Abstract:
BACKGROUND:Factor analysis has been employed to identify latent variables that are unifying constructs and that parsimoniously describe correlations among a related group of variables. Confirmatory factor analysis is used to test hypothesized factor structures for a set of variables; it can also, as in this paper be used to model data from two or more groups simultaneously to determine whether they have the same factor structure. METHOD:Non-psychotic psychiatric morbidity, elicited by the Revised Clinical Interview Schedule (CIS-R), from four culturally diverse populations was compared. Confirmatory factor analysis was employed to compare the factor structures of CIS-R data sets from Santiago, Harare, Rotherhithe and Ealing. These structures were compared with hypothetical one and two factor (depression-anxiety) models. RESULTS:The models fitted well with the different data sets. The depression-anxiety model was marginally superior to the one factor model as judged by various statistical measures of fit. The two factors in depression-anxiety model were, however, highly correlated. CONCLUSIONS:The findings suggest that symptoms of emotional distress seem to have the same factor structure across cultures.
journal_name
Psychol Medjournal_title
Psychological medicineauthors
Jacob KS,Everitt BS,Patel V,Weich S,Araya R,Lewis GHdoi
10.1017/s0033291797005710subject
Has Abstractpub_date
1998-01-01 00:00:00pages
145-52issue
1eissn
0033-2917issn
1469-8978journal_volume
28pub_type
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