[R-meta] Standardized response mean

[Hazel Wellington]

Hi Wolfgang,

Thanks so much for your reply. I am actually wondering if there is another
way to compute ‘standardized mean change using change score
standardization’ or SMCC as the approach given in your article requires
correlation between the measurements. The correlations are missing in the
studies that I am working on.

Also, as standardized response mean (SRM) is a kind of effect size, will it
be OK to calculate its standard error using the attached formula where ‘d’
will be replaced by SRM?

Any thoughts?

Please let me know.

Thanks again,

Hazel

On Wed, Aug 25, 2021 at 5:23 AM Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:

> Dear Hazel,
>
> Based on some online searching, the 'standardized response mean' appears
> to be the mean change in some dependent variable divided by the SD of the
> change scores. This is the same as the 'standardized mean change using
> change score standardization', which is measure="SMCC" in escalc(). See
> here:
>
> https://wviechtb.github.io/metafor/reference/escalc.html#arguments
>
> Best,
> Wolfgang
>
> >-----Original Message-----
> >From: R-sig-meta-analysis [mailto:
> r-sig-meta-analysis-bounces using r-project.org] On
> >Behalf Of Hazel Wellington
> >Sent: Wednesday, 25 August, 2021 11:13
> >To: r-sig-meta-analysis using r-project.org
> >Subject: [R-meta] Standardized response mean
> >
> >Hi everyone,
> >Hope you are well. I have a query re: meta-analysis of responsiveness
> >measures.
> >
> >My effect size is a standardized response mean and I am wondering how can
> I
> >compute its variance or standard error.
> > Also, should I use the same code in metafor for standardized response
> mean
> >as we do for Cohen’s d?
> >
> >Please let me know.
> >Thank you,
> >Hazel
>

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