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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.
Afiliação
  • Carden SW; Department of Mathematical Sciences, Georgia Southern UniversityStatesboro, GA, United States.
  • Holtzman NS; Department of Psychology, Georgia Southern UniversityStatesboro, GA, United States.
  • Strube MJ; Department of Psychological and Brain Sciences, Washington University in St. LouisSt. Louis, MO, United States.
Front Psychol ; 8: 1293, 2017.
Article em En | MEDLINE | ID: mdl-28804471
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article