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.

October 28, 2021
11 am - 12 pm
Location
Zoom
Sponsored by
Information Technology Services
Audience
Public
Registration required
More information
Jianjun Hua

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!

 

Location
Zoom
Sponsored by
Information Technology Services
Audience
Public
Registration required
More information
Jianjun Hua