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Saved by the biodata: Meta-analytic relationships between biodata scores and student success
Journal of Vocational Behavior ( IF 11.1 ) Pub Date : 2023-03-06 , DOI: 10.1016/j.jvb.2023.103863
Andrew B. Speer, Andrew P. Tenbrink, Lauren J. Wegmeyer, Caitlynn C. Sendra

Biodata inventories are standardized questionnaires about a person's history (past behaviors and events in one's life). They are among the most predictive pre-employment assessment methods to hire job applicants, and their use extends beyond just in work settings. Biodata inventories have also been used for high stakes school admissions, and if strongly related to school success, may be useful measures to supplement other assessment methods within larger admissions programs. However, there are limits to knowledge regarding the criterion-related validity of biodata scores. This study examined the validity of biodata inventory scores in the prediction of school success according to two major moderators: scoring method (e.g., rational, or empirical) and construct domain. Isolating to studies that met strict requirements for inclusion, there were a total of 38 independent effects of the relationship between biodata scores and school success (grade point average or teaching ratings). Results showed that the relationship between biodata inventory scores and academic success was strong, with an average validity coefficient of 0.45 for academic achievement scales. Furthermore, validity varied as a function of scoring method. Empirical biodata scores correlated 0.50 with school success, whereas validity was .26 when rationally scored. These results make empirically scored biodata one of the most predictive admissions tools available, exceeding even the validity of grade point average and standardized test scores. Given these findings, biodata inventories should be more frequently considered for use as supplementary additions to existing admissions procedures, though as we discuss, there may be challenges to implementation in applicant settings.



中文翻译:

由生物数据保存:生物数据分数与学生成功之间的元分析关系

生物数据清单是关于一个人的历史(过去的行为和生活中的事件)的标准化问卷。它们是雇用求职者最具预测性的就业前评估方法之一,而且它们的用途不仅仅局限于工作环境。生物数据清单也已用于高风险学校招生,如果与学校成功密切相关,则可能是补充大型招生计划中其他评估方法的有用措施。然而,关于生物数据评分的标准相关有效性的知识是有限的。本研究根据两个主要调节因素检验了生物数据清单分数在预测学校成功中的有效性:评分方法(例如,理性或经验)和构造域。隔离符合严格要求的研究,生物数据分数与学校成功(平均绩点或教学评级)之间的关系共有 38 个独立影响。结果表明,生物数据清单分数与学业成功之间的关系很强,学业成就量表的平均有效性系数为 0.45。此外,有效性随着评分方法的变化而变化。实证生物数据得分与学校成功的相关性为 0.50,而合理评分时的有效性为 0.26。这些结果使根据经验评分的生物数据成为可用的最具预测性的录取工具之一,甚至超过了平均绩点和标准化考试成绩的有效性。鉴于这些发现,应更频繁地考虑将生物数据清单用作现有录取程序的补充,尽管正如我们所讨论的那样,

更新日期:2023-03-06
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