Saved by the biodata: Meta-analytic relationships between biodata scores and student success

IF 5.2 1区 心理学 Q1 PSYCHOLOGY, APPLIED
Andrew B. Speer, Andrew P. Tenbrink, Lauren J. Wegmeyer, Caitlynn C. Sendra
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引用次数: 0

Abstract

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.

被生物数据拯救:生物数据得分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(过去的行为和事件)的标准化问卷。它们是招聘求职者最具预测性的职前评估方法之一,而且它们的用途不仅仅局限于工作环境。生物数据清单也被用于高风险的学校录取,如果与学校成功密切相关,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。本研究考察了生物数据量表得分在预测学业成功方面的有效性,根据两个主要调节因素:评分方法(如理性或经验)和结构域。除了符合严格纳入要求的研究外,总共有38个生物数据分数与学校成功(平均绩点或教学评分)之间关系的独立影响。结果表明,生物数据量表得分与学业成功的关系较强,学业成就量表的平均效度系数为0.45。此外,效度随评分方法的不同而变化。经验生物数据得分与学业成绩的相关系数为0.50,而理性得分的效度为0.26。这些结果使经验得分的生物数据成为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,应该更频繁地考虑将生物数据清单作为现有招生程序的补充,尽管正如我们所讨论的,在申请人环境中实施可能存在挑战。
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来源期刊
Journal of Vocational Behavior
Journal of Vocational Behavior PSYCHOLOGY, APPLIED-
CiteScore
13.10
自引率
5.40%
发文量
85
期刊介绍: The Journal of Vocational Behavior publishes original empirical and theoretical articles offering unique insights into the realms of career choice, career development, and work adjustment across the lifespan. These contributions are not only valuable for academic exploration but also find applications in counseling and career development programs across diverse sectors such as colleges, universities, business, industry, government, and the military. The primary focus of the journal centers on individual decision-making regarding work and careers, prioritizing investigations into personal career choices rather than organizational or employer-level variables. Example topics encompass a broad range, from initial career choices (e.g., choice of major, initial work or organization selection, organizational attraction) to the development of a career, work transitions, work-family management, and attitudes within the workplace (such as work commitment, multiple role management, and turnover).
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