There is no grouping variable because the data are summary statistics (correlation matrices). test.cov may include the stacked correlation matrices, e.g.,
.3 .4 1
.4 .5 1
The sample sizes are specified by NOBSERVATIONS = 100…"
I did not suggest conducting a meta-analysis with the multiple-group analysis though it is possible. You mentioned that you have the raw data. That's why I suggested that there are several possible ways to analyze the data including…"
Since you have the raw data, there are several options for you. You may either conduct a multilevel or multiple-group structural equation modeling (see Mplus's manual). Alternatively, you may run either a correlation- or…"
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…"
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