Presenter: Brian Fogarty
This workshop focuses on regression techniques when your outcome variable is not continuous. Such outcome variables are considerably more common in social science data than continuous outcome variables. We will examine unordered and count outcome variable regression models in this workshop.
The topics covered during the workshop include:
- Unordered outcome models (multinomial logit/probit)
- Count outcome models (Poisson and negative binomial)
- Statistical significance and regression coefficient interpretation
- Visualizations of regression coefficients
The workshop is designed for individuals with experience using generalized linear regression in other statistical software (e.g., Stata, SPSS) and want to learn how to run generalized linear regression models 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 Wednesday, January 25th.
More details about the workshop can be found here.
Originally published at lucyinstitute.nd.edu.