[R-meta] moderator and adjusted effects
v@|v@n|u@h|n@ @end|ng |rom gm@||@com
Mon Dec 14 18:13:41 CET 2020
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 :
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?
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