[R-meta] Meta-analyzing gain effects

[Zhouhan Jin]

Dear R meta Community,
(reposting this as I think my first message fell through the cracks)

When meta-analyzing quasi-experimental longitudinal studies, I wonder which approach I should take to estimate the gains:

1- Meta-analyze the effects (e.g., SMDs) at each time point and then after modeling, run appropriate hypotheses to estimate treatments' gains meta-analytically?

OR

2- Compute the gain effects (e.g., SMCCs in escalc) in the dataset, and meta-analyze them by a model to estimate the treatments' gains directly?

PS. I personally prefer the first approach as it doesn't directly require the pre-post correlations.

Best wishes,

Zhouhan


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