Interaction Effects in Multiple Regression
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The commonly held reason for low effect size is the low reliability of the product terms, not the importance of theoretical model relationships.
“The commonly held reason for low effect size is the low reliability of the product terms (Cohen et al. 2003; Jaccard and Turrisi 2003) not the importance of theoretical model relationships (Chin et al. 2003; Lowry et al. 2009).”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Jaccard and Turrisi 2003
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- Authors
- Jaccard, J., & Turrisi, R.
- ORCID
- Jaccard, James
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 2003
- OpenAlex
- W4302769563
- Cited by
- 1,797
- References
- 0
- Citations by year
- 2026: 30 · 2025: 59 · 2024: 62 · 2023: 64 · 2022: 57 · 2021: 72 · 2020: 62 · 2019: 75 · 2018: 97 · 2017: 85 · 2016: 94 · 2015: 83 · 2014: 88 · 2013: 105 · 2012: 109
- FWCI
- 10.19
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Sage eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- interaction effects, multiple linear regression, cross-product terms, moderation, model specification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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