Workshop: Variable Selection Methods for Psychological Research

Variable selection methods are useful when a researcher isn’t sure which predictors belong in their model. In this workshop we will review and compare classic and modern approaches to address this age-old problem, including LASSO regularization and Bayesian methods. We will also discuss missing data and approaches for longitudinal data.
---> PREREQUISITES:
Familiarity with linear regression
Bring a laptop with up-to-date versions of R and Rstudio (optional)