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Background: The purpose of this study was to provide preliminary data on the effects of paroxetine and amisulpride on depressive dimensions, analyzed by factor analysis, in dysthymic patients.
Clustering of CVRF has been analyzed by factor analysis in various contexts.
The patterns were identified by factor analysis in another study [ 28].
Domains of practice performance recognised by factor analysis in the PAR questionnaires [ 2] are listed in Table 2.
Consistent with results obtained by factor analysis in previous studies, the PSOCQ had to be revised and divided in subscales.
However, the authors argued that the structure of HLOC has not been investigated by factor analysis in a corresponding sample, i.e. the HLOC construct may differ structurally over cultures [ 18].
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The results from this procedure were grouped (see next paragraph) using the multimorbidity clusters identified by factor analysis presented in a previous study [ 9].
The APAIS has been initially designed and validated in dutch, the construct validity was evaluated by factor analysis with rotation in a population of 320 dutch patients while external validity been performed in 200 patients.
The triads by multimorbidity clusters that had previously been identified by factor analysis are shown in Tables 2 and 3. We found 13,460 triads of chronic conditions in the female population of which 932 had a prevalence ≥ 1% and 57 of these also had an O/E ratio ≥ 2 (cf. Table 2).
However, the scales found by factor analysis herein were only in part congruent with the original 5-scale model which was approved a multitrait analysis approach.
Therefore, correlation coefficients (Pearsons and Spearman's rho) between global EPDS and BDI-II scores were estimated in order to determine the magnitude of the relationship between the two scales; correlation data for the two subscales -which have been revealed by factor analysis- were analysed in order to examine construct validity of the Greek EPDS.
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