CAHOST Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple RegressionFrontiers in Psychology (2017)
When using multiple regression, researchers frequently wish to explore how the relationship between two variables is moderated by another variable; this is termed an interaction. Historically, two approaches have been used to probe interactions: the pick-a-point approach and the Johnson-Neyman (JN) technique. The pick-a-point
approach has limitations that can be avoided using the JN technique. Currently, the software available for implementing the JN technique and creating corresponding ﬁgures lacks several desirable features–most notably, ease of use and ﬁgure quality. To ﬁll this gap in the literature, we offer a free Microsoft Excel 2013 workbook, CAHOST (a concatenation of the ﬁrst two letters of the authors’ last names), that allows the user to seamlessly create publication-ready ﬁgures of the results of the JN technique.
- Probing interactions,
- Multiple regression
Publication DateJuly 28, 2017
Citation InformationStephen W. Carden, Nicholas S. Holtzman and Michael J Strube. "CAHOST Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression" Frontiers in Psychology Vol. 8 Iss. 1293 (2017) p. 1 - 7 ISSN: 1664-1078
Available at: http://works.bepress.com/stephen_carden/6/