Estimating the nonlinear and interactive effects of latent variables.

Kenny, David A., Judd, Charles M.·1984·Psychological Bulletin
DOI 10.1037//0033-2909.96.1.201

Cited by (28)

  1. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations
    Baron, Reuben M., Kenny, David A. · 1986 · Journal of Personality and Social Psychology
  2. 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
  3. Practical issues in structural modeling
    BENTLER, P. M., CHOU, CHIH-PING · 1987 · Sociological Methods & Research
  4. Dynamic causal modelling
    Friston, K.J., Harrison, L., Penny, W. · 2003 · NeuroImage
  5. Statistical difficulties of detecting interactions and moderator effects.
    McClelland, Gary H., Judd, Charles M. · 1993 · Psychological Bulletin

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This page
CoChat. (2026). Citation check: Estimating the nonlinear and interactive effects of latent variables. https://app.cochat.ai/papers/10.1037//0033-2909.96.1.201
The paper
Kenny, D. A., & Judd, C. M. (1984). Estimating the nonlinear and interactive effects of latent variables. Psychological Bulletin. https://doi.org/10.1037//0033-2909.96.1.201

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.