CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression

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)...

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Main Authors: Stephen W. Carden, Nicholas S. Holtzman, Michael J Strube
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-07-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01293/full
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author Stephen W. Carden
Nicholas S. Holtzman
Michael J Strube
author_facet Stephen W. Carden
Nicholas S. Holtzman
Michael J Strube
author_sort Stephen W. Carden
collection DOAJ
description 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.
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spelling doaj.art-70697a8172ca4342b4ef62b62cceccca2022-12-21T18:26:29ZengFrontiers Media S.A.Frontiers in Psychology1664-10782017-07-01810.3389/fpsyg.2017.01293271128CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple RegressionStephen W. Carden0Nicholas S. Holtzman1Michael J Strube2Department of Mathematical Sciences, Georgia Southern UniversityStatesboro, GA, United StatesDepartment of Psychology, Georgia Southern UniversityStatesboro, GA, United StatesDepartment of Psychological and Brain Sciences, Washington University in St. LouisSt. Louis, MO, United StatesWhen 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.http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01293/fullmoderationjohnson-neymaninteractionsprobing interactionsmultiple regression
spellingShingle Stephen W. Carden
Nicholas S. Holtzman
Michael J Strube
CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression
Frontiers in Psychology
moderation
johnson-neyman
interactions
probing interactions
multiple regression
title CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression
title_full CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression
title_fullStr CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression
title_full_unstemmed CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression
title_short CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression
title_sort cahost an excel workbook for facilitating the johnson neyman technique for two way interactions in multiple regression
topic moderation
johnson-neyman
interactions
probing interactions
multiple regression
url http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01293/full
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