Field Dependence and the Factor Structure of the General Health Questionnaire in Normal Subjects

1982 ◽  
Vol 140 (4) ◽  
pp. 392-400 ◽  
Author(s):  
Katharine R. Parkes

SummaryThe factor structure of the General Health Questionnaire (GHQ) was investigated in a non-clinical sample in relation to the role of field dependence (assessed by the Hidden Figures Test) in influencing the extent to which different aspects of psychoneurotic disturbance are differentiated. Greater differentiation was achieved by the field independent (FI) group than by the field dependent (FD) group, as shown by: (i) the proportion of variance accounted for by the general factor in the principal components analysis of the 60-item GHQ data was lower (17 per cent) in the FI group than in the FD group (33 per cent); (ii) the factor loadings in the FI group, but not the FD group, corresponded closely with the four subscales of the 28-item scaled GHQ; (iii) the interscale correlations were significantly lower in the FI group than in the FD group. The implications of these findings are discussed, particularly their relevance to ‘unitary’ and ‘distinct-syndrome’ models of minor anxiety and depressive disorders, and the greater probability of occurrence of mixed states in field dependent subjects.

2015 ◽  
Vol 3 (3) ◽  
pp. 478-483 ◽  
Author(s):  
Miodraga Stefanovska Petkovska ◽  
Marjan I. Bojadziev ◽  
Vesna Velikj Stefanovska

AIM: The aim of the study is to analyze the internal consistency; validity and factor structure of the twelve item General Health Questionnaire for the Macedonian general population.MATERIAL AND METHODS: Data came from nationally representative sample of 1603 randomly selected Macedonians all aged 18 years or older.RESULTS: The mean GHQ score in the general sample was found to be 7.9 (SD = 4.3). The results revealed a higher GHQ score among women (M = 8.91, SD = 4.5) compared to men (M = 6.89; SD = 4.2). The participants from the rural areas obtained a lower GHQ score (M = 7.55, SD = 3.8) compared to participants coming from the urban areas (M = 9.37, SD = 4.1). The principal component analysis with oblique rotation (direct oblimin) with maximum likelihood procedure solution was performed and the results yielded a three factor solution which jointly accounted for 57.17% of the total variance: Factor I named social management (items 1, 3, 4, 6, 7 and 8); Factor II stress (items 2, 5 and 9) and Factor III named self-confidence (items 10, 11 and 12). Its factor structure is in line with representative research from other population groups.CONCLUSION: The GHQ-12 can be used effectively for assessment of the overall psychological well-being and detection of non-psychotic psychiatric problems among the Macedonian population.


1983 ◽  
Vol 13 (2) ◽  
pp. 349-353 ◽  
Author(s):  
Michael H. Banks

SYNOPSISValidity coefficients of the 30-item, 28-item and 12-item versions of the General Health Questionnaire (GHQ) were determined by comparison with the Present State Examination (PSE) in a sample of 200 17-year-olds. The PSE classified 7 people (3·5%) as cases, although only 47% were identified as free of symptoms. Misclassification rates, sensitivity and specificity values are presented for different cutting scores for the three versions of the GHQ. The GHQ-28 had superior values, especially with a cutting score of 5/6; the GHQ-12 with a 2/3 cutting score also had acceptable values. All versions of the GHQ correlated highly with the PSE Index of Definition and total scores, providing support for the treatment of GHQ scores as a continuous variable in this kind of population. Correlations between sub-scales of the GHQ-28 give further evidence for a general factor and the relative independence of the social dysfunction sub-scale.


1992 ◽  
Vol 22 (4) ◽  
pp. 1011-1018 ◽  
Author(s):  
Glyn Lewis

SynopsisFactor analyses of the General Health Questionnaire have attempted to interpret the factors as measuring anxiety, depression and social functioning. Data from two large community surveys were used to conduct an unrotated principal components analysis of the 30-item General Health Questionnaire. A general factor, indicating overall severity of psychiatric disorder, accounted for around 30% of the variance. The next most important factor, accounting for about 8% of the variance, was bipolar with the positive (‘less than usual’) items of the General Health Questionnaire having positive coefficients and the negative (‘more than usual’) items having negative coefficients. It is suggested that the concepts of positive and negative mental health derive empirical support from the results and may prove to be a useful classification of dimensions of mental health in the community.


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