[R-meta] Moderator analysis test of residual heterogeneity confusion
Viechtbauer, Wolfgang (SP)
wo||g@ng@v|echtb@uer @end|ng |rom m@@@tr|chtun|ver@|ty@n|
Wed Sep 18 18:50:05 CEST 2019
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From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On Behalf Of Mia Daucourt
Sent: Wednesday, 18 September, 2019 18:24
To: r-sig-meta-analysis using r-project.org
Subject: [R-meta] Moderator analysis test of residual heterogeneity confusion
I am using the metafor package to run a multilevel correlated effects model. For moderator analyses, I am running them one at a time, to see how much heterogeneity each accounst for, and then I ran model with all mods to see how much variance is left to be explained they're combined.
I have an odd a situation where there is no significant residual variance with just an individual moderator in the model, but then for a set of moderators (that includes that moderator) there is significant residual variance. How can this be?
Maybe these screenshots can help...
Single moderator results:
Moderator analysis test of residual heterogeneity confusion
All mods model results:
Thank you for your help!
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