R - Exploratory Factor Analysis Lecture

Lecturer: Dr. Erin M. Buchanan
Fall 2020
/ statisticsofdoom
This video is part of my structural equation modeling class - you will learn how to perform an exploratory factor analysis as a way to ease into the ideas of SEM. You will learn how to assess the number of potential factors, simple solutions, and determine if your model is adequate.

[@drryangagnon]

By golly this is clean. Nice work.

[@StatisticsofDOOM]

Thank you! :)

[@gokaykirtil8607]

Erin you are one of a kind ! checked out many books& articles on SEM, but did not show much progress, your presentations are truly pragmatic and so instructive ! Thank you !

[@StatisticsofDOOM]

Thanks for the kind words!

[@ALI_B]

goodness vs. badness of fit. Very nice way of simplifying

[@StatisticsofDOOM]

Thank you!

[@RinoLovreglio]

I love your questionnaire!
Great video as always :)

[@StatisticsofDOOM]

Thank you!

[@rodrigofleao31]

Muito obrigado pelos vídeos! =)

[@StatisticsofDOOM]

Thank you!

[@hannahalveshagy4141]

Would you recommend z scoring items if they are from multiple questionnaires and/or are lab task data?

[@StatisticsofDOOM]

No, generally you do not standardize the data.

[@hannahalveshagy4141]

@@StatisticsofDOOM Thank you! I was just reading more about this and that makes sense. I am using multiple measures in addition to lab tests. Would it make most sense to use the composites of the surveys or include all of the items for each of the various separate surveys in addition to the lab based data? sorry for all the questions.

[@StatisticsofDOOM]

@@hannahalveshagy4141 Use each question individually for EFA.