[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
Tue Jan 19 09:42:47 CET 2021

Thanks a lot Wolfgang.
That is very helpful.

Le mar. 19 janv. 2021 à 09:31, Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer using maastrichtuniversity.nl> a écrit :

> Dear Gladys,
> Yes, you can flip the sign. In essence, this is what would happen if a
> study where Y reflects depression had reverse-scored their depression
> measure (such that higher values reflect *less* depression).
> Whether the association between X and 'positive' measures of mental health
> is the same as the association between X and 'negative' measures of mental
> health (after flipping the sign of the latter) is a different issue. With
> enough studies, one could code a moderator variable to indicate whether Y
> was originally a positive or negative measure and examine whether the
> association between X and Y differs across these two groups.
> Best,
> Wolfgang
> >-----Original Message-----
> >From: R-sig-meta-analysis [mailto:
> r-sig-meta-analysis-bounces using r-project.org]
> >On Behalf Of Gladys Barragan-Jason
> >Sent: Monday, 18 January, 2021 15:33
> >To: r-sig-meta-analysis using r-project.org
> >Subject: [R-meta] Meta-analysis on positive and negative outcomes: Is it
> >correct to take the reversed r values?
> >
> >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
> >Station d'Ecologie Théorique et Expérimentale (SETE)
> >CNRS de Moulis



Gladys Barragan-Jason, PhD.  Website

Station d'Ecologie Théorique et Expérimentale (SETE)

CNRS de Moulis

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