Latent Class Analysis Using R

Instructor
Boriana Pratt is a Statistical Programmer at the Office of Population Research at Princeton University.  She earned a Masters degree in Biostatistics from the University of California at Berkeley.
Time/Place
1/14/2020 from 10:30 AM to 12:00 PM ~ 300 Wallace Hall
Description

Latent Class Analysis is a statistical method for finding subtypes of related cases (latent classes) from multivariate categorical data. In this workshop the method will be explained through an example in R. Participants are welcome to bring a laptop (with R already installed). 

Format

Lecture and discussion with example

Requirements

Attendees are encouraged to bring a laptop with R already installed. Having RStudio and the package poLCA installed would be helpful, but not necessary. If you do not have access to a laptop, you are still welcome to attend and will be able to learn about the LCA method.

Downloads
Presentation (PDF)
R Script (Zip)
Data File (Zip)