生物资料库中的群体差异:对生物数据的不利影响潜力的元分析
Andrew P Tenbrink1, Andrew B Speer2, Lauren J Wegmeyer1
1Department of Psychology, Wayne State University.
The Journal of applied psychology
|January 17, 2025
概括
生物数据尺度显示人员选择的人口差异很小,大多数分数在性别,种族和年龄组中显示出很小的变化. 这些发现支持它们在招聘实践中继续使用.
科学领域:
- 工业组织心理学 工业组织心理学
- 人力资源管理 人力资源管理
- 心理测量 心理测量 心理测量
背景情况:
- 生物数据尺度在人员选择中被广泛使用.
- 之前的研究已经产生了不清楚的证据,关于对生物数据规模使用的不利影响.
- 需要澄清人口统计差异和影响生物数据规模得分的上下文因素.
研究的目的:
- 为了确定生物数据尺度分数是否因人口群体 (性别,种族,年龄) 不同.
- 评估影响这些差异的上下文因素 (构建域,评分方法).
- 评估生物数据规模应用中不利影响的程度.
主要方法:
- 对43项研究进行了元分析,包括56个独立样本.
- 在人口统计学类别中估计了群体差异:女性-男性,黑人-白人,西班牙裔-白人,亚裔-白人和年龄.
- 对各种构造领域和人口统计数据进行比较,计算了效应大小 (Cohen's d).
主要成果:
- 大约75%的生物数据尺度得分显示了小组差异 (科恩的d).
- 在不同的构造领域中,人口群体的差异始终很小.
- 与其他选择方法相比,在生物数据尺度中观察到的群体差异相对较小.
结论:
- 生物数据尺度通常在人口群体上表现出最小的不利影响.
- 这些发现支持在人员选择中继续有效地使用生物数据尺度.
- 了解上下文因素可以进一步完善生物数据尺度的应用.
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