[R-meta] Random vs. Fixed Effects model in metafor with multiple effect sizes per study

[Mia Daucourt]

Good afternoon,

I’d like to run a fisher’s z meta-analysis with multiple effect sizes per study. As such, I have it set up in a multilevel framework. I have two questions:

1.Do I have to run it as a random effects model or can I run it as a fixed effects multilevel model?

2. If not, then I should run random effects model. However, when I run it as a random effects multilevel model I get non-significant heterogeneity. Is it still proper to run a moderator analysis when you do not find significant heterogeneity?

Please let me know if you have any insight on the best course of action to take!


My best,

Mia Daucourt


Florida State University
Developmental Psychology PhD student
IDCD Hart lab
daucourt using psy.fsu.edu



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