Relations between measures of typical and maximum job performance.

Sackett, Paul R., Zedeck, Sheldon, Fogli, Larry·1988·Journal of Applied Psychology

Cited by (12)

  1. Transformational leadership, transactional leadership, locus of control, and support for innovation: Key predictors of consolidated-business-unit performance.
    Howell, Jane M., Avolio, Bruce J. · 1993 · Journal of Applied Psychology
  2. The Cognitive Reflection Test as a predictor of performance on heuristics-and-biases tasks
    Toplak, Maggie E., West, Richard F., Stanovich, Keith E. · 2011 · Memory & Cognition
  3. Comparative analysis of the reliability of job performance ratings.
    Viswesvaran, Chockalingam, Ones, Deniz S., Schmidt, Frank L. · 1996 · Journal of Applied Psychology
  4. When Conscientious Employees Meet Intelligent Machines: An Integrative Approach Inspired by Complementarity Theory and Role Theory
    Man Tang, Pok, Koopman, Joel, McClean, Shawn T., Zhang, Jack H., Li, Chi Hon, De Cremer, David, Lu, Yizhen, Ng, Chin Tung Stewart · 2022 · Academy of Management Journal
  5. Vocational Interests and Performance: A Quantitative Summary of Over 60 Years of Research
    Nye, Christopher D., Su, Rong, Rounds, James, Drasgow, Fritz · 2012 · Perspectives on Psychological Science

See all 305

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Relations between measures of typical and maximum job performance. https://app.cochat.ai/papers/10.1037//0021-9010.73.3.482
The paper
Sackett, P. R., Zedeck, S., & Fogli, L. (1988). Relations between measures of typical and maximum job performance. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.73.3.482

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.