R: PCA vs EFA
Please join the upcoming ITC webinar (Oct. 28 11:00 -12:00 EST) to learn key differences between PCA and EFA and how to implement them in R.
Title: R: PCA vs EFA
Date/Time: October 28, Thursday, 11:00 AM – 12:00 PM EST.
Abstract: Should you use Principal Component Analysis (PCA) or Exploratory Factor Analysis (EFA) for your work? This is a common question that researchers working with multivariate data, such as social scientists, medical/health care researchers, or engineers, face on a regular basis.
During this session, I'll explain key differences between PCA and EFA and use "R" packages to implement both techniques and help you figure out which technique is more appropriate for a given application.
Basic knowledge of "R" and statistics are helpful for you to understand the content of this webinar.
A Zoom link will be emailed to all registered participants prior to the webinar.
Registration Link: https://libcal.dartmouth.edu/calendar/itc/rfds2021f1
Look forward to seeing you at the webinar!