Analytic Resources

Interactions and Moderation

Advanced Statistics Using R - Moderation Analysis (by Zhang and Wang)

A great overview of how to test an interaction and moderator using regression using from an open-source textbook.

Running and Plotting Regression Interactions (by Callie Silver)

A nice overview of how to examine and plot interactions in R using a variety of packages in R from an open-source textbook.

8.3 Interactions Between Independent Variables | Introduction to Econometrics with RBeginners with little background in statistics and econometrics often have a hard time understanding the benefits of having programming skills for learning and applying Econometrics. ‘Introduction to Econometrics with R’ is an interactive companion to the well-received textbook ‘Introduction to Econometrics’ by James H. Stock and Mark W. Watson (2015). It gives a gentle introduction to the essentials of R programming and guides students in implementing the empirical applications presented throughout the textbook using the newly aquired skills. This is supported by interactive programming exercises generated with DataCamp Light and integration of interactive visualizations of central concepts which are based on the flexible JavaScript library D3.js.

Marin: Multiple Linear Regression with Interaction in R (7:15)

Marin: Interpreting Interaction in Linear Regression with R (6:42)

Jacob Long- Exploring interactions with continuous predictors in regression models (Interactions package)

The interactions package provides several functions that can help analysts probe more deeply.
- This includes simple slopes analysis, graphing the interactions, and Johnson-Neyman intervals

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