Dear Dr. Erin. Thanks a lot for the great video about EFA. The only thing that I cannot understand is that how we find which item is not overloading and we should delete it from the list. I remember that in one of your video you deleted Question 23, but I didn't get it why? please explain more if it is possible. I have a big assignment about big five factor and I should use EFA for it. I really appreciate your time :). Miriam
On the communality diagram slide (slide 7), did you mean to say that that variable 1 had a communality of 1 and a uniqueness of 0, because it was completely overlapping? You sad it was variable 3, but variable 3 seems to have some area that doesn't overlap.
Many thanks for the great lectures! They are extremely helpful.
you're cool thanks !
There is a psych print method to help with the output. example: print(fa_mdl, cut=0.299, sort=TRUE)
I cannot understand the title of the paper at 6:08 "exploring times[???] factor analysis machine" what is the actual title of the paper?
I think you mean this paper: quantpsy.org/pubs/preacher_maccallum_2003.pdf :)
Dear Dr. Erin. Thanks a lot for the great video about EFA. The only thing that I cannot understand is that how we find which item is not overloading and we should delete it from the list. I remember that in one of your video you deleted Question 23, but I didn't get it why? please explain more if it is possible. I have a big assignment about big five factor and I should use EFA for it. I really appreciate your time :). Miriam
So if I have a correlation between items that is >.8, should I drop one of them? Can you suggest any paper or book that talks about it?
Generally in EFA highly correlated items are expected, so I wouldn't drop them unless they are perfectly correlated.
On the communality diagram slide (slide 7), did you mean to say that that variable 1 had a communality of 1 and a uniqueness of 0, because it was completely overlapping? You sad it was variable 3, but variable 3 seems to have some area that doesn't overlap.
Yes that's correct, I think I thought three was the one underneath, but it would be variable 1 that is completely overlapped.