[R-meta] question on multilevel model results

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
Osnabr?ck University
Institute for Psychology
Research methods, psychological assessment, and evaluation
Lise-Meitner-Stra?e 3
49076 Osnabr?ck (Germany)
Twitter: https://twitter.com/l_stasielowicz

On 27.07.2023 12:00, r-sig-meta-analysis-request at r-project.org wrote:

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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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