The test of moderator coefficients (QM) is chi-square distributed.You can use the change in this value when you add a predictor to the model as a chi-square test, with df equal to the change in df.
Jeremy On 2 August 2012 05:54, Bexkens, Anika <a.bexk...@uva.nl> wrote: > Dear Metafor users, > > I'd like to test a model with 2 continuous and 2 categorical moderators in a > meta regression. One categorical parameter has 2 levels and the other has 4 > levels. If I understand correctly, when I include all moderators in the > model, Metafor returns main effects of the continuous parameters and > contrasts of each level of categorical moderators with the intercept (which > includes the reference level of the categorical parameters). > > This makes it possible to see whether different levels of the categorical > moderator are differentially related to effect size. I include multiple > moderators and would like to report for each variable whether it is > significantly moderating effect size. Is it possible to obtain an overall > main effect of each categorical variable, instead of the contrast effects? Or > can I only obtain this by including one categorical moderator at a time and > reporting the omnibus moderator test? > > Many thanks, > > Anika > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
