This study explored the outcome of academically dismissed students reinstated the semester following academic dismissal at a medium-size Midwestern University. Logistic regression was utilized to identify predictors that may assist academic administrators in making decisions regarding future reinstatement activities. The overall model correctly classified 73.7% of the subjects in the sample. In addition, a combination of six factors accounted for 32.5% of the total variance in academic status; however, 19.2% of the variance was accounted for by a single factor (term of dismissal quality point status). These results indicate the need for careful consideration regarding this little known measure available to higher education academic administrators.
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