 high school students nested within 27 regular classes (54.4% boys; mean age 14.96, SD=1.33 years). The students were evaluated for NSSI behaviors, perception of teacher support, peer climate, relationships with mothers, and depressive symptoms using validated scales. The primary analysis used hierarchical linear modeling (HLM), controlling for gender and age. The main findings indicated that teacher support was positively associated with NSSI at the classroom-level (OR=6.15, 95% CI=2.05-18.5) but negatively associated at the student-level (OR=0.66, 95% CI=0.49-0.89). There was a trend toward an association between positive peer climate and NSSI at the classroom-level (OR=0.43, 95% CI=0.18-1.05), while negative peer climate was associated with NSSI at the student-level (OR=1.37, 95% CI=1.00-1.87). School-related factors are associated with NSSI behaviors among students. Teachers and educators should focus on both individual-level and classroom-level perceptions of school context. Students who feel supported by their teachers and who are exposed to a positive peer climate are less likely to engage in NSSI. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

A multiple linear regression analysis of factors affecting the simulated Basic Life Support (BLS) performance with Automated External Defibrillator (AED) in Flemish lifeguards.

PubMed

Iserbyt, Peter; Schouppe, Gilles; Charlier, Nathalie

2015-04-01

Research investigating lifeguards' performance of Basic Life Support (BLS) with Automated External Defibrillator (AED) is limited. Assessing simulated BLS/AED performance in Flemish lifeguards and identifying factors affecting this performance. Six hundred and sixteen (217 female and 399 male) certified Flemish lifeguards (aged 16-71 years) performed BLS with an AED on a Laerdal ResusciAnne manikin simulating an adult victim of drowning. Stepwise multiple linear regression analysis was conducted with BLS/AED performance as outcome variable and demographic data as explanatory variables. Mean BLS/AED performance for all lifeguards was 66.5%. Compression rate and depth adhered closely to ERC 2010 guidelines. Ventilation volume and flow rate exceeded the guidelines. A significant regression model, F(6, 415)=25.61, p<.001, ES=.38, explained 27% of the variance in BLS performance (R2=.27). Significant predictors were age (beta=-.31, p<.001), years of certification (beta=-.41, p<.001), time on duty per year (beta=-.25, p<.001), practising BLS skills (beta=.11, p=.011), and being a professional lifeguard (beta=-.13, p=.029). 71% of lifeguards reported not practising BLS/AED. Being young, recently certified, few days of employment per year, practising BLS skills and not being a professional lifeguard are factors associated with higher BLS/AED performance. Measures should be taken to prevent BLS/AED performances from decaying with age and longer certification. Refresher courses could include a formal skills test and lifeguards should be encouraged to practise their BLS/AED skills. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Self-management support by final year nursing students: A correlational study of performance and person-related associated factors.

PubMed

Duprez, Veerle; Beeckman, Dimitri; Verhaeghe, Sofie; Van Hecke, Ann

2017-09-01

Chronic conditions put a heavy burden on healthcare in every country. Supporting persons with a chronic illness to take an active role in the management of their condition is a core component in the Chronic Care Model. It implies confidence and good skills from professionals. To date, there is no evidence on final year nursing students' performance in supporting patients' self-management, nor on factors associated with this performance. To explore self-reported performance of supporting patients' self-management by final year nursing students, and person-related factors associated with this performance. A correlational multi-centre study of final year nursing students (N=256) from eight nursing schools. Students were recruited from a convenience sample of eight nursing schools. All final year students were invited to participate. Data were collected between January 2015 and May 2016 using self-administered validated questionnaires. Theoretical behavioural frameworks were used to select hypothesized associated factors for self-management support: self-efficacy to perform self-management support and socio-structural factors (Social Cognitive Theory); needs for autonomy, competence and relatedness, and patient-invested contingent self-esteem (Self-Determination Theory); and attitudes towards supporting patients' self-management (Theory of Planned Behaviour). Final year nursing students (N=256) reported an overall low level of performance in delivering self-management support during internship. Students lacked mainly competencies in collaborative goal setting and shared decision making. Students reported a significant gap between their confidence and their actual performance in self-management support (p<0.001). About 33% of the variance in students' performance is predicted by four person-related factors, i.e. self-efficacy to perform self-management support, general feeling of competency on internship, belief on patients' knowledge about condition management, and

Multi-Factor Analysis for Selecting Lunar Exploration Soft Landing Area and the best Cruise Route

NASA Astrophysics Data System (ADS)

Mou, N.; Li, J.; Meng, Z.; Zhang, L.; Liu, W.

2018-04-01

Selecting the right soft landing area and planning a reasonable cruise route are the basic tasks of lunar exploration. In this paper, the Von Karman crater in the Antarctic Aitken basin on the back of the moon is used as the study area, and multi-factor analysis is used to evaluate the landing area and cruise route of lunar exploration. The evaluation system mainly includes the factors such as the density of craters, the impact area of craters, the formation of the whole area and the formation of some areas, such as the vertical structure, rock properties and the content of (FeO + TiO2), which can reflect the significance of scientific exploration factor. And the evaluation of scientific exploration is carried out on the basis of safety and feasibility. On the basis of multi-factor superposition analysis, three landing zones A, B and C are selected, and the appropriate cruising route is analyzed through scientific research factors. This study provides a scientific basis for the lunar probe landing and cruise route planning, and it provides technical support for the subsequent lunar exploration.

Social support and its interrelationships with demand-control model factors on presenteeism and absenteeism in Japanese civil servants.

PubMed

Saijo, Yasuaki; Yoshioka, Eiji; Nakagi, Yoshihiko; Kawanishi, Yasuyuki; Hanley, Sharon J B; Yoshida, Takahiko

2017-08-01

To elucidate the impact of social support and its interrelations with other demand-control-support (DCS) model factors on presenteeism and absenteeism, and to determine which DCS factors were most influential. Questionnaires from 2535 local government employees were analyzed. The Brief Job Stress Questionnaire (BJSQ) was used to assess DCS factors including job demand, job control, and social support from supervisors and coworkers. The Stanford Presenteeism Scale 13-item version (SPS-13) was used to evaluate both absenteeism (absent days) and presenteeism. For the latter, the Work Impairment Score (WIS) and the Work Output Score (WOS) were also used. Possible confounder-adjusted logistic and negative binomial regression analyses were performed to obtain odds ratios (ORs) for WIS and WOS and relative risks (RRs) for absenteeism according to DCS factors. Higher job control had a significantly protective effect on higher WIS in both males and females and a lower WOS in males. Based on a point estimate of an OR per 1 standard deviation change of each DCS factor, job control had the strongest effect on higher WIS in both males and females and a lower WOS in males. Higher job demand resulted in significantly higher ORs for both male and female WIS, and a lower WOS in females. Support from supervisors had a significantly protective effect on higher WIS in females and a lower WOS in males. Support from coworkers had a significantly protective effect on higher WIS in males. Higher support from coworkers had a significantly protective effect on absenteeism among both males and females, and higher job control had a significantly protective effect in females. The combination of high job strain and low support from supervisors had a significantly worsening effect, except for absenteeism in females. High job strain and low support from coworkers had a significantly worsening effect except for WOS in males. The results suggest job control was the DCS factor most related to

Social support and factors associated with self-efficacy among acute-care nurse practitioners.

PubMed

Hu, Sophia H; Yu, Ya-Mei; Chang, Wen-Yin; Lin, Yen-Kuang

2018-02-01

To investigate the relationship of nurse practitioners' social support as well as other factors associated with perceived self-efficacy. There is a growing demand for nurse practitioners in Taiwan, for whom self-perceived efficacy is associated with performance. Nevertheless, research on the self-efficacy and social support of nurse practitioners is limited. This is a cross-sectional survey study. Questionnaires were distributed to nurse practitioners in seven hospitals in northern Taiwan from May 2015 to March 2016. In total, data from 335 (78% return rate) certified nurse practitioners were analysed. Social support was measured by the Multidimensional Scale of Perceived Social Support (MSPSS) and the Job Content Questionnaire (JCQ), and perceived self-efficacy was measured by the General Self-Efficacy Scale (GSE). Data were analysed by ANOVAs with post hoc test and multiple linear regression. The mean score for self-efficacy was 27.60 ± 6.17. Support scores were 11.574 ± 2.37 for supervisors, 12.795 ± 1.92 for coworkers and 64.07 ± 10.16 for family, friends and significant others. nurse practitioners in the high monthly salary group had significantly higher self-efficacy than nurse practitioners in the medium and low monthly salary group (F = 8.99; p < .01). Social support from coworkers (β = 0.18, p < .01) and family, friends and significant others (β = 0.15, p < .01) and a higher monthly salary were significant factors. The self-efficacy of nurse practitioners in hospitals in Taiwan is insufficient. Monthly salary and levels of social support were found to contribute to nurse practitioners' self-efficacy. Thus, to enhance nurse practitioners' self-efficacy and work performance, nursing leaders should address these issues. The findings inform hospital administrators to be aware of the importance of salary in relation to nurse practitioners' perceptions of social support and self-efficacy. © 2017 John Wiley & Sons Ltd.

Factors affecting the HIV/AIDS epidemic: an ecological analysis of global data.

PubMed

Mondal, M N I; Shitan, M

2013-06-01

All over the world the prevalence of Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS) has became a stumbling stone in progress of human civilization and is a huge concern for people worldwide. To determine the social and health factors which contribute to increase the size of HIV epidemic globally. The country level indicators of HIV prevalence rates, are contraceptive prevalence rate, physicians density, proportion of Muslim populations, adolescent fertility rate, and mean year of schooling were compiled of 187 countries from the United Nations (UN) agencies. To extract the major factors from those indicators of the later five categories, backward multiple regression analysis was used as the statistical tool. The national HIV prevalence rate was significantly correlated with almost all the predictors. Backward multiple linear regression analysis identified the proportion of Muslims, physicians density, and adolescent fertility rate are as the three most prominent factors linked with the national HIV epidemic. The findings support the hypotheses that a higher adolescent fertility rate in the population is the adverse effect of premarital and extramarital sex that leads to longer period of sexual activity which increases the risk of HIV infection. On the hand, and cultural restrictions of Muslims and sufficient physicians will decelerate the spread of HIV infections in the society.

Social-cognitive risk factors for violence in psychosis: A discriminant function analysis.

PubMed

de Jong, Steven; van Donkersgoed, Rozanne; Renard, Selwyn; Carter, Sarah; Bokern, Hein; Lysaker, Paul; van der Gaag, Mark; Aleman, André; Pijnenborg, Gerdina Hendrika Maria

2018-04-14

It has been proposed that mixed findings in studies investigating social cognition as a risk factor for violence in psychosis may be explained by utilizing a framework distinguishing between social-cognitive tests which measure relatively more basic operations (e.g. facial affect recognition) and measures of more complex operations (mentalizing, metacognition). The current study investigated which social cognitive and metacognitive processes are related to a violent history over and above illness-related deficits. Data from control participants (n = 33), patients with a psychotic disorder and no violent history (n = 27), and patients with a psychotic disorder in a forensic clinic (n = 23) were analyzed utilizing discriminant analysis. Metacognition and associative learning emerged as significant factors in predicting group membership between the three groups. In a follow-up analysis between only the patient groups, metacognitive Self-Reflectivity and Empathic Accuracy emerged as statistically significant predictors of group membership. The control group presented with higher levels of social cognitive and metacognitive capacity than patient groups, and the forensic patient group had lower levels than the non-forensic patient group. Our findings support previous research findings implying impaired metacognitive Self-Reflectivity in particular as a risk factor for violence. Copyright © 2018. Published by Elsevier B.V.

A meta-analysis of risk factors for post-traumatic stress disorder in children and adolescents.

PubMed

Trickey, David; Siddaway, Andy P; Meiser-Stedman, Richard; Serpell, Lucy; Field, Andy P

2012-03-01

Post-traumatic stress disorder (PTSD) is a complex and chronic disorder that causes substantial distress and interferes with social and educational functioning. Consequently, identifying the risk factors that make a child more likely to experience traumatic distress is of academic, clinical and social importance. This meta-analysis estimated the population effect sizes of 25 potential risk factors for PTSD in children and adolescents aged 6-18 years across 64 studies (N=32,238). Medium to large effect sizes were shown for many factors relating to subjective experience of the event and post-trauma variables (low social support, peri-trauma fear, perceived life threat, social withdrawal, comorbid psychological problem, poor family functioning, distraction, PTSD at time 1, and thought suppression); whereas pre-trauma variables and more objective measures of the assumed severity of the event generated small to medium effect sizes. This indicates that subjective peri-trauma factors and post-event factors are likely to have a major role in determining whether a child develops PTSD following exposure to a traumatic event. Such factors could potentially be assessed following a potentially traumatic event in order to screen for those most vulnerable to developing PTSD and target treatment efforts accordingly. The findings support the cognitive model of PTSD as a way of understanding its development and guiding interventions to reduce symptoms. Copyright © 2011 Elsevier Ltd. All rights reserved.

Confirmatory Analysis of Simultaneous, Sequential, and Achievement Factors on the K-ABC at 11 Age Levels Ranging from 2 1/2 to 12 1/2 years.

ERIC Educational Resources Information Center

Willson, Victor L.; And Others

1985-01-01

Presents results of confirmatory factor analysis of the Kaufman Assessment Battery for children which is based on the underlying theoretical model of sequential, simultaneous, and achievement factors. Found support for the two-factor, simultaneous and sequential processing model. (MCF)

A comparison study on detection of key geochemical variables and factors through three different types of factor analysis

NASA Astrophysics Data System (ADS)

Hoseinzade, Zohre; Mokhtari, Ahmad Reza

2017-10-01

Large numbers of variables have been measured to explain different phenomena. Factor analysis has widely been used in order to reduce the dimension of datasets. Additionally, the technique has been employed to highlight underlying factors hidden in a complex system. As geochemical studies benefit from multivariate assays, application of this method is widespread in geochemistry. However, the conventional protocols in implementing factor analysis have some drawbacks in spite of their advantages. In the present study, a geochemical dataset including 804 soil samples collected from a mining area in central Iran in order to search for MVT type Pb-Zn deposits was considered to outline geochemical analysis through various fractal methods. Routine factor analysis, sequential factor analysis, and staged factor analysis were applied to the dataset after opening the data with (additive logratio) alr-transformation to extract mineralization factor in the dataset. A comparison between these methods indicated that sequential factor analysis has more clearly revealed MVT paragenesis elements in surface samples with nearly 50% variation in F1. In addition, staged factor analysis has given acceptable results while it is easy to practice. It could detect mineralization related elements while larger factor loadings are given to these elements resulting in better pronunciation of mineralization.

Supportive Relationships in Autism Spectrum Disorder: Perspectives of Individuals with ASD and Supporters

PubMed Central

Robledo, Jodi; Donnellan, Anne M.

2016-01-01

This study explored 17 dyads of academically successful people with Autism Spectrum Disorder (ASD) and individuals who they identified as supportive. Qualitative methods, including in-depth interviews, participant observations, and document analysis, were used to study these supportive relationships. The purpose of the study was to develop a substantive grounded theory regarding supportive relationships within the lives of individuals with ASD. A dynamic model of supportive relationships emerged, with trust, unity, and support as the three core categories of these relationships. The data suggest that the quality of the relationship between an individual with ASD and the support provider can be a critical factor within effective support. These findings suggest that there is much yet to be learned about the social world of individuals with ASD. PMID:27827873

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

PubMed

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

2007-06-01

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

A hierarchical factor analysis of a safety culture survey.

PubMed

Frazier, Christopher B; Ludwig, Timothy D; Whitaker, Brian; Roberts, D Steve

2013-06-01

Recent reviews of safety culture measures have revealed a host of potential factors that could make up a safety culture (Flin, Mearns, O'Connor, & Bryden, 2000; Guldenmund, 2000). However, there is still little consensus regarding what the core factors of safety culture are. The purpose of the current research was to determine the core factors, as well as the structure of those factors that make up a safety culture, and establish which factors add meaningful value by factor analyzing a widely used safety culture survey. A 92-item survey was constructed by subject matter experts and was administered to 25,574 workers across five multi-national organizations in five different industries. Exploratory and hierarchical confirmatory factor analyses were conducted revealing four second-order factors of a Safety Culture consisting of Management Concern, Personal Responsibility for Safety, Peer Support for Safety, and Safety Management Systems. Additionally, a total of 12 first-order factors were found: three on Management Concern, three on Personal Responsibility, two on Peer Support, and four on Safety Management Systems. The resulting safety culture model addresses gaps in the literature by indentifying the core constructs which make up a safety culture. This clarification of the major factors emerging in the measurement of safety cultures should impact the industry through a more accurate description, measurement, and tracking of safety cultures to reduce loss due to injury. Copyright © 2013 National Safety Council and Elsevier Ltd. All rights reserved.

Multilevel Confirmatory Factor Analysis of the Teacher My Class Inventory-Short Form

ERIC Educational Resources Information Center

Villares, Elizabeth; Mariani, Melissa; Sink, Christopher A.; Colvin, Kimberly

2016-01-01

Researchers analyzed data from elementary teachers (N = 233) to further establish the psychometric soundness of the Teacher My Class Inventory-Short Form. Supporting previous psychometric research, confirmatory factor analyses findings supported the factorial validity of the hypothesized five-factor solution. Internal reliability estimates were…

Families affected by childhood cancer: an analysis of the provision of social support within online support groups.

PubMed

Coulson, N S; Greenwood, N

2012-11-01

With increasing access to the Internet, there are new opportunities available to families to seek information, advice and support about childhood cancer online. A total of 487 messages were retrieved from three childhood cancer online support groups and were analysed using deductive thematic analysis for the presence of support-intended communication using Cutrona and Suhr's social support typology. In addition, the messages were examined for negative experiences or disadvantages. The results revealed the presence of five types of social support: emotional, informational, esteem support and tangible assistance. In addition, some potential limitations of online support were identified, including a lack of responses and difficulties in maintaining relationships outside the online group context. This study suggests that online support groups may offer the potential to support family members of children with cancer. In particular, it may be a useful resource for those seeking emotional and information support. However, there may be limitations associated with the use of online support groups. © 2011 Blackwell Publishing Ltd.

Internal and External Factors That Support Children's Minority First Language and English.

PubMed

Pham, Giang; Tipton, Timothy

2018-05-22

Sequential bilingual children in the United States often speak 2 languages that have different social statuses (minority-majority) and separate contexts for learning (home-school). Thus, distinct factors may support the development of each language. This study examined which child internal and external factors were related to vocabulary skills in a minority language versus English. Participants included 69 children, aged 5-8 years, who lived in Southern California, spoke Vietnamese as the home language, and received school instruction in English. All participants had at least 1 foreign-born parent, and most mothers reported limited English proficiency. Parents completed a telephone survey, and children completed measures of receptive and expressive vocabulary in each language. Using correlations and stepwise regression, we examined predictors of vocabulary skills in each language that were internal to the child (age, gender, analytical reasoning, phonological memory) or that pertained to the surrounding environment (cumulative exposure, quantity and quality of input/output). Vietnamese vocabulary outcomes were related to multiple external factors, of which input and enrichment activities were the best predictors. In contrast, English vocabulary outcomes were related to internal factors, of which age and phonological memory were the best predictors. Parental use of Vietnamese contributed to children's Vietnamese vocabulary outcomes but was not related to children's English vocabulary outcomes. Vietnamese exposure does not hinder English development. Children from immigrant families are learning English with or without familial support. Rich and frequent exposure and opportunities for practice are essential for the continued development of a minority first language.

Analysis of a spacecraft life support system for a Mars mission.

PubMed

Czupalla, M; Aponte, V; Chappell, S; Klaus, D

2004-01-01

This report summarizes a trade study conducted as part of the Fall 2002 semester Spacecraft Life Support System Design course (ASEN 5116) in the Aerospace Engineering Sciences Department at the University of Colorado. It presents an analysis of current life support system technologies and a preliminary design of an integrated system for supporting humans during transit to and on the surface of the planet Mars. This effort was based on the NASA Design Reference Mission (DRM) for the human exploration of Mars [NASA Design Reference Mission (DRM) for Mars, Addendum 3.0, from the world wide web: http://exploration.jsc.nasa.gov/marsref/contents.html.]. The integrated design was broken into four subsystems: Water Management, Atmosphere Management, Waste Processing, and Food Supply. The process started with the derivation of top-level requirements from the DRM. Additional system and subsystem level assumptions were added where clarification was needed. Candidate technologies were identified and characterized based on performance factors. Trade studies were then conducted for each subsystem. The resulting technologies were integrated into an overall design solution using mass flow relationships. The system level trade study yielded two different configurations--one for the transit to Mars and another for the surface habitat, which included in situ resource utilization. Equivalent System Mass analyses were used to compare each design against an open-loop (non-regenerable) baseline system. c2003 International Astronautical Federation. Published by Elsevier Ltd. All rights reserved.

Using BMDP and SPSS for a Q factor analysis.

PubMed

Tanner, B A; Koning, S M

1980-12-01

While Euclidean distances and Q factor analysis may sometimes be preferred to correlation coefficients and cluster analysis for developing a typology, commercially available software does not always facilitate their use. Commands are provided for using BMDP and SPSS in a Q factor analysis with Euclidean distances.

Classification of Support Needs for Elderly Outpatients with Diabetes Who Live Alone.

PubMed

Miyawaki, Yoshiko; Shimizu, Yasuko; Seto, Natsuko

2016-02-01

To investigate the support needs of elderly patients with diabetes and to classify elderly patients with diabetes living alone on the basis of support needs. Support needs were derived from a literature review of relevant journals and interviews of outpatients as well as expert nurses in the field of diabetes to prepare a 45-item questionnaire. Each item was analyzed on a 4-point Likert scale. The study included 634 elderly patients with diabetes who were recruited from 3 hospitals in Japan. Exploratory factor analysis was performed to determine the underlying structure of support needs, followed by hierarchical cluster analysis to clarify the characteristics of patients living alone (n=104) who had common support needs. Exploratory factor analysis suggested a 5-factor solution with 23 items: (1) hope for class and gatherings, (2) hope for personal advice including emergency response, (3) supportlessness and hopelessness, (4) barriers to food preparation, (5) hope of safe medical therapy. The hierarchical cluster analysis of subjects yielded 7 clusters, including a no special-support needs group, a collective support group, a self-care support group, a personal-support focus group, a life-support group, a food-preparation support group and a healthcare-environment support group. The support needs of elderly patients with diabetes who live alone can be divided into 2 categories: life and self-care support. Implementation of these categories in outpatient-management programs in which contact time with patients is limited is important in the overall management of elderly patients with diabetes who are living alone. Copyright © 2015 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.

[Social support and occupational stress relationship analysis of 1 413 train drivers in a railway bureau].

PubMed

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

2017-02-06

Objective: To investigate the social support status of train drivers. Methods: Using cluster sampling, a cross-sectional study was conducted in 1 413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 85 guest scheduling train drivers, 265 cargo adjustable drivers, and 79 high-speed train drivers) from a railway bureau depot. The survey included individual factors, social support, occupational stressors, strains, personalities, and coping strategy using occupational stress instruments and effort-reward imbalance questionnaire. We compared the difference in social support scores between different drivers, who were divided according to job type and age. Additionally, the correlation between social support score and job strain-related factors was analyzed. The influence of depressive symptoms and job satisfaction were analyzed using a non-conditional logistic multivariate model. Results: The overall average age P (50) ( P (25), P (75)) of 1 413 train drivers was 33.92 (27.83,43.58) years. The overall average length of service 12.25 (5.25,22.75) years. A significant difference in social support scores was observed according to job type ( H =23.23, P< 0.001). The specific scores were passenger driver(27 (23,32)), freight train driver (26 (22,30)), guest scheduling driver (27 (24,30)), cargo adjustable driver (26 (22,31)), and high-speed train driver (30 (26,36)) ( P (50)( P (25), P (75))). Additionally, social support scores among different age groups were significantly different ( H =6.64, P= 0.036). The specific scores were ≤30 years (26 (22,31)), 30-40 years (27 (23,33)), and >40 years (27 (22,31)). Correlation analysis revealed that the social support score was negatively associated with job satisfaction ( r=- 0.43), reward ( r=- 0.22), working stability ( r=- 0.23), promotion opportunities ( r=- 0.12), positive affectivity ( r=- 0.31), esteem ( r=- 0.21), and self-esteem ( r=- 0.20) scores ( P< 0.001). The social support score

Likelihood-Based Confidence Intervals in Exploratory Factor Analysis

ERIC Educational Resources Information Center

Oort, Frans J.

2011-01-01

In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In oblique solutions, the correlations between common factors are free to be estimated as well. The purpose of this article is to show how likelihood-based confidence intervals can be obtained for rotated factor loadings and factor correlations, by…

Quantification and site-specification of the support practice factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island of Crete.

PubMed

Karydas, Christos G; Sekuloska, Tijana; Silleos, Georgios N

2009-02-01

Due to inappropriate agricultural management practices, soil erosion is becoming one of the most dangerous forms of soil degradation in many olive farming areas in the Mediterranean region, leading to significant decrease of soil fertility and yield. In order to prevent further soil degradation, proper measures are necessary to be locally implemented. In this perspective, an increase in the spatial accuracy of remote sensing datasets and advanced image analysis are significant tools necessary and efficient for mapping soil erosion risk on a fine scale. In this study, the Revised Universal Soil Loss Equation (RUSLE) was implemented in the spatial domain using GIS, while a very high resolution satellite image, namely a QuickBird image, was used for deriving cover management (C) and support practice (P) factors, in order to map the risk of soil erosion in Kolymvari, a typical olive farming area in the island of Crete, Greece. The results comprised a risk map of soil erosion when P factor was taken uniform (conventional approach) and a risk map when P factor was quantified site-specifically using object-oriented image analysis. The results showed that the QuickBird image was necessary in order to achieve site-specificity of the P factor and therefore to support fine scale mapping of soil erosion risk in an olive cultivation area, such as the one of Kolymvari in Crete. Increasing the accuracy of the QB image classification will further improve the resulted soil erosion mapping.

Cognitive Task Analysis and Work-Centered Support System Recommendations for a Deployed Network Operations Support Center (NOSC-D)

DTIC Science & Technology

2001-08-01

This report presents the results of a preliminary Cognitive Task Analysis (CTA) of the deployed Network Operations Support Center (NOSC-D), and the...conducted Cognitive Task Analysis interviews with four (4) NOSC-D personnel. Because of the preliminary nature of the finding, the analysis is

Controlled ecological life support system: Transportation analysis

NASA Technical Reports Server (NTRS)

Gustan, E.; Vinopal, T.

1982-01-01

This report discusses a study utilizing a systems analysis approach to determine which NASA missions would benefit from controlled ecological life support system (CELSS) technology. The study focuses on manned missions selected from NASA planning forecasts covering the next half century. Comparison of various life support scenarios for the selected missions and characteristics of projected transportation systems provided data for cost evaluations. This approach identified missions that derived benefits from a CELSS, showed the magnitude of the potential cost savings, and indicated which system or combination of systems would apply. This report outlines the analytical approach used in the evaluation, describes the missions and systems considered, and sets forth the benefits derived from CELSS when applicable.

48 CFR 915.404-2 - Information to support proposal analysis.

Code of Federal Regulations, 2010 CFR

2010-10-01

... for the auditor's review. (ii) Copies of technical analysis reports prepared by DOE technical or other... proposal analysis. 915.404-2 Section 915.404-2 Federal Acquisition Regulations System DEPARTMENT OF ENERGY... support proposal analysis. (a)(1) Field pricing assistance as discussed in FAR 15.404-2(a) is not required...

FRamework Assessing Notorious Contributing Influences for Error (FRANCIE): Perspective on Taxonomy Development to Support Error Reporting and Analysis

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

Lon N. Haney; David I. Gertman

2003-04-01

Beginning in the 1980s a primary focus of human reliability analysis was estimation of human error probabilities. However, detailed qualitative modeling with comprehensive representation of contextual variables often was lacking. This was likely due to the lack of comprehensive error and performance shaping factor taxonomies, and the limited data available on observed error rates and their relationship to specific contextual variables. In the mid 90s Boeing, America West Airlines, NASA Ames Research Center and INEEL partnered in a NASA sponsored Advanced Concepts grant to: assess the state of the art in human error analysis, identify future needs for human errormore » analysis, and develop an approach addressing these needs. Identified needs included the need for a method to identify and prioritize task and contextual characteristics affecting human reliability. Other needs identified included developing comprehensive taxonomies to support detailed qualitative modeling and to structure meaningful data collection efforts across domains. A result was the development of the FRamework Assessing Notorious Contributing Influences for Error (FRANCIE) with a taxonomy for airline maintenance tasks. The assignment of performance shaping factors to generic errors by experts proved to be valuable to qualitative modeling. Performance shaping factors and error types from such detailed approaches can be used to structure error reporting schemes. In a recent NASA Advanced Human Support Technology grant FRANCIE was refined, and two new taxonomies for use on space missions were developed. The development, sharing, and use of error taxonomies, and the refinement of approaches for increased fidelity of qualitative modeling is offered as a means to help direct useful data collection strategies.« less

What School Psychologists Need to Know about Factor Analysis

ERIC Educational Resources Information Center

McGill, Ryan J.; Dombrowski, Stefan C.

2017-01-01

Factor analysis is a versatile class of psychometric techniques used by researchers to provide insight into the psychological dimensions (factors) that may account for the relationships among variables in a given dataset. The primary goal of a factor analysis is to determine a more parsimonious set of variables (i.e., fewer than the number of…

Item Factor Analysis: Current Approaches and Future Directions

ERIC Educational Resources Information Center

Wirth, R. J.; Edwards, Michael C.

2007-01-01

The rationale underlying factor analysis applies to continuous and categorical variables alike; however, the models and estimation methods for continuous (i.e., interval or ratio scale) data are not appropriate for item-level data that are categorical in nature. The authors provide a targeted review and synthesis of the item factor analysis (IFA)…

Q-Type Factor Analysis of Healthy Aged Men.

ERIC Educational Resources Information Center

Kleban, Morton H.

Q-type factor analysis was used to re-analyze baseline data collected in 1957, on 47 men aged 65-91. Q-type analysis is the use of factor methods to study persons rather than tests. Although 550 variables were originally studied involving psychiatry, medicine, cerebral metabolism and chemistry, personality, audiometry, dichotic and diotic memory,…

48 CFR 215.404-2 - Data to support proposal analysis.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 48 Federal Acquisition Regulations System 3 2013-10-01 2013-10-01 false Data to support proposal... REGULATIONS SYSTEM, DEPARTMENT OF DEFENSE CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 215.404-2 Data to support proposal analysis. See PGI 215.404-2 for guidance on obtaining...

48 CFR 215.404-2 - Data to support proposal analysis.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 48 Federal Acquisition Regulations System 3 2014-10-01 2014-10-01 false Data to support proposal... REGULATIONS SYSTEM, DEPARTMENT OF DEFENSE CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 215.404-2 Data to support proposal analysis. See PGI 215.404-2 for guidance on obtaining...

Text mining factor analysis (TFA) in green tea patent data

NASA Astrophysics Data System (ADS)

Rahmawati, Sela; Suprijadi, Jadi; Zulhanif

2017-03-01

Factor analysis has become one of the most widely used multivariate statistical procedures in applied research endeavors across a multitude of domains. There are two main types of analyses based on factor analysis: Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Both EFA and CFA aim to observed relationships among a group of indicators with a latent variable, but they differ fundamentally, a priori and restrictions made to the factor model. This method will be applied to patent data technology sector green tea to determine the development technology of green tea in the world. Patent analysis is useful in identifying the future technological trends in a specific field of technology. Database patent are obtained from agency European Patent Organization (EPO). In this paper, CFA model will be applied to the nominal data, which obtain from the presence absence matrix. While doing processing, analysis CFA for nominal data analysis was based on Tetrachoric matrix. Meanwhile, EFA model will be applied on a title from sector technology dominant. Title will be pre-processing first using text mining analysis.

People, organizational, and leadership factors impacting informatics support for clinical and translational research

PubMed Central

2013-01-01

Background In recent years, there have been numerous initiatives undertaken to describe critical information needs related to the collection, management, analysis, and dissemination of data in support of biomedical research (J Investig Med 54:327-333, 2006); (J Am Med Inform Assoc 16:316–327, 2009); (Physiol Genomics 39:131-140, 2009); (J Am Med Inform Assoc 18:354–357, 2011). A common theme spanning such reports has been the importance of understanding and optimizing people, organizational, and leadership factors in order to achieve the promise of efficient and timely research (J Am Med Inform Assoc 15:283–289, 2008). With the emergence of clinical and translational science (CTS) as a national priority in the United States, and the corresponding growth in the scale and scope of CTS research programs, the acuity of such information needs continues to increase (JAMA 289:1278–1287, 2003); (N Engl J Med 353:1621–1623, 2005); (Sci Transl Med 3:90, 2011). At the same time, systematic evaluations of optimal people, organizational, and leadership factors that influence the provision of data, information, and knowledge management technologies and methods are notably lacking. Methods In response to the preceding gap in knowledge, we have conducted both: 1) a structured survey of domain experts at Academic Health Centers (AHCs); and 2) a subsequent thematic analysis of public-domain documentation provided by those same organizations. The results of these approaches were then used to identify critical factors that may influence access to informatics expertise and resources relevant to the CTS domain. Results A total of 31 domain experts, spanning the Biomedical Informatics (BMI), Computer Science (CS), Information Science (IS), and Information Technology (IT) disciplines participated in a structured surveyprocess. At a high level, respondents identified notable differences in theaccess to BMI, CS, and IT expertise and services depending on the establishment of a

Factors Considered by Elementary Teachers When Developing and Modifying Mathematical Tasks to Support Children's Mathematical Thinking

NASA Astrophysics Data System (ADS)

Fredenberg, Michael Duane

The idea that problems and tasks play a pivotal role in a mathematics lesson has a long standing in mathematics education research. Recent calls for teaching reform appeal for training teachers to better understand how students learn mathematics and to employ students' mathematical thinking as the basis for pedagogy (CCSSM, 2010; NCTM, 2000; NRC 1999). The teaching practices of (a) developing a task for a mathematics lesson and, (b) modifying the task for students while enacting the lesson fit within the scope of supporting students' mathematical thinking. Surprisingly, an extensive search of the literature did not yield any research aimed to identify and refine the constituent parts of the aforementioned teaching practices in the manner called for by Grossman and xiii colleagues (2009). Consequently, my research addresses the two questions: (a) what factors do exemplary elementary teachers consider when developing a task for a mathematics lesson? (b) what factors do they consider when they modify a task for a student when enacting a lesson? I conducted a multiple case study involving three elementary teachers, each with extensive training in the area of Cognitively Guided Instruction (CGI), as well as several years experience teaching mathematics following the principles of CGI (Carpenter et al., 1999). I recorded video of three mathematics lessons with each participant and after each lesson I conducted a semi-structured stimulated recall interview. A subsequent follow-up clinical interview was conducted soon thereafter to further explore the teacher's thoughts (Ginsberg, 1997). In addition, my methodology included interjecting myself at select times during a lesson to ask the teacher to explain her reasoning. Qualitative analysis led to a framework that identified four categories of influencing factors and seven categories of supporting objectives for the development of a task. Subsets of these factors and objectives emerged as particularly relevant when the

Mixture Factor Analysis for Approximating a Nonnormally Distributed Continuous Latent Factor with Continuous and Dichotomous Observed Variables

ERIC Educational Resources Information Center

Wall, Melanie M.; Guo, Jia; Amemiya, Yasuo

2012-01-01

Mixture factor analysis is examined as a means of flexibly estimating nonnormally distributed continuous latent factors in the presence of both continuous and dichotomous observed variables. A simulation study compares mixture factor analysis with normal maximum likelihood (ML) latent factor modeling. Different results emerge for continuous versus…

Exploring the risk factors of suicidal ideation among the seniors in Shandong, China: A path analysis.

PubMed

Ge, Dandan; Sun, Long; Zhou, Chengchao; Qian, Yangyang; Zhang, Li; Medina, Alexis

2017-01-01

Suicide is a global public health problem that has a significant negative influence on individuals, families and the society. The objective of this study is to explore the risk factors associated with suicidal ideation among the elderly in Shandong Province, China. A total of 3313 participants (60+) of Shandong Province, China were included in this study. Suicidal ideation was assessed by using questions from the NCS (National Comorbidity Survey). Multiple logistic regression analysis was performed to examine the factors associated with suicidal ideation. Path analysis was conducted to test the direct and indirect association between factors and suicidal ideation. The prevalence of suicidal ideation among the seniors in Shandong, China was 4.2%. Depression had the strongest direct (β=0.303, p-value<0.05) and total effect (β=0.303), life satisfaction (β=-0.103, p-value<0.05; β=-0.136, p-value<0.05), economic status (β=-0.046, p-value<0.05; β=-0.040, p-value<0.05) had both direct and indirect impacts on suicidal ideation. Social support (β=-0.040, p-value<0.05) had indirect influence on suicidal ideation. Depression was a mediator between life satisfaction, economic status, social support and suicidal ideation. The data used in this study was cross-sectional, and the relationship between identified factors and suicidal ideation cannot be interpreted as cause-effect. Depression was the strongest influencing factor of suicidal ideation among the elderly, followed by life satisfaction, economic status. Active intervention measures focusing on the depression screening and treatment both in urban and rural communities should be taken to prevent suicide. Copyright © 2016 Elsevier B.V. All rights reserved.

Social Support as a Factor Inhibiting Teenage Risk-Taking: Views of Students, Parents and Professionals

ERIC Educational Resources Information Center

Abbott-Chapman, Joan; Denholm, Carey; Wyld, Colin

2008-01-01

A large-scale study conducted in Tasmania, Australia, of teenage risk-taking across 26 potentially harmful risk activities has examined a range of factors that encourage or inhibit risk-taking. Among these factors, the degree of social and professional support the teenage students say they would access for personal, study or health problems has…

Common factor analysis versus principal component analysis: choice for symptom cluster research.

PubMed

Kim, Hee-Ju

2008-03-01

The purpose of this paper is to examine differences between two factor analytical methods and their relevance for symptom cluster research: common factor analysis (CFA) versus principal component analysis (PCA). Literature was critically reviewed to elucidate the differences between CFA and PCA. A secondary analysis (N = 84) was utilized to show the actual result differences from the two methods. CFA analyzes only the reliable common variance of data, while PCA analyzes all the variance of data. An underlying hypothetical process or construct is involved in CFA but not in PCA. PCA tends to increase factor loadings especially in a study with a small number of variables and/or low estimated communality. Thus, PCA is not appropriate for examining the structure of data. If the study purpose is to explain correlations among variables and to examine the structure of the data (this is usual for most cases in symptom cluster research), CFA provides a more accurate result. If the purpose of a study is to summarize data with a smaller number of variables, PCA is the choice. PCA can also be used as an initial step in CFA because it provides information regarding the maximum number and nature of factors. In using factor analysis for symptom cluster research, several issues need to be considered, including subjectivity of solution, sample size, symptom selection, and level of measure.

Supporting and Constraining Factors in the Development of University Teaching Experienced by Teachers

ERIC Educational Resources Information Center

Jääskelä, Päivikki; Häkkinen, Päivi; Rasku-Puttonen, Helena

2017-01-01

Higher education calls for reform, but deeper knowledge about the prerequisites for teaching development and pedagogical change is missing. In this study, 51 university teachers' experiences of supportive or constraining factors in teaching development were investigated in the context of Finland's multidisciplinary network. The findings reveal…

Evaluation of Facility Management by Multivariate Statistics - Factor Analysis

NASA Astrophysics Data System (ADS)

Singovszki, Miloš; Vranayová, Zuzana

2013-06-01

Facility management is evolving, there is no exact than other sciences, although its development is fast forward. The knowledge and practical skills in facility management is not replaced, on the contrary, they complement each other. The existing low utilization of science in the field of facility management is mainly caused by the management of support activities are many variables and prevailing immediate reaction to the extraordinary situation arising from motives of those who have substantial experience and years of proven experience. Facility management is looking for a system that uses organized knowledge and will form the basis, which grows from a wide range of disciplines. Significant influence on its formation as a scientific discipline is the "structure, which follows strategy". The paper deals evaluate technology building as part of an facility management by multivariate statistic - factor analysis.

Integration of a satellite ground support system based on analysis of the satellite ground support domain

NASA Technical Reports Server (NTRS)

Pendley, R. D.; Scheidker, E. J.; Levitt, D. S.; Myers, C. R.; Werking, R. D.

1994-01-01

This analysis defines a complete set of ground support functions based on those practiced in real space flight operations during the on-orbit phase of a mission. These functions are mapped against ground support functions currently in use by NASA and DOD. Software components to provide these functions can be hosted on RISC-based work stations and integrated to provide a modular, integrated ground support system. Such modular systems can be configured to provide as much ground support functionality as desired. This approach to ground systems has been widely proposed and prototyped both by government institutions and commercial vendors. The combined set of ground support functions we describe can be used as a standard to evaluate candidate ground systems. This approach has also been used to develop a prototype of a modular, loosely-integrated ground support system, which is discussed briefly. A crucial benefit to a potential user is that all the components are flight-qualified, thus giving high confidence in their accuracy and reliability.

Integration of a satellite ground support system based on analysis of the satellite ground support domain

NASA Astrophysics Data System (ADS)

Pendley, R. D.; Scheidker, E. J.; Levitt, D. S.; Myers, C. R.; Werking, R. D.

1994-11-01

This analysis defines a complete set of ground support functions based on those practiced in real space flight operations during the on-orbit phase of a mission. These functions are mapped against ground support functions currently in use by NASA and DOD. Software components to provide these functions can be hosted on RISC-based work stations and integrated to provide a modular, integrated ground support system. Such modular systems can be configured to provide as much ground support functionality as desired. This approach to ground systems has been widely proposed and prototyped both by government institutions and commercial vendors. The combined set of ground support functions we describe can be used as a standard to evaluate candidate ground systems. This approach has also been used to develop a prototype of a modular, loosely-integrated ground support system, which is discussed briefly. A crucial benefit to a potential user is that all the components are flight-qualified, thus giving high confidence in their accuracy and reliability.

The Factors That Influence and Protect Against Power Imbalance in Covert Bullying Among Preadolescent Children at School: A Thematic Analysis.

PubMed

Nelson, Helen J; Burns, Sharyn K; Kendall, Garth E; Schonert-Reichl, Kimberly A

2017-01-01

In this article, the perceptions of preadolescent children (ages 9-11) regarding factors that influence and protect against power imbalance associated with covert aggression and bullying are explored. In aggression research, the term covert has been typically used to describe relational, indirect, and social acts of aggression that are hidden. These behaviors contrast with overt physical and verbal aggression. Children have previously conveyed their belief that covert aggression is harmful because adults do not see it even though children, themselves, are aware. We used focus groups to explore children's understanding of covert aggression and to identify children's experience and perception of adult support in relation to bullying. Thematic analysis supported the definition of covert aggression as that which is intentionally hidden from adults. Friendship, social exclusion, and secret from teacher were identified as factors that influence power imbalance, while support from friends and adult support protected against power imbalance.

Derived Basic Ability Factors: A Factor Analysis Replication Study.

ERIC Educational Resources Information Center

Lee, Mickey, M.; Lee, Lynda Newby

The purpose of this study was to replicate the study conducted by Potter, Sagraves, and McDonald to determine whether their recommended analysis could separate criterion variables into similar factors that were stable from year to year and from school to school. The replication samples consisted of all students attending Louisiana State University…

Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors.

PubMed

Zhang, Shanyong; Yang, Lili; Peng, Chuangang; Wu, Minfei

2018-02-01

The aim of the present study was to investigate the risk factors for postoperative recurrence of spinal tumors by logistic regression analysis and analysis of prognostic factors. In total, 77 male and 48 female patients with spinal tumor were selected in our hospital from January, 2010 to December, 2015 and divided into the benign (n=76) and malignant groups (n=49). All the patients underwent microsurgical resection of spinal tumors and were reviewed regularly 3 months after operation. The McCormick grading system was used to evaluate the postoperative spinal cord function. Data were subjected to statistical analysis. Of the 125 cases, 63 cases showed improvement after operation, 50 cases were stable, and deterioration was found in 12 cases. The improvement rate of patients with cervical spine tumor, which reached 56.3%, was the highest. Fifty-two cases of sensory disturbance, 34 cases of pain, 30 cases of inability to exercise, 26 cases of ataxia, and 12 cases of sphincter disorders were found after operation. Seventy-two cases (57.6%) underwent total resection, 18 cases (14.4%) received subtotal resection, 23 cases (18.4%) received partial resection, and 12 cases (9.6%) were only treated with biopsy/decompression. Postoperative recurrence was found in 57 cases (45.6%). The mean recurrence time of patients in the malignant group was 27.49±6.09 months, and the mean recurrence time of patients in the benign group was 40.62±4.34. The results were significantly different (P<0.001). Recurrence was found in 18 cases of the benign group and 39 cases of the malignant group, and results were significantly different (P<0.001). Tumor recurrence was shorter in patients with a higher McCormick grade (P<0.001). Recurrence was found in 13 patients with resection and all the patients with partial resection or biopsy/decompression. The results were significantly different (P<0.001). Logistic regression analysis of total resection-related factors showed that total resection

Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors

PubMed Central

Zhang, Shanyong; Yang, Lili; Peng, Chuangang; Wu, Minfei

2018-01-01

The aim of the present study was to investigate the risk factors for postoperative recurrence of spinal tumors by logistic regression analysis and analysis of prognostic factors. In total, 77 male and 48 female patients with spinal tumor were selected in our hospital from January, 2010 to December, 2015 and divided into the benign (n=76) and malignant groups (n=49). All the patients underwent microsurgical resection of spinal tumors and were reviewed regularly 3 months after operation. The McCormick grading system was used to evaluate the postoperative spinal cord function. Data were subjected to statistical analysis. Of the 125 cases, 63 cases showed improvement after operation, 50 cases were stable, and deterioration was found in 12 cases. The improvement rate of patients with cervical spine tumor, which reached 56.3%, was the highest. Fifty-two cases of sensory disturbance, 34 cases of pain, 30 cases of inability to exercise, 26 cases of ataxia, and 12 cases of sphincter disorders were found after operation. Seventy-two cases (57.6%) underwent total resection, 18 cases (14.4%) received subtotal resection, 23 cases (18.4%) received partial resection, and 12 cases (9.6%) were only treated with biopsy/decompression. Postoperative recurrence was found in 57 cases (45.6%). The mean recurrence time of patients in the malignant group was 27.49±6.09 months, and the mean recurrence time of patients in the benign group was 40.62±4.34. The results were significantly different (P<0.001). Recurrence was found in 18 cases of the benign group and 39 cases of the malignant group, and results were significantly different (P<0.001). Tumor recurrence was shorter in patients with a higher McCormick grade (P<0.001). Recurrence was found in 13 patients with resection and all the patients with partial resection or biopsy/decompression. The results were significantly different (P<0.001). Logistic regression analysis of total resection-related factors showed that total resection

On the Likelihood Ratio Test for the Number of Factors in Exploratory Factor Analysis

ERIC Educational Resources Information Center

Hayashi, Kentaro; Bentler, Peter M.; Yuan, Ke-Hai

2007-01-01

In the exploratory factor analysis, when the number of factors exceeds the true number of factors, the likelihood ratio test statistic no longer follows the chi-square distribution due to a problem of rank deficiency and nonidentifiability of model parameters. As a result, decisions regarding the number of factors may be incorrect. Several…

A Qualitative Study of a Maintenance Support Program for Women at Risk of Homelessness: Part 2: Situational Factors.

PubMed

McMaster, Rose; Lopez, Violeta; Kornhaber, Rachel; Cleary, Michelle

2017-06-01

People who are homeless tend to have a number of complex needs. A housing maintenance support program (MSP) for women from the perspectives of clients, case managers and health professionals within the program was explored in this qualitative descriptive study. Interviews were conducted, and data were analysed using thematic analysis. The overarching theme that emerged from the data was "A life-changing event: I have the power to change." This theme was supported by three sub-themes: personal, situational and societal dimensions. In this article, the sub-theme - situational factors, is presented and refers to poverty, resources and services, as well as social support systems. These aspects all impinged on the client's ability to face life changes with optimism towards a better future. Their experiences of disconnection with the community changed for the clients after being part of the MSP. The MSP enabled the clients to feel part of society again, and empowered them to participate in the world around them. Key aspects of inclusion in the world are relationships based on acceptance, connecting with others, being involved and creating a sense of home/community.

A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.

ERIC Educational Resources Information Center

Mulaik, Stanley A.

1987-01-01

Exploratory factor analysis derives its key ideas from many sources, including Aristotle, Francis Bacon, Descartes, Pearson and Yule, and Kant. The conclusions of exploratory factor analysis are never complete without subsequent confirmatory factor analysis. (Author/GDC)

Depression and Social Context: Primary Supporter Relationship Factors Associated with Depressive Symptoms among a Disadvantaged Population with HIV/AIDS

ERIC Educational Resources Information Center

Knowlton, Amy R.; Curry, Aaron; Hua, Wei; Wissow, Lawrence

2009-01-01

Social support is associated with better health outcomes among chronically ill individuals, yet support receipt can be stressful. The study examined supporter relationship factors, among n = 156 main-supporter-HIV+support-recipient dyads, associated with recipient's depression (CES-D greater than or equal to 16). Results indicated that support…

Factors that influence delivery of tobacco cessation support in general dental practice: a narrative review.

PubMed

Lala, Rizwana; Csikar, Julia; Douglas, Gail; Muarry, Jenni

2017-12-01

To review the literature reporting factors that are associated with the delivery of lifestyle support in general dental practice. A systematic review of the quantitative observational studies describing activities to promote the general health of adults in primary care general dental practice. Behavior change included tobacco cessation, alcohol reduction, diet, weight management, and physical activity. Tooth brushing and oral hygiene behaviors were excluded as the focus of this review was on the common risk factors that affect general health as well as oral health. Six cross sectional studies met the inclusion criteria. Five studies only reported activities to support tobacco cessation. As well as tobacco cessation one study also reported activities related to alcohol usage, physical activity, and Body Mass Index. Perceptions of time availability consistently correlated with activities and beliefs about tobacco cessation, alongside the smoking status of the dental professional. Dentists who perceive having more available time were more likely to discuss smoking with patients, prescribe smoking cessation treatments and direct patients toward (signpost to) lifestyle support services. Dental professionals who smoke were less likely to give smoking cessation advice and counselling than nonsmokers. Finally, the data showed that professional support may be relevant. Professionals who work in solo practices or those who felt a lack of support from the wider professional team (peer support) were more likely to report barriers to delivering lifestyle support. Organizational changes in dental practices to encourage more team working and professional time for lifestyle support may influence delivery. Dental professionals who are smokers may require training to develop their beliefs about the effectiveness of smoking cessation interventions. © 2016 American Association of Public Health Dentistry.

Collection of human reaction times and supporting health related data for analysis of cognitive and physical performance.

PubMed

Brůha, Petr; Mouček, Roman; Vacek, Vítězslav; Šnejdar, Pavel; Černá, Kateřina; Řehoř, Petr

2018-04-01

Smoking, excessive drinking, overeating and physical inactivity are well-established risk factors decreasing human physical performance. Moreover, epidemiological work has identified modifiable lifestyle factors, such as poor diet and physical and cognitive inactivity that are associated with the risk of reduced cognitive performance. Definition, collection and annotation of human reaction times and suitable health related data and metadata provides researchers with a necessary source for further analysis of human physical and cognitive performance. The collection of human reaction times and supporting health related data was obtained from two groups comprising together 349 people of all ages - the visitors of the Days of Science and Technology 2016 held on the Pilsen central square and members of the Mensa Czech Republic visiting the neuroinformatics lab at the University of West Bohemia. Each provided dataset contains a complete or partial set of data obtained from the following measurements: hands and legs reaction times, color vision, spirometry, electrocardiography, blood pressure, blood glucose, body proportions and flexibility. It also provides a sufficient set of metadata (age, gender and summary of the participant's current life style and health) to allow researchers to perform further analysis. This article has two main aims. The first aim is to provide a well annotated collection of human reaction times and health related data that is suitable for further analysis of lifestyle and human cognitive and physical performance. This data collection is complemented with a preliminarily statistical evaluation. The second aim is to present a procedure of efficient acquisition of human reaction times and supporting health related data in non-lab and lab conditions.

Social support in cyberspace: a content analysis of communication within a Huntington's disease online support group.

PubMed

Coulson, Neil S; Buchanan, Heather; Aubeeluck, Aimee

2007-10-01

Huntington's disease (HD) is an inherited disorder, characterized by a progressive degeneration of the brain. Due to the nature of the symptoms, the genetic element of the disease, and the fact that there is no cure, HD patients and those in their support network often experience considerable stress and anxiety. With an expansion in Internet access, individuals affected by HD have new opportunities for information retrieval and social support. The aim of this study is to examine the provision of social support in messages posted to a HD online support group bulletin board. In total, 1313 messages were content analyzed using a modified version of the social support behavior code developed by [Cutrona CE, Suhr J. Controllability of stressful events and satisfaction with spouse support behaviors. Commun Res 1992;19:154-74]. The analysis indicates that group members most frequently offered informational (56.2%) and emotional support (51.9%) followed by network support (48.4%) with esteem support (21.7%), and tangible assistance (9.8%) least frequently offered. This study suggests that exchanging informational and emotional support represents a key function of this online group. Online support groups provide a unique opportunity for health professionals to learn about the experiences and views of individuals affected by HD and explore where and why gaps may exist between evidence-based medicine and consumer behavior and expectations.

Hand function evaluation: a factor analysis study.

PubMed

Jarus, T; Poremba, R

1993-05-01

The purpose of this study was to investigate hand function evaluations. Factor analysis with varimax rotation was used to assess the fundamental characteristics of the items included in the Jebsen Hand Function Test and the Smith Hand Function Evaluation. The study sample consisted of 144 subjects without disabilities and 22 subjects with Colles fracture. Results suggest a four factor solution: Factor I--pinch movement; Factor II--grasp; Factor III--target accuracy; and Factor IV--activities of daily living. These categories differentiated the subjects without Colles fracture from the subjects with Colles fracture. A hand function evaluation consisting of these four factors would be useful. Such an evaluation that can be used for current clinical purposes is provided.

Do Maternal Caregiver Perceptions of Childhood Obesity Risk Factors and Obesity Complications Predict Support for Prevention Initiatives Among African Americans?

PubMed

Alexander, Dayna S; Alfonso, Moya L; Cao, Chunhua; Wright, Alesha R

2017-07-01

Objectives African American maternal caregiver support for prevention of childhood obesity may be a factor in implementing, monitoring, and sustaining children's positive health behaviors. However, little is known about how perceptions of childhood obesity risk factors and health complications influence caregivers' support of childhood obesity prevention strategies. The objective of this study was to determine if childhood obesity risk factors and health complications were associated with maternal caregivers' support for prevention initiatives. Methods A convenience sample of maternal caregivers (N = 129, ages 22-65 years) completed the childhood obesity perceptions (COP) survey. A linear regression was conducted to determine whether perceptions about childhood obesity risk factors and subsequent health complications influenced caregivers' support for prevention strategies. Results Caregivers' perceptions of childhood obesity risk factors were moderate (M = 3.4; SD = 0.64), as were their perceptions of obesity-related health complications (M = 3.3; SD = 0.75); however, they perceived a high level of support for prevention strategies (M = 4.2; SD = 0.74). In the regression model, only health complications were significantly associated with caregiver support (β = 0.348; p < 0.004). Conclusions Childhood obesity prevention efforts should emphasize health complications by providing education and strategies that promote self-efficacy and outcome expectations among maternal caregivers.

Individualized Positive Behavior Support in School Settings: A Meta-Analysis

ERIC Educational Resources Information Center

Goh, Ailsa E.; Bambara, Linda M.

2012-01-01

This meta-analysis examined school-based intervention research based on functional behavioral assessment (FBA) to determine the effectiveness of key individualized positive behavior support (IPBS) practices in school settings. In all, 83 studies representing 145 participants were included in the meta-analysis. Intervention, maintenance, and…

Cost analysis of life support systems

NASA Technical Reports Server (NTRS)

Yakut, M. M.

1973-01-01

A methodology was developed to predict realistic relative cost of Life Support Systems (LSS) and to define areas of major cost impacts in the development cycle. Emphasis was given to tailoring the cost data for usage by program planners and designers. The equipment classifications used based on the degree of refinement were as follows: (1) Working model; (2) low-fidelity prototype; (3) high-fidelity prototype; and (4) flight-qualified system. The major advanced LSS evaluated included the following: (1) Carbon dioxide removal; (2) oxygen recovery systems; (3) water recovery systems; (4) atmosphere analysis system.

Risk factors associated with default from multi- and extensively drug-resistant tuberculosis treatment, Uzbekistan: a retrospective cohort analysis.

PubMed

Lalor, Maeve K; Greig, Jane; Allamuratova, Sholpan; Althomsons, Sandy; Tigay, Zinaida; Khaemraev, Atadjan; Braker, Kai; Telnov, Oleksander; du Cros, Philipp

2013-01-01

The Médecins Sans Frontières project of Uzbekistan has provided multidrug-resistant tuberculosis treatment in the Karakalpakstan region since 2003. Rates of default from treatment have been high, despite psychosocial support, increasing particularly since programme scale-up in 2007. We aimed to determine factors associated with default in multi- and extensively drug-resistant tuberculosis patients who started treatment between 2003 and 2008 and thus had finished approximately 2 years of treatment by the end of 2010. A retrospective cohort analysis of multi- and extensively drug-resistant tuberculosis patients enrolled in treatment between 2003 and 2008 compared baseline demographic characteristics and possible risk factors for default. Default was defined as missing ≥60 consecutive days of treatment (all drugs). Data were routinely collected during treatment and entered in a database. Potential risk factors for default were assessed in univariate analysis using chi-square test and in multivariate analysis with logistic regression. 20% (142/710) of patients defaulted after a median of 6 months treatment (IQR 2.6-9.9). Factors associated with default included severity of resistance patterns (pre-extensively drug-resistant/extensively drug-resistant tuberculosis adjusted odds ratio 0.52, 95%CI: 0.31-0.86), previous default (2.38, 1.09-5.24) and age >45 years (1.77, 1.10-2.87). The default rate was 14% (42/294) for patients enrolled 2003-2006 and 24% (100/416) for 2007-2008 enrolments (p = 0.001). Default from treatment was high and increased with programme scale-up. It is essential to ensure scale-up of treatment is accompanied with scale-up of staff and patient support. A successful first course of tuberculosis treatment is important; patients who had previously defaulted were at increased risk of default and death. The protective effect of severe resistance profiles suggests that understanding disease severity or fear may motivate against default. Targeted

Job stress factors, stress response, and social support in association with insomnia of Japanese male workers.

PubMed

Nishitani, Naoko; Sakakibara, Hisataka

2010-01-01

The aim of the present study was to examine the relation of insomnia with job stress factors, stress response, and social support. A self-completed questionnaire survey was conducted in 212 male Japanese workers at a synthetic fiber plant. With regard to insomnia, subjects were asked the first 5 of the 8 questions on the Athens Insomnia Scale (AIS). Job stress factors, stress response and social support were assessed using the Job Stress Questionnaire. Multiple regression analyses showed that psychological job stress factors of poor appropriateness of work and high qualitative workload were associated with insomnia. The psychological stress response of depression and physical stress responses were also related with insomnia. Depression was also related to appropriateness of work. The present results showed that insomnia was closely related with the psychological job stress factor of appropriateness of work and the psychological response of depression. These mutual relationships between insomnia and poor mental health need be investigated further.

Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support.

PubMed

Xia, Eryu; Liu, Haifeng; Li, Jing; Mei, Jing; Li, Xuejun; Xu, Enliang; Li, Xiang; Hu, Gang; Xie, Guotong; Xu, Meilin

2017-01-01

Clinical decision support systems are information technology systems that assist clinical decision-making tasks, which have been shown to enhance clinical performance. Cluster analysis, which groups similar patients together, aims to separate patient cases into phenotypically heterogenous groups and defining therapeutically homogeneous patient subclasses. Useful as it is, the application of cluster analysis in clinical decision support systems is less reported. Here, we describe the usage of cluster analysis in clinical decision support systems, by first dividing patient cases into similar groups and then providing diagnosis or treatment suggestions based on the group profiles. This integration provides data for clinical decisions and compiles a wide range of clinical practices to inform the performance of individual clinicians. We also include an example usage of the system under the scenario of blood lipid management in type 2 diabetes. These efforts represent a step toward promoting patient-centered care and enabling precision medicine.

Dyadic confirmatory factor analysis of the inflammatory bowel disease family responsibility questionnaire.

PubMed

Greenley, Rachel Neff; Reed-Knight, Bonney; Blount, Ronald L; Wilson, Helen W

2013-09-01

Evaluate the factor structure of youth and maternal involvement ratings on the Inflammatory Bowel Disease Family Responsibility Questionnaire, a measure of family allocation of condition management responsibilities in pediatric inflammatory bowel disease. Participants included 251 youth aged 11-18 years with inflammatory bowel disease and their mothers. Item-level descriptive analyses, subscale internal consistency estimates, and confirmatory factor analyses of youth and maternal involvement were conducted using a dyadic data-analytic approach. Results supported the validity of 4 conceptually derived subscales including general health maintenance, social aspects, condition management tasks, and nutrition domains. Additionally, results indicated adequate support for the factor structure of a 21-item youth involvement measure and strong support for a 16-item maternal involvement measure. Additional empirical support for the validity of the Inflammatory Bowel Disease Family Responsibility Questionnaire was provided. Future research to replicate current findings and to examine the measure's clinical utility is warranted.

Strategic Analysis of Family Support in EHDI Systems

ERIC Educational Resources Information Center

Bradham, Tamala S.; Houston, K. Todd; Guignard, Gayla Hutsell; Hoffman, Jeff

2011-01-01

State coordinators of early hearing detection and intervention (EHDI) programs completed a strengths, weaknesses, opportunities, and threats, or SWOT, analysis that examined 12 areas within state EHDI programs. For the family support area, 47 EHDI coordinators listed 255 items, and themes were identified within each category. A threats,…

A Distributed Simulation Facility to Support Human Factors Research in Advanced Air Transportation Technology

NASA Technical Reports Server (NTRS)

Amonlirdviman, Keith; Farley, Todd C.; Hansman, R. John, Jr.; Ladik, John F.; Sherer, Dana Z.

1998-01-01

A distributed real-time simulation of the civil air traffic environment developed to support human factors research in advanced air transportation technology is presented. The distributed environment is based on a custom simulation architecture designed for simplicity and flexibility in human experiments. Standard Internet protocols are used to create the distributed environment, linking all advanced cockpit simulator, all Air Traffic Control simulator, and a pseudo-aircraft control and simulation management station. The pseudo-aircraft control station also functions as a scenario design tool for coordinating human factors experiments. This station incorporates a pseudo-pilot interface designed to reduce workload for human operators piloting multiple aircraft simultaneously in real time. The application of this distributed simulation facility to support a study of the effect of shared information (via air-ground datalink) on pilot/controller shared situation awareness and re-route negotiation is also presented.

Risk Interfaces to Support Integrated Systems Analysis and Development

NASA Technical Reports Server (NTRS)

Mindock, Jennifer; Lumpkins, Sarah; Shelhamer, Mark; Anton, Wilma; Havenhill, Maria

2016-01-01

Objectives for systems analysis capability: Develop integrated understanding of how a complex human physiological-socio-technical mission system behaves in spaceflight. Why? Support development of integrated solutions that prevent unwanted outcomes (Implementable approaches to minimize mission resources(mass, power, crew time, etc.)); Support development of tools for autonomy (need for exploration) (Assess and maintain resilience -individuals, teams, integrated system). Output of this exercise: -Representation of interfaces based on Human System Risk Board (HSRB) Risk Summary information and simple status based on Human Research Roadmap; Consolidated HSRB information applied to support communication; Point-of-Departure for HRP Element planning; Ability to track and communicate status of collaborations. 4

Support surfaces for pressure ulcer prevention: A network meta-analysis

PubMed Central

Dumville, Jo C.; Cullum, Nicky

2018-01-01

Background Pressure ulcers are a prevalent and global issue and support surfaces are widely used for preventing ulceration. However, the diversity of available support surfaces and the lack of direct comparisons in RCTs make decision-making difficult. Objectives To determine, using network meta-analysis, the relative effects of different support surfaces in reducing pressure ulcer incidence and comfort and to rank these support surfaces in order of their effectiveness. Methods We conducted a systematic review, using a literature search up to November 2016, to identify randomised trials comparing support surfaces for pressure ulcer prevention. Two reviewers independently performed study selection, risk of bias assessment and data extraction. We grouped the support surfaces according to their characteristics and formed evidence networks using these groups. We used network meta-analysis to estimate the relative effects and effectiveness ranking of the groups for the outcomes of pressure ulcer incidence and participant comfort. GRADE was used to assess the certainty of evidence. Main results We included 65 studies in the review. The network for assessing pressure ulcer incidence comprised evidence of low or very low certainty for most network contrasts. There was moderate-certainty evidence that powered active air surfaces and powered hybrid air surfaces probably reduce pressure ulcer incidence compared with standard hospital surfaces (risk ratios (RR) 0.42, 95% confidence intervals (CI) 0.29 to 0.63; 0.22, 0.07 to 0.66, respectively). The network for comfort suggested that powered active air-surfaces are probably slightly less comfortable than standard hospital mattresses (RR 0.80, 95% CI 0.69 to 0.94; moderate-certainty evidence). Conclusions This is the first network meta-analysis of the effects of support surfaces for pressure ulcer prevention. Powered active air-surfaces probably reduce pressure ulcer incidence, but are probably less comfortable than standard

Support surfaces for pressure ulcer prevention: A network meta-analysis.

PubMed

Shi, Chunhu; Dumville, Jo C; Cullum, Nicky

2018-01-01

Pressure ulcers are a prevalent and global issue and support surfaces are widely used for preventing ulceration. However, the diversity of available support surfaces and the lack of direct comparisons in RCTs make decision-making difficult. To determine, using network meta-analysis, the relative effects of different support surfaces in reducing pressure ulcer incidence and comfort and to rank these support surfaces in order of their effectiveness. We conducted a systematic review, using a literature search up to November 2016, to identify randomised trials comparing support surfaces for pressure ulcer prevention. Two reviewers independently performed study selection, risk of bias assessment and data extraction. We grouped the support surfaces according to their characteristics and formed evidence networks using these groups. We used network meta-analysis to estimate the relative effects and effectiveness ranking of the groups for the outcomes of pressure ulcer incidence and participant comfort. GRADE was used to assess the certainty of evidence. We included 65 studies in the review. The network for assessing pressure ulcer incidence comprised evidence of low or very low certainty for most network contrasts. There was moderate-certainty evidence that powered active air surfaces and powered hybrid air surfaces probably reduce pressure ulcer incidence compared with standard hospital surfaces (risk ratios (RR) 0.42, 95% confidence intervals (CI) 0.29 to 0.63; 0.22, 0.07 to 0.66, respectively). The network for comfort suggested that powered active air-surfaces are probably slightly less comfortable than standard hospital mattresses (RR 0.80, 95% CI 0.69 to 0.94; moderate-certainty evidence). This is the first network meta-analysis of the effects of support surfaces for pressure ulcer prevention. Powered active air-surfaces probably reduce pressure ulcer incidence, but are probably less comfortable than standard hospital surfaces. Most prevention evidence was of low or

Informing the design of clinical decision support services for evaluation of children with minor blunt head trauma in the emergency department: a sociotechnical analysis.

PubMed

Sheehan, Barbara; Nigrovic, Lise E; Dayan, Peter S; Kuppermann, Nathan; Ballard, Dustin W; Alessandrini, Evaline; Bajaj, Lalit; Goldberg, Howard; Hoffman, Jeffrey; Offerman, Steven R; Mark, Dustin G; Swietlik, Marguerite; Tham, Eric; Tzimenatos, Leah; Vinson, David R; Jones, Grant S; Bakken, Suzanne

2013-10-01

Integration of clinical decision support services (CDSS) into electronic health records (EHRs) may be integral to widespread dissemination and use of clinical prediction rules in the emergency department (ED). However, the best way to design such services to maximize their usefulness in such a complex setting is poorly understood. We conducted a multi-site cross-sectional qualitative study whose aim was to describe the sociotechnical environment in the ED to inform the design of a CDSS intervention to implement the Pediatric Emergency Care Applied Research Network (PECARN) clinical prediction rules for children with minor blunt head trauma. Informed by a sociotechnical model consisting of eight dimensions, we conducted focus groups, individual interviews and workflow observations in 11 EDs, of which 5 were located in academic medical centers and 6 were in community hospitals. A total of 126 ED clinicians, information technology specialists, and administrators participated. We clustered data into 19 categories of sociotechnical factors through a process of thematic analysis and subsequently organized the categories into a sociotechnical matrix consisting of three high-level sociotechnical dimensions (workflow and communication, organizational factors, human factors) and three themes (interdisciplinary assessment processes, clinical practices related to prediction rules, EHR as a decision support tool). Design challenges that emerged from the analysis included the need to use structured data fields to support data capture and re-use while maintaining efficient care processes, supporting interdisciplinary communication, and facilitating family-clinician interaction for decision-making. Copyright © 2013 Elsevier Inc. All rights reserved.

Small business support of youth physical activity opportunities.

PubMed

Suminski, Richard R; Ding, Ding

2012-01-01

Describe small business support for youth physical activity opportunities (YPAO) and identify factors associated with this support. Cross-sectional analysis of quantitative data relating business characteristics and support for YPAO. Eight demographically heterogeneous, urban neighborhoods in a Midwest metropolitan area. Adult small business owners (n = 90; 65% response rate; mean age 48.4 years; 73.3% male; 45.2% minority). Neighborhood demographics from the 2000 U.S. Census and self-reported business and owner characteristics. Multivariate analysis of variance was used to contrast business and owner characteristics between businesses that did and did not support YPAO. Businesses supporting YPAO had larger annual operating (F = 7.6; p = .018) and advertising budgets (F = 8.5; p = .009) and had younger owners (F = 6.1; p = .034), with sports backgrounds (χ(2) = 5.6; p = .018) and who felt businesses should support YPAO (χ(2) = 3.8; p = .048). Of the 46 businesses not supporting YPAO, 82.6% felt small businesses should support YPAO. The major reasons for nonsupport were difficulty identifying YPAO to support and not being asked for support. Business (e.g., budgets) and business owner characteristics (e.g., age), owner connectedness with YPAO, and the approach used for garnering support (active solicitation, clearly defined support mechanism) were associated with supporting YPAO. Additional business (e.g., annual revenues), owner (e.g., perceptions of YPAO), and environmental (e.g., crime rate, land use) factors should be examined as potential correlates.

Analysis of significant factors for dengue fever incidence prediction.

PubMed

Siriyasatien, Padet; Phumee, Atchara; Ongruk, Phatsavee; Jampachaisri, Katechan; Kesorn, Kraisak

2016-04-16

Many popular dengue forecasting techniques have been used by several researchers to extrapolate dengue incidence rates, including the K-H model, support vector machines (SVM), and artificial neural networks (ANN). The time series analysis methodology, particularly ARIMA and SARIMA, has been increasingly applied to the field of epidemiological research for dengue fever, dengue hemorrhagic fever, and other infectious diseases. The main drawback of these methods is that they do not consider other variables that are associated with the dependent variable. Additionally, new factors correlated to the disease are needed to enhance the prediction accuracy of the model when it is applied to areas of similar climates, where weather factors such as temperature, total rainfall, and humidity are not substantially different. Such drawbacks may consequently lower the predictive power for the outbreak. The predictive power of the forecasting model-assessed by Akaike's information criterion (AIC), Bayesian information criterion (BIC), and the mean absolute percentage error (MAPE)-is improved by including the new parameters for dengue outbreak prediction. This study's selected model outperforms all three other competing models with the lowest AIC, the lowest BIC, and a small MAPE value. The exclusive use of climate factors from similar locations decreases a model's prediction power. The multivariate Poisson regression, however, effectively forecasts even when climate variables are slightly different. Female mosquitoes and seasons were strongly correlated with dengue cases. Therefore, the dengue incidence trends provided by this model will assist the optimization of dengue prevention. The present work demonstrates the important roles of female mosquito infection rates from the previous season and climate factors (represented as seasons) in dengue outbreaks. Incorporating these two factors in the model significantly improves the predictive power of dengue hemorrhagic fever forecasting

Meta-analysis of the predictive factors of postpartum fatigue.

PubMed

Badr, Hanan A; Zauszniewski, Jaclene A

2017-08-01

Nearly 64% of new mothers are affected by fatigue during the postpartum period, making it the most common problem that a woman faces as she adapts to motherhood. Postpartum fatigue can lead to serious negative effects on the mother's health and the newborn's development and interfere with mother-infant interaction. The aim of this meta-analysis was to identify predictive factors of postpartum fatigue and to document the magnitude of their effects using effect sizes. We used two search engines, PubMed and Google Scholar, to identify studies that met three inclusion criteria: (a) the article was written in English, (b) the article studied the predictive factors of postpartum fatigue, and (c) the article included information about the validity and reliability of the instruments used in the research. Nine articles met these inclusion criteria. The direction and strength of correlation coefficients between predictive factors and postpartum fatigue were examined across the studies to determine their effect sizes. Measurement of predictor variables occurred from 3days to 6months postpartum. Correlations reported between predictive factors and postpartum fatigue were as follows: small effect size (r range =0.10 to 0.29) for education level, age, postpartum hemorrhage, infection, and child care difficulties; medium effect size (r range =0.30 to 0.49) for physiological illness, low ferritin level, low hemoglobin level, sleeping problems, stress and anxiety, and breastfeeding problems; and large effect size (r range =0.50+) for depression. Postpartum fatigue is a common condition that can lead to serious health problems for a new mother and her newborn. Therefore, increased knowledge concerning factors that influence the onset of postpartum fatigue is needed for early identification of new mothers who may be at risk. Appropriate treatments, interventions, information, and support can then be initiated to prevent or minimize the postpartum fatigue. Copyright © 2017 Elsevier

Success Factors of European Syndromic Surveillance Systems: A Worked Example of Applying Qualitative Comparative Analysis.

PubMed

Ziemann, Alexandra; Fouillet, Anne; Brand, Helmut; Krafft, Thomas

2016-01-01

Syndromic surveillance aims at augmenting traditional public health surveillance with timely information. To gain a head start, it mainly analyses existing data such as from web searches or patient records. Despite the setup of many syndromic surveillance systems, there is still much doubt about the benefit of the approach. There are diverse interactions between performance indicators such as timeliness and various system characteristics. This makes the performance assessment of syndromic surveillance systems a complex endeavour. We assessed if the comparison of several syndromic surveillance systems through Qualitative Comparative Analysis helps to evaluate performance and identify key success factors. We compiled case-based, mixed data on performance and characteristics of 19 syndromic surveillance systems in Europe from scientific and grey literature and from site visits. We identified success factors by applying crisp-set Qualitative Comparative Analysis. We focused on two main areas of syndromic surveillance application: seasonal influenza surveillance and situational awareness during different types of potentially health threatening events. We found that syndromic surveillance systems might detect the onset or peak of seasonal influenza earlier if they analyse non-clinical data sources. Timely situational awareness during different types of events is supported by an automated syndromic surveillance system capable of analysing multiple syndromes. To our surprise, the analysis of multiple data sources was no key success factor for situational awareness. We suggest to consider these key success factors when designing or further developing syndromic surveillance systems. Qualitative Comparative Analysis helped interpreting complex, mixed data on small-N cases and resulted in concrete and practically relevant findings.

Bridging Human Reliability Analysis and Psychology, Part 2: A Cognitive Framework to Support HRA

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

April M. Whaley; Stacey M. L. Hendrickson; Ronald L. Boring

This is the second of two papers that discuss the literature review conducted as part of the U.S. Nuclear Regulatory Commission (NRC) effort to develop a hybrid human reliability analysis (HRA) method in response to Staff Requirements Memorandum (SRM) SRM-M061020. This review was conducted with the goal of strengthening the technical basis within psychology, cognitive science and human factors for the hybrid HRA method being proposed. An overview of the literature review approach and high-level structure is provided in the first paper, whereas this paper presents the results of the review. The psychological literature review encompassed research spanning the entiretymore » of human cognition and performance, and consequently produced an extensive list of psychological processes, mechanisms, and factors that contribute to human performance. To make sense of this large amount of information, the results of the literature review were organized into a cognitive framework that identifies causes of failure of macrocognition in humans, and connects those proximate causes to psychological mechanisms and performance influencing factors (PIFs) that can lead to the failure. This cognitive framework can serve as a tool to inform HRA. Beyond this, however, the cognitive framework has the potential to also support addressing human performance issues identified in Human Factors applications.« less

Multivariate analysis of prognostic factors in synovial sarcoma.

PubMed

Koh, Kyoung Hwan; Cho, Eun Yoon; Kim, Dong Wook; Seo, Sung Wook

2009-11-01

Many studies have described the diversity of synovial sarcoma in terms of its biological characteristics and clinical features. Moreover, much effort has been expended on the identification of prognostic factors because of unpredictable behaviors of synovial sarcomas. However, with the exception of tumor size, published results have been inconsistent. We attempted to identify independent risk factors using survival analysis. Forty-one consecutive patients with synovial sarcoma were prospectively followed from January 1997 to March 2008. Overall and progression-free survival for age, sex, tumor size, tumor location, metastasis at presentation, histologic subtype, chemotherapy, radiation therapy, and resection margin were analyzed, and standard multivariate Cox proportional hazard regression analysis was used to evaluate potential prognostic factors. Tumor size (>5 cm), nonlimb-based tumors, metastasis at presentation, and a monophasic subtype were associated with poorer overall survival. Multivariate analysis showed metastasis at presentation and monophasic tumor subtype affected overall survival. For the progression-free survival, monophasic subtype was found to be only 1 prognostic factor. The study confirmed that histologic subtype is the single most important independent prognostic factors of synovial sarcoma regardless of tumor stage.

Environmental control and life support system: Analysis of STS-1

NASA Technical Reports Server (NTRS)

Steines, G.

1980-01-01

The capability of the orbiter environmental control and life support system (ECLSS) to support vehicle cooling requirements in the event of cabin pressure reduction to 9 psia was evaluated, using the Orbiter versions of the shuttle environmental consumbles usage requirement evaluation (SECURE) program, and using heat load input data developed by the spacecraft electrical power simulator (SEPS) program. The SECURE model used in the analysis, the timeline and ECLSS configuration used in formulating the analysis, and the results of the analysis are presented. The conclusion which may be drawn drom these results. is summarized. There are no significant thermal problems with the proposed mission. There are, however, several procedures which could be optimized for better performance: setting the cabin HX air bypass and the interchanger water bypass to the zero flow position is of questionable efficacy; the cabin air pressure monitoring procedure should be re-evaluated; and the degree of equipment power down specified for this analysis and no problems were noted.

School-related social support and subjective well-being in school among adolescents: The role of self-system factors.

PubMed

Tian, Lili; Zhao, Jie; Huebner, E Scott

2015-12-01

This 6-week longitudinal study aimed to examine a moderated mediation model that may explain the link between school-related social support (i.e., teacher support and classmate support) and optimal subjective well-being in school among adolescents (n = 1316). Analyses confirmed the hypothesized model that scholastic competence partially mediated the relations between school-related social support and subjective well-being in school, and social acceptance moderated the mediation process in the school-related social support--> subjective well-being in school path and in the scholastic competence--> subjective well-being in school path. The findings suggested that both social contextual factors (e.g., school-related social support) and self-system factors (e.g., scholastic competence and social acceptance) are crucial for adolescents' optimal subjective well-being in school. Limitations and practical applications of the study were discussed. Copyright © 2015 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Authoritarianism Revisited: Evidence for an Aggression Factor.

ERIC Educational Resources Information Center

Raden, David

1981-01-01

Performed a principal components factor analysis on scores of 245 undergraduates to a short version of the F Scale and measures of prejudice, attitude toward welfare, toleration of political deviance, punitiveness toward criminals, and support of the Vietnam War. Analysis produced two factors: authoritarian aggression and attitude toward welfare.…

Measuring nursing support during childbirth.

PubMed

Gale, J; Fothergill-Bourbonnais, F; Chamberlain, M

2001-01-01

To examine the amount of support being provided by nurses to women during childbirth and factors that influence the provision of support. Exploratory, descriptive. Work sampling method was used to determine the percentage of time nurses spend in supportive care activities. Twelve nurses were observed over six nonconsecutive day shifts on a birthing unit of a Canadian teaching hospital in Quebec. A total of 404 observations were made. Nurses were also interviewed to determine their perceptions of what constitutes supportive nursing care and the factors that facilitate or inhibit the provision of this care. Nurses spent only 12.4% of their total time providing supportive care to laboring women. Interviews with nurses suggested that perceptions of the components of supportive care were comparable to this study's operational definition of support, namely: physical, emotional, and instructional/informational support and advocacy. Barriers to providing support identified by nurses included lack of time and insufficient staff. However, further content analysis of the interview data revealed that healthcare providers had a pervasive sense of control over laboring women and their partners. Although nursing support has been identified as an important aspect of nursing care in childbirth, this study demonstrated an incongruity between what nurses perceived as being supportive care and the amount of support that was actually provided. Barriers to the provision of supportive care in the practice setting as well as suggestions for its enhancement are discussed.

Development and psychometric testing of the Supportive Supervisory Scale.

PubMed

McGilton, Katherine S

2010-06-01

To describe the development and psychometric testing of the Supportive Supervisory Scale (SSS). The development of the items of the scale was based on Winnicott's relationship theory and on focus groups with 26 healthcare aides (HCAs) and 30 supervisors from six long-term care (LTC) facilities in Ontario, Canada. Content validity of the 15-item instrument was established by a panel of experts. Based on a secondary analysis of data collected from 222 HCAs in 10 LTC facilities in Ontario, Canada, the SSS was subjected to principal components analysis with oblique rotation. A two-factor solution was accepted, which is consistent with the theoretical conceptualization of the instrument. Factor I was labeled Respects Uniqueness and Factor II was labeled Being Reliable. Internal consistency of Factor I was .95, and that of Factor II was .91. Discriminant validity was also established. The focus groups revealed that "being available to staff" while "recognizing the HCA as an individual, and taking a moment to get to know them" was essential to feeling supported by their supervisor. The SSS is a reliable and valid measure of supervisory support of supervisors working in LTC facilities. At the core of supportive supervision is the supervisor's ability to develop and maintain positive relationships with each HCA. It is through respecting the uniqueness of each HCA and being reliable that supervisor-HCA relationships can flourish. Supportive leadership in LTC settings is a major contributor to HCAs' job satisfaction and retention and to quality of patient care. Therefore, a tool developed and tested to measure supervisors' supportive capacities in LTC is primal to evaluate the effectiveness of supervisors in these environments.

Lunar-Mars Life Support Test Project. Phase 2; Human Factors and Crew Interactions

NASA Technical Reports Server (NTRS)

Ming, D. W.; Hurlbert, K. M.; Kirby, G.; Lewis, J. F.; ORear, P.

1997-01-01

Phase 2 of the Lunar-Mars Life Support Test Project was conducted in June and July of 1996 at the NASA Johnson Space Center. The primary objective of Phase 2 was to demonstrate and evaluate an integrated physicochemical air revitalization and regenerative water recovery system capable of sustaining a human crew of four for 30 days inside a closed chamber. The crew (3 males and 1 female) was continuously present inside a chamber throughout the 30-day test. The objective of this paper was to describe crew interactions and human factors for the test. Crew preparations for the test included training and familiarization of chamber systems and accommodations, and medical and psychological evaluations. During the test, crew members provided metabolic loads for the life support systems, performed maintenance on chamber systems, and evaluated human factors inside the chamber. Overall, the four crew members found the chamber to be comfortable for the 30-day test. The crew performed well together and this was attributed in part to team dynamics, skill mix (one commander, two system experts, and one logistics lead), and a complementary mix of personalities. Communication with and support by family, friends, and colleagues were identified as important contributors to the high morale of the crew during the test. Lessons learned and recommendations for future testing are presented by the crew in this paper.

Can Religious Beliefs be a Protective Factor for Suicidal Behavior? A Decision Tree Analysis in a Mid-Sized City in Iran, 2013.

PubMed

Baneshi, Mohammad Reza; Haghdoost, Ali Akbar; Zolala, Farzaneh; Nakhaee, Nouzar; Jalali, Maryam; Tabrizi, Reza; Akbari, Maryam

2017-04-01

This study aimed to assess using tree-based models the impact of different dimensions of religion and other risk factors on suicide attempts in the Islamic Republic of Iran. Three hundred patients who attempted suicide and 300 age- and sex-matched patient attendants with other types of disease who referred to Kerman Afzalipour Hospital were recruited for this study following a convenience sampling. Religiosity was assessed by the Duke University Religion Index. A tree-based model was constructed using the Gini Index as the homogeneity criterion. A complementary discrimination analysis was also applied. Variables contributing to the construction of the tree were stressful life events, mental disorder, family support, and religious belief. Strong religious belief was a protective factor for those with a low number of stressful life events and those with a high mental disorder score; 72 % of those who formed these two groups had not attempted suicide. Moreover, 63 % of those with a high number of stressful life events, strong family support, strong problem-solving skills, and a low mental disorder score were less likely to attempt suicide. The significance of four other variables, GHQ, problem-coping skills, friend support, and neuroticism, was revealed in the discrimination analysis. Religious beliefs seem to be an independent factor that can predict risk for suicidal behavior. Based on the decision tree, religious beliefs among people with a high number of stressful life events might not be a dissuading factor. Such subjects need more family support and problem-solving skills.

Surveying Professionals' Views of Positive Behavior Support and Behavior Analysis

ERIC Educational Resources Information Center

Filter, Kevin J.; Tincani, Matt; Fung, Daniel

2009-01-01

Positive behavior support (PBS) is an empirically driven approach to improve quality of life influenced by the science of behavior analysis. Recent discussions have evolved around PBS, behavior analysis, and their relationship within education and human services fields. To date, few data have been offered to guide behaviorally oriented…

Factor Analysis for Clustered Observations.

ERIC Educational Resources Information Center

Longford, N. T.; Muthen, B. O.

1992-01-01

A two-level model for factor analysis is defined, and formulas for a scoring algorithm for this model are derived. A simple noniterative method based on decomposition of total sums of the squares and cross-products is discussed and illustrated with simulated data and data from the Second International Mathematics Study. (SLD)

Professional Support Staff at Higher Education Institutions in Sweden: Roles and Success Factors for the Job

ERIC Educational Resources Information Center

Ryttberg, Malin; Geschwind, Lars

2017-01-01

This paper aims to analyse and discuss the professional support staff at higher education institutions in Sweden in terms of how they view their roles and what the success factors for them are. The study is based on semi-structured interviews with support staff from the fields of business liaison, internationalisation and strategic research…

Using factor analysis to identify neuromuscular synergies during treadmill walking

NASA Technical Reports Server (NTRS)

Merkle, L. A.; Layne, C. S.; Bloomberg, J. J.; Zhang, J. J.

1998-01-01

Neuroscientists are often interested in grouping variables to facilitate understanding of a particular phenomenon. Factor analysis is a powerful statistical technique that groups variables into conceptually meaningful clusters, but remains underutilized by neuroscience researchers presumably due to its complicated concepts and procedures. This paper illustrates an application of factor analysis to identify coordinated patterns of whole-body muscle activation during treadmill walking. Ten male subjects walked on a treadmill (6.4 km/h) for 20 s during which surface electromyographic (EMG) activity was obtained from the left side sternocleidomastoid, neck extensors, erector spinae, and right side biceps femoris, rectus femoris, tibialis anterior, and medial gastrocnemius. Factor analysis revealed 65% of the variance of seven muscles sampled aligned with two orthogonal factors, labeled 'transition control' and 'loading'. These two factors describe coordinated patterns of muscular activity across body segments that would not be evident by evaluating individual muscle patterns. The results show that factor analysis can be effectively used to explore relationships among muscle patterns across all body segments to increase understanding of the complex coordination necessary for smooth and efficient locomotion. We encourage neuroscientists to consider using factor analysis to identify coordinated patterns of neuromuscular activation that would be obscured using more traditional EMG analyses.

Validation of the Malay Version of the Parental Bonding Instrument among Malaysian Youths Using Exploratory Factor Analysis.

PubMed

Muhammad, Noor Azimah; Shamsuddin, Khadijah; Omar, Khairani; Shah, Shamsul Azhar; Mohd Amin, Rahmah

2014-01-01

Parenting behaviour is culturally sensitive. The aims of this study were (1) to translate the Parental Bonding Instrument into Malay (PBI-M) and (2) to determine its factorial structure and validity among the Malaysian population. The PBI-M was generated from a standard translation process and comprehension testing. The validation study of the PBI-M was administered to 248 college students aged 18 to 22 years. Participants in the comprehension testing had difficulty understanding negative items. Five translated double negative items were replaced with five positive items with similar meanings. Exploratory factor analysis showed a three-factor model for the PBI-M with acceptable reliability. Four negative items (items 3, 4, 8, and 16) and item 19 were omitted from the final PBI-M list because of incorrect placement or low factor loading (< 0.32). Out of the final 20 items of the PBI-M, there were 10 items for the care factor, five items for the autonomy factor and five items for the overprotection factor. All the items loaded positively on their respective factors. The Malaysian population favoured positive items in answering questions. The PBI-M confirmed the three-factor model that consisted of care, autonomy and overprotection. The PBI-M is a valid and reliable instrument to assess the Malaysian parenting style. Confirmatory factor analysis may further support this finding. Malaysia, parenting, questionnaire, validity.

Numerical Package in Computer Supported Numeric Analysis Teaching

ERIC Educational Resources Information Center

Tezer, Murat

2007-01-01

At universities in the faculties of Engineering, Sciences, Business and Economics together with higher education in Computing, it is stated that because of the difficulty, calculators and computers can be used in Numerical Analysis (NA). In this study, the learning computer supported NA will be discussed together with important usage of the…

Improving the Representation of Human Factors in Operational Analysis

DTIC Science & Technology

2010-10-01

Defence Equipment and Support (DE&S) via Human Factors Integration Defence Technology Centre ( HFI DTC) activities. In particular this study’s Theme...Framework has been exploited in the HFI DTC Social Organisational Framework study, and the study team has provided a short extract for contribution to...the HFI DTC Handbook. The study has also been explicitly referenced in support to future MOD OA research studies. 8 SUMMARY AND CONCLUSIONS This

Root cause analysis to support infection control in healthcare premises.

PubMed

Venier, A-G

2015-04-01

Infection control teams (ICTs) seek to prevent healthcare-associated infections (HCAIs). They undertake surveillance and prevention, promote safety and quality of care, and evaluate and manage risk. Root cause analysis (RCA) can support this work but is not widely used by ICTs. This paper describes how ICTs can use RCA to enhance their day-to-day work. Many different tools and methods exist for RCA. Its primary aim is to identify the factors that have led to HCAI, but RCA can also be used for near-misses. A team effort and multidisciplinary work are usually required. Published accounts and personal experience in the field indicate that an ICT that correctly uses RCA implements more effective prevention measures, improves practice and collaborative working, enhances teamwork, and reduces the risk of HCAI. RCA should be promoted among ICTs because it adds value to their work and helps to develop a hospital culture that anticipates and pre-empts problems. Copyright © 2014 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

Human Factors Assessment of Respiratory Support Pack (RSP) Cue Card

NASA Technical Reports Server (NTRS)

Whitmore, Mihriban; Hudy, Cynthia; Smith, Danielle; Byrne, Vicky

2005-01-01

The Respiratory Support Pack (RSP) is a medical pack onboard the International Space Station (ISS) that contains much of the necessary equipment for providing aid to a conscious or unconscious crewmember in respiratory distress. Inside the RSP lid pocket is a 5.5 by 11 inch paper cue card, which is used by a Crew Medical Officer as the procedure to set up the equipment and deliver oxygen to a crewmember. In training, crewmembers expressed concerns about the readability and usability of the cue card; consequently, updating the cue card was prioritized as an activity to be completed prior to Space Shuttle return-to-flight. The Usability Testing and Analysis Facility at the Johnson Space Center evaluated the current layout of the cue card, and proposed several new cue card designs based on human factors principals. A series of three studies were performed in order to experimentally compare performance with each of the cue card designs. Nonmedically trained personnel used either a redesigned RSP cue card, or the original card to simulate resuscitation (using a mannequin along with the hardware). Time to completion, errors and subjective ratings were recorded. The addition of pictures, colors, borders, and simplification of the flow of information (making minimal changes to the actual procedure content) elicited great benefits during testing. Time to complete RSP procedures was reduced by as much as three minutes with the final cue card design. Detailed results from these studies, as well as general guidelines for cue card design will be discussed.

Statistical analysis of the electrocatalytic activity of Pt nanoparticles supported on novel functionalized reduced graphene oxide-chitosan for methanol electrooxidation

NASA Astrophysics Data System (ADS)

Ekrami-Kakhki, Mehri-Saddat; Abbasi, Sedigheh; Farzaneh, Nahid

2018-01-01

The purpose of this study is to statistically analyze the anodic current density and peak potential of methanol oxidation at Pt nanoparticles supported on functionalized reduced graphene oxide (RGO), using design of experiments methodology. RGO is functionalized with methyl viologen (MV) and chitosan (CH). The novel Pt/MV-RGO-CH catalyst is successfully prepared and characterized with transmission electron microscopy (TEM) image. The electrocatalytic activity of Pt/MV-RGOCH catalyst is experimentally evaluated for methanol oxidation. The effects of methanol concentration and scan rate factors are also investigated experimentally and statistically. The effects of these two main factors and their interactions are investigated, using analysis of variance test, Duncan's multiple range test and response surface method. The results of the analysis of variance show that all the main factors and their interactions have a significant effect on anodic current density and peak potential of methanol oxidation at α = 0.05. The suggested models which encompass significant factors can predict the variation of the anodic current density and peak potential of methanol oxidation. The results of Duncan's multiple range test confirmed that there is a significant difference between the studied levels of the main factors. [Figure not available: see fulltext.

Eastern minds in western cockpits: meta-analysis of human factors in mishaps from three nations.

PubMed

Li, Wen-Chin; Harris, Don; Chen, Aurora

2007-04-01

Aviation accident rates vary in different regions; Asia and Africa have higher rates than Europe and America. There has been a great deal of discussion about the role of culture in aviation mishaps; however, culture is rarely mentioned as a contributory factor in accidents. It is hypothesized that different cultures will show different patterns in the underlying causal factors in aircraft accidents. Using a meta-analysis of previously published results, this research examined statistical differences in the 18 categories of the Human Factors Analysis and Classification System (HFACS) across accidents in the Republic of China (Taiwan), India, and the United States. Seven HFACS categories exhibited significant differences between these three regions. These were mostly concerned with contributory factors at the higher organizational levels. The differences were related to organizational processes, organizational climate, resource management, inadequate supervision, physical/mental limitations, adverse mental states, and decision errors. Overall, the evidence from this research supports the observation that national cultures have an impact on aviation safety and adds further explanatory power with regards to why this should be so. The majority of the cultural issues identified seem to be associated with the style of management of the organizations rather than the operation of the aircraft per se.

[Social-psychological factors contributing to male juvenile delinquency].

PubMed

Wei, Hong-Ping; Yang, Fang-Ru

2011-11-01

To study the major social-psychological factors contributing to male juvenile delinquency. One hundred and thirty-seven cases of male juvenile delinquents (delinquent group) and 145 aged-matched male students (control group) were enrolled in this case-control study. A questionnaire survey was conducted using the Adolescent Self-Rating Life Events Check List, the Coping Style Questionnaire, the Family Environment Scale-Chinese version, and the Social Support Rating Scale. The monovariate analysis showed that the total score and the scores of some factors of negative life events, the scores of immature coping styles and family conflicts, and the proportion of broken families in the delinquent group were significantly higher than those in the control group. In contrast, the scores of educational levels, study stress factor in the negative life events, mature coping styles, family environments and social supports were significantly lower in the delinquent group than those in the control group. The multivariate factors analysis showed that 7 variables were enrolled into the discriminatory equations, including negative life events (interpersonal relationship and healthy adaptation), self-condemn styles, family conflicts, subjective supports, objective supports, and utilization of social supports. The total accuracy of this equation was 92.2%. Negative life events in the interpersonal relationship and healthy adaptation, self-condemn styles, family conflicts, and weak social support system may be major social-psychological factors contributing to male juvenile delinquency.

A Factor Analysis of the BSRI and the PAQ.

ERIC Educational Resources Information Center

Edwards, Teresa A.; And Others

Factor analysis of the Bem Sex Role Inventory (BSRI) and the Personality Attributes Questionnaire (PAQ) was undertaken to study the independence of the masculine and feminine scales within each instrument. Both instruments were administered to undergraduate education majors. Analysis of primary first and second order factors of the BSRI indicated…

Altair Lander Life Support: Design Analysis Cycles 4 and 5

NASA Technical Reports Server (NTRS)

Anderson, Molly; Curley, Su; Rotter, Henry; Stambaugh, Imelda; Yagoda, Evan

2011-01-01

Life support systems are a critical part of human exploration beyond low earth orbit. NASA s Altair Lunar Lander team is pursuing efficient solutions to the technical challenges of human spaceflight. Life support design efforts up through Design Analysis Cycle (DAC) 4 focused on finding lightweight and reliable solutions for the Sortie and Outpost missions within the Constellation Program. In DAC-4 and later follow on work, changes were made to add functionality for new requirements accepted by the Altair project, and to update the design as knowledge about certain issues or hardware matured. In DAC-5, the Altair project began to consider mission architectures outside the Constellation baseline. Selecting the optimal life support system design is very sensitive to mission duration. When the mission goals and architecture change several trade studies must be conducted to determine the appropriate design. Finally, several areas of work developed through the Altair project may be applicable to other vehicle concepts for microgravity missions. Maturing the Altair life support system related analysis, design, and requirements can provide important information for developers of a wide range of other human vehicles.

Altair Lander Life Support: Design Analysis Cycles 4 and 5

NASA Technical Reports Server (NTRS)

Anderson, Molly; Curley, Su; Rotter, Henry; Yagoda, Evan

2010-01-01

Life support systems are a critical part of human exploration beyond low earth orbit. NASA s Altair Lunar Lander team is pursuing efficient solutions to the technical challenges of human spaceflight. Life support design efforts up through Design Analysis Cycle (DAC) 4 focused on finding lightweight and reliable solutions for the Sortie and Outpost missions within the Constellation Program. In DAC-4 and later follow on work, changes were made to add functionality for new requirements accepted by the Altair project, and to update the design as knowledge about certain issues or hardware matured. In DAC-5, the Altair project began to consider mission architectures outside the Constellation baseline. Selecting the optimal life support system design is very sensitive to mission duration. When the mission goals and architecture change several trade studies must be conducted to determine the appropriate design. Finally, several areas of work developed through the Altair project may be applicable to other vehicle concepts for microgravity missions. Maturing the Altair life support system related analysis, design, and requirements can provide important information for developers of a wide range of other human vehicles.

75 FR 69140 - NUREG-1953, Confirmatory Thermal-Hydraulic Analysis To Support Specific Success Criteria in the...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-10

... To Support Specific Success Criteria in the Standardized Plant Analysis Risk Models--Surry and Peach... INFORMATION: NUREG-1953, ``Confirmatory Thermal-Hydraulic Analysis to Support Specific Success Criteria in the... document entitled: NUREG-1953, ``Confirmatory Thermal- Hydraulic Analysis to Support Specific Success...

Establishing Factor Validity Using Variable Reduction in Confirmatory Factor Analysis.

ERIC Educational Resources Information Center

Hofmann, Rich

1995-01-01

Using a 21-statement attitude-type instrument, an iterative procedure for improving confirmatory model fit is demonstrated within the context of the EQS program of P. M. Bentler and maximum likelihood factor analysis. Each iteration systematically eliminates the poorest fitting statement as identified by a variable fit index. (SLD)

Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems—I-MeDeSA

PubMed Central

Zachariah, Marianne; Seidling, Hanna M; Neri, Pamela M; Cresswell, Kathrin M; Duke, Jon; Bloomrosen, Meryl; Volk, Lynn A; Bates, David W

2011-01-01

Background Medication-related decision support can reduce the frequency of preventable adverse drug events. However, the design of current medication alerts often results in alert fatigue and high over-ride rates, thus reducing any potential benefits. Methods The authors previously reviewed human-factors principles for relevance to medication-related decision support alerts. In this study, instrument items were developed for assessing the appropriate implementation of these human-factors principles in drug–drug interaction (DDI) alerts. User feedback regarding nine electronic medical records was considered during the development process. Content validity, construct validity through correlation analysis, and inter-rater reliability were assessed. Results The final version of the instrument included 26 items associated with nine human-factors principles. Content validation on three systems resulted in the addition of one principle (Corrective Actions) to the instrument and the elimination of eight items. Additionally, the wording of eight items was altered. Correlation analysis suggests a direct relationship between system age and performance of DDI alerts (p=0.0016). Inter-rater reliability indicated substantial agreement between raters (κ=0.764). Conclusion The authors developed and gathered preliminary evidence for the validity of an instrument that measures the appropriate use of human-factors principles in the design and display of DDI alerts. Designers of DDI alerts may use the instrument to improve usability and increase user acceptance of medication alerts, and organizations selecting an electronic medical record may find the instrument helpful in meeting their clinicians' usability needs. PMID:21946241

Nerve growth factor for Bell’s palsy: A meta-analysis

PubMed Central

SU, YIPENG; DONG, XIAOMENG; LIU, JUAN; HU, YAOZHI; CHEN, JINBO

2015-01-01

A meta-analysis was performed to evaluate the efficacy and safety of nerve growth factor (NGF) in the treatment of Bell’s palsy. PubMed, the Cochrane Central Register of Controlled Trials, Embase and a number of Chinese databases, including the China National Knowledge Infrastructure, China Biology Medicine disc, VIP Database for Chinese Technical Periodicals and Wan Fang Data, were used to collect randomised controlled trials (RCTs) of NGF for Bell’s palsy. The span of the search covered data from the date of database establishment until December 2013. The included trials were screened comprehensively and rigorously. The efficacies of NGF were pooled via meta-analysis performed using Review Manager 5.2 software. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using the fixed-effects model. The meta-analysis of eight RCTs showed favorable effects of NGF on the disease response rate (n=642; OR, 3.87; 95% CI, 2.13–7.03; P<0.01; I2=0%). However, evidence supporting the effectiveness of NGF for the treatment of Bell’s palsy is limited. The number and quality of trials are too low to form solid conclusions. Further meticulous RCTs are required to overcome the limitations identified in the present study. PMID:25574223

Improving the Estimates of International Space Station (ISS) Induced K-Factor Failure Rates for On-Orbit Replacement Unit (ORU) Supportability Analyses

NASA Technical Reports Server (NTRS)

Anderson, Leif F.; Harrington, Sean P.; Omeke, Ojei, II; Schwaab, Douglas G.

2009-01-01

This is a case study on revised estimates of induced failure for International Space Station (ISS) on-orbit replacement units (ORUs). We devise a heuristic to leverage operational experience data by aggregating ORU, associated function (vehicle sub -system), and vehicle effective' k-factors using actual failure experience. With this input, we determine a significant failure threshold and minimize the difference between the actual and predicted failure rates. We conclude with a discussion on both qualitative and quantitative improvements the heuristic methods and potential benefits to ISS supportability engineering analysis.

The associations of social support and other psychosocial factors with mortality and quality of life in the dialysis outcomes and practice patterns study.

PubMed

Untas, Aurélie; Thumma, Jyothi; Rascle, Nicole; Rayner, Hugh; Mapes, Donna; Lopes, Antonio A; Fukuhara, Shunichi; Akizawa, Tadao; Morgenstern, Hal; Robinson, Bruce M; Pisoni, Ronald L; Combe, Christian

2011-01-01

This study aimed to investigate the influence of social support and other psychosocial factors on mortality, adherence to medical care recommendations, and physical quality of life among hemodialysis patients. Data on 32,332 hemodialysis patients enrolled in the Dialysis Outcomes and Practice Patterns Study (1996 to 2008) in 12 countries were analyzed. Social support and other psychosocial factors related to ESRD and its treatment were measured by patient self-reports of health interference with social activities, isolation, feeling like a burden, and support from family and dialysis staff. Cox regression and logistic regression were used to examine associations of baseline social support and other psychosocial factors with all-cause mortality and with other measured outcomes at baseline, adjusting for potential confounders. Mortality was higher among patients reporting that their health interfered with social activities, were isolated, felt like a burden, and were dissatisfied with family support. Poorer family support and several psychosocial measures also were associated with lower adherence to the prescribed hemodialysis length and the recommended weight gain between sessions. Some international differences were observed. Poorer self-reported social support and other psychosocial factors were associated with poor physical quality of life. Poorer social support and other psychosocial factors are associated with higher mortality risk, lower adherence to medical care, and poorer physical quality of life in hemodialysis patients. More research is needed to assess whether interventions to improve social support and other psychosocial factors will lengthen survival and enhance quality of life.

The potential for meta-analysis to support decision analysis in ecology.

PubMed

Mengersen, Kerrie; MacNeil, M Aaron; Caley, M Julian

2015-06-01

Meta-analysis and decision analysis are underpinned by well-developed methods that are commonly applied to a variety of problems and disciplines. While these two fields have been closely linked in some disciplines such as medicine, comparatively little attention has been paid to the potential benefits of linking them in ecology, despite reasonable expectations that benefits would be derived from doing so. Meta-analysis combines information from multiple studies to provide more accurate parameter estimates and to reduce the uncertainty surrounding them. Decision analysis involves selecting among alternative choices using statistical information that helps to shed light on the uncertainties involved. By linking meta-analysis to decision analysis, improved decisions can be made, with quantification of the costs and benefits of alternate decisions supported by a greater density of information. Here, we briefly review concepts of both meta-analysis and decision analysis, illustrating the natural linkage between them and the benefits from explicitly linking one to the other. We discuss some examples in which this linkage has been exploited in the medical arena and how improvements in precision and reduction of structural uncertainty inherent in a meta-analysis can provide substantive improvements to decision analysis outcomes by reducing uncertainty in expected loss and maximising information from across studies. We then argue that these significant benefits could be translated to ecology, in particular to the problem of making optimal ecological decisions in the face of uncertainty. Copyright © 2013 John Wiley & Sons, Ltd.

Neuroanatomic overlap between intelligence and cognitive factors: morphometry methods provide support for the key role of the frontal lobes.

PubMed

Colom, Roberto; Burgaleta, Miguel; Román, Francisco J; Karama, Sherif; Alvarez-Linera, Juan; Abad, Francisco J; Martínez, Kenia; Quiroga, Ma Ángeles; Haier, Richard J

2013-05-15

Evidence from neuroimaging studies suggests that intelligence differences may be supported by a parieto-frontal network. Research shows that this network is also relevant for cognitive functions such as working memory and attention. However, previous studies have not explicitly analyzed the commonality of brain areas between a broad array of intelligence factors and cognitive functions tested in the same sample. Here fluid, crystallized, and spatial intelligence, along with working memory, executive updating, attention, and processing speed were each measured by three diverse tests or tasks. These twenty-one measures were completed by a group of one hundred and four healthy young adults. Three cortical measures (cortical gray matter volume, cortical surface area, and cortical thickness) were regressed against psychological latent scores obtained from a confirmatory factor analysis for removing test and task specific variance. For cortical gray matter volume and cortical surface area, the main overlapping clusters were observed in the middle frontal gyrus and involved fluid intelligence and working memory. Crystallized intelligence showed an overlapping cluster with fluid intelligence and working memory in the middle frontal gyrus. The inferior frontal gyrus showed overlap for crystallized intelligence, spatial intelligence, attention, and processing speed. The fusiform gyrus in temporal cortex showed overlap for spatial intelligence and attention. Parietal and occipital areas did not show any overlap across intelligence and cognitive factors. Taken together, these findings underscore that structural features of gray matter in the frontal lobes support those aspects of intelligence related to basic cognitive processes. Copyright © 2013 Elsevier Inc. All rights reserved.

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

PubMed

Gormley, Denise K

2003-04-01

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

Religion as a Support Factor for Women of Color Pursuing Science Degrees: Implications for Science Teacher Educators

NASA Astrophysics Data System (ADS)

Ceglie, Robert

2013-02-01

This study explores the influence of religion as a support factor for a group of Latina and African-American women majoring in science. The current project is a part of a larger study that investigated persistence factors of underrepresented woman who were enrolled as science majors at United States colleges and universities. This paper focuses on one theme that emerged among six participants who disclosed how religion was a significant influence on their persistence in science fields. The strength and support offered by religious values is certainly not specific to science content; however, the support received from their beliefs highlights a potential area for further exploration. Given the importance of increasing participation by students from diverse backgrounds into science fields, it is critical to recognize how some of these differences may be the key factors influencing the way these students look at the world. This study offers evidence that science educators need to consider what role religious beliefs have for students who may be considering science or science education as a future career, particularly for those students from underrepresented groups.

Supporting cognition in systems biology analysis: findings on users' processes and design implications.

PubMed

Mirel, Barbara

2009-02-13

Current usability studies of bioinformatics tools suggest that tools for exploratory analysis support some tasks related to finding relationships of interest but not the deep causal insights necessary for formulating plausible and credible hypotheses. To better understand design requirements for gaining these causal insights in systems biology analyses a longitudinal field study of 15 biomedical researchers was conducted. Researchers interacted with the same protein-protein interaction tools to discover possible disease mechanisms for further experimentation. Findings reveal patterns in scientists' exploratory and explanatory analysis and reveal that tools positively supported a number of well-structured query and analysis tasks. But for several of scientists' more complex, higher order ways of knowing and reasoning the tools did not offer adequate support. Results show that for a better fit with scientists' cognition for exploratory analysis systems biology tools need to better match scientists' processes for validating, for making a transition from classification to model-based reasoning, and for engaging in causal mental modelling. As the next great frontier in bioinformatics usability, tool designs for exploratory systems biology analysis need to move beyond the successes already achieved in supporting formulaic query and analysis tasks and now reduce current mismatches with several of scientists' higher order analytical practices. The implications of results for tool designs are discussed.

The Recoverability of P-Technique Factor Analysis

ERIC Educational Resources Information Center

Molenaar, Peter C. M.; Nesselroade, John R.

2009-01-01

It seems that just when we are about to lay P-technique factor analysis finally to rest as obsolete because of newer, more sophisticated multivariate time-series models using latent variables--dynamic factor models--it rears its head to inform us that an obituary may be premature. We present the results of some simulations demonstrating that even…

Bootstrap Confidence Intervals for Ordinary Least Squares Factor Loadings and Correlations in Exploratory Factor Analysis

ERIC Educational Resources Information Center

Zhang, Guangjian; Preacher, Kristopher J.; Luo, Shanhong

2010-01-01

This article is concerned with using the bootstrap to assign confidence intervals for rotated factor loadings and factor correlations in ordinary least squares exploratory factor analysis. Coverage performances of "SE"-based intervals, percentile intervals, bias-corrected percentile intervals, bias-corrected accelerated percentile…

The Influence of Supports Strategies, Environmental Factors, and Client Characteristics on Quality of Life-Related Personal Outcomes

ERIC Educational Resources Information Center

Claes, Claudia; Van Hove, Geert; Vandevelde, Stijn; van Loon, Jos; Schalock, Robert

2012-01-01

The concept of quality of life (QOL) is increasingly being used as a support provision and outcomes evaluation framework in the field of intellectual disability (ID). The present study used a hierarchical multiple regression research design to determine the role that available supports strategies, environmental factors, and client characteristics…

Genome-Wide Analysis of Genetic Risk Factors for Rheumatic Heart Disease in Aboriginal Australians Provides Support for Pathogenic Molecular Mimicry.

PubMed

Gray, Lesley-Ann; D'Antoine, Heather A; Tong, Steven Y C; McKinnon, Melita; Bessarab, Dawn; Brown, Ngiare; Reményi, Bo; Steer, Andrew; Syn, Genevieve; Blackwell, Jenefer M; Inouye, Michael; Carapetis, Jonathan R

2017-12-12

Rheumatic heart disease (RHD) after group A streptococcus (GAS) infections is heritable and prevalent in Indigenous populations. Molecular mimicry between human and GAS proteins triggers proinflammatory cardiac valve-reactive T cells. Genome-wide genetic analysis was undertaken in 1263 Aboriginal Australians (398 RHD cases; 865 controls). Single-nucleotide polymorphisms were genotyped using Illumina HumanCoreExome BeadChips. Direct typing and imputation was used to fine-map the human leukocyte antigen (HLA) region. Epitope binding affinities were mapped for human cross-reactive GAS proteins, including M5 and M6. The strongest genetic association was intronic to HLA-DQA1 (rs9272622; P = 1.86 × 10-7). Conditional analyses showed rs9272622 and/or DQA1*AA16 account for the HLA signal. HLA-DQA1*0101_DQB1*0503 (odds ratio [OR], 1.44; 95% confidence interval [CI], 1.09-1.90; P = 9.56 × 10-3) and HLA-DQA1*0103_DQB1*0601 (OR, 1.27; 95% CI, 1.07-1.52; P = 7.15 × 10-3) were risk haplotypes; HLA_DQA1*0301-DQB1*0402 (OR 0.30, 95%CI 0.14-0.65, P = 2.36 × 10-3) was protective. Human myosin cross-reactive N-terminal and B repeat epitopes of GAS M5/M6 bind with higher affinity to DQA1/DQB1 alpha/beta dimers for the 2-risk haplotypes than the protective haplotype. Variation at HLA_DQA1-DQB1 is the major genetic risk factor for RHD in Aboriginal Australians studied here. Cross-reactive epitopes bind with higher affinity to alpha/beta dimers formed by risk haplotypes, supporting molecular mimicry as the key mechanism of RHD pathogenesis. © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

A Second-Order Confirmatory Factor Analysis of the Moral Distress Scale-Revised for Nurses.

PubMed

Sharif Nia, Hamid; Shafipour, Vida; Allen, Kelly-Ann; Heidari, Mohammad Reza; Yazdani-Charati, Jamshid; Zareiyan, Armin

2017-01-01

Moral distress is a growing problem for healthcare professionals that may lead to dissatisfaction, resignation, or occupational burnout if left unattended, and nurses experience different levels of this phenomenon. This study aims to investigate the factor structure of the Persian version of the Moral Distress Scale-Revised in intensive care and general nurses. This methodological research was conducted with 771 nurses from eight hospitals in the Mazandaran Province of Iran in 2017. Participants completed the Moral Distress Scale-Revised, data collected, and factor structure assessed using the construct, convergent, and divergent validity methods. The reliability of the scale was assessed using internal consistency (Cronbach's alpha, Theta, and McDonald's omega coefficients) and construct reliability. Ethical considerations: This study was approved by the Ethics Committee of Mazandaran University of Medical Sciences. The exploratory factor analysis ( N = 380) showed that the Moral Distress Scale-Revised has five factors: lack of professional competence at work, ignoring ethical issues and patient conditions, futile care, carrying out the physician's orders without question and unsafe care, and providing care under personal and organizational pressures, which explained 56.62% of the overall variance. The confirmatory factor analysis ( N = 391) supported the five-factor solution and the second-order latent factor model. The first-order model did not show a favorable convergent and divergent validity. Ultimately, the Moral Distress Scale-Revised was found to have a favorable internal consistency and construct reliability. The Moral Distress Scale-Revised was found to be a multidimensional construct. The data obtained confirmed the hypothesis of the factor structure model with a latent second-order variable. Since the convergent and divergent validity of the scale were not confirmed in this study, further assessment is necessary in future studies.

Success Factors of European Syndromic Surveillance Systems: A Worked Example of Applying Qualitative Comparative Analysis

PubMed Central

Ziemann, Alexandra; Fouillet, Anne; Brand, Helmut; Krafft, Thomas

2016-01-01

Introduction Syndromic surveillance aims at augmenting traditional public health surveillance with timely information. To gain a head start, it mainly analyses existing data such as from web searches or patient records. Despite the setup of many syndromic surveillance systems, there is still much doubt about the benefit of the approach. There are diverse interactions between performance indicators such as timeliness and various system characteristics. This makes the performance assessment of syndromic surveillance systems a complex endeavour. We assessed if the comparison of several syndromic surveillance systems through Qualitative Comparative Analysis helps to evaluate performance and identify key success factors. Materials and Methods We compiled case-based, mixed data on performance and characteristics of 19 syndromic surveillance systems in Europe from scientific and grey literature and from site visits. We identified success factors by applying crisp-set Qualitative Comparative Analysis. We focused on two main areas of syndromic surveillance application: seasonal influenza surveillance and situational awareness during different types of potentially health threatening events. Results We found that syndromic surveillance systems might detect the onset or peak of seasonal influenza earlier if they analyse non-clinical data sources. Timely situational awareness during different types of events is supported by an automated syndromic surveillance system capable of analysing multiple syndromes. To our surprise, the analysis of multiple data sources was no key success factor for situational awareness. Conclusions We suggest to consider these key success factors when designing or further developing syndromic surveillance systems. Qualitative Comparative Analysis helped interpreting complex, mixed data on small-N cases and resulted in concrete and practically relevant findings. PMID:27182731

The Factor Structure of the English Language Development Assessment: A Confirmatory Factor Analysis

ERIC Educational Resources Information Center

Kuriakose, Anju

2011-01-01

This study investigated the internal factor structure of the English language development Assessment (ELDA) using confirmatory factor analysis. ELDA is an English language proficiency test developed by a consortium of multiple states and is used to identify and reclassify English language learners in kindergarten to grade 12. Scores on item…

Influential Observations in Principal Factor Analysis.

ERIC Educational Resources Information Center

Tanaka, Yutaka; Odaka, Yoshimasa

1989-01-01

A method is proposed for detecting influential observations in iterative principal factor analysis. Theoretical influence functions are derived for two components of the common variance decomposition. The major mathematical tool is the influence function derived by Tanaka (1988). (SLD)

Nutritional support in chronic obstructive pulmonary disease: a systematic review and meta-analysis.

PubMed

Collins, Peter F; Stratton, Rebecca J; Elia, Marinos

2012-06-01

The efficacy of nutritional support in the management of malnutrition in chronic obstructive pulmonary disease (COPD) is controversial. Previous meta-analyses, based on only cross-sectional analysis at the end of intervention trials, found no evidence of improved outcomes. The objective was to conduct a meta-analysis of randomized controlled trials (RCTs) to clarify the efficacy of nutritional support in improving intake, anthropometric measures, and grip strength in stable COPD. Literature databases were searched to identify RCTs comparing nutritional support with controls in stable COPD. Thirteen RCTs (n = 439) of nutritional support [dietary advice (1 RCT), oral nutritional supplements (ONS; 11 RCTs), and enteral tube feeding (1 RCT)] with a control comparison were identified. An analysis of the changes induced by nutritional support and those obtained only at the end of the intervention showed significantly greater increases in mean total protein and energy intakes with nutritional support of 14.8 g and 236 kcal daily. Meta-analyses also showed greater mean (±SE) improvements in favor of nutritional support for body weight (1.94 ± 0.26 kg, P < 0.001; 11 studies, n = 308) and grip strength (5.3%, P < 0.050; 4 studies, n = 156), which was not shown by ANOVA at the end of the intervention, largely because of bias associated with baseline imbalance between groups. This systematic review and meta-analysis showed that nutritional support, mainly in the form of ONS, improves total intake, anthropometric measures, and grip strength in COPD. These results contrast with the results of previous analyses that were based on only cross-sectional measures at the end of intervention trials.

Factors supporting self-management in Parkinson's disease: implications for nursing practice.

PubMed

Chenoweth, Lynn; Gallagher, Robyn; Sheriff, June N; Donoghue, Judith; Stein-Parbury, Jane

2008-09-01

Aim.  To identify the factors associated with better self-management in people with moderate to high levels of Parkinson's disease following an acute illness event. Design and methods.  A prospective, descriptive study conducted with 75 persons with Parkinson's disease over the age of 55, collected twice: within a week of an acute event and 1 month later, after resuming usual life at home. Participants completed a questionnaire on self-rated health status, self-efficacy, sense of coherence, symptom monitoring and medication and general self-management. Background.  Parkinson's disease is a chronic neurological condition that affects many dimensions of life, including threats to self-identity and confidence in self-management. Self-management has the potential to reduce costs through decreased hospital admissions, disease progression and avoidance of complications. While evidence for the relationships between self-management and self-efficacy and sense of coherence has been demonstrated in some chronic illness groups, this has not previously been demonstrated in Parkinson's disease. Results.  The independent predictors of better self-management were not being hospitalized in the last 6 months, more frequent symptom checking and better self-efficacy for self-management. The influence of other factors on self-management, such as sense of coherence, was mediated through self-efficacy. Support of family and others was associated with better self-efficacy both directly and through an improved sense of coherence. Conclusions and relevance to nursing practice.  The presence of informal support plays an important role in sustaining self-efficacy and sense of coherence and hence self-management in persons with Parkinson's disease. Since these attributes are amenable to change, nurses are in a good position to encourage participation in Parkinson's support groups, teach self-management skills through regular symptom monitoring and to assess and promote self

Pattern Analysis and Decision Support for Cancer through Clinico-Genomic Profiles

NASA Astrophysics Data System (ADS)

Exarchos, Themis P.; Giannakeas, Nikolaos; Goletsis, Yorgos; Papaloukas, Costas; Fotiadis, Dimitrios I.

Advances in genome technology are playing a growing role in medicine and healthcare. With the development of new technologies and opportunities for large-scale analysis of the genome, genomic data have a clear impact on medicine. Cancer prognostics and therapeutics are among the first major test cases for genomic medicine, given that all types of cancer are related with genomic instability. In this paper we present a novel system for pattern analysis and decision support in cancer. The system integrates clinical data from electronic health records and genomic data. Pattern analysis and data mining methods are applied to these integrated data and the discovered knowledge is used for cancer decision support. Through this integration, conclusions can be drawn for early diagnosis, staging and cancer treatment.

Application of factor analysis to the water quality in reservoirs

NASA Astrophysics Data System (ADS)

Silva, Eliana Costa e.; Lopes, Isabel Cristina; Correia, Aldina; Gonçalves, A. Manuela

2017-06-01

In this work we present a Factor Analysis of chemical and environmental variables of the water column and hydro-morphological features of several Portuguese reservoirs. The objective is to reduce the initial number of variables, keeping their common characteristics. Using the Factor Analysis, the environmental variables measured in the epilimnion and in the hypolimnion, together with the hydromorphological characteristics of the dams were reduced from 63 variables to only 13 factors, which explained a total of 83.348% of the variance in the original data. After performing rotation using the Varimax method, the relations between the factors and the original variables got clearer and more explainable, which provided a Factor Analysis model for these environmental variables using 13 varifactors: Water quality and distance to the source, Hypolimnion chemical composition, Sulfite-reducing bacteria and nutrients, Coliforms and faecal streptococci, Reservoir depth, Temperature, Location, among other factors.

Family support and other social factors precipitating suicidal ideation.

PubMed

Hirsch, J; Ellis, J B

1995-01-01

To examine the effects of family support and demographics on suicidal behavior, 385 subjects completed a demographic questionnaire and a Suicidal Ideation Questionnaire (SIQ). Sixteen percent described themselves as "serious" ideators, while 59% were seen as ideators, numbers consistent with past suicide research. Multiple regression analyses revealed that the type of caregiver a person reported having while growing up accounted for a significant amount of the variance on ideator status. Serious ideators were more common among single parent households. Although many demographic variables were assessed, only the primary caregiver a person had as a child impacted their status as a suicidal ideator. This suggests that suicidal behaviors may occur due to a complex interaction between social factors and childhood care. The influence of living in a single-parent home may contribute to whether or not a person considers suicide.

A meta-analysis of peripheral blood nerve growth factor levels in patients with schizophrenia.

PubMed

Qin, X-Y; Wu, H-T; Cao, C; Loh, Y P; Cheng, Y

2017-09-01

Neurotrophins particularly brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) are crucial modulators in the neurodevelopment and maintenance of central and peripheral nervous systems. Neurotrophin hypothesis of schizophrenia (SCZ) postulated that the changes in the brains of SCZ patients are the result of disturbances of developing processes involving neurotrophic factors. This hypothesis was mainly supported by the abnormal regulation of BDNF in SCZ, especially the decreased peripheral blood BDNF levels in SCZ patients validated by several meta-analyses. However, the regulation of NGF in SCZ remains unclear because of the inconsistent findings from the clinical studies. Therefore, we undertook, to the best of our knowledge, the first systematic review with a meta-analysis to quantitatively summarize the peripheral blood NGF data in SCZ patients compared with healthy control (HC) subjects. A systematic search of Pubmed, PsycINFO and Web of Science identified 13 articles encompassing a sample of 1693 individuals for the meta-analysis. Random-effects meta-analysis showed that patients with SCZ had significantly decreased peripheral blood levels of NGF when compared with the HC subjects (Hedges's g=-0.633, 95% confidence interval (CI)=-0.948 to -0.318, P<0.001). Subgroup analyses revealed reduced NGF levels both in serum (Hedges's g=-0.671, 95% CI=-1.259 to -0.084, P=0.025) and plasma (Hedges's g=-0.621, 95% CI=-0.980 to -0.261, P<0.001) of the patients, and in drug-free (Hedges's g=-0.670, 95% CI=-1.118 to -0.222, P=0.003) and medicated (Hedges's g=-0.357, 95% CI=-0.592 to -0.123, P=0.003) patients with SCZ. Furthermore, meta-regression analyses showed that age, gender and sample size had no moderating effects on the outcome of the meta-analysis, whereas disease severity might be a confounding factor for the meta-analysis. These results demonstrated that patients with SCZ are accompanied by the decreased peripheral blood NGF levels, strengthening

Fracture analysis of randomized implant-supported fixed dental prostheses

PubMed Central

Esquivel-Upshaw, Josephine F.; Mehler, Alex; Clark, Arthur E.; Neal, Dan; Anusavice, Kenneth J.

2014-01-01

Objective Fractures of posterior fixed dental all-ceramic prostheses can be caused by one or more factors including prosthesis design, flaw distribution, direction and magnitude of occlusal loading, and nature of supporting infrastructure (tooth root/implant), and presence of adjacent teeth. This clinical study of implant-supported, all-ceramic fixed dental prostheses, determined the effects of (1) presence of a tooth distal to the most distal retainer; (2) prosthesis loading either along the non-load bearing or load bearing areas; (3) presence of excursive contacts or maximum intercuspation contacts in the prosthesis; and (4) magnitude of bite force on the occurrence of veneer ceramic fracture. Methods 89 implant-supported FDPs were randomized as either a three-unit posterior metal-ceramic (Au-Pd-Ag alloy and InLine POM, Ivoclar, Vivadent) FDP or a ceramic-ceramic (ZirCAD and ZirPress, Ivoclar, Vivadent) FDP. Two implants (Osseospeed, Dentsply) and custom abutments (Atlantis, Dentsply) supported these FDPs, which were cemented with resin cement (RelyX Universal Cement). Baseline photographs were made with markings of teeth from maximum intercuspation (MI) and excursive function. Patients were recalled at 6 months and 1 to 3 years. Fractures were observed, their locations recorded, and images compared with baseline photographs of occlusal contacts. Conclusion No significant relationship exists between the occurrence of fracture and: (1) the magnitude of bite force; (2) a tooth distal to the most distal retainer; and (3) contacts in load-bearing or non-load-bearing areas. However, there was a significantly higher likelihood of fracture in areas with MI contacts only. Clinical Significance This clinical study demonstrates that there is a need to evaluate occlusion differently with implant-supported prostheses than with natural tooth supported prostheses because of the absence of a periodontal ligament. Implant supported prostheses should have minimal occlusion and

Examining construct and predictive validity of the Health-IT Usability Evaluation Scale: confirmatory factor analysis and structural equation modeling results

PubMed Central

Yen, Po-Yin; Sousa, Karen H; Bakken, Suzanne

2014-01-01

Background In a previous study, we developed the Health Information Technology Usability Evaluation Scale (Health-ITUES), which is designed to support customization at the item level. Such customization matches the specific tasks/expectations of a health IT system while retaining comparability at the construct level, and provides evidence of its factorial validity and internal consistency reliability through exploratory factor analysis. Objective In this study, we advanced the development of Health-ITUES to examine its construct validity and predictive validity. Methods The health IT system studied was a web-based communication system that supported nurse staffing and scheduling. Using Health-ITUES, we conducted a cross-sectional study to evaluate users’ perception toward the web-based communication system after system implementation. We examined Health-ITUES's construct validity through first and second order confirmatory factor analysis (CFA), and its predictive validity via structural equation modeling (SEM). Results The sample comprised 541 staff nurses in two healthcare organizations. The CFA (n=165) showed that a general usability factor accounted for 78.1%, 93.4%, 51.0%, and 39.9% of the explained variance in ‘Quality of Work Life’, ‘Perceived Usefulness’, ‘Perceived Ease of Use’, and ‘User Control’, respectively. The SEM (n=541) supported the predictive validity of Health-ITUES, explaining 64% of the variance in intention for system use. Conclusions The results of CFA and SEM provide additional evidence for the construct and predictive validity of Health-ITUES. The customizability of Health-ITUES has the potential to support comparisons at the construct level, while allowing variation at the item level. We also illustrate application of Health-ITUES across stages of system development. PMID:24567081

Factor analysis and psychometric properties of the Mother-Adolescent Sexual Communication (MASC) instrument for sexual risk behavior.

PubMed

Cox, Mary Foster; Fasolino, Tracy K; Tavakoli, Abbas S

2008-01-01

Sexual risk behavior is a public health problem among adolescents living at or below poverty level. Approximately 1 million pregnancies and 3 million cases of sexually transmitted infections (STIs) are reported yearly. Parenting plays a significant role in adolescent behavior, with mother-adolescent sexual communication correlated with absent or delayed sexual behavior. This study developed an instrument examining constructs of mother-adolescent communication, the Mother-Adolescent Sexual Communication (MASC) instrument. A convenience sample of 99 mothers of middle school children completed the self-administered questionnaires. The original 34-item MASC was reduced to 18 items. Exploratory factor analysis was conducted on the 18-item scale, which resulted in four factors explaining 84.63% of the total variance. Internal consistency analysis produced Cronbach alpha coefficients of .87, .90, .82, and .71 for the four factors, respectively. Convergent validity via hypothesis testing was supported by significant correlations with several subscales of the Parent-Child Relationship Questionnaire (PCRQ) with MASC factors, that is, content and style factors with warmth, personal relationships and disciplinary warmth subscales of the PCRQ, the context factor with personal relationships, and the timing factor with warmth. In light of these findings, the psychometric characteristics and multidimensional perspective of the MASC instrument show evidence of usefulness for measuring and advancing knowledge of mother and adolescent sexual communication techniques.

Analysis of nasopharyngeal carcinoma risk factors with Bayesian networks.

PubMed

Aussem, Alex; de Morais, Sérgio Rodrigues; Corbex, Marilys

2012-01-01

We propose a new graphical framework for extracting the relevant dietary, social and environmental risk factors that are associated with an increased risk of nasopharyngeal carcinoma (NPC) on a case-control epidemiologic study that consists of 1289 subjects and 150 risk factors. This framework builds on the use of Bayesian networks (BNs) for representing statistical dependencies between the random variables. We discuss a novel constraint-based procedure, called Hybrid Parents and Children (HPC), that builds recursively a local graph that includes all the relevant features statistically associated to the NPC, without having to find the whole BN first. The local graph is afterwards directed by the domain expert according to his knowledge. It provides a statistical profile of the recruited population, and meanwhile helps identify the risk factors associated to NPC. Extensive experiments on synthetic data sampled from known BNs show that the HPC outperforms state-of-the-art algorithms that appeared in the recent literature. From a biological perspective, the present study confirms that chemical products, pesticides and domestic fume intake from incomplete combustion of coal and wood are significantly associated with NPC risk. These results suggest that industrial workers are often exposed to noxious chemicals and poisonous substances that are used in the course of manufacturing. This study also supports previous findings that the consumption of a number of preserved food items, like house made proteins and sheep fat, are a major risk factor for NPC. BNs are valuable data mining tools for the analysis of epidemiologic data. They can explicitly combine both expert knowledge from the field and information inferred from the data. These techniques therefore merit consideration as valuable alternatives to traditional multivariate regression techniques in epidemiologic studies. Copyright © 2011 Elsevier B.V. All rights reserved.

Factors supporting good partnership working between generalist and specialist palliative care services: a systematic review.

PubMed

Gardiner, Clare; Gott, Merryn; Ingleton, Christine

2012-05-01

The care that most people receive at the end of their lives is provided not by specialist palliative care professionals but by generalists such as GPs, district nurses and others who have not undertaken specialist training in palliative care. A key focus of recent UK policy is improving partnership working across the spectrum of palliative care provision. However there is little evidence to suggest factors which support collaborative working between specialist and generalist palliative care providers. To explore factors that support partnership working between specialist and generalist palliative care providers. Systematic review. A systematic review of studies relating to partnership working between specialist and generalist palliative care providers was undertaken. Six electronic databases were searched for papers published up until January 2011. Of the 159 articles initially identified, 22 papers met the criteria for inclusion. Factors supporting good partnership working included: good communication between providers; clear definition of roles and responsibilities; opportunities for shared learning and education; appropriate and timely access to specialist palliative care services; and coordinated care. Multiple examples exist of good partnership working between specialist and generalist providers; however, there is little consistency regarding how models of collaborative working are developed, and which models are most effective. Little is known about the direct impact of collaborative working on patient outcomes. Further research is required to gain the direct perspectives of health professionals and patients regarding collaborative working in palliative care, and to develop appropriate and cost-effective models for partnership working.

University student depression inventory (USDI): confirmatory factor analysis and review of psychometric properties.

PubMed

Romaniuk, Madeline; Khawaja, Nigar G

2013-09-25

The 30-item USDI is a self-report measure that assesses depressive symptoms among university students. It consists of three correlated three factors: lethargy, cognitive-emotional and academic motivation. The current research used confirmatory factor analysis to asses construct validity and determine whether the original factor structure would be replicated in a different sample. Psychometric properties were also examined. Participants were 1148 students (mean age 22.84 years, SD=6.85) across all faculties from a large Australian metropolitan university. Students completed a questionnaire comprising of the USDI, the depression anxiety stress scale (DASS) and Life Satisfaction Scale (LSS). The three correlated factor model was shown to be an acceptable fit to the data, indicating sound construct validity. Internal consistency of the scale was also demonstrated to be sound, with high Cronbach alpha values. Temporal stability of the scale was also shown to be strong through test-retest analysis. Finally, concurrent and discriminant validity was examined with correlations between the USDI and DASS subscales as well as the LSS, with sound results further supporting the construct validity of the scale. Cut-off points were also developed to aid total score interpretation. Response rates are unclear. In addition, the representativeness of the sample could be improved potentially through targeted recruitment (i.e. reviewing the online sample statistics during data collection, examining the representativeness trends and addressing particular faculties within the university that were underrepresented). The USDI provides a valid and reliable method of assessing depressive symptoms found among university students. © 2013 Elsevier B.V. All rights reserved.

Validation of the Malay Version of the Parental Bonding Instrument among Malaysian Youths Using Exploratory Factor Analysis

PubMed Central

MUHAMMAD, Noor Azimah; SHAMSUDDIN, Khadijah; OMAR, Khairani; SHAH, Shamsul Azhar; MOHD AMIN, Rahmah

2014-01-01

Background: Parenting behaviour is culturally sensitive. The aims of this study were (1) to translate the Parental Bonding Instrument into Malay (PBI-M) and (2) to determine its factorial structure and validity among the Malaysian population. Methods: The PBI-M was generated from a standard translation process and comprehension testing. The validation study of the PBI-M was administered to 248 college students aged 18 to 22 years. Results: Participants in the comprehension testing had difficulty understanding negative items. Five translated double negative items were replaced with five positive items with similar meanings. Exploratory factor analysis showed a three-factor model for the PBI-M with acceptable reliability. Four negative items (items 3, 4, 8, and 16) and item 19 were omitted from the final PBI-M list because of incorrect placement or low factor loading (< 0.32). Out of the final 20 items of the PBI-M, there were 10 items for the care factor, five items for the autonomy factor and five items for the overprotection factor. All the items loaded positively on their respective factors. Conclusion: The Malaysian population favoured positive items in answering questions. The PBI-M confirmed the three-factor model that consisted of care, autonomy and overprotection. The PBI-M is a valid and reliable instrument to assess the Malaysian parenting style. Confirmatory factor analysis may further support this finding. Keywords: Malaysia, parenting, questionnaire, validity PMID:25977634

Support of the supporters.

PubMed

Stiefel, F

2008-02-01

A growing body of evidence indicates that health care professionals working with severely ill patients are in need of support. Beside "external" factors, such as heavy clinical patient volume or administrative duties, "intra-psychic stressors," related to the inner significance of contextual factors, are an important source of clinician's distress. Identification of and working through intrapsychic stressors can considerably reduce psychological distress and thus provide effective and long-lasting support of the oncology clinician. This article discusses key elements of intra-psychic stressors, namely (1) emotions towards the patient, (2) awareness of own limits, (3) confusion about empathy, identification, counter-transference and collusion, (4) the influence of early development and life trajectory on career choices and professional identity and (5) the conflicting roles a health care professional being in need of support has to face.

Psychosocial risk and protective factors for depression in the dialysis population: a systematic review and meta-regression analysis.

PubMed

Chan, Ramony; Steel, Zachary; Brooks, Robert; Heung, Tracy; Erlich, Jonathan; Chow, Josephine; Suranyi, Michael

2011-11-01

Research into the association between psychosocial factors and depression in End-Stage Renal Disease (ESRD) has expanded considerably in recent years identifying a range of factors that may act as important risk and protective factors of depression for this population. The present study provides the first systematic review and meta-analysis of this body of research. Published studies reporting associations between any psychosocial factor and depression were identified and retrieved from Medline, Embase, and PsycINFO, by applying optimised search strategies. Mean effect sizes were calculated for the associations across five psychosocial constructs (social support, personality attributes, cognitive appraisal, coping process, stress/stressor). Multiple hierarchical meta-regression analysis was applied to examine the moderating effects of methodological and substantive factors on the strength of the observed associations. 57 studies covering 58 independent samples with 5956 participants were identified, resulting in 246 effect sizes of the association between a range of psychosocial factors and depression. The overall mean effect size (Pearsons correlation coefficient) of the association between psychosocial factor and depression was 0.36. The effect sizes between the five psychosocial constructs and depression ranged from medium (0.27) to large levels (0.46) with personality attributes (0.46) and cognitive appraisal (0.46) having the largest effect sizes. In the meta-regression analyses, identified demographic (gender, age, location of study) and treatment (type of dialysis) characteristics moderated the strength of the associations with depression. The current analysis documents a moderate to large association between the presence of psychosocial risk factors and depression in ESRD. 2011. Published by Elsevier Inc. All rights reserved.

Integrated Cost Analysis Teams: How ICATs Support Better Buying Power 2.0

DTIC Science & Technology

2014-06-01

and its procuring contracting officer ( PCO ) with a supportable and sustainable starting position for negotiation. The ICAT can deliver full pricing...proposals as well, arming the PCO with an all-encompassing report. Requesting DCMA assistance is straightforward. The cus- tomer receives a proposal in...any level of support needed to assist the PCO . Conversely, if the schedule is the determining factor, the ICAT can tailor the scope to meet the

Risk Factors Associated with Default from Multi- and Extensively Drug-Resistant Tuberculosis Treatment, Uzbekistan: A Retrospective Cohort Analysis

PubMed Central

Lalor, Maeve K.; Greig, Jane; Allamuratova, Sholpan; Althomsons, Sandy; Tigay, Zinaida; Khaemraev, Atadjan; Braker, Kai; Telnov, Oleksander; du Cros, Philipp

2013-01-01

Background The Médecins Sans Frontières project of Uzbekistan has provided multidrug-resistant tuberculosis treatment in the Karakalpakstan region since 2003. Rates of default from treatment have been high, despite psychosocial support, increasing particularly since programme scale-up in 2007. We aimed to determine factors associated with default in multi- and extensively drug-resistant tuberculosis patients who started treatment between 2003 and 2008 and thus had finished approximately 2 years of treatment by the end of 2010. Methods A retrospective cohort analysis of multi- and extensively drug-resistant tuberculosis patients enrolled in treatment between 2003 and 2008 compared baseline demographic characteristics and possible risk factors for default. Default was defined as missing ≥60 consecutive days of treatment (all drugs). Data were routinely collected during treatment and entered in a database. Potential risk factors for default were assessed in univariate analysis using chi-square test and in multivariate analysis with logistic regression. Results 20% (142/710) of patients defaulted after a median of 6 months treatment (IQR 2.6–9.9). Factors associated with default included severity of resistance patterns (pre-extensively drug-resistant/extensively drug-resistant tuberculosis adjusted odds ratio 0.52, 95%CI: 0.31–0.86), previous default (2.38, 1.09–5.24) and age >45 years (1.77, 1.10–2.87). The default rate was 14% (42/294) for patients enrolled 2003–2006 and 24% (100/416) for 2007–2008 enrolments (p = 0.001). Conclusions Default from treatment was high and increased with programme scale-up. It is essential to ensure scale-up of treatment is accompanied with scale-up of staff and patient support. A successful first course of tuberculosis treatment is important; patients who had previously defaulted were at increased risk of default and death. The protective effect of severe resistance profiles suggests that understanding disease

Social Support and Peer Norms Scales for Physical Activity in Adolescents

PubMed Central

Ling, Jiying; Robbins, Lorraine B.; Resnicow, Ken; Bakhoya, Marion

2015-01-01

Objectives To evaluate psychometric properties of a Social Support and Peer Norms Scale in 5th-7th grade urban girls. Methods Baseline data from 509 girls and test-retest data from another 94 girls in the Midwestern US were used. Results Cronbach's alpha was .83 for the Social Support Scale and .72 for the Peer Norms Scale, whereas test-re-test reliability was .78 for both scales. Exploratory factor analysis suggested a single factor structure for the Social Support Scale, and a 3-factor structure for the Peer Norms Scale. Social support was correlated with accelerometer-measured physical activity (r = .13, p = .006), and peer norms (r = .50, p < .0001). Conclusions Both scales have adequate psychometric properties. PMID:25207514

Data analysis and software support for the Earth radiation budget experiment

NASA Technical Reports Server (NTRS)

Edmonds, W.; Natarajan, S.

1987-01-01

Computer programming and data analysis efforts were performed in support of the Earth Radiation Budget Experiment (ERBE) at NASA/Langley. A brief description of the ERBE followed by sections describing software development and data analysis for both prelaunch and postlaunch instrument data are presented.

Tool for Sizing Analysis of the Advanced Life Support System

NASA Technical Reports Server (NTRS)

Yeh, Hue-Hsie Jannivine; Brown, Cheryl B.; Jeng, Frank J.

2005-01-01

Advanced Life Support Sizing Analysis Tool (ALSSAT) is a computer model for sizing and analyzing designs of environmental-control and life support systems (ECLSS) for spacecraft and surface habitats involved in the exploration of Mars and Moon. It performs conceptual designs of advanced life support (ALS) subsystems that utilize physicochemical and biological processes to recycle air and water, and process wastes in order to reduce the need of resource resupply. By assuming steady-state operations, ALSSAT is a means of investigating combinations of such subsystems technologies and thereby assisting in determining the most cost-effective technology combination available. In fact, ALSSAT can perform sizing analysis of the ALS subsystems that are operated dynamically or steady in nature. Using the Microsoft Excel spreadsheet software with Visual Basic programming language, ALSSAT has been developed to perform multiple-case trade studies based on the calculated ECLSS mass, volume, power, and Equivalent System Mass, as well as parametric studies by varying the input parameters. ALSSAT s modular format is specifically designed for the ease of future maintenance and upgrades.

Conflicts of interest at medical journals: the influence of industry-supported randomised trials on journal impact factors and revenue - cohort study.

PubMed

Lundh, Andreas; Barbateskovic, Marija; Hróbjartsson, Asbjørn; Gøtzsche, Peter C

2010-10-26

transparency in reporting of conflict of interest is an increasingly important aspect of publication in medical journals. Publication of large industry-supported trials may generate many citations and journal income through reprint sales and thereby be a source of conflicts of interest for journals. We investigated industry-supported trials' influence on journal impact factors and revenue. we sampled six major medical journals (Annals of Internal Medicine, Archives of Internal Medicine, BMJ, JAMA, The Lancet, and New England Journal of Medicine [NEJM]). For each journal, we identified randomised trials published in 1996-1997 and 2005-2006 using PubMed, and categorized the type of financial support. Using Web of Science, we investigated citations of industry-supported trials and the influence on journal impact factors over a ten-year period. We contacted journal editors and retrieved tax information on income from industry sources. The proportion of trials with sole industry support varied between journals, from 7% in BMJ to 32% in NEJM in 2005-2006. Industry-supported trials were more frequently cited than trials with other types of support, and omitting them from the impact factor calculation decreased journal impact factors. The decrease varied considerably between journals, with 1% for BMJ to 15% for NEJM in 2007. For the two journals disclosing data, income from the sales of reprints contributed to 3% and 41% of the total income for BMJ and The Lancet in 2005-2006. publication of industry-supported trials was associated with an increase in journal impact factors. Sales of reprints may provide a substantial income. We suggest that journals disclose financial information in the same way that they require them from their authors, so that readers can assess the potential effect of different types of papers on journals' revenue and impact.

A Content Analysis of Communication Purposes in an Online Support Group

ERIC Educational Resources Information Center

Aitken, Joan E.

2008-01-01

The purpose of this article is to analyze parental use of an online support group about their children with disabilities. A content analysis was conducted of 1718 emails from a listserv support group for parents of children who have been diagnosed as eligible for special education services. Key topics included the following: How to deal with…

Positive Behavior Support and Applied Behavior Analysis

PubMed Central

Johnston, J.M; Foxx, Richard M; Jacobson, John W; Green, Gina; Mulick, James A

2006-01-01

This article reviews the origins and characteristics of the positive behavior support (PBS) movement and examines those features in the context of the field of applied behavior analysis (ABA). We raise a number of concerns about PBS as an approach to delivery of behavioral services and its impact on how ABA is viewed by those in human services. We also consider the features of PBS that have facilitated its broad dissemination and how ABA might benefit from emulating certain practices of the PBS movement. PMID:22478452

Teacher Professional Development to Support Teacher Professional Learning: Systemic Factors from Irish Case Studies

ERIC Educational Resources Information Center

King, Fiona

2016-01-01

Teacher professional learning is widely accepted as a mediating factor for enhancing student outcomes. While many teachers across the world engage in professional development (PD) to enhance their professional learning, what is less evident is how to support that learning to result in change following teacher PD. Acknowledging that not all teacher…

Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters.

PubMed

Plenis, Alina; Rekowska, Natalia; Bączek, Tomasz

2016-01-21

This article focuses on correlating the column classification obtained from the method created at the Katholieke Universiteit Leuven (KUL), with the chromatographic resolution attained in biomedical separation. In the KUL system, each column is described with four parameters, which enables estimation of the FKUL value characterising similarity of those parameters to the selected reference stationary phase. Thus, a ranking list based on the FKUL value can be calculated for the chosen reference column, then correlated with the results of the column performance test. In this study, the column performance test was based on analysis of moclobemide and its two metabolites in human plasma by liquid chromatography (LC), using 18 columns. The comparative study was performed using traditional correlation of the FKUL values with the retention parameters of the analytes describing the column performance test. In order to deepen the comparative assessment of both data sets, factor analysis (FA) was also used. The obtained results indicated that the stationary phase classes, closely related according to the KUL method, yielded comparable separation for the target substances. Therefore, the column ranking system based on the FKUL-values could be considered supportive in the choice of the appropriate column for biomedical analysis.

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

PubMed

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

2003-07-01

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

A replication of a factor analysis of motivations for trapping

USGS Publications Warehouse

Schroeder, Susan; Fulton, David C.

2015-01-01

Using a 2013 sample of Minnesota trappers, we employed confirmatory factor analysis to replicate an exploratory factor analysis of trapping motivations conducted by Daigle, Muth, Zwick, and Glass (1998).  We employed the same 25 items used by Daigle et al. and tested the same five-factor structure using a recent sample of Minnesota trappers. We also compared motivations in our sample to those reported by Daigle et el.

Are Facebook "Friends" Helpful? Development of a Facebook-Based Measure of Social Support and Examination of Relationships Among Depression, Quality of Life, and Social Support.

PubMed

McCloskey, Wilfred; Iwanicki, Sierra; Lauterbach, Dean; Giammittorio, David M; Maxwell, Kendal

2015-09-01

Greater social support is predictive of lower depression and higher quality of life (QOL). However, the way in which social support is provided has changed greatly with the expanding role of social networking sites (e.g., Facebook). While there are numerous anecdotal accounts of the benefits of Facebook-based social support, little empirical evidence exists to support these assertions, and there are no empirically validated measures designed to assess social support provided via this unique social networking medium. This study sought to develop an empirically sound measure of Facebook-based social support (Facebook Measure of Social Support [FMSS]) and to assess how this new measure relates to previously established measures of support and two outcome variables: depression and QOL. Following exploratory factor analysis, the FMSS was determined to assess four factors of social support on Facebook (Perceived, Emotional, Negative, Received/Instrumental). The Negative Support factor on the FMSS was most strongly related to both depression and QOL with magnitudes (and direction of relationships) comparable to a traditional measure of perceived social support. However, two FMSS factors (Received/Instrumental and Perceived) were unrelated to both mental health outcomes. Contrary to expectations, elevations in one FMSS factor (Emotional) was associated with worse symptoms of depression and poorer psychological QOL. When taken together, only the absence of negative social support on Facebook is significantly predictive of mental health functioning. Consequently, those hoping to use Facebook as a medium for reducing depression or improving QOL are unlikely to realize significant therapeutic benefits.

Socio-Demographic Factors, Social Support, Quality of Life, and HIV/AIDS in Ghana.

PubMed

Abrefa-Gyan, Tina; Cornelius, Llewellyn J; Okundaye, Joshua

2016-01-01

The increase in the access to biomedical interventions for people living with HIV/AIDS in the developing world has not been adequately matched with the requisite psychosocial treatments to help improve the effectiveness of biomedical interventions. Therefore, in this study the author seeks to determine whether socio-demographic characteristics and social support are associated with quality of life in individuals diagnosed with HIV/AIDS in Ghana. A convenience sample of 300 HIV/AIDS support group members was obtained via cross-sectional design survey. The Medical Outcome Studies (MOS) HIV Health Survey, the MOS Social Support Survey (MOS-SSS), and demographic questionnaire instruments were used to assess quality of life, social support, and demographic information respectively. Multiple regression analysis showed that there was a positive association between overall social support and overall quality of life (r = .51). It also showed that being younger, male, attending support group meetings for over a year, and having ≥ 13 years of schooling related to higher quality of life. Implications of the findings for practice, policy, and research in Ghana and the rest of the developing world are discussed.

Discrepancies Between the Supports Needed for Discharge of Patients With Terminal Cancer to Family Caregivers and What Supports Were Actually Provided in Japan: Assessment of Palliative Care Unit Nurses.

PubMed

Oosono, Yasufumi; Yokoyama, Kazuhito; Itoh, Hiroaki; Enomoto, Miyuki; Ishiwata, Miki

2018-04-01

Even if patients with terminal cancer hope to spend the rest of their lives at home, they are often unable to leave the hospital early due to their family caregivers' anxiety. This study aimed to investigate in Japan the discrepancies between the supports needed by and actually provided by palliative care unit nurses (PCUNs) to the family caregivers for discharge of patients with terminal cancer. In this cross-sectional study, self-administered questionnaires including 6-point Likert-type scales assessing the reasons for difficulties in transition to home-based care were distributed to 1227 PCUNs. Using paired t tests, the differences between the scores on perceived importance and actual supports to family caregivers were examined. The supports actually provided were classified by factor analysis. The relationships between the PCUNs' characteristics and mean scores on the supports in each category were examined using multiple regression analysis. A total of 1023 (83.4%) completed questionnaires were returned. Scores on the actually provided supports for discharge to family caregivers were consistently and significantly lower than the corresponding scores on perceived importance for all 57 items ( P < .001). Factor analysis revealed that the supports actually provided to the family caregivers had a 4-factor structure. Multiple regression analyses revealed that gaining experience in palliative care, receiving necessary training, cooperating with palliative care staff, and cooperating with local service providers were significantly associated with higher levels of actual supply of supports to family caregivers. Our findings suggest that PCUNs need to be encouraged to provide further support to family caregivers for the discharge of patients with terminal cancer.

On the Relations among Regular, Equal Unique Variances, and Image Factor Analysis Models.

ERIC Educational Resources Information Center

Hayashi, Kentaro; Bentler, Peter M.

2000-01-01

Investigated the conditions under which the matrix of factor loadings from the factor analysis model with equal unique variances will give a good approximation to the matrix of factor loadings from the regular factor analysis model. Extends the results to the image factor analysis model. Discusses implications for practice. (SLD)

Bioinformatics Identification of Modules of Transcription Factor Binding Sites in Alzheimer's Disease-Related Genes by In Silico Promoter Analysis and Microarrays

PubMed Central

Augustin, Regina; Lichtenthaler, Stefan F.; Greeff, Michael; Hansen, Jens; Wurst, Wolfgang; Trümbach, Dietrich

2011-01-01

The molecular mechanisms and genetic risk factors underlying Alzheimer's disease (AD) pathogenesis are only partly understood. To identify new factors, which may contribute to AD, different approaches are taken including proteomics, genetics, and functional genomics. Here, we used a bioinformatics approach and found that distinct AD-related genes share modules of transcription factor binding sites, suggesting a transcriptional coregulation. To detect additional coregulated genes, which may potentially contribute to AD, we established a new bioinformatics workflow with known multivariate methods like support vector machines, biclustering, and predicted transcription factor binding site modules by using in silico analysis and over 400 expression arrays from human and mouse. Two significant modules are composed of three transcription factor families: CTCF, SP1F, and EGRF/ZBPF, which are conserved between human and mouse APP promoter sequences. The specific combination of in silico promoter and multivariate analysis can identify regulation mechanisms of genes involved in multifactorial diseases. PMID:21559189

Computer-Mediated Social Support for Physical Activity: A Content Analysis.

PubMed

Stragier, Jeroen; Mechant, Peter; De Marez, Lieven; Cardon, Greet

2018-02-01

Online fitness communities are a recent phenomenon experiencing growing user bases. They can be considered as online social networks in which recording, monitoring, and sharing of physical activity (PA) are the most prevalent practices. They have added a new dimension to the social experience of PA in which online peers function as virtual PA partners or supporters. However, research into seeking and receiving computer-mediated social support for PA is scarce. Our aim was to study to what extent using online fitness communities and sharing physical activities with online social networks results in receiving various types of online social support. Two databases, one containing physical activities logged with Strava and one containing physical activities logged with RunKeeper and shared on Twitter, were investigated for occurrence and type of social support, by means of a deductive content analysis. Results indicate that social support delivered through Twitter is not particularly extensive. On Strava, social support is significantly more prevalent. Especially esteem support, expressed as compliments for the accomplishment of an activity, is provided on both Strava and Twitter. The results demonstrate that social media have potential as a platform used for providing social support for PA, but differences among various social network sites can be substantial. Especially esteem support can be expected, in contrast to online health communities, where information support is more common.

Supporting Space Systems Design via Systems Dependency Analysis Methodology

NASA Astrophysics Data System (ADS)

Guariniello, Cesare

assess the behavior of each system based on its internal status and on the topology of its dependencies on systems connected to it. Designers and decision makers can therefore quickly analyze and explore the behavior of complex systems and evaluate different architectures under various working conditions. The methods support educated decision making both in the design and in the update process of systems architecture, reducing the need to execute extensive simulations. In particular, in the phase of concept generation and selection, the information given by the methods can be used to identify promising architectures to be further tested and improved, while discarding architectures that do not show the required level of global features. The methods, when used in conjunction with appropriate metrics, also allow for improved reliability and risk analysis, as well as for automatic scheduling and re-scheduling based on the features of the dependencies and on the accepted level of risk. This dissertation illustrates the use of the two methods in sample aerospace applications, both in the operational and in the developmental domain. The applications show how to use the developed methodology to evaluate the impact of failures, assess the criticality of systems, quantify metrics of interest, quantify the impact of delays, support informed decision making when scheduling the development of systems and evaluate the achievement of partial capabilities. A larger, well-framed case study illustrates how the Systems Operational Dependency Analysis method and the Systems Developmental Dependency Analysis method can support analysis and decision making, at the mid and high level, in the design process of architectures for the exploration of Mars. The case study also shows how the methods do not replace the classical systems engineering methodologies, but support and improve them.