Timeline for Skewed variables in PCA or factor analysis
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Dec 28, 2022 at 13:44 | comment | added | Nicole Origami Fox | Wow, splendid! Thank you :) | |
| Dec 28, 2022 at 13:21 | comment | added | ttnphns | @Nicole there are assumptions of FA (even if you are using PCA as a method of FA). There KMO is mentioned. | |
| Dec 28, 2022 at 12:08 | comment | added | Nicole Origami Fox | Thank you. I haven't done FA for a long time. As for PCA I have never heared to use KMO until my reviewer asked me why I didn't do it. Now I'll try to back up my answer with references. | |
| Dec 28, 2022 at 10:15 | history | edited | ttnphns | CC BY-SA 4.0 |
added 48 characters in body
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| Dec 28, 2022 at 10:12 | comment | added | ttnphns | @Nicole you may use KMO as one of the tools to select variables before PCA if you are going to use PCA as a method of factor extraction. However, PCA is not quite suited or always suited to perform factor analytic task, true FA is better for this. Any textbook on FA should say what I've just said. | |
| Dec 28, 2022 at 9:57 | comment | added | Nicole Origami Fox | Thanks a lot! Can you advice me on citable literature on why KMO makes sense for FA but not for PCA (3.)? | |
| Dec 2, 2013 at 22:47 | history | edited | Scortchi♦ | CC BY-SA 3.0 |
fixed typos
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| Oct 5, 2012 at 7:42 | history | answered | ttnphns | CC BY-SA 3.0 |