title: Positive and negative symptoms of schizotypy and the Five-factor model: a domain and facet level analysis.
abstract: In this study, we investigated the Five-factor model in the concurrent prediction of positive symptom schizotypy as measured by the Magical Ideation (Eckblad & Chapman, 1983) and Perceptual Aberration (Chapman, Chapman, & Raulin, 1978) scales and negative symptom schizotypy as measured by the Physical Anhedonia (Chapman, Chapman, & Raulin, 1976) and Revised Social Anhedonia (Eckblad, Chapman, Chapman, & Mishlove, 1982; Mishlove & Chapman, 1985) scales. Previous studies suggest that these measures reflect the core symptoms found in schizotypal and schizoid personality disorder (Bailey, West, Widiger, & Freiman, 1993). Negative symptoms were significantly predicted by Neuroticism (+), Extraversion (-), Openness (-), and Agreeableness (-) domains of the Revised NEO Personality Inventory (NEO-PI-R; Costa & McCrae, 1992). Additionally, positive symptoms were significantly predicted by Neuroticism (+), Openness (+), and Agreeableness (-). In addition, we examined the validity of lower order traits in de- scribing these symptoms of character pathology. These findings lend further support for the use of domain and facet scales of the NEO-PI-R in the identification of personality pathology.
authors.affiliation: Department of Psychology, DePauw University, Greencastle, IN 46135, USA.
authors.forename: Scott R
authors.initials: SR
authors.lastname: Ross
authors.forename: Catherine J
authors.initials: CJ
authors.lastname: Lutz
authors.forename: Steven E
authors.initials: SE
authors.lastname: Bailley
mesh_terms: D000328:Adult; D002170:Canada; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008297:Male; D008960:Models, Psychological; D015999:Multivariate Analysis; D010555:Personality Inventory; D012044:Regression Analysis; D015203:Reproducibility of Results; D012557:Schizoid Personality Disorder / Q000175:diagnosis; D012569:Schizotypal Personality Disorder / Q000175:diagnosis*; D012737:Sex Factors