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Form, effect size and power in moderated regression analysis

CHAMPOUX, JOSEPH E., PETERS, WILLIAM S.·1987·Journal of Occupational Psychology

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