Cited by 136Statistical Methods and ApplicationsStatistical Methods and Bayesian InferenceAdvanced Statistical Methods and Models

Cautions Regarding the Interpretation of Regression Coefficients and Hypothesis Tests in Linear Models with Interactions

Hayes, Andrew F., Glynn, Carroll J., Huge, Michael E.·2012·Communication Methods and Measures

Abstract

Manuscripts submitted to Communication Methods and Measures and most empirical journals in the field of communication frequently rely on some kind of linear model in the data analysis. Most of the ...

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Crossref · 10.1080/19312458.2012.651415

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1 of 1 references verified0 citation errors · 0 not checkable

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Authors
Hayes, A. F., Glynn, C. J., & Huge, M. E.
Affiliations
The Ohio State University (US)
Corresponding author
Hayes, Andrew F.
Venue
Communication Methods and Measures
Published
2012-01
Volume
6
Issue
1
Pages
1-11
ISSN
  • 1931-2458 (ISSN-L)
  • 1931-2466
OpenAlex
W2021665578
Cited by
136
References
1
Citations by year
2026: 3 · 2025: 12 · 2024: 9 · 2023: 15 · 2022: 8 · 2021: 5 · 2020: 6 · 2019: 12 · 2018: 8 · 2017: 16 · 2016: 8 · 2015: 10 · 2014: 12 · 2013: 9 · 2012: 3
FWCI
10.39
Type
journal article
Language
en
Open access
closed
Locations
Communication Methods and Measures (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
Keywords
regression coefficients, hypothesis testing, interaction effects, linear models, statistical interpretation, communication research

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