Document Type
Article
Publication Date
7-28-2017
Publication Title
Frontiers in Psychology
DOI
https://doi.org/10.3389/fpsyg.2017.01293
ISSN
1664-1078
Abstract
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.
Recommended Citation
Carden, Stephen W., Nicholas S. Holtzman, Michael J. Strube.
2017.
"CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression."
Frontiers in Psychology, 8: 1-7.
doi: https://doi.org/10.3389/fpsyg.2017.01293 source: https://www.frontiersin.org/articles/10.3389/fpsyg.2017.01293/full#h1
https://digitalcommons.georgiasouthern.edu/psych-facpubs/117
Comments
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