Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2026

Abstract

Here we review recent work in the personnel selection field. We open with two sections, the first focusing on meta-analytic validity research on well-established predictors and the second on new measurement approaches. These include moving from a holistic to a modular view of predictors; from face-to-face to asynchronous video interviews; from resumes to social media assessments; from multiple choice to constructed response; and to using artificial intelligence to develop, administer, and score tests, among approaches. We then review developments in estimating validity, including issues in correcting validity estimates for error of measurement and restriction of range. We address technical issues on the topics of fairness and bias, including Pareto optimization, effect size measures for predictive bias, and approaches to algorithmic bias mitigation, and offer insight into addressing the validity-diversity dilemma. We then discuss insights into applicant reactions to selection systems and perspectives of other stakeholders in the selection process.

Keywords

selection, meta-analysis, validity, fairness, bias, applicant reactions, AI

Discipline

Human Resources Management | Organizational Behavior and Theory

Research Areas

Organisational Behaviour and Human Resources

Publication

Annual Review of Organizational Psychology and Organizational Behavior

Volume

13

Issue

1

First Page

49

Last Page

75

ISSN

2327-0608

Identifier

10.1146/annurev-orgpsych-020924-072127

Publisher

Annual Reviews

Copyright Owner and License

Authors-CC-BY

Creative Commons License

Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

Additional URL

https://doi.org/10.1146/annurev-orgpsych-020924-072127

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