[R-meta] How to deal with "dependent" Effect sizes?

[Mark White]

I did a meta-analysis that dealt with a lot of studies with dependent
variables at the participant level. I got a great deal of help from this
group (and others), and I settled eventually on robust variance estimation.
See pages 21 to 23 here (
https://github.com/markhwhiteii/prej-beh-meta/blob/master/docs/manuscript.pdf)
on how I came to that decision and some great references for using their
robumeta package. I'm sure there is a way to do this in metafor, as well.

On Mon, Feb 26, 2018 at 10:08 AM, Angeline Tsui <angelinetsui at gmail.com>
wrote:

> Hello all,
>
> I am working on a meta-analysis that may contain dependent effect sizes.
> For example, there are five studies in a paper. However, study 1, 2 and 3
> tested the same group of participants whereas study 4 and 5 tested
> different groups of participants. This means that the effect sizes in study
> 1, 2 and 3 are dependent of each other, whereas study 4 and 5 are
> independent of each other. In this case, how should I incorporate these
> studies in a meta-analysis? Specifically, my concern is that if I put all
> five studies in a meta-regression, then I am not ensuring that each effect
> size is independent of each other.
>
> Thanks,
> Angeline
>
> --
> Best Regards,
> Angeline
>
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