International Journal of Testing · 2007 · 29 citations · 40 references
Social SciencesPsychiatryPsychologyClinical PsychologyPsychiatric AssessmentPsychometricsPersonality DisordersPsychiatric DiagnosisPsychological TestingPsychopathology AssessmentPsychosis AssessmentPsychotic DisordersCluster A Personality DisordersCluster C Personality DisordersDiagnostic EfficiencyPersonality Disorders DiagnosisPsychotic Disorders DiagnosisPsychotic Symptom AssessmentPsychotic Symptom DimensionsPsychotic Symptom Severity Scales
This study investigates the reliability, validity, and diagnostic efficiency of the Rorschach Perceptual-Thinking Index (PTI) in relation to the accurate identification of psychotic disorder (PTD) patients. The PTI is a revision of the Rorschach Schizophrenia Index (SCZI), designed to achieve several criteria, including an increase in the diagnostic utility of the Rorschach for assessing thought disorder and to increase clinical focus on the dimensional aspects of impaired perceptions and thoughts (Exner, 2000a Exner, J. 2000a. A primer for Rorschach interpretation, Asheville, NC: Rorschach Workshops. [Google Scholar]; 2000b Exner, J. 2000b. 2000 alumni newsletter, Asheville, NC: Rorschach Workshops. [Google Scholar]). Seventy-eight patients who met DSM-IV criteria for a PTD or Axis II disorder [PTD = 33; borderline personality disorder (BPD) = 23; cluster A personality disorders (CA) = 9; cluster C personality disorders (CC) = 13] and 40 non-patients were compared on the PTI. The results of this study indicate that the PTI can be reliably scored and is internally consistent. In addition, the PTI can be used to effectively differentiate PTD patients from a non-patient sample as well as from personality disorder patients characterized by moderate to, at times, severe perceptual thought disorder. Finally, the PTI can also be employed for classification purposes in ways that are clinically meaningful in the diagnosis of a psychotic disorder. Conceptual and methodological issues are discussed in relation to the assessment of psychosis.
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Statistical Power Analysis for the Behavioral Sciences
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Statistical Methods for Rates and Proportions.
B. S. Everitt, J. L. Fleiss · Biometrics · 1981 · 9.1K citations