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dc.contributor.advisorWhitaker, Lyn R.
dc.contributor.authorEubanks, Lee H.
dc.dateSep-14
dc.date.accessioned2014-12-05T20:10:15Z
dc.date.available2014-12-05T20:10:15Z
dc.date.issued2014-09
dc.identifier.urihttp://hdl.handle.net/10945/43911
dc.description.abstractThis study develops a model to predict a potential recruit’s likelihood or probability of surviving through the first term of his or her enlistment based on information available to recruiters. This model is compared and contrasted with the predictive ability of the current Navy Recruit Quality Matrix, which classifies recruits into three categories: A, B, and Cu. The data used for this study was from information obtained from recruits at time of accession during fiscal year 2006–2013. We found evidence that there are other recruit characteristics identified at time of recruitment, other than his or her Quality Matrix categories, which may indicate recruits who are at greater risk of attriting. Some of these variables, such as Armed Forces Qualification Test percentile score, education, and body mass index, might contribute to developing a recruit-screening tool. Others, such as gender, will not be appropriate for such use. However, the estimated probabilities computed from the logistic regression model of this thesis can be used to identify subsets of recruits who have a high probability of completing the first term that would normally not be identified through the Navy Recruit Quality Matrix.en_US
dc.description.urihttp://archive.org/details/navyrecruitttrit1094543911
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleNavy recruit attrition prediction modelingen_US
dc.typeThesisen_US
dc.contributor.secondreaderButtrey, Samuel E.
dc.contributor.departmentOperations Research (OR)
dc.subject.authordata analysisen_US
dc.subject.authorlogistic regressionen_US
dc.subject.authorU.S. Navy first term attritionen_US
dc.subject.authorU.S. Navy active duty recruitmenten_US
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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