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

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121 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 languageAmerican English
JournalFrontiers in Psychology
Volume8
DOIs
StatePublished - Jul 28 2017

Keywords

  • CAHOST
  • Excel workbook
  • Johnson-Neyman technique
  • Multiple regression
  • Two-way interactions

DC Disciplines

  • Psychology
  • Psychiatry and Psychology

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