R - Binary Logistic Multilevel Models

Lecturer: Dr. Erin M. Buchanan
Harrisburg University of Science and Technology
Fall 2019

This video covers binary logistic regression + multilevel models in R using glmer and the lme4 package. I cover an example of a project that our research lab has under review. We talk about assumptions, visualize the data, and then run through a logistic regression: null model no predictors, null model with random intercepts, fixed effects and random intercepts, and a full model of random intercepts/slopes and fixed effects.

There are links to other materials provided in the video, but go here https://osf.io/2zq9d/ to find the markdown so you can have those links fully.