Personality Assessment Form (PAF)Pilkonis, Paul (2018) Personality Assessment Form (PAF). [Dataset] (Unpublished)
AbstractThis submission contains data and codebooks from several personality studies conducted 1990-2017, organized by assessment instrument. For demographic information about the study participants, please refer to Background Information Questionnaire (BIQ) - Personality Studies (http://d-scholarship.pitt.edu/id/eprint/35424). Studies: 1. Validity in the Diagnosis of Personality Disorders ("Validity")* Description: *The PAF was completed in the Validity Study (and published) but the data has not been retained. (From Pilkonis et al 1991:). The PAF contains 13 dimensions corresponding to the 11 official and 2 provisional Axis II disorders in the DSM-III-R. For each dimension, a brief paragraph describes the important features of each disorder, and the evaluator is instructed to rate the extent to which these features characterize the subject's long-term personality. Ratings are done on a 6-point scale (1-6), with each point anchored by a short phrase (e.g., 4 = to a considerable extent). For categorical purposes, a threshold of 4 on any of the 13 items has been used to identify subjects with a probable-to definite personality disorder. The PAF is designed to be completed after both an Axis I evaluation and the administration of selected probe questions regarding Axis II features have been done. Data Notes: The PAF was completed in the Validity Study (and published) but the data has not been retained. Reliability: Citations: Pilkonis, P.A., & Frank, E. (1988). Personality pathology in recurrent depression: nature, prevalence, and relationship to treatment response. American Journal of Psychiatry, 145, 435–441 Pilkonis, P.A., Heape, C.L., Ruddy, J., & Serrao, P. (1991). Validity in the diagnosis of personality disorders: The use of the LEAD standard. Psychological Assessment, 3(1), 46-54. Shea, M.T., Pilkonis P.A., Beckman E., et al (1990). Personality disorders and treatment outcome in the NIMH Treatment of Depression Collaborative Research Program. American Journal of Psychiatry, 147, 711–718 Share
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