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Analysis of recruit attrition from the Navy's delayed entry program and recruit training command

机译:海军延迟进入计划和新兵训练司令部的新兵减员分析

摘要

This thesis analyzes demographic and assignment factors associated with recruit attrition from the U.S. Navy's Delayed Entry Program (DEP) and Recruit Training Command (RTC). These factors include education credentials, enlistment programs, and women in traditional ratings. The Navy currently screens applicants using three qualification "tiers" based on education credentials. Armed Forces Qualification Test (AFQT) scores are cross-referenced with education tier to create the Navy's Recruit Quality Matrix, which determines enlistment eligibility. The analysis uses the PRIDE database, provided by Commander, Navy Recruiting Command. Trend analyses are used to identify significant changes in enlistment and attrition behavior for recruits who joined from fiscal years 1998 through 2005. Probit regression models are also constructed using these data to identify differences in attrition probabilities. Results show that education credential, time in DEP, gender, marital status, AFQT score, enlistment program, and Navy Recruiting District are significant factors affecting DEP attrition. Analyses of RTC data indicate similar factors are significant when predicting RTC attrition. A tool for screening applicants based on education credential, AFQT score, and age is designed to more accurately predict RTC attrition. Further research is recommended to conduct similar analyses on attrition throughout the first term, and on individual Navy Recruiting Districts.
机译:本文分析了与美国海军延迟入学计划(DEP)和新兵训练司令(RTC)的新兵减员有关的人口统计和分配因素。这些因素包括教育证书,入伍计划和传统等级的妇女。海军目前基于教育证书使用三个资格“等级”筛选申请人。武装部队资格考试(AFQT)分数与教育层相互参照,以创建海军的“征兵质量矩阵”,该矩阵确定入伍资格。该分析使用由海军征兵司令部司令提供的PRIDE数据库。趋势分析用于确定1998年至2005财政年度加入的新兵的入伍和损耗行为的重大变化。还使用这些数据构建了Probit回归模型,以识别损耗概率的差异。结果表明,教育证书,DEP时间,性别,婚姻状况,AFQT分数,入伍计划和海军征募区是影响DEP减员的重要因素。对RTC数据的分析表明,在预测RTC损耗时,相似的因素也很重要。一种基于教育证书,AFQT分数和年龄筛选申请人的工具,旨在更准确地预测RTC损耗。建议对第一学期以及各个海军招募地区的人员流失进行进一步研究。

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  • 作者

    Neuhalfen Jon K.;

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  • 年度 2007
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