[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>