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Form, effect size and power in moderated regression analysis
Abstract
This paper presents the results of a simulation study designed to show how a moderator variable affects the form of the relationship between two other variables. Particular attention is paid to the relationship of the strength of a moderator to statistical significance and the magnitude of the increment in R 2 associated with the moderator. The increment in R 2 is viewed as an incomplete measure of the strength of moderator effects. We propose a standardized measure of the strength of moderator effects based on the rate of change in the slope of the regression surface. The relation of sample size and statistical power to this measure is investigated.
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Cited by
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McFarlin, D. B., & Sweeney, P. D. (1992) · Academy of Management Journal · doi:10.2307/256489 · Cited by 1,704
Marsh, H. W., Wen, Z., & Hau, K.-T. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.3.275 · Cited by 1,205
A General Model for Testing Mediation and Moderation Effects
Fairchild, A. J., & MacKinnon, D. P. (2009) · Prevention Science · doi:10.1007/s11121-008-0109-6 · Cited by 918
Nature and nurturing: parenting in the context of child temperament
Kiff, C. J., Lengua, L. J., & Zalewski, M. (2011) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-011-0093-4 · Cited by 658
Metadata
- Authors
- CHAMPOUX, J. E., & PETERS, W. S.
- Venue
- Journal of Occupational Psychology
- Publisher
- Wiley
- Published
- 1987-09
- Volume
- 60
- Issue
- 3
- Pages
- 243-255
- ISSN
- 0305-8107 (ISSN-L)
- OpenAlex
- W2041427544
- Cited by
- 484
- References
- 0
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Form, effect size and power in moderated regression analysis. https://app.cochat.ai/papers/10.1111/j.2044-8325.1987.tb00257.x
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- CHAMPOUX, J. E., & PETERS, W. S. (1987). Form, effect size and power in moderated regression analysis. Journal of Occupational Psychology. https://doi.org/10.1111/j.2044-8325.1987.tb00257.x
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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.