Determining number of factors: Exploratory factor analysis (EFA) using RStudio and EFA.dimensions

This video provides a demonstration of how to use the EFA.dimensions package with RStudio to make a determination of the number of factors that may explain the intercorrelations among a set of measured variables. I use an example and data from journals.plos.... .
A copy of the Excel data file can be downloaded here: docs.google.co...
A copy of the Powerpoint slides I reference in the video can be accessed here:
docs.google.co...
A text file containing the code used in this video can be downloaded here:
drive.google.c...
Link to EFA.dimensions documentation:
cran.r-project...
Be sure to check out my blog, where I discuss the issue of over- and under-factoring:
mikesquanthub.... consequences of over- versus under-factoring.html

[@arlinroseemmanuel3975]

Thank you so much sir, most awaited video. Kindly upload more if you can. You just helped to solve something that I am supposed to submit tomorrow. Thank a lot!!!

[@gaoxiangyu2011]

Thank you so much!!! It's timely and helpful.

[@mikecrowson2462]

You're so welcome!

[@jeandenys7]

Thank you Professor.
I have a question. What do you suggest if want to consider my qualitative variables in the determination of the number of factors?

[@sofiabeer1]

Thank you so much for posting this! It’s amazing!!
I would like to ask how could I calculate the Cronbach’s alpha for this analysis? Thank you! 😊

[@violalyu3438]

Thank you so much Mike!! May i ask a questions? i cannot found PA_FA in the new version EFA.dimensions. Do you know the replaced command for it?

[@lanita273]

before: PA_FA; now: EFA

[@jeandenys7]

@@lanita273 Thank you!