COMPARISON OF ALTERNATIVE ESTIMATION METHODS IN CONFIRMATORY FACTOR ANALYSES OF THE GENERAL HEALTH QUESTIONNAIRE

2005 ◽  
Vol 97 (5) ◽  
pp. 3 ◽  
Author(s):  
WEI C. WANG
Keyword(s):  
General Health ◽  
General Health Questionnaire ◽  
Estimation Methods ◽  
Health Questionnaire ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor

Comparison of Alternative Estimation Methods in Confirmatory Factor Analyses of the General Health Questionnaire

2005 ◽  
Vol 97 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Wei C. Wang ◽  
Everarda G. Cunningham
Keyword(s):  
Least Squares ◽  
Weighted Least Squares ◽  
General Health Questionnaire ◽  
Estimation Methods ◽  
Health Questionnaire ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Weighted Least Squares Estimation ◽  
Confirmatory Factor ◽  
Diagonally Weighted Least Squares

This paper examines the implications of violating assumptions concerning the continuity and distributional properties of data in establishing measurement models in social science research. The General Health Questionnaire-12 uses an ordinal response scale. Responses to the GHQ-12 from 201 Hong Kong immigrants on arrival in Australia showed that the data were not normally distributed. A series of confirmatory factor analyses using either a Pearson product-moment or a polychoric correlation input matrix and employing either maximum likelihood, weighted least squares or diagonally weighted least squares estimation methods were conducted on the data. The parameter estimates and goodness-of-fit statistics provided support for using polychoric correlations and diagonally weighted least squares estimation when analyzing ordinal, nonnormal data.

scholarly journals Validation and psychometric properties of the Indonesian version of the Fear of Missing Out Scale in adolescents

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Dian Veronika Sakti Kaloeti ◽  
Ayu Kurnia S ◽  
Valentino Marcel Tahamata
Keyword(s):  
Psychometric Properties ◽  
General Health ◽  
Goodness Of Fit ◽  
Online Survey ◽  
General Health Questionnaire ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Fear Of Missing Out ◽  
Confirmatory Factor ◽  
Fit Index

Abstract Background This study’s main purpose was to examine the psychometric properties of FoMOs’ adaptation among the Indonesian adolescents’ population. The second aim was to investigate the concurrent validity of the Indonesian version to provide evidence for the validity. Also, FoMOs’ difference level between demographic variance analyses was performed. Method The study involved a cross-sectional online survey design with 638 Indonesian adolescents aged 16–24 (M = 19.08, SD = 14.70). FoMO was measured by a 16-item that has been modified from the original 10-item. Exploratory and confirmatory factor analyses were carried out to study its scores’ evidence of structural validity. Besides, to study its scores’ evidence of convergent, discriminant, and predictive validity concerning other variables such as stress, anxiety, and depression (Depression and Anxiety Stress Scale-21), and general health condition (General Health Questionnaire Scale-12), correlation analyses were conducted. To study the sensitivity, we assessed the effect of sociodemographic and social media use on the scale’s ability to identify the population’s risk to the FoMO by conducting analyses of variance. The Cronbach alpha values (α = .93) indicated that internal consistency of the scale was at an adequate level. Results Exploratory factorial analyses revealed adequate adjustment for the new version of the scale showing the three factorial structures. Confirmatory factor analyses showed that the 12-item of Indonesian FoMO had a good fit (χ2/df = 289.324/51; goodness-of-fit index (GFI) = 0.928; RMSEA = 0.086; comparative fit index (CFI) = 0.915; normed fit index (NFI) = 0.899; parsimony normed fit index (PNFI) = .695; Tucker–Lewis index (TLI) = 0.890). Conclusion This study has shown that the modified 12-item Fear of Missing Out Scale is a valid and reliable instrument for Indonesian adolescents. It showed that the Indonesian version of Fear of Missing Out Scale has adequate psychometric properties to measure Indonesian adolescents’ online behavior.

scholarly journals Validation of the structural coherency of the General Health Questionnaire

2011 ◽  
Vol 33 (1) ◽  
pp. 59-63 ◽  
Author(s):  
Hudson Wander de Carvalho ◽  
Christopher J. Patrick ◽  
Miguel Roberto Jorge ◽  
Sérgio Baxter Andreoli
Keyword(s):  
Factor Analysis ◽  
General Health ◽  
Common Factor ◽  
General Health Questionnaire ◽  
Developmental Study ◽  
Health Questionnaire ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor

OBJECTIVE: Investigate the structural coherency of the 60-item version of the General Health Questionnaire via exploratory and confirmatory factor analyses. METHOD: The study design is a cross-sectional survey. A random sample of 146 individuals from the city of Divinópolis-MG volunteered to participate in the present study and responded to the 60-item version of the General Health Questionnaire adapted and validated for use in Brazil. Statistics consisted of exploratory and confirmatory factor analysis. Reliability was estimated using Cronbach's alpha method. RESULTS: Alpha coefficients for all five content scales of the General Health Questionnaire were high (α > 0.8). For four of the five scales, a unifactorial model of constituent items provided a good fit to the data. Items comprising the fifth scale, Psychic Stress, exhibited a two-correlated factor structure. A factor analysis of scores for the five scales yielded strong evidence of coherency, with all scales loading substantially on a single common factor. CONCLUSION: The General Health Questionnaire shows good psychometric coherency as evidenced by high internal consistency and unidimensionality of all but one of its constituent scales, and uniformly high loadings of all scales on a single overarching factor. These results are consistent with prior findings from the General Health Questionnaire developmental study and Brazilian adaptation studies.

scholarly journals A Rasch and confirmatory factor analysis of the General Health Questionnaire (GHQ) - 12

2010 ◽  
Vol 8 (1) ◽  
pp. 45 ◽  
Author(s):  
Adam B Smith ◽  
Lesley J Fallowfield ◽  
Dan P Stark ◽  
Galina Velikova ◽  
Valerie Jenkins
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
General Health ◽  
General Health Questionnaire ◽  
Health Questionnaire ◽  
Confirmatory Factor

Confirmatory factor analysis of the General Health Questionnaire (GHQ-12) in Spanish adolescents

2011 ◽  
Vol 21 (7) ◽  
pp. 1291-1298 ◽  
Author(s):  
Alicia Padrón ◽  
Iñaki Galán ◽  
María Durbán ◽  
Ana Gandarillas ◽  
Fernando Rodríguez-Artalejo
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
General Health ◽  
General Health Questionnaire ◽  
Health Questionnaire ◽  
Confirmatory Factor

A confirmatory factor analysis of the General Health Questionnaire-12

2004 ◽  
Vol 20 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Thomas J. Kalliath ◽  
Michael P. O'Driscoll ◽  
Paula Brough
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
General Health ◽  
General Health Questionnaire ◽  
Health Questionnaire ◽  
Confirmatory Factor

scholarly journals Psychometric Properties of the General Health Questionnaire (GHQ-28) in Ecuadorian College Students

2021 ◽  
Vol 30 (3) ◽  
pp. 573-590
Author(s):  
Rodrigo Moreta-Herrera ◽  
Daniela Bonilla ◽  
Erika Ruperti-Lucero ◽  
Daniel Gavilanes-Gómez ◽  
Joselyn Zambrano-Estrella ◽  
...  
Keyword(s):  
College Students ◽  
General Health ◽  
Convergent Validity ◽  
General Health Questionnaire ◽  
Reliability And Validity ◽  
Bifactor Model ◽  
Least Square ◽  
Health Questionnaire ◽  
Confirmatory Factor ◽  
Mean And Variance

Objective: To analyse the internal structure of the 28-item version of the General Health Questionnaire (GHQ-28), as well as its reliability and validity in relation to other variables in a sample of Ecuadorian university students. Method: Instrumental design with confirmatory factor analysis using weighted least square mean and variance adjusted (WLSMV) estimator, reliability and convergence and discrimination validity of the GHQ-28. Sample: 495 students (56.6% women), between 18 to 35 years old (M = 24.1 years; SD = 2.1), from three universities (59.6% public) in Ecuador. Results: The bifactor model of the GHQ-28 test has an adequate fit with χ2 = 357.81; p > .05; df = 322; χ2/df = 1.11; CFI = .991; TLI = .989; SRMR = .059; RMSEA = .015 [.000 – .023]; ωH = .93; ECV = .90; PUC = .78. The GHQ-28 is reliable and in terms of convergent validity, it correlates significantly and negatively with mental health, assessed by MHC-SF, and it is discriminant between risk and non-risk cases. Conclusion: The GHQ-28 bifactor model is replicable in Ecuadorian college students.

Factorial Validity of the General Health Questionnaire 12 in an Angolan Sample

2017 ◽  
Vol 33 (2) ◽  
pp. 116-122 ◽  
Author(s):  
José M. Tomás ◽  
Melchor Gutiérrez ◽  
Patricia Sancho
Keyword(s):  
Factor Structure ◽  
General Health ◽  
General Health Questionnaire ◽  
Underlying Structure ◽  
Factor Solution ◽  
Confirmatory Factor Analyses ◽  
S Factor ◽  
Confirmatory Factor ◽  
Method Effects ◽  
Best Fitting

Abstract. Most evidence available has found multidimensional solutions for the General Health Questionnaire’s (GHQ12) structure, contrary to the authors’ original one-factor solution. Recently, the study of method effects associated to negatively worded items has been included in the study of GHQ12’s factor structure, and the most common conclusion has been that the best-fitting structure is a single factor confounded by response bias. Current study analyzes the factor structure of the Portuguese version of the GHQ12. The sample consisted of 1,332 young Angolan adults. Previously-reported structures, including one-factor and multidimensional substantive ones, as well as bifactor structures, and models positing method effects among negatively worded items were tested via Confirmatory Factor Analyses. Results suggested that a three substantive factor solution adequately represented the scale’s underlying structure. The emerging factors were dysphoria, social dysfunction, and loss of confidence. Method effects did not play a clear role in explaining the multidimensionality observed in the factor structures tested for the GHQ12.

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