[R-meta] fixed-effect multivariate model interpretation
Hello! I'm fitting for the first time a multivariate fixed-effect model using metafor. The code is: ``` rma.mv(yi, V, mods = ~ 0 + outcome, data = data, test = "t") ``` Where V is the block variance-covariance matrix created with vcalc() that represents the covariance between different outcome levels within each study. The outcome is a factor that represents different effect sizes measured on the same participants within a study. The model as expected did not estimate tau for each outcome and test all coefficients (each outcome mean with this parametrization) against 0 (both the omnibus test and each beta). My question is about the *residual heterogeneity* parameter and the associated Q test. Under this model, I should have assumed that there is no heterogeneity within each outcome level so I'm not sure how to interpret the residual heterogeneity in this case. Thank you! Filippo
Filippo Gambarota PhD Student - University of Padova Department of Developmental and Social Psychology Website: filippogambarota.netlify.app Research Group: Colab Psicostat