Message-ID: <0CDEBDBC-3E2D-4B09-94C9-D4ABB9FB710F@gmail.com>
Date: 2019-09-18T16:26:56Z
From: Mia Daucourt
Subject: [R-meta] Moderator analysis test of residual heterogeneity confusion
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:
Thank you for your help!
My best,
Mia
Mia Daucourt, M.S.
Florida State University
Developmental Psychology PhD student
IDCD Hart lab
daucourt at psy.fsu.edu
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20190918/a42f4b7b/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: Screen Shot 2019-09-18 at 12.20.11 PM.png
Type: image/png
Size: 90832 bytes
Desc: not available
URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20190918/a42f4b7b/attachment-0001.png>