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The Reliability of Inverse Scree Tests for Cluster Analysis

California State University, Chico

Janice E. Williams

University of California, Los Angeles

This paper presents a Monte Carlo study which explores the reliability of the inverse scree test for cluster analysis. Two sets of distributions were generated, and 6000 "computer subjects" were cluster analyzed and graphed. Three raters were then asked to detect the critical point at which the inverse scree line showed a marked break. Results indicated that the inverse scree may be a useful and reliable cluster analytic technique for determining the number of true groups.

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