I would only consider MASEM or meta-analysis on the moderated mediated effects when the raw data are not available. If you have the raw data, I think that the multiple-group SEM approach is more easier.
"The correlation matrix of A, B, C, and D does not include any information on the moderating effect. Unless you have the product terms, I do not think that it is possible to test the moderation effect."
If the data (scales) are comparable across studies, I would suggest using either a multiple-group SEM (fixed-effects model) or a multilevel SEM (random-effects model) in Mplus. MASEM or using the moderated mediation as the effect size…"
"A message from Nina Lasek to all members of Meta-analytic structural equation modeling on Meta-Analysis Resources! Dear meta-analysers, I replicated a moderated mediation path model across k=11 samples. Indicators and sample sizes (individual data…"
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
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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…"
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