Statistical tests for moderator variables: Flaws in analyses recently proposed.

Lee J. Cronbach·1987·Psychological Bulletin

Cited by (30)

  1. A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study
    Chin, Wynne W., Marcolin, Barbara L., Newsted, Peter R. · 2003 · Information Systems Research
  2. Does Doing Good Always Lead to Doing Better? Consumer Reactions to Corporate Social Responsibility
    Sen, Sankar, Bhattacharya, C.B. · 2001 · Journal of Marketing Research
  3. Testing moderator and mediator effects in counseling psychology research.
    Frazier, Patricia A., Tix, Andrew P., Barron, Kenneth E. · 2004 · Journal of Counseling Psychology
  4. SOMETHING OLD, SOMETHING NEW: A LONGITUDINAL STUDY OF SEARCH BEHAVIOR AND NEW PRODUCT INTRODUCTION.
    Katila, R., Ahuja, G. · 2002 · Academy of Management Journal
  5. Statistical difficulties of detecting interactions and moderator effects.
    McClelland, Gary H., Judd, Charles M. · 1993 · Psychological Bulletin

See all 997

How to cite

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

This page
CoChat. (2026). Citation check: Statistical tests for moderator variables: Flaws in analyses recently proposed. https://app.cochat.ai/papers/10.1037//0033-2909.102.3.414
The paper
Cronbach, L. J. (1987). Statistical tests for moderator variables: Flaws in analyses recently proposed. Psychological Bulletin. https://doi.org/10.1037//0033-2909.102.3.414

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.