A Tutorial on Testing, Visualizing, and Probing an Interaction Involving a Multicategorical Variable in Linear Regression Analysis
By Andrew F. Hayes, A. Montoya. 2017
393 citations recorded by the source corpus.
Subfields: Literature and Literary Theory, Social Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/b82ab7972a1432717d827e95c9f6d0b69c4334e0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Literature and Literary Theory
In Social Psychology
- Francis L. Huang
- A. Olsen
- Andrew F. Hayes
- Kristopher J Preacher
- Mei-Lin Chang
- Thomas W. H. Ng
- F. Sirois
- Gökmen Arslan
In Sociology and Political Science
- Francis L. Huang
- A. Olsen
- Andrew F. Hayes
- Kristopher J Preacher
- Nicholas J. Rockwood
- L. Leibovich
- M. Shorer
- Jennifer S. Mueller
Citations in the corpus
- Teacher job satisfaction by principal support and teacher cooperation: Results from the Schools and Staffing Survey (2019, methodology): “To better understand the moderation effects in Model 3, the interactions were probed using simple slopes analysis as suggested by Hayes and Montoya (2017).”
- Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation (2018, background): “Hayes and Preacher (2014) discuss mediation analysis with a multicategorical X, and Hayes and Montoya (2017) provide a tutorial on moderation analysis when one of the variables (moderator or independent variable) is multicategorical and the other is continuous or dichotomous.”