Personality disorders and the five-factor model: a test of facet-level predictions.
We tested predicted relationships (Widiger, 1993; Widiger, Trull, Clarkin, Sanderson, & Costa, 1994) between personality disorder scores and facets of the five-factor model, and evaluated the relative benefits of facet-level analyses over domain-level analyses. Data from 614 undergraduates indicated: (a) 63% of the predicted facet relationships were significant, although many unpredicted relationships also emerged; (b) facet-level analyses did not yield substantially stronger effect sizes than domain-level analyses; but (c) facet-level analyses provided much better discrimination between personality disorders than domain-level analyses. Facets of the openness to experience domain also helped discriminate between personality disorders, which is in contrast to previous domain-level findings that openness is not important.
Dyce
J A
JA
Department of Psychology, Concordia University, College of Alberta, Edmonton.
O'Connor
B P
BP
D000328:Adult; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008960:Models, Psychological; D010551:Personality / Q000145:classification*; D010554:Personality Disorders / Q000145:classification* / Q000503:physiopathology*; D010556:Personality Tests; D012044:Regression Analysis