New Course: Factor Analysis in R

[This article was first published on DataCamp Community - r programming, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Here is the course link.

Course Description

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.

Chapter 1: Evaluating your measure with factor analysis (Free)

In Chapter 1, you will learn how to conduct an EFA to examine the statistical properties of a measure designed around one construct.

Chapter 2: Multidimensional EFA

This chapter will show you how to extend the single-factor EFA you learned in Chapter 1 to multidimensional data.

Chapter 3: Confirmatory Factor Analysis

This chapter will cover conducting CFAs with the sem package. Both theory-driven and EFA-driven CFA structures will be covered.

Chapter 4: Refining your measure and/or model

This chapter will reinforce the difference between EFAs and CFAs and offer suggestions for improving your model and/or measure.


To leave a comment for the author, please follow the link and comment on their blog: DataCamp Community - r programming. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)