Employment testing: Old theories and new research findings.
Schmidt, Frank L., Hunter, John E.·1981·American Psychologist
Cites (2)
- Primary, Secondary, and Meta-Analysis of ResearchGLASS, GENE V · 1976 · Educational Researcher
- Development and test of a new model for validity generalization.Callender, John C., Osburn, H. G. · 1980 · Journal of Applied Psychology
Cited by (14)
- The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings.Schmidt, Frank L., Hunter, John E. · 1998 · Psychological Bulletin
- Validity and utility of alternative predictors of job performance.Hunter, John E., Hunter, Ronda F. · 1984 · Psychological Bulletin
- Effect Size and Power in Assessing Moderating Effects of Categorical Variables Using Multiple Regression: A 30-Year Review.Aguinis, Herman, Beaty, James C., Boik, Robert J., Pierce, Charles A. · 2005 · Journal of Applied Psychology
- A meta-analysis of the relation between personality traits and leadership perceptions: An application of validity generalization proceduresLord, Robert G., de Vader, Christy L., Alliger, George M. · 1986 · Journal of Applied Psychology
- What do data really mean? Research findings, meta-analysis, and cumulative knowledge in psychology.Schmidt, Frank L. · 1992 · American Psychologist
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Employment testing: Old theories and new research findings. https://app.cochat.ai/papers/10.1037//0003-066x.36.10.1128
- The paper
- Schmidt, F. L., & Hunter, J. E. (1981). Employment testing: Old theories and new research findings. American Psychologist. https://doi.org/10.1037//0003-066x.36.10.1128
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.