Factor Analysis in R

DataCamp
via DataCamp
Explore latent variables, such as personality using exploratory and confirmatory factor analyses.
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The world is full of unobservable variables that can’t be directly measured. You might be interested in a construct such as math ability, personality traits, or workplace climate. When investigating constructs like these, it’s critically important to have a model that matches your theories and data. This course will help you understand dimensionality and show you how to conduct exploratory and confirmatory factor analyses. With these statistical techniques in your toolkit, you’ll be able to develop, refine, and share your measures. These analyses are foundational for diverse fields including psychology, education, political science, economics, and linguistics.

Instructor(s)

Jennifer Brussow
DataCamp
via DataCamp
Free Trial Available
English
4 Hours
Self paced