Dummy Coding and Effect Coding in Regression Models

Sooner or later, every researcher needs to include categorical predictors in a regression model. There are different coding schemes that make it possible to interpret the coefficients of these categorical predictors. This webinar will explain and compare two of the most popular: dummy coding and effect coding.

In one hour you will learn:

  • the difference between dummy coding and effect coding
  • how to do each for both binary and multicategory predictors
  • how to interpret the regression coefficients in both coding schemes
  • why it’s important to be able to use both

We’ll run through an example or two to show how the same information is presented in different ways under the two coding schemes, and how ANOVA, which uses effect coding, and regression, which uses dummy coding, are really two sides of the same coin.

What you will receive:

1. A Downloadable 60-minute Video: Dummy Coding and Effect Coding in Regression Models

2. 9-page Handout: Dummy and Effect Coding in Regression

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