Exploratory Factor Analysis (EFA) - Part 5 (Discriminant Validity & Reliability)

[@manbyro7493]

This is the most comprehensive video on EFA I’ve seen on KZbin. Very educative and so easy to follow and understand. You’ve done a great job. 👏🏿👏🏿👏🏿👏🏿. You left no stone unturned. I’ll like to see more of such videos. Please do one on cluster analysis and other multivariate methods. Thank you 🙏🏿 🙏🏿🙏🏿

[@lizaminasyan9255]

please dont stop making videos, your explaining way is very useful

[@joyswebilius2492]

Thank you very much for such a clear, organized, and well documented series! Your work here and your willingness to share with the research community is truly appreciated.

[@mohamedaitbabram7044]

Don't stop sharing videos. It's very important.

[@tonymeo5415]

Very helpful and clear to understand. Thank you for sharing.

[@Sok518]

Thanks Shihhui, these series are very helpful.

[@vukasinviskovic9121]

Great series, thank you very much!

[@rahmansheykhhadi9947]

These series was excellent. thank you very much for your scientific and understandable teaching. I am measuring the psychometric properties of a scale in Iran. In the original article, the authors used the Direct Oblimin rotation method. But I got much better results using the Promax rotation. Am I allowed to make this change in analysis in my own research?

[@shihhuilee5648]

Hi, Rahman! Thank you for your question. As I am not a statistician, I am unable to tell you the difference about these two methods from the statistical perspective. However, the main goal of applying rotation is to help us to clarify and simplify the results of EFA. So, I would suggest you to use Promax rotation in your research as it gives you ‘better’ results. If you would like to justify why you’re using Promax than Direct Oblimin, you can refer to the following article: Orthogonal versus Oblique Factor Rotation: A Review of the Literature regarding the Pros and Cons. files.eric.ed.gov/fulltext/ED427031.pdf

[@hannekek5766]

Thank you so much for this serie! It was really helpfull! Can you please explain confirmatory factor analysis too?

[@JohnRBaker-gw6oy]

Superb lecture, thank you.

[@asingh2805]

Excellent

[@lizaminasyan9255]

thank you so soooooooo much for those great videos

[@mohamedaitbabram7044]

Great video. Thank you

[@entrepreneurshipandfinance7249]

Hello, Respected Sir, EFA of 79 line items scale shows their are 15 factors but all values are loaded in first column. i dont know why.... it means there is only one dimension of scale ? but i does not seem logical. kindly guide me how to handle this.... thanks