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退役和重新入伍:使用量身定制的适应性人格评估系统 (TAPAS) 来提高保留率
Michael G Hughes1, Erin L O'Brien2, Matthew C Reeder1
1Human Resources Research Organization, Alexandria, Virginia.
概括
这项研究探讨了人格 (TAPAS) 和认知 (AFQT) 测试如何预测陆军入伍退役和重新入伍. 结果表明,这些评估可以改善士兵保留预测.
科学领域:
- 军事心理学 军事心理学
- 人力资源管理 人力资源管理
- 工作人员的选择,人员的选择.
背景情况:
- 士兵退役和重新征兵显著影响陆军劳动力动力.
- 预测哪些士兵完成他们的服务或重新招募仍然是一个挑战.
- 了解预测因素对于有效的人员管理和保留策略至关重要.
研究的目的:
- 评估定制适应性人格评估系统 (TAPAS) 和武装部队资格测试 (AFQT) 对于陆军退役和重新入伍的预测有效性.
- 分析特定的消耗类别 (培训与单位内部) 和随着时间的推移模型消耗.
- 检查整个陆军和特定军事职业专业 (MOS) 的重新招募模式.
主要方法:
- 使用TAPAS,一种非认知测量,以及AFQT,一种认知测试,作为预测变量.
- 根据初步培训和培训后服务期间的分离原因,研究了各种消耗类别.
- 进行了消耗的时间序列分析,并分析了整个陆军和特定MOS的重新招募数据.
主要成果:
- 该研究评估了TAPAS和AFQT在预测士兵退伍和重新征兵方面的有效性.
- 分析包括详细检查训练期间和单位内部的 attrition,以及陆军范围和MOS的重新招募率.
- 调查结果提供了关于人员保留认知和非认知措施的预测能力的见解.
结论:
- 认知 (AFQT) 和非认知 (TAPAS) 测量都显示出预测陆军退伍和重新入伍的潜力.
- 需要进一步的研究,以充分利用这些评估,以改善人员管理和保留.
- 通过经过验证的评估来了解士兵的行为,可以提高劳动力的稳定性和作战准备.
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