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

Gladys Barragan-Jason g|@dou86 @end|ng |rom gm@||@com
Sun Jan 17 11:48:16 CET 2021

Hi Kyle,
I am not sure to understand well your question but I will give it a try.
I know that some SEM analysis can be done on experimental data and can help
infer causality from those data in comparing the fit between a thereotical
model and actual data.
I am wondering whether we could do the same with correlational data from
several studies. I thought this was what metaSEM does but I am not sure...


Le dim. 17 janv. 2021 à 11:37, W. Kyle Hamilton <whamilton using ucmerced.edu> a
écrit :

> Hi Gladys,
> When you're talking about causality are you talking about high
> heterogeneity or the study design of the effects sizes?
> Kyle
> W. Kyle Hamilton  |  Doctoral Candidate
> University of California, Merced  |  Psychological Sciences
> 5200 N. Lake Rd. Merced Ca. 95343
> Tel (559) 325-4166 ▪ Cell (559) 392-5782
> psychology.ucmerced.edu ▪ kylehamilton.com
> On Sun, Jan 17, 2021 at 2:23 AM Gladys Barragan-Jason <gladou86 using gmail.com>
> wrote:
>> 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
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