title: The factor structure of the DSM-III-R personality disorders: an evaluation of competing models.
abstract: Confirmatory factor analysis was used to test a series of competing models to determine the best way to characterize the factor structure of the DSM-III-R personality disorder scores. Data were collected from 301 clients with a primary diagnosis of anxiety disorder. The Structured Clinical Interview for DSM-III-R (SCID) was used to determine Axis I and Axis II diagnoses, and adequate to good reliability was obtained for the number of criteria met for a given personality disorder. Several factor models were tested, including a single-factor model, a three-factor model based on the DSM grouping of odd, dramatic, and anxious personality disorders, and a four-factor model based on normal personality theories. Only the DSM three-factor model received strong and unequivocal support.
authors.affiliation: Department of Psychology, Temple University, USA.
authors.forename: Thomas L
authors.initials: TL
authors.lastname: Rodebaugh
authors.forename: Dianne L
authors.initials: DL
authors.lastname: Chambless
authors.forename: Babette
authors.initials: B
authors.lastname: Renneberg
authors.forename: Thomas
authors.initials: T
authors.lastname: Fydrich
mesh_terms: D000328:Adult; D001008:Anxiety Disorders / Q000145:classification / Q000175:diagnosis*; D003866:Depressive Disorder / Q000145:classification / Q000175:diagnosis*; D039721:Diagnostic and Statistical Manual of Mental Disorders; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008432:Mathematical Computing; D015233:Models, Statistical; D015588:Observer Variation; D010554:Personality Disorders / Q000145:classification / Q000175:diagnosis*; D011594:Psychometrics / Q000706:statistics & numerical data; D015203:Reproducibility of Results