Diagnostic hit rates of high point codes for the diagnostic inventory of personality and symptoms using random assignment, base rates, and probability scales

Abstract

Diagnostic hit rates for the Diagnostic Inventory of Personality and Symptoms (DIPS) were compared to diagnosis by psychiatrists of the same patients (N = 60). Three methods were employed to determine the DIPS hit rates. The Probability Scale employing Bayesian concepts and base rates correctly classified 70% of the patients and was more accurate by far than the other two methods.