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Predicting Voluntary Turnover from Job Applicant Biodata and Other Applicant Information

机译:根据求职者的生物数据和其他应聘者信息预测自愿离职

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摘要

Research suggests that biodata (i.e., personal history information) is one of the best predictors of voluntary employee turnover. Given this fact, it is surprising that research on biodata has declined in recent years, and that biodata is not commonly used by employers for selecting employees. This article presents the results of a study that focused on the ability of biodata items and other information available on job applicants to predict voluntary turnover. With one exception, the hypotheses offered were confirmed. Specifically, applicant status (i.e., previously had applied for a job), submission of optional personal history information, employment status (i.e., job applicant was employed), and recruitment source (i.e., employee referral) all predicted voluntary turnover. The ability of applicant status, submission of a personal statement, and recruitment source to predict employee performance also was examined. Applicant status and recruitment source were found to predict subsequent performance ratings.
机译:研究表明,生物数据(即个人历史信息)是自愿员工离职的最佳预测指标之一。鉴于这一事实,令人惊讶的是,近年来对生物数据的研究有所下降,而且雇主通常不使用生物数据来选择雇员。本文介绍了一项研究结果,该研究专注于生物数据项目和求职者可获得的其他信息预测自愿离职的能力。除了一个例外,所提供的假设得到确认。具体来说,申请人身份(即以前曾申请过的工作),可选个人历史信息的提交,就业状况(即已聘用求职者)和招聘来源(即员工转介)都预测了自愿离职。还检查了申请人身份,个人陈述的提交以及招聘来源来预测员工绩效的能力。发现申请人的身份和招聘来源可以预测随后的绩效等级。

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