Exploratory factor analysis with Stata (Jan 2023; see links under video description)

In this video, I walk through steps involved in performing an exploratory factor analysis using Stata. I begin with a review of how to determine factorability of a correlation matrix; then I proceed to demonstration of strategies for determining the number of factors that may account for the interrelationships among your measured variables; following we force a solution with the number of factors identified in the previous step and interpret rotated loadings. Throughout the presentation, I demonstrate steps by writing syntax into a Do-File in the hopes that you consider this approach in the future, particularly when carrying out more complex analyses. Here is a link to information on a very useful book on EFA with Stata: www.stata.com/bookstore/step-...
You can download a copy of the data here:
drive.google.com/file/d/1Ei52...
You can download a copy of the Do-file I wrote here:
drive.google.com/file/d/1Y61k...
You can download a Powerpoint presentation (for more detail) here:
drive.google.com/file/d/1iDnI...
Be sure to check out my online sites at:
www.drmcstats.net/
sites.google.com/view/statist...

[@bradd.7829]

Thank you very much, Mike. Very helpful. The only other piece that would help me would be to see an example at the end of your video for how specifically to write this up for a report.

[@gracea2895]

Mike, thanks so much for putting together all this information. Would you please create a follow-up video where you show how, after identifying the underlying theme within variables (in your example, Spacial and Verbal), how to name/label those 2-factor correlations in Stata? I would like to see what that looks like since I'll be running regression models where I'd be using those 2 Factor correlations as my dependent variable. Let me know what you think? Thanks again.

[@siying0325]

Thanks so much for this helpful explanation and demo!

[@beneberuteferra1870]

Thank you so much, Dr. Great video

[@mikecrowson2462]

Glad it was helpful!

[@khabirahmad3632]

This is excellent

[@AcademicWritingWith_Odame]

This is helpful. Kindly do this in SPSS. Thank you

[@goncalobras9033]

Thank you. For longitudinal factor analysis, we've just previously to declare a panel dataset 'xtset' keeping all the procedures you presented here? Thank you in advance!

[@rayindaputri1656]

Great video! May I ask can I use this method when my dataset contains of dumny and continuous data type? Thank you very much in advance 🙏🙏