[R-meta] Does QE statistic in rma.mv() account for random effects as well?

Dear Simon,

if you compare the output of a simple fixed effect model to a simple 
random effects model then you can see that the QE value is the same.

A reproducible example:

library(metafor)
rma(data=dat.bangertdrowns2004,yi,vi,mods=~length,method="FE")
rma(data=dat.bangertdrowns2004,yi,vi,mods=~length,method="REML")

"Test for Residual Heterogeneity:
QE(df = 44) = 96.2810, p-val < .0001"

In other words. Random effects do not influence the QE value.

You can also see it in the code that Wolfgang provides via github:
https://github.com/cran/metafor/blob/master/R/rma.mv.r (line 1500)

For some conceptual clarifications see also this paper:
Pastor, D. A., & Lazowski, R. A. (2017). On the multilevel nature of 
meta-analysis: A tutorial, comparison of software programs, and 
discussion of analytic choices. Multivariate Behavioral Research, 52(6), 
789?804. https://doi.org/10.1080/00273171.2017.1365684

Best,
Lukasz