LabCompass

Christopher M. Berry

Business, Management and Accounting · Indiana University

Publications

78

Citations

4,875

Est. group size

Recurring co-author estimate

Active years

23

Publishing since 2003

Research summary
AI-generated

Christopher M. Berry studies how organizations select and evaluate employees, with a strong focus on the validity of hiring tools such as cognitive ability (general mental ability) tests and personality measures. Much of his work uses meta-analysis (statistically combining many prior studies) to examine questions like the trade-off between selecting high performers and maintaining workforce diversity, potential bias in tests against different groups, and the accuracy of supervisor performance ratings.

Personnel selection and hiring test validityDiversity and predictive bias in employee selectionMeta-analysis methodology (e.g., range-restriction corrections)Job performance ratings and evaluationPersonality traits and workplace behavior

Publication activity has been fairly steady over the last decade, averaging around 2-4 papers per year.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 1 publication172018: 5 publications5182019: 2 publications192020: 2 publications202021: 3 publications212022: 4 publications222023: 4 publications232024: 3 publications242025: 1 publication2526
Recent publications
Publishes in
  • Journal of Applied Psychology×9
  • Academy of Management Proceedings×3
  • Industrial and Organizational Psychology×2
  • Journal of Vocational Behavior×1
  • Journal of Management×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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