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Developing a Procedure to Correct for Range Restriction That Involves Both Institutional Selection and Applicants' Rejection of Job Offers

机译:制定程序以纠正涉及机构选择和申请人拒绝工作机会的范围限制

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摘要

A common research problem in validation studies is the estimation of the population correlation between predictor X and performance Y from a non-randomly selected sample. Procedures for getting unbiased estimates of population correlations in a limited set of conditions in which no rejection of job offers is assumed have been developed. However, in applied selection settings, it is very likely that some of the candidates who have received job offers reject them through a self-selection process. If an estimation model based on the assumption that there is no rejection of job offers via self-selection is used, estimates of population parameters may be biased due to model misspecification. In the current study, a procedure is developed that is applicable to a variety of realistic validation settings, including a setting in which both institutional selection and applicant's rejection of job offers are involved. Data requirements of the procedure are also discussed.
机译:验证研究中的一个常见研究问题是,从非随机选择的样本中估算预测变量X和绩效Y之间的总体相关性。已经开发出了在有限的条件下获得无偏估计的人口相关性的程序,在这些条件下假定不拒绝工作。但是,在应用的选择设置中,很可能有些接受工作邀请的候选人会通过自选过程拒绝他们。如果使用基于不存在通过自我选择拒绝工作机会的假设的估计模型,则由于模型错误指定,总体参数的估计可能会有偏差。在当前的研究中,开发了一种适用于各种实际验证设置的程序,包括涉及机构选择和申请人拒绝工作邀请的设置。还讨论了程序的数据要求。

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