Presenter: Brian Fogarty
This workshop will demonstrate linear regression modeling in R using social science data. Linear regression is considered the “backbone” of quantitative social science and provides the grounding and framework for understanding advanced regression models. The topics covered include:
- Wrangling data in R
- Model fit, statistical significance, and regression coefficient interpretation
- Visualizations of regression coefficients
- Testing OLS assumptions
The workshop is designed for individuals with experience using linear regression in other statistical software (e.g., Stata, SPSS) and want to learn how to run linear regression models in R. Further, it is assumed that individuals have a basic understanding of R. The workshop is open to undergraduate students, graduate students, faculty, and staff. Although the workshop uses social science data, people from other disciplines are welcome to attend.
This workshop will be offered on Zoom. There is a limit of 15 participants for this workshop. Register Now!
Registration must be completed by Monday, February 28th.
More details about the workshop can be found here.