R Tutorial: Exploratory Factor Analysis (EFA)

This video shows you how to run an exploratory factor analysis in R and how to write it up

[raswaking]

Thank you, very useful! One comment, the link that would have the code does not seem to be correct

[kobeoncount]

Thank you very much for the great lecture. I have a question:

I run the same test with my Likert-scale data (203 responses, 20 questions/ nfactors = 20). In this first test, there were 6 factors with the eigenvalue 1.00 or more. Then, I did the test again just like you (nfactors = 6), and this time there were 5 factors with the eigenvalue 1.00 or more, and not 6 (one of the factors was 0.95 now). In this case, should I take these 5 factors with the eigenvalue 1.00 or more, or should I take 6 of them?

[ebnouseyid]

Thanks for the wonderful lecture.
I have two questions in EFA:
First question:
The assumption in EFA, that the measurement errors are not correlated between them isn't valid in reality?
Second question:
Can you send me in Data under which if I apply EFA I find heywood cases.

[mostafaalaywan]

thank you for this video.
i have a question please
in EFA we have to determine the factoring method, but you didn't, why ? . thank you again

[robdominic]

very useful. Can you also explain how to export the EFA output into excel?

[mehmetceylan]

Hi! Thanks a lot. Can you try that for dichotomous data set with using polychoric / tetrachoric correlation?

[brettneumann]

I tried this in R studio (ver 2022) and there was no "fa" function... did it get updated?

[Stangeloino]

MR1, MR2 .... what is the official name for this? you said are Eigen factor value, right?