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Confirmatory maximum likelihood factor analyses of the personality research Form‐E
Author(s) -
Fowler Patrick C.
Publication year - 1986
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/1097-4679(198603)42:2<302::aid-jclp2270420212>3.0.co;2-0
Subject(s) - varimax rotation , psychology , factor analysis , confirmatory factor analysis , personality , statistics , factor (programming language) , maximum likelihood , big five personality traits , similarity (geometry) , psychometrics , econometrics , structural equation modeling , social psychology , developmental psychology , mathematics , cronbach's alpha , artificial intelligence , computer science , image (mathematics) , programming language
Two confirmatory maximum likelihood factor analytic models of the Personality Research Form‐E are presented and discussed for the men's and women's standardization data (Jackson, 1974) ( N = 215). The two models investigated were: (1) a six‐factor model based on Jackson's conceptual framework for the Personality Research Form‐E; and (2) the five‐factor empirical model advanced by Fowler (1985). Overall, the patterns of correlations within each data matrix are highly similar, but the factor patterns, factor intercorrelations, as well as the error variances, do differ. The five‐factor model was found to be more adequate generally, but produced no absolute fit to the data matrices, while the six‐factor model invariably produced inaccurate estimates of the parameters. Comparisons of the completely estimated, Varimax‐rotated factor loading matrices to that reported by Fowler found, on the whole, stronger similarity between matching factors for the women than for the men. The implications of this finding for the modelling of the PRF‐E and its application in clinical contexts are considered at length.