Message-ID: <645641a6-cf8a-47b5-ba70-f16ca21ba52f@Spark>
Date: 2024-03-04T18:17:35Z
From: Zhouhan Jin
Subject: [R-meta] Meta-analyzing gain effects
Dear R meta Community,
I have a general question. When meta-analyzing quasi-experimental longitudinal studies, I wonder which approach I should take to estimate the gains:
1- Meta-analyze effects (e.g., SMDs) at each time point and then after modeling, run appropriate hypotheses to estimate treatments' gains meta-analytically?
OR
2- Compute gain effects (e.g., SMCCs in escalc) in the dataset, and meta-analyze them by a model to estimate the treatments' gains directly?
Thank you so much and I look forward to hearing your thoughts!
Best wishes,
Zhouhan
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