scholarly journals Psychometric Evaluation of the Differentiation of Self Inventory-Revised and Mental Health Inventory-18 for Filipinos

2020 ◽  
Author(s):  
Benedict Guzman Antazo
Keyword(s):  
Mental Health ◽  
Factor Model ◽  
Differentiation Of Self ◽  
Psychometric Evaluation ◽  
Future Research ◽  
Regression Analyses ◽  
General Mental Health ◽  
Exploratory Factor Analyses ◽  
Self Differentiation ◽  
Differentiation Of Self Inventory

The purpose of this study was to evaluate the psychometric properties and cross-cultural validity of the Differentiation of Self Inventory-Revised (Skowron & Schmitt, 2003) and Mental Health Inventory-18 (Veit & Ware, 1983) and to determine whether the Bowenian construct of differentiation could predict general mental health. In a sample of 322 Filipino adults, exploratory factor analyses and regression analyses were performed to determine the construct validity and strength of associations between the two concepts. Results of the EFA suggested a new three-factor model (3F-DSI-R) for the DSI-R while supporting the original two-factor model of the MHI-18. Regression analyses indicated that self-differentiation and its dimensions are significant predictors of mental health. Findings suggest that highly differentiated individuals tend to display better overall mental health. Lastly, implications for theory, practice, and directions for future research are discussed.

scholarly journals Instrument to Measure Health Literacy About Complementary and Alternative Medicine

2014 ◽  
Vol 22 (3) ◽  
pp. 489-499 ◽  
Author(s):  
Jean Shreffler-Grant ◽  
Clarann Weinert ◽  
Elizabeth Nichols
Keyword(s):  
Health Literacy ◽  
Alternative Medicine ◽  
Complementary And Alternative Medicine ◽  
Convergent Validity ◽  
Psychometric Evaluation ◽  
Future Research ◽  
State University ◽  
Montana State University ◽  
Exploratory Factor Analyses ◽  
Complementary And Alternative

Background and Purpose: Health literacy is an essential skill for today’s health care consumers. The growth in use of complementary and alternative medicine (CAM) adds to the complexity of being sufficiently health literate. The purpose of this article is to describe the initial psychometric evaluation of the “Montana State University (MSU) CAM Health Literacy Scale,” a newly developed instrument to measure an individual’s health literacy about CAM. Methods: Exploratory factor analyses, reliabilities, and conceptual considerations were used. Results: The outcome is a 21-item instrument with Cronbach’s alpha of .753 and 42.27% explained variance. Convergent validity assessments revealed weak but significant correlations between the scale and measures of general health literacy. Conclusions: The MSU CAM Health Literacy Scale has promise for use in future research and clinical endeavors.

Self-Differentiation within Couples

1998 ◽  
Vol 83 (1) ◽  
pp. 275-279 ◽  
Author(s):  
Robert B. Kosek
Keyword(s):  
Sex Differences ◽  
Emotional Reactivity ◽  
Differentiation Of Self ◽  
Heterosexual Couples ◽  
Self Differentiation ◽  
Differentiation Of Self Inventory

Sex differences and similarities among spouses on differentiation of self were evaluated for 108 heterosexual couples who completed the Differentiation of Self Inventory 2 of Skowron. Four scores on self-differentiation were assessed, emotional reactivity, emotion cutoff, “I” position, and fusion with others. Significant sex differences were found on all subscales. Women tended to express their state of emotionality by engaging with their partners via emotional reactivity, whereas men tended to express their state of emotionality by disengaging from their partners. Women scored lower on adherence to their convictions or beliefs than their spouses. Moreover, the results were not supportive of similarities of self-differentiation among spouses as posited by Bowen.

scholarly journals Online Learning in the Era of COVID-19: Computer Anxiety and Mental Health Among College Students

2021 ◽  
Vol 7 (1) ◽  
pp. 36-50
Author(s):  
Nahal Salimi ◽  
Bryan Gere
Keyword(s):  
Mental Health ◽  
Online Learning ◽  
Computer Anxiety ◽  
Academic Discipline ◽  
Developed Countries ◽  
Cross Sectional Study ◽  
Future Research ◽  
Cross Sectional ◽  
Poor General Health ◽  
General Mental Health

The recent outbreak of the coronavirus (COVID-19) pandemic has brought significant changes to higher education. In response to the pandemic, many colleges, and universities around the world, especially in developed countries, are embracing online or distance education. Transitioning to online learning that involves the use of information technology such as the internet and digital platform for course delivery has increased dramatically (World Economic Forum, 2020). However, these sudden changes have left some to speculate that the shift to online learning will change students’ level of anxiety, stress, which could result in poor academic performance and low achievement of learning objectives. The purpose of this descriptive cross-sectional study is to investigate undergraduate and graduate students’ perceptions of their mental health and computer anxiety in the era of the COVID-19 pandemic. Descriptive statistics such as simple percentages and averages were calculated. Also, a one-way ANOVA was used for analyzing the collected data. Results indicate that general mental health was significantly correlated with computer anxiety. The results also indicate that computer anxiety and perceived stress predicted poor general health. Demographic factors, such as sex, and academic discipline were significant predictors of computer anxiety, but age was not a significant predictor of computer anxiety. Also, the results show that chronic physical disabilities are a significant predictor of computer anxiety, and overall mental health, however, the presence of learning disabilities was not a significant predictor of computer anxiety. Implications and considerations for future research are discussed.

scholarly journals Evaluating the Longitudinal Item and Category Stability of the SF-36 Full and Summary Scales Using Rasch Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-30 ◽  
Author(s):  
Reinie Cordier ◽  
Ted Brown ◽  
Lindy Clemson ◽  
Julie Byles
Keyword(s):  
Mental Health ◽  
Rasch Analysis ◽  
Short Form ◽  
Psychometric Evaluation ◽  
Measurement Model ◽  
Test Theory ◽  
Future Research ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
Sf 36

Introduction. The Medical Outcome Study Short Form 36 (SF-36) is widely used for measuring Health-Related Quality of Life (HRQoL) and has undergone rigorous psychometric evaluation using Classic Test Theory (CTT). However, Item Response Theory-based evaluation of the SF-36 has been limited with an overwhelming focus on individual scales and cross-sectional data. Purpose. This study aimed to examine the longitudinal item and category stability of the SF-36 using Rasch analysis. Method. Using data from the 1921-1926 cohort of the Australian Longitudinal Study on Women’s Health, responses of the SF-36 from six waves of data collection were analysed. Rasch analysis using Winsteps version 3.92.0 was performed on all 36 items of the SF-36 and items that constitute the physical health and mental health scales. Results. Rasch analysis revealed issues with the SF-36 not detected using classical methods. Redundancy was seen for items on the total measure and both scales across all waves of data. Person separation indexes indicate that the measure lacks sensitivity to discriminate between high and low performances in this sample. The presence of Differential Item Functioning suggests that responses to items were influenced by locality and marital status. Conclusion. Previous evaluations of the SF-36 have relied on cross-sectional data; however, the findings of the current study demonstrate the longitudinal efficacy of the measure. Application of the Rasch Measurement Model indicated issues with internal consistency, generalisability, and sensitivity when the measure was evaluated as a whole and as both physical and mental health summary scales. Implications for future research are discussed.

A Psychometric Evaluation of the Career Decision Self-Efficacy Scale–Short Form Among French University Students

2011 ◽  
Vol 19 (4) ◽  
pp. 420-430 ◽  
Author(s):  
Jean-Philippe Gaudron
Keyword(s):  
University Students ◽  
Self Efficacy ◽  
Factor Model ◽  
Short Form ◽  
High Reliability ◽  
Five Factor Model ◽  
Psychometric Evaluation ◽  
Career Decision ◽  
Future Research ◽  
Goal Selection

The purpose of the present study was to examine the reliability and the factor structure of the Career Decision Self-Efficacy Scale–Short Form (CDSES-SF) among French university students. Based on a sample of 650 respondents, the alpha coefficients indicated high reliability for total scores but not for the subscale scores with values of .70 and below. The test–retest reliability of the total scores was .81. The original and theoretical five-factor model demonstrated inadequate model fit. A four-factor model, which fixed 18 items to load only on latent factors labelled Goal Selection, Problem Solving, Information Gathering, and Goal Pursuit Management, provided an acceptable fit to the data. The results are discussed in the light of previous studies; suggestions for future research are proposed.

scholarly journals Latent Variables Quantifying Neighborhood Characteristics and Their Associations with Poor Mental Health

2021 ◽  
Vol 18 (3) ◽  
pp. 1202
Author(s):  
Katherine L. Forthman ◽  
Janna M. Colaizzi ◽  
Hung-wen Yeh ◽  
Rayus Kuplicki ◽  
Martin P. Paulus
Keyword(s):  
Mental Health ◽  
Factor Analysis ◽  
African Americans ◽  
Latent Variables ◽  
Factor Model ◽  
Five Factor Model ◽  
Demographic Data ◽  
Poor Mental Health ◽  
Future Research ◽  
Neighborhood Characteristics

Neighborhood characteristics can have profound impacts on resident mental health, but the wide variability in methodologies used across studies makes it difficult to reach a consensus as to the implications of these impacts. The aim of this study was to simplify the assessment of neighborhood influence on mental health. We used a factor analysis approach to reduce the multi-dimensional assessment of a neighborhood using census tracts and demographic data available from the American Community Survey (ACS). Multivariate quantitative characterization of the neighborhood was derived by performing a factor analysis on the 2011–2015 ACS data. The utility of the latent variables was examined by determining the association of these factors with poor mental health measures from the 500 Cities Project 2014–2015 data (2017 release). A five-factor model provided the best fit for the data. Each factor represents a complex multi-dimensional construct. However, based on heuristics and for simplicity we refer to them as (1) Affluence, (2) Singletons in Tract, (3) African Americans in Tract, (4) Seniors in Tract, and (5) Hispanics or Latinos in Tract. African Americans in Tract (with loadings showing larger numbers of people who are black, single moms, and unemployed along with fewer people who are white) and Affluence (with loadings showing higher income, education, and home value) were strongly associated with poor mental health (R2=0.67, R2=0.83). These findings demonstrate the utility of this factor model for future research focused on the relationship between neighborhood characteristics and resident mental health.

scholarly journals Relationships between various Person-Environment Fit types and employees’ mental health

2012 ◽  
Vol 25 (3) ◽  
pp. 557-570
Author(s):  
Jinkook Tak
Keyword(s):  
Mental Health ◽  
Life Satisfaction ◽  
Longitudinal Data ◽  
Survey Data ◽  
Future Research ◽  
Regression Analyses ◽  
Job Fit ◽  
Person Environment Fit ◽  
Initial Survey ◽  
Person Organization Fit

This study investigated the relationships between various person-environment fit types and employees' mental health with a longitudinal data. I collected an initial survey data from 901 employees who had been with their organizations for 6 months at most and whose current organizations were their first employers. Of these respondents, only 297 responded to the second survey, 6 months after the first. Among these employees, 80 who left their companies were deleted. The results of correlational analyses showed that among three types of fit, person-organization fit correlated more strongly with mental health, life satisfaction, and burnout on the first and second surveys rather than did person-job fit and person-supervisor fit. Results of regression analyses also showed similar results. The implications, limitations, and future research of this study were discussed.

scholarly journals Dimensions of neighborhood tracts and their associations with mental health problems

2019 ◽  
Author(s):  
Katherine L. Forthman ◽  
Hung-wen Yeh ◽  
Rayus Kuplicki ◽  
Martin P. Paulus
Keyword(s):  
Mental Health ◽  
African Americans ◽  
Latent Variables ◽  
Mental Health Problems ◽  
Factor Model ◽  
Five Factor Model ◽  
Poor Mental Health ◽  
Future Research ◽  
Neighborhood Characteristics ◽  
Dimensional Assessment

AbstractObjectiveNeighborhood characteristics can have profound effects on resident health. The aim of this study was to use an unsupervised learning approach to reduce the multi-dimensional assessment of a neighborhood using American Community Survey (ACS) data to simplify the assessment of neighborhood influence on health.MethodMultivariate quantitative characterization of the neighborhood was derived by performing a factor analysis on the 2011-2015 ACS data. The utility of the latent variables was examined by determining the association of these factors with poor mental health measures from the 500 Cities Project 2017 release.ResultsA five-factor model provided the best fit for the data and the latent factors quantified the following characteristics of the census tract: (1) affluence, (2) proportion of singletons in neighborhood, (3) proportion of African-Americans in neighborhood, (4) proportion of seniors in neighborhood, and (5) proportion of noncitizens in neighborhood. African-Americans (R2 = 0.67) in neighborhood and Affluence (R2 = 0.83) were strongly associated with poor mental health.ConclusionsThese findings indicate the importance of this factor model in future research focused on the relationship between neighborhood characteristics and resident health.

Psychometric evaluation of the polish students adaptation of the aggression questionnaire

2012 ◽  
Vol 43 (3) ◽  
pp. 183-190
Author(s):  
Maciej Krukowski ◽  
Danuta Kornafel ◽  
Maciej Oziembłowski
Keyword(s):  
Cultural Differences ◽  
Physical Aggression ◽  
Factor Model ◽  
Psychometric Evaluation ◽  
Cross Cultural ◽  
Prison Inmates ◽  
Factor Analyses ◽  
Cross Cultural Differences ◽  
Exploratory Factor Analyses ◽  
Aggression Questionnaire

The four-factor structure and psychometric properties of the Polish students adaptation of the Buss and Perry (1992) Aggression Questionnaire were investigated. The exploratory factor analyses of the responses of 604 Polish participants generally supported the four-factor model. The factors included Physical Aggression, Verbal Aggression, Anger and Hostility. The correlations between subscales, internal consistency and stability over time were evaluated and proved to be satisfactory. Apart from gender differences, 48 prison inmates and 48 students were interviewed to determine the validity of the Aggression Questionnaire by testing for hypothesized differences between groups. Aggression Questionnaire showed cross-cultural differences in aggression between various nations.

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