[R-meta] Moderator analysis test of residual heterogeneity confusion

[Mia Daucourt]

Good afternoon,

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:
[cid:CA508818-B069-4C5D-B1BC-437BD602F5AA using .fsu.edu]
Thank you for your help!

My best,

Mia

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