[R-meta] SEM of correlational meta-analytic data?

Gladys Barragan-Jason g|@dou86 @end|ng |rom gm@||@com
Mon Jan 18 09:00:10 CET 2021

Dear Wolfgang,
Thanks for your helpful reply. Actually I am not (randomly) assuming the
causality. For instance, most of the correlational studies I included in
the meta-analysis (from which I extracted Pearson correlations) also
performed a SEM showing that Human-nature connectedness mediates the
effect. Would reporting how many papers actually report such causation
and/or making a meta-analysis on the extracted beta would make more sense?
For the latter possibility, another problem is that the number of
moderators included in the the SEM would differ between studies...
What do you think?
Thanks a lot for your reply.

Le dim. 17 janv. 2021 à 12:11, Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer using maastrichtuniversity.nl> a écrit :

> Dear Gladys,
> Inferring causality from observational data is tricky business. SEM (with
> primary data) or meta-analytic structural equation modeling (MASEM) does
> not magically allow us to do so just by fitting some model.
> But if you want to do MASEM, then the MetaSEM package is a good choice. I
> also recently added some functionality to metafor that goes a bit in the
> same direction. See:
> https://wviechtb.github.io/metafor/reference/rcalc.html
> https://wviechtb.github.io/metafor/reference/matreg.html
> Note that you will need to install the 'devel' version of metafor to make
> use of these functions:
> https://wviechtb.github.io/metafor/index.html#installation
> 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: Sunday, 17 January, 2021 11:23
> >To: r-sig-meta-analysis using r-project.org
> >Subject: [R-meta] SEM of correlational meta-analytic data?
> >
> >Dear all,
> >
> >I am conducting a meta-analysis on the causes and consequences of
> >human-nature connectedness. As most of the studies were correlational, I
> >collected zero order Pearson r correlations between HNC and let's say 3
> >moderators (Exposure to nature, human-welfare and nature conservation). I
> >was able to obtain positive and moderate estimates in running one model by
> >moderator with lab and study as random effect thanks to the rma.mv
> >function which was great.
> >
> >My only concern now if whether we could somehow infer causality from those
> >meta-analytic data in making Structural Equation Modelling (SEM) on those
> >data. I saw that the MetaSEM package can do so but I have the feeling that
> >it is not using the same structure/function as metafor (e.g. meta3 instead
> >of rma.mv) leading to some discrepancies.
> >
> >I would like to know if someone has developed a package or a function to
> do
> >this type of causal analysis from meta-analytic correlation data.
> >
> >The aim would be validate (or invalidate) a model where exposure to nature
> >increases HNC which in turn increases Nature conservation and welfare
> >(rather than the opposite). I don(t know if it is feasible but would be
> >great if so.
> >
> >Any advice would be more than welcome :-)
> >
> >All the best,
> >
> >Gladys



Gladys Barragan-Jason, PhD.  Website

Station d'Ecologie Théorique et Expérimentale (SETE)

CNRS de Moulis

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

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