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CLASSIFICATION OF SHOPLIFTERS BY CLUSTER ANALYSIS

NCJ Number
142357
Journal
International Journal of Offender Therapy and Comparative Criminology Volume: 37 Issue: 1 Dated: (Spring 1993) Pages: 29-40
Author(s)
F J McShane; B A Noonan
Date Published
1993
Length
12 pages
Annotation
The study reported in this article developed an empirically derived multivariate taxonomy of shoplifters by cluster analysis.
Abstract
This study analyzed previously collected data from 75 suspected shoplifters, including demographic characteristics, past history, psychosocial stressors, and purpose-in-life measures as defined by the Purpose-in-Life (PIL) and Seeking-of-Noetic-Goals (SONG) tests. Study results indicate the suitability of cluster analysis grouping techniques for classifying shoplifters. The findings support the contention that shoplifters are a heterogeneous population that consists of multiple subtypes. The smallest group comprises elderly shoplifters who have very high rates of chronic health-related stress. A second and slightly larger group of highly educated males is characterized by moderate levels of occupational stress. A third group is distinguished by youth, gender, marital status, acute interrelational stress, and habitual shoplifting behaviors. The largest and most striking group consists of middle-aged females not experiencing psychosocial stress who generally have enough funds to pay for the stolen merchandise. Overall, the results suggest that psychosocial stressors provide a useful basis for classifying shoplifters; identity and perception needs should be addressed in any treatment program designed to reduce recidivism. 44 references

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