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dc.contributor.advisorKoyak, Robert A.
dc.contributor.authorMcCaleb. Ben E., III
dc.date16-Jun
dc.date.accessioned2016-08-02T19:33:36Z
dc.date.available2016-08-02T19:33:36Z
dc.date.issued2016-06
dc.identifier.urihttp://hdl.handle.net/10945/49342
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThis thesis investigates how Marine recruit information available at entry can be used to predict which occupational field (OCCFLD) is best suited to an individual and if a Marine successfully completes the first term of enlistment. Multinomial regression models are developed to calculate estimated probabilities that a given recruit will attain United States Marine Corps (USMC) Computed Reenlistment Tiers I, II, III, or IV in a particular OCCFLD. Optimization of OCCFLD assignment based on the developed models illustrates the potential value of insight gained from recruit information available prior to enlistment. The relationship of recruit characteristics available prior to enlistment and the USMC Computed Tier Score assigned in the last year of a Marine's first enlistment is dependent upon the OCCFLD assigned. We recommend identifying OCCFLDs with the highest estimated probabilities of Tier I or Tier II attainment at the recruitment phase. Providing recruits and recruiters a tool that provides estimated probabilities of attaining Tier I or Tier II in descending order for each OCCFLD during initial assignment has the potential to increase the caliber of Marines across all OCCFLDs and to aid in assessing the current OCCFLD assignment practices.en_US
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.titleIdentifying U.S. Marine Corps recruit characteristics that correspond to success in specific occupational fieldsen_US
dc.typeThesisen_US
dc.contributor.secondreaderSeagren, Chad W.
dc.contributor.departmentOperations Researchen_US
dc.subject.authorassignmenten_US
dc.subject.authorASVABen_US
dc.subject.authorfirst term enlistmenten_US
dc.subject.authorMOSen_US
dc.subject.authorMultinomial Elastinet Regressionen_US
dc.subject.authorOCCFLDen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceCaptain, United States Marine Corpsen_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


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