This article reports the results of a longitudinal study of graduation rates at a two-year technical college where students enroll in an Associate of Applied Science terminal-degree program. The predictive ability of segmentation modeling in this study is as effective as logistic regression. However, its ability to identify discrete subgroups based on multiple independent variables is a distinct advantage over regression techniques. In addition, nonlinear relationships are easily apparent.
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