[R-meta] Meta-analysis on positive and negative outcomes: Is it correct to take the reversed r values?

Gladys Barragan-Jason g|@dou86 @end|ng |rom gm@||@com
Mon Jan 18 15:32:48 CET 2021


Dear all,
I have a question about taking the reversed values when combining different
proxies of one factor. For instance, if you're doing  a meta-analysis on
the impact of X on Y where Y is  mental health and you have several
measures of Y such as depression (r= -0.4) , stress (r=-0.1) and emotional
balance (r=+0.5-) and positive moods (r=+0.2), is it correct to transform
(take to reversed values) for "negative health" (r=+0.4 and r=0.1) and
pooled everything together or is it better to make to different
meta-analysis (one on positive and one on negative effects), or maybe both?
Thanks a lot for your response.
Best,
Gladys

-- 

------------------------------------------

Gladys Barragan-Jason, PhD.  Website
<https://sites.google.com/view/gladysbarraganjason/home>

Station d'Ecologie Théorique et Expérimentale (SETE)

CNRS de Moulis

[image: image.png][image: image.png]

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20210118/db5d357a/attachment.html>

-------------- next part --------------
A non-text attachment was scrubbed...
Name: image004.png
Type: image/png
Size: 7125 bytes
Desc: not available
URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20210118/db5d357a/attachment.png>


More information about the R-sig-meta-analysis mailing list