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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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Detalles Bibliográficos
Autores principales: Carden, Stephen W., Holtzman, Nicholas S., Strube, Michael J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532434/
https://www.ncbi.nlm.nih.gov/pubmed/28804471
http://dx.doi.org/10.3389/fpsyg.2017.01293
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author Carden, Stephen W.
Holtzman, Nicholas S.
Strube, Michael J
author_facet Carden, Stephen W.
Holtzman, Nicholas S.
Strube, Michael J
author_sort Carden, Stephen W.
collection PubMed
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 pubmed-55324342017-08-11 CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in Multiple Regression Carden, Stephen W. Holtzman, Nicholas S. Strube, Michael J Front Psychol Psychology 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. Frontiers Media S.A. 2017-07-28 /pmc/articles/PMC5532434/ /pubmed/28804471 http://dx.doi.org/10.3389/fpsyg.2017.01293 Text en Copyright © 2017 Carden, Holtzman and Strube. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Carden, Stephen W.
Holtzman, Nicholas S.
Strube, Michael J
CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for Two-Way Interactions in 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 Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532434/
https://www.ncbi.nlm.nih.gov/pubmed/28804471
http://dx.doi.org/10.3389/fpsyg.2017.01293
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