Message-ID: <CAEJcFY0FsCYU1gX8cuXXymggxcD63FcxYcD5ywQhut6AT0_SDQ@mail.gmail.com>
Date: 2020-12-14T17:13:41Z
From: Valeria Ivaniushina
Subject: [R-meta] moderator and adjusted effects
Dear experts,
In my sample of articles for meta-analysis there are three categories, or
three conditions, that may influence the effect of interest.
I am more interested in estimating different effects from these conditions
than in explaining heterogeneity in effect sizes.
1) I can do a meta-analysis for each of these conditions separately and get
three different mean effect sizes.
2) Or I can do a meta-analysis of the whole sample, then include a
condition as a moderator and calculate adjusted effects as described here :
http://www.metafor-project.org/doku.php/tips:computing_adjusted_effects
Which option is better?
Additional question: when I include a categorical moderator, is it the
same as including a dummy variable in a regression?
How can I specify that the variable is categorical with 3 levels?
Best,
Valeria
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