CAHOST: An excel workbook for facilitating the Johnson-Neyman technique for two-way interactions in multiple regression

Stephen W. Carden, Nicholas S. Holtzman, Michael J. Strube

Research output: Contribution to journalArticlepeer-review

129 Scopus citations
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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.

Original languageEnglish
Article number1293
JournalFrontiers in Psychology
Volume8
Issue numberJUL
DOIs
StatePublished - Jul 28 2017

Scopus Subject Areas

  • General Psychology

Keywords

  • Interactions
  • Johnson-neyman
  • Moderation
  • Multiple regression
  • Probing interactions

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