The structure of the General Health Questionnaire (GHQ-12): two meta-analytic factor analyses

2018 ◽  
Vol 12 (2) ◽  
pp. 179-194 ◽  
Author(s):  
Timo Gnambs ◽  
Thomas Staufenbiel
1989 ◽  
Vol 155 (2) ◽  
pp. 178-185 ◽  
Author(s):  
Felicia A. Huppert ◽  
D. E. Walters ◽  
N. Day ◽  
B. Jane Elliott

An individual's responses to Goldberg's 30-item General Health Questionnaire are usually represented as a single score which provides a measure of the number of psychiatric symptoms reported. No account is taken of the nature of the symptoms. Factor analyses of the GHQ-30 were undertaken in ten randomly selected samples of 600 adults each, and also on 12 age-sex groupings covering the age range 18–98. The results indicate an impressive degree of consistency of the factor structure, and the identification of five distinct factors corresponding to anxiety, feelings of incompetence, depression, difficulty in coping, and social dysfunction.


1985 ◽  
Vol 15 (1) ◽  
pp. 147-155 ◽  
Author(s):  
David W. Chan

SynopsisThe English and Chinese versions of the General Health Questionnaire (GHQ) were administered to a sample of 72 bilingual respondents for the evaluation of version equivalence by a series of item analyses, reliability analyses and factor analyses. Although certain notable discrepancies were observed at the item level, the two versions were found to be comparable at the scale level. In addition, cogent evidence was provided for the relative robustness of the symptom dimensions as assessed by the two versions of the GHQ.


2011 ◽  
Vol 38 (S 01) ◽  
Author(s):  
F Friedrich ◽  
R Alexandrowicz ◽  
N Benda ◽  
G Cerny ◽  
J Wancata

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Dian Veronika Sakti Kaloeti ◽  
Ayu Kurnia S ◽  
Valentino Marcel Tahamata

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.


2011 ◽  
Vol 21 (9) ◽  
pp. 954-961 ◽  
Author(s):  
Wei Gao ◽  
Daniel Stark ◽  
Michael I. Bennett ◽  
Richard J. Siegert ◽  
Scott Murray ◽  
...  

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