[R-meta] question on multilevel model results

[Gabriel Cotlier]

Hello Michael,

I assume that tau^2  in multilevel models is divided into tow:

1.  tau^2 _1 for level 3 that is between-cluster variance equal to  between
study heterogeneity
2,  tau^2_2 for level 2 that is within study variance or within study
heterogeneity.

Is this correct?

Thanks a lot.
Kind regards,
Gabriel



On Thu, Jul 27, 2023 at 3:31 PM Gabriel Cotlier <gabiklm01 using gmail.com> wrote:

> Dear Michael,
> Yes, Thank you!!
> It is indeed very useful for I^2 in multilevel models.
> But I was also wondering how to obtain Tau and Tau-squared in multilevel
> models?
> And if such a thing is possible?
> Kind regards,
> Gabriel
>
>
>
>
> On Thu, Jul 27, 2023 at 1:22 PM Michael Dewey <lists using dewey.myzen.co.uk>
> wrote:
>
>> Dear Gabriel
>>
>> Does
>> http://www.metafor-project.org/doku.php/tips:i2_multilevel_multivariate
>> help?
>>
>> Michael
>>
>> On 27/07/2023 08:18, Gabriel Cotlier via R-sig-meta-analysis wrote:
>> > 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
>> >
>> >       [[alternative HTML version deleted]]
>> >
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>>
>> --
>> Michael
>> http://www.dewey.myzen.co.uk/home.html
>>
>

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