Analyzing Army Reserve unsatisfactory participants through logistic regression.
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Analyzing Army Reserve unsatisfactory participants through logistic regression.
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The United States Army Reserve (USAR) provides forces critical to the success of the Regular Army and to support national military strategy as an operational force. The USAR continues to confront issues associated with a volunteer force serving in a part-time status. For a variety of reasons, some Soldiers are unable to attend regular Battle Assemblies and Annual Training, resulting in being labeled Unsatisfactory Participants. This thesis looks into available individual data through the utilization of logistic regression to see if there are any variables or combinations that help explain a Soldier becoming an Unsatisfactory Participant. It provides an interpretation of the regression results, reports on other statistical measures of prediction, and makes recommendations for future studies.
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