[R-meta] question on multilevel model results

[Lukasz Stasielowicz]

Dear Gabriel,

The sigma values in the rma.mv output can be interpreted as tau values.
Take a look at the examples at the bottom: 
https://wviechtb.github.io/metafor/reference/rma.mv.html
Based on the sigma values, one can estimate other measures.

There was recently a question about estimating I2 and R2, so I will link 
to the answer:
https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2023-July/004832.html



Best,
Lukasz
-- 
Lukasz Stasielowicz
Osnabrück University
Institute for Psychology
Research methods, psychological assessment, and evaluation
Lise-Meitner-Straße 3
49076 Osnabrück (Germany)
Twitter: https://twitter.com/l_stasielowicz

On 27.07.2023 12:00, r-sig-meta-analysis-request using r-project.org wrote:
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>     1. question on multilevel model results (Gabriel Cotlier)
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> Message: 1
> Date: Thu, 27 Jul 2023 10:18:12 +0300
> From: Gabriel Cotlier <gabiklm01 using gmail.com>
> To: R Special Interest Group for Meta-Analysis
> 	<r-sig-meta-analysis using r-project.org>
> Subject: [R-meta] question on multilevel model results
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> 
> Hello all,
> 
> I would like to ask why, conversely, rma() objects for rma.mv() objects
> (with and without moderators ) in the summary report do not provide values
> of heterogeneity measures besides Cohen's *Q* such as "tau/hat/ square" or
> "tau/square" or H^2?
> 
> Is this maybe because this type of model (rma.mv()) does not allow the
> estimation of these measures?
> 
> Alternately, could they be calculated separately for rma.mv() objects?
> If so, is there a code for doing this ?
> 
> Thanks a lot.
> Kind regards,
> Gabriel
> 
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