Hello. I am examining the psychometric properties of the UGDS-GS, a test for measuring gender anxiety in the trans community. The problem I am facing is that my efa results are good but my cfa is not good. Is this due to the small sample size? My sample size is 140.
Can you tell us more about what you mean when you say "my efa results are good but my cfa is not good"?
EFA is less restrictive than CFA, as EFA allows all of the crossloadings. In contrast, most if not all crossloadings are typically fixed to zero in CFA. It is therefore rather typical for CFA to fit worse than EFA.
In terms of sample size, N = 140 is rather on the low side for both EFA and CFA. If anything, such a low sample size would typically result in a lack of statistical power to detect model misfit. Therefore, if you see misfit, I would definitely pay attention to it, especially in a small sample.