Inventory of Interpersonal Problems Personality Disorder Scales: Operating Characteristics and Confirmatory Factor Analysis in Nonclinical Samples

• Published in: Journal of personality assessment Vol. 74; no. 3; pp. 459 - 471
• Main Authors: Stern, Barry L., Kim, Yookyung, Trull, Timothy J., Scarpa, Angela, Pilkonis, Paul
• Format: Journal Article
• Language: English
• Published: Philadelphia, PA Lawrence Erlbaum Associates, Inc 01-06-2000; Taylor & Francis
• Subjects: Adult; Biological and medical sciences; Confirmatory factor analysis; Female; Humans; Internal-External Control; Interpersonal Relations; Inventory of Interpersonal Problems; Male; Medical sciences; Middle Aged; Personality Disorders - diagnosis; Personality Disorders - psychology; Personality Inventory - statistics & numerical data; Personality tests; Psychology. Psychoanalysis. Psychiatry; Psychometrics; Psychometrics. Diagnostic aid systems; Psychopathology. Psychiatry; Reproducibility of Results; Techniques and methods; Human; Test validation; Social interaction; Inventory of Interpersonal Problems; Confirmatory factor analysis; Psychometrics; Inventory; Interpersonal relation; Personality disorder
• ISSN: 0022-3891; 1532-7752
• DOI: 10.1207/S15327752JPA7403_9

Research involving clinical samples has demonstrated the utility of a 28-item personality disorder (PD) screening measure (Inventory of Interpersonal Problems-Personality Disorder scale [IIP-PD]) culled from the IIP in the prediction of the presence or absence of a PD (Pilkonis, Kim, Proietti, & Barkham, 1996). This article extends these diagnostic efficiency findings to nonclinical samples and presents additional data regarding the factor structure of the 28 IIP-PD items. Diagnostic efficiency statistics for the IIP-PD scale, calculated using both interview and self-report methods, support the utility of the IIP-PD scale as a screening tool for the presence or absence of a PD. High specificity estimates indicate that individuals who do not exceed Diagnostic and Statistical Manual of Mental Disorders (4th ed.; American Psychiatric Association, 1994) symptom thresholds rarely exceed the IIP-PD cutoff. Furthermore, a high negative predictive power (NPP) estimate derived using an interview-based diagnostic standard suggests that the IIP-PD scale accurately screens out individuals who do not have a PD. Finally, cross-validated confirmatory factor-analytic results involving items composing the 5 IIP PD subscales identified in previous research (Kim, Pilkonis, & Barkham, 1997) suggest that a measurement model with a single second-order factor (general PD) and 5 first-order factors (one representing each PD subscale) provided the best fit to the observed data compared to 2 other competing models.