Cluster Analytically Derived Subgroups of the PIC-2: Common Profiles and Their Correlates

Talya Kook, Pace University

Abstract

This study cluster-analyzed the profiles of 556 children whose parents had completed the Personality Inventory for Children (PIC-2). The combined use of hierarchical agglomerative and K-means clustering methods yielded 10 empirically derived subgroups. Each of the subgroups was then compared with respect to external criterion variables that included information from the patient's chart (i.e., age, gender), Rorschach Comprehensive System variables, WISC-IV scores, as well as therapist ratings at admission and discharge and the overall rates of improvement across diverse symptom areas. These findings are discussed with respect to the potential use of cluster-analytically derived subgroups in diagnosis and intervention planning. ^

Subject Area

Psychology, Clinical|Psychology, Psychometrics

Recommended Citation

Talya Kook, "Cluster Analytically Derived Subgroups of the PIC-2: Common Profiles and Their Correlates" (January 1, 2013). ETD Collection for Pace University. Paper AAI3570715.
http://digitalcommons.pace.edu/dissertations/AAI3570715

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