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)...
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 |
Similar Items
-
Violation of the homogeneity of regression slopes assumption in ANCOVA for two-group pre-post designs: Tutorial on a modified Johnson-Neyman procedure
by: Johnson, Teresa R.
Published: (2016-10-01) -
Quantifying the Interaction Effects of Climatic Factors on Vegetation Growth in Southwest China
by: Meng Wang, et al.
Published: (2023-01-01) -
Analysis of Long-Term Trend of Stream Flow and Interaction Effect of Land Use and Land Cover on Water Yield by SWAT Model and Statistical Learning in Part of Urmia Lake Basin, Northwest of Iran
by: Mohamad Sakizadeh, et al.
Published: (2023-02-01) -
Associations between a Leader's Work Passion and an Employee's Work Passion: A Moderated Mediation Model
by: Jingjing Li, et al.
Published: (2017-08-01) -
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification
by: Basarbatu Can, et al.
Published: (2020-01-01)