Lucy Training: Binary Logit & Probit Models in R

Presenter: Brian Fogarty

This workshop focuses on regression techniques when your outcome variable is binary.  Social science research often deals with binary outcome variables, and analyzing them requires using regression techniques that differ from the traditional linear regression model.  We will examine binary logit and binary probit regression models in R during this workshop.

The topics covered during the workshop include:

  • Binary logit & probit regression models
  • Statistical significance and regression coefficient interpretation
  • Visualizations of regression coefficients

The workshop is designed for individuals with experience using binary logit and probit models in other statistical software (e.g., Stata, SPSS) and want to learn how to run them in R. Further, it is assumed that individuals have a basic understanding of R. We will also be using R Markdown, but it is not critical for learning the material. 

This workshop will be offered in-person in Hesburgh Library. There is a limit of 15 participants for this workshop.  Register Now!

Registration must be completed by Monday, September 18th.

More details about the workshop can be found here.