Additionally, is there a reference available that discusses the use of non-probability samples for CFA analyses?
I read a previous discussion in this forum about how having a large sample size is the priority over probability sampling, and I would be interested to see what others have written on this topic.
Bernard M Groen, thanks so much for the comprehensive answer, it has helped my understanding a lot!
As a follow-up question to this thread (not necessarily for CFA only), are there any recommendations around combining different non-probability data sets for such an analysis? For example, in order to have a sufficient sample size, one may combine two data sets that have the same target population but were collected through different methods. Would this be possible, and if so what might be the potential impacts on the analysis?
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