[R-meta] Standardized mean differences with rma.mv?

[Viechtbauer, Wolfgang (NP)]

Dear Will,

I am afraid I don't understand your question. What do you mean by "calculation of standardized effects" and what does escalc() have to do with this? rma.mv() fits models, escalc() computes various types of effect sizes and corresponding sampling variances, so I cannot quite make sense of how you are contrasting these two functions.

Best,
Wolfgang

> -----Original Message-----
> From: R-sig-meta-analysis <r-sig-meta-analysis-bounces using r-project.org> On Behalf
> Of Will Hopkins via R-sig-meta-analysis
> Sent: Tuesday, April 16, 2024 23:39
> To: 'R Special Interest Group for Meta-Analysis' <r-sig-meta-analysis using r-
> project.org>
> Cc: Will Hopkins <willthekiwi using gmail.com>
> Subject: [R-meta] Standardized mean differences with rma.mv?
>
> I searched the archive, and if I missed it, I apologize, but is it true to
> say that currently multivariate analyses of the kind offered by rma.mv
> (when, for example, studies provide two or more estimates for the meta) do
> not allow for calculation of standardized effects of the kind offered by
> escalc (e.g., using measure="SMD1")? I realize one could do the analyses
> oneself with rma.mv by pre-standardizing the mean effects, but you would
> have to be quite savvy with estimating the standard errors of the
> standardized effects.
>
> Will