Analyzing Army Reserve Unsatisfactory Participants through Logistic Regression
Abstract
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 USAR Soldiers are unable to attend regular Battle Assemblies and Annual Training, which results in them being labeled "Unsatisfactory Participants." This thesis looks into available individual data through the use of logistic regression to see if there are any variables or combinations of variables that help to 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. The primary research question is as follows: What demographic data best explain a Reservist's becoming an Unsatisfactory Participant by missing scheduled drills and Annual Training? The secondary research questions are as follows: (1) What personal factors, including age, marital status, and rank best explain absenteeism?; (2) What environmental conditions such as geographic region best explain absenteeism?; and (3) What is the best model, given available data, to explain the observed levels of unsatisfactory participation?
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 08, 2012
- Accession Number
- ADA563259
Entities
People
- Brian A. Davis
Organizations
- United States Army Command and General Staff College