Exploratory Factor Analysis (EFA): Concept, Key Terminologies, Assumptions, Running, Interpreting

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This session explains in detail the concept of Exploratory Factor Analysis, The key assumptions of Exploratory Factor Analysis, and the rotation methods in Exploratory Factor Analysis. The video also highlights how to run EFA using Jamovi, how to interpret the results, and how to report EFA. Link to download Slides

To learn bow to use EFA in SPSS, watch

#ResearchCoach #ExploratoryFactorAnalysis #EFARotationMethods #Varimax #PrincipalComponentAnalysis #JAMOVI
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Thank you much. This is the simplest explanation I have come across. Helped a tonne with my analysis.

authenticjamba
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Hi Dr. Latif, I know this video is more than 1 year old, but it is helping me now with my analysis. Thank you so much for posting this. Much appreciated.

ellemason
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I have been following Fawad. HIs style is simple with understandable ppt. Thanks

deepakdass
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YOU ARE AMAZING MASHALLAH, IT IS HELPFUL

mrs.dinaelsaadi
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Amazing explanation thanks! however, the google drive link isn't working anymore. :(

nursyahirah
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Sir, KMO is necessary when there is
EFA. For CFA, it is not necessary ?

artimalik
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Sir, how to resolve the cross loading problem. In the conceptual model, I have four factors in a construct (IV). When running EFA approx 80 percent of the items are loaded on more than two factors.

Divya_new
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professor is Eigenvalue 1.06 is acceptable

pemalamav
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Very helpful video, as always...I have one query regarding interpreting and reporting of percentage of variance explained by each factor (when we are performing Principal Component Analysis using varimax rotation in SPSS) Should we report the extraction sum of squared loadings or rotated sum of squared loadings where variance is more evenly distributed among the factors or components??

priyashreeroy
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Thank you very much for this video prof. regarding KMO & Bartlett’s Values, are they need to be run under a pilot test? also, I'm a little confused regarding Varimax, some theses use it and some are not, could you please let me know the criteria for using Varimax? thank you so much.

Alhamzah_F_Abbas
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Amazing video. Sir can you please run this test in spss also

jumaniqbal
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Sir, during the analysis of variables I observed that principle component analysis is giving higher values in factor loadings and in total variance explained. Could you please explain it?

Divya_new
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Thank you super video.
I have a question on the assumptions:
The assumption that the measurement errors are not correlated between them it is valid in reality?

ebnouseyid
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Hello sir, Do we apply EFA and CFA in case of Formative scale ? I read somewhere we apply only for reflective scale.

priyadarshinilaishram
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Hi sir! Thank you so much for this wonderful explanation. I am asking for the word templates that you used. I did not found it on the sides. If possible can you share it?

shazzadhossain
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Sir plz help me, i have 5 factors but after doing efa i got 3 factors where eigen value is more than 1, what should i do? And is 0.75 eigen value acceptable as if i change the no of factors to 5 its all good but 2 factors are less than 1

priyankamahanta
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Sir, is it necessary to run EFA if my scale is a developed scale but I made some changes in the wording of questionnaire. 🙏🙏🙏

lalaliza
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Thank you Dr. Latif for a very nice presentation. While analyzing my data I had several of the factors with KMO value less than 0.5. Should I remove those factors?

arialcad
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Hi, can we merge two models, means taking some dimensions from one and some from other. Or it is mandatory to use one model only.

mirzaiqa
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can you clarify why not use EFA in jamovi but PCA instead? thank you

eduardjosephpalmiano