If you have the raw data, EFA/CFA/IRT is the obvious choice. You only need meta-analysis when you have lots of summary statistics. If you want to validate the "items," you need item-level correlations. If you only have the…"
"Dear Mei Yi,
I am afraid that I don't know any simple guidelines. If fact, I don't think that it is easy to derive such guidelines. There are a couple of factors affecting it. For example, the no. of variables, the percentages of missing…"
"Dear Mei Yi Ng & Katherine,
It is not easy to give a simple rule. You may consider a random-effects meta-analysis as a simple analysis in estimating the means and covariance matrix of the effect sizes.
There are 7 variables in your model. Thus,…"
How is everything with you, I picked interest on you after going through your short profile and deemed it necessary to write you immediately. I have something very vital to disclose to you, but I found it difficult to express myself here, since it's a public site.Could you please get back to me on:(firstname.lastname@example.org) for the full details.