In Principal Component Analysis, I want to discard all those items which have a commonality value less than 0.4 in Commonality table. But, what will be the criteria for removing these items; whether to remove all those items first which comes first (or on the top) in the commonality table or to remove those items first which has the lowest value of extraction?
As an example I have attached the image. Here we will remove Item3 first or Item4? Please also provide source, if possible.
Hi, in order to have a reliable PCA, you should have a big number of variables then their extraction values should be near to 1. In the example almost all of the extraction values were inferior to 0.5 may be because the number of variables is very small. Try to remove Item 4. Good luck
- Badges
- Science topic
- Similar topics
- Computer Science
- Images