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.

Several theories have been proposed for the classification of sex offenders in general and child molesters in particular. The current research was designed to determine if the MMPI is useful in classifying child molesters, employing cluster analysis methodology. An analysis of 90 child molester MMPI profiles produced eight MMPI cluster types. These eight cluster types appeared to be robust when subjected to discriminate analysis for the purpose of reclassification. Empirically derived descriptions for each of the cluster types are presented.

The factor structure of the Diagnostic Inventory of Personality and Symptoms (DIPS) in a private psychiatric patient population was examined (N = 60). Principal components factor analysis with Varimax rotation yielded three well‐defined factors, which accounted for 70% of the total variance. These factors can be conceptualized as neurotic, psychotic, and characterological. Results support the construct validity of the Diagnostic Inventory of Personality and Symptoms and are discussed in relation to previous psychometric studies of psychopathology that employed the MMPI.

The factor structure of the Adolescent Multiphasic Personality Inventory (AMPI) in a mental health center psychiatric patient population was examined (N = 70). Principal components factor analysis with Varimax rotation yielded four well defined factors, which accounted for 78% of the total variance. These factors can be conceptualized as neurotic, psychotic, characterological, and validity‐defensiveness. Results support the construct validity of the AMPI and are discussed in relation to previous psychometric studies of psychopathology that used other objective personality inventories.

The relationships of high‐point code types of the Diagnostic Inventory of Personality and Symptoms (DIPS) to the Diagnostic and Statistic Manual III of the American Psychiatric Association (DSM‐III) were explored for patients (N = 316) in private mental health settings. Sixteen DIPS code types that relate code types to Axis I diagnoses are presented. The three DIPS personality disorder cluster scales and the eight combinations thereof are presented as well. Five of the personality disorder cluster scale code types that relate to DSM‐III Axis II categories are identified. Finally, a narrative summation of each of the code types is given.