scholarly journals Psychometric properties and factor invariance for the General Health Questionnaire (GHQ-28): study in Peruvian population exposed to the COVID-19 pandemic

2020 ◽  
Author(s):  
Rita J. Ames-Guerrero ◽  
Victoria A. Barreda-Parra ◽  
Julio C. Huamani-Cahua
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Large Scale ◽  
High Reliability ◽  
General Health Questionnaire ◽  
Well Being ◽  
Screening Tools ◽  
Health Crisis ◽  
Wide Range ◽  
Confirmatory Factor

AbstractLarge-scale epidemics are known to significantly disrupt the mental health and perceived well-being of most populations. In spite of the wide range of screening tools, there are not many reliable and widespread tools for the identification of psychological symptoms in non-clinical populations during a health crisis.ObjectiveThe aim of this study was to conduct a psychometric analysis of the Goldberg’s GHQ-28 (1) through a sample of Peruvian adults using confirmatory factor analysis.Materials and methods434 individuals have been examined, studying the goodness and structure of the Goldberg GHQ-28 questionnaire.ResultWe found high reliability indicating optimal values (α by Cronbach = .829), also there are four correlated factors that show strict invariance among the 28 items. Confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) were used to examine the structure of the subscales. There are high levels of anxiety (X=1.01) and social dysfunction (X=1.21) in the assessed sampling.ConclusionThe factorial structure obtained in this study is similar to that originally described by the researchers involved in the original questionnaire. It is concluded that GHQ-28 is suitable to explore prevalence of psychopathologies in emergency contexts and social isolation for general non-psychiatric population.

scholarly journals Using Mindful Attention Awareness Scale on male prisoners: Confirmatory factor analysis and Rasch models

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254333
Author(s):  
Ali Poorebrahim ◽  
Chung-Ying Lin ◽  
Vida Imani ◽  
Shapour Soltankhah Kolvani ◽  
Seyed Abbas Alaviyoun ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
General Health Questionnaire ◽  
Well Being ◽  
Severity Index ◽  
Mindful Attention ◽  
Confirmatory Factor ◽  
Mindful Attention Awareness Scale ◽  
Male Prisoners

Aim This study tested the construct validity (i.e., factor structure) of the Persian Mindful Attention Awareness Scale (MAAS) on a sample of male prisoners. Methods All the participants (mean±SD age = 39.44±7.94 years) completed three scales—the Persian MAAS, the Insomnia Severity Index (ISI), and the 12-item General Health Questionnaire (GHQ-12). Confirmatory factor analysis (CFA) and Rasch analysis with differential item functioning (DIF) were applied to examine the construct validity of the MAAS. Specifically, the DIF was tested across different insomnia status (using ISI with a cutoff of 15), psychiatric well-being status (using GHQ-12 with a cutoff of 12), and age (using mean age of 39.44 as the cutoff). Results The CFA results showed a single factor solution for the Persian MAAS. The Rasch results showed all MAAS items fit in the construct (infit mean square [MnSq] = 0.72 to 1.41; outfit MnSq = 0.74 to 1.39) without displaying DIF items (DIF contrast = -0.34 to 0.31 for insomnia condition; -0.22 to 0.25 for psychiatric well-being; -0.26 to 0.29 for age). Conclusions The Persian version of the MAAS is, therefore, a valid instrument to measure mindfulness among Iranian male prisoners.

scholarly journals Validation of the Hedonic and Eudaimonic Motives for Activities-Revised Scale in Chinese Adults

2021 ◽  
Vol 18 (8) ◽  
pp. 3959
Author(s):  
Wenjie Li ◽  
Linting Zhang ◽  
Ning Jia ◽  
Feng Kong
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Predictive Validity ◽  
Factor Model ◽  
Well Being ◽  
Smartphone Addiction ◽  
Chinese Adults ◽  
Confirmatory Factor ◽  
Chinese Undergraduates

The Hedonic and Eudaimonic Motives for Activities-Revised scale (HEMA-R) is one of the most extensively used instruments to assess how people pursue well-being. The main aims of the present research were to translate HEMA-R into Chinese and test its construct and predictive validity as well as measurement invariance across gender. In Study 1, we conducted confirmatory factor analysis with data containing 1090 Chinese undergraduates, and replicated the two-factor model which has been found in other studies. Furthermore, the measurement invariance across gender was supported throughout the multi-group confirmatory factor analysis. Study 2 replicated these results and further found the HEMA-R had satisfactory predictive validity in measures of well-being, social support and smartphone addiction. All the findings indicate that the HEMA-R is reliable and valid to measure hedonic and eudaimonic motives, and it could be applied generally across gender in Chinese adults.

scholarly journals Validation Evidence for the Work Domain Satisfaction Scale in Two Languages

2016 ◽  
Vol 8 (3) ◽  
pp. 26 ◽  
Author(s):  
Nicole Bérubé ◽  
Magda B. L. Donia ◽  
Marylène Gagné ◽  
Nathalie Houlfort ◽  
Elena Lvina
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Organizational Commitment ◽  
Confirmatory Factor Analysis ◽  
Well Being ◽  
Affective Organizational Commitment ◽  
Domain Satisfaction ◽  
Satisfaction Scale ◽  
Confirmatory Factor ◽  
Work Domain

<p>We used the samples of six studies to validate the Work Domain Satisfaction Scale (WDSS), a global, five-item and mid-level measure of work domain well-being. English and French versions of the scale were included in the studies to assess the stability of the instrument across these languages. Confirmatory factor analysis yielded a one-factor structure, which was shown invariant across languages and samples. Test-retest reliability of the scale was high, indicating that it measures a stable construct over time. Confirmatory factor analysis also provided evidence that satisfaction with work, measured with the WDSS, is related, but conceptually and empirically distinct from both life satisfaction and job satisfaction. The WDSS was also correlated in predictable ways with affective organizational commitment, a measure of how attached people are to their organizations. Work domain satisfaction also explained a significant amount of variance in affective organizational commitment, beyond job satisfaction. Moreover, the WDSS was positively related to inclusion of work into the self, a psychological variable that reflects the importance of work in the lives of individuals. The results indicate that the WDSS is a reliable, stable, and valid mid-level measure of satisfaction with work as a domain within people’s lives.</p>

scholarly journals Is valuing happiness associated with lower well-being? A factor-level analysis using the valuing happiness scale

2016 ◽  
Author(s):  
Maike Luhmann ◽  
Elizabeth A. Necka ◽  
Felix D. Schönbrodt ◽  
Louise Hawkley
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Theoretical Foundation ◽  
Well Being ◽  
The Other ◽  
Factor Level ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Using Data ◽  
Level Analysis

Recent studies suggest that valuing happiness is negatively associated with well-being. Most of these studies used the Valuing Happiness Scale (Mauss, Tamir, et al., 2011). In the present paper, we examined the factor structure of this scale using data pooled from six independent samples (Ntotal = 938). Exploratory and confirmatory factor analysis showed that the Valuing Happiness Scale is not unidimensional and that only one of its three factors correlates negatively with various indicators of well-being, whereas non-significant or positive correlations were found for the other factors. These findings indicate that valuing happiness may not necessarily be bad for one’s well-being, and call for a better definition, theoretical foundation, and operationalization of this construct.

Maladaptive and Adaptive Cognitions About the Self and Others: Confirmatory Factor Analysis of the Brief Core Schemas Scales

2022 ◽  
pp. 003329412110636
Author(s):  
Bruno Faustino
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Well Being ◽  
The Self ◽  
Fit Indices ◽  
Portuguese Population ◽  
Dysfunctional Cognitions ◽  
Confirmatory Factor

The presence of dysfunctional cognitions about how individuals see themselves and others is a hallmark of psychopathology. The Brief Core Schemas Scale (BCSS) was developed to evaluate adaptive and dysfunctional beliefs about the self and others. This study describes the first psychometric analysis of the BCSS in the Portuguese population. Participants were recruited from community ( N = 320, Mage=27.31, DP = 12.75). Confirmatory factor analysis (CFA) was used to confirm the BCSS factorial structure. Four-factor model revealed moderate to adequate goodness-of-fit indices (χ2/df = 717.1, (246) p = .01; SRMR = .044; RMSEA = .077; CFI/TLI < .90). Negative views of the self and others correlated positively with early maladaptive schemas, distress, and symptomatology and correlated negatively with psychological well-being. An inversed correlational pattern was found with the positive views of the self and others. Despite the model's moderate adherence to the data, results suggest that the BCSS may be an asset in the assessment of dysfunctional and adaptive cognitions about the self and others. Further analysis is required to deepen the psychometric properties of the BCSS in the Portuguese population.

Developing an Instrument for E-Public Services’ Acceptance Using Confirmatory Factor Analysis

2012 ◽  
Vol 24 (3) ◽  
pp. 18-44 ◽  
Author(s):  
Ahmed Alzahrani ◽  
Bernd Carsten Stahl ◽  
Mary Prior
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Large Scale ◽  
Public Services ◽  
Equation Modeling ◽  
Data Sampling ◽  
Potential Cost ◽  
Confirmatory Factor

Governments worldwide spend billions from their allocated IT budgets to deliver convenient electronic services to their citizens. As a result, it is important to encourage citizens to use these services to avoid potential failures. Yet, few empirical studies exist that cover the relevant issues of adoption from the perspective of citizens in developing countries. Moreover, the need for a well-validated instrument to capture citizen adoption of such services is vital, given the vast investment in technology and the potential cost-saving implications. This study integrates elements from the most popular theories, including adoption technology acceptance model (TAM), innovation diffusion theory (IDT), and theory of planned behavior (TPB), in conjunction with web trust models. It develops an instrument to measure citizens’ acceptance of electronic public services by utilizing confirmatory factor analysis (CFA) within the structural equation modeling technique. Findings of a large scale data sampling of citizens in Saudi Arabia indicate that the proposed measurement model is an acceptable fit with the data. Overall, the findings supply a rigorous instrument for measuring citizens’ acceptance of e-public services, providing further insights for researchers and offering policy makers a suitable tool with which to study proposed strategies.

Psychometrics of the Gratitude Questionnaire-6 in African-Americans at Risk for Cardiovascular Disease

2020 ◽  
Vol 42 (12) ◽  
pp. 1148-1154
Author(s):  
Lakeshia Cousin ◽  
Laura Redwine ◽  
Christina Bricker ◽  
Kevin Kip ◽  
Harleah Buck
Keyword(s):  
At Risk ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Well Being ◽  
Divergent Validity ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Confirmatory Factor

Psychometrics of the Gratitude Questionnaire-6, which measures dispositional gratitude, was originally estimated in healthy college students. The purpose of this study was to examine the scales’ factor structure, convergent/divergent validity, and reliability among 298 AA adults at risk for CVD in the community. Analyses were performed using bivariate correlations, exploratory factor analysis, and confirmatory factor analysis. The scale demonstrated acceptable estimates for internal consistency (Cronbach’s α = 0.729). Our exploratory factor analysis results yielded a one-factor structure consistent with the original instrument, and the confirmatory factor analysis model was a good fit. Convergent/divergent validity was supported by the association with positive affect (coefficient = 0.482, 95% CI = [0.379, 0.573], spiritual well-being (coefficient = 0.608, 95% CI = [0.519, 0.685], and depressive symptoms (coefficient = −0.378, 95% CI = [−0.475, −0.277]. Findings supported the scale’s reliability and convergent/divergent validity among AAs at risk for CVD.

The Self-Transcendence Scale

2011 ◽  
Vol 30 (3) ◽  
pp. 147-159 ◽  
Author(s):  
Gørill Haugan ◽  
Toril Rannestad ◽  
Helge Garåsen ◽  
Randi Hammervold ◽  
Geir Arild Espnes
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Well Being ◽  
The Self ◽  
Mean Square ◽  
Confirmatory Factor ◽  
Self Transcendence ◽  
Fit Index

Purpose: Self-transcendence, the ability to expand personal boundaries in multiple ways, has been found to provide well-being. The purpose of this study was to examine the dimensionality of the Norwegian version of the Self-Transcendence Scale, which comprises 15 items. Background: Reed’s empirical nursing theory of self-transcendence provided the theoretical framework; self-transcendence includes an interpersonal, intrapersonal, transpersonal, and temporal dimension. Design: Cross-sectional data were obtained from a sample of 202 cognitively intact elderly patients in 44 Norwegian nursing homes. Results: Exploratory factor analysis revealed two and four internally consistent dimensions of self-transcendence, explaining 35.3% (two factors) and 50.7% (four factors) of the variance, respectively. Confirmatory factor analysis indicated that the hypothesized two- and four-factor models fitted better than the one-factor model (c x2, root mean square error of approximation, standardized root mean square residual, normed fit index, nonnormed fit index, comparative fit index, goodness-of-fit index, and adjusted goodness-of-fit index). Conclusions: The findings indicate self-transcendence as a multifactorial construct; at present, we conclude that the two-factor model might be the most accurate and reasonable measure of self-transcendence. Implications: This research generates insights in the application of the widely used Self-Transcendence Scale by investigating its psychometric properties by applying a confirmatory factor analysis. It also generates new research-questions on the associations between self-transcendence and well-being.

scholarly journals Psychometric Analysis of the Shortened Version of the Spiritual Well-Being Scale on the Slovak Population (SWBS-Sk)

2022 ◽  
Vol 19 (1) ◽  
pp. 511
Author(s):  
Peter Tavel ◽  
Bibiana Jozefiakova ◽  
Peter Telicak ◽  
Jana Furstova ◽  
Michal Puza ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Well Being ◽  
Psychometric Analysis ◽  
Final Version ◽  
Slovak Population ◽  
Confirmatory Factor ◽  
Spiritual Well Being

This study was focused on verifying the factor structure of the shortened version of the Spiritual Well-Being Scale (SWBS) on a representative sample of adult Slovak citizens (N = 1018, 49% men, age 18–85 years, and mean age 46.2). The shortened version of the SWBS consists of 10 items divided into two subscales: religious well-being (RWB) and existential well-being (EWB). Results of confirmatory factor analysis (CFA) showed insufficient parameters of the full two-factor model due to three negatively formulated items. After their exclusion, the two-factor model was found to be valid in the Slovakian population (χ (13) = 53.1, p < 0.001, χ2/df = 4.1, CFI = 0.999, TLI = 0.999, RMSEA = 0.055, and SRMR = 0.028). The reliability of the final version of the SWBS-Sk, consisting of seven positively worded items, is high, with α = 0.86 and ω = 0.94. Religious respondents and women scored significantly higher on the whole scale (p = 0.001) as well as on the two subscales (p < 0.05). A higher age was associated with a higher RWB score (p = 0.001) and a lower EWB score (p = 0.002). The shortened version of the SWBS-Sk consisting of positively worded items was found to be valid and reliable for further use in the Slovak environment.

scholarly journals Measuring Personal and Social Responsibility: An Existential Positive Psychology Approach

2021 ◽  
Vol 2 (1) ◽  
pp. 1-11
Author(s):  
Gökmen Arslan ◽  
Paul T P Wong
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Social Responsibility ◽  
Exploratory Factor Analysis ◽  
Well Being ◽  
Path Model ◽  
Internal Reliability ◽  
Initial Development ◽  
Confirmatory Factor ◽  
Personal And Social Responsibility

Responsibility was regarded as essential for wellbeing, and measuring this construct is warranted to develop strategies that promote people’s mental health and well-being. The purpose of the current study is to investigate the initial development and validation of the Responsibility Scale (RS) to measure the sense of responsibility of individuals. Participants included two independent samples, comprising of 284 adults, ranging in age between 18 and 84 years. Sample 1 was used to conducted the exploratory factor analysis and comprised of 152 adults (65% female), ranging in age from 18 to 82 years (M = 43.18, SD = 14.68). Sample 2 was used to conduct the confirmatory factor analysis. The sample consisted of 132 adults (56% female), ranging in age from 18 to 84 years (M = 29.08, SD = 12.45). Findings from exploratory factor analysis revealed the RS provided a two–factor solution comprising of 8 items that accounted for 46% of the variance, with equal items targeting characteristics of both personal and social responsibility. Confirmatory factor analysis confirmed the two–factor latent structure, providing good data-model fit statistics. Further results also showed that the internal reliability of the scale and its subscales were strong.  Finally, the latent path model revealed that the first– and high–order measurement model had positive and significant predictive effects on life satisfaction and negative predictive effects on psychological distress, accounting for the approximately large variance in the variables. Overall, the results suggest that the RS could be used to assess personal and social responsibility among adults.

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