[R-meta] vcalc type vs obs

Filippo Gambarota ||||ppo@g@mb@rot@ @end|ng |rom gm@||@com
Fri Aug 26 09:58:35 CEST 2022

Thank you Wolfgang!

On Thu, 25 Aug 2022 at 17:58, Viechtbauer, Wolfgang (NP) <
wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:

> Hi Filippo,
> It doesn't matter if you use 'obs' or 'type' in this case - the result
> will be the same (as you noted). The two arguments become relevant in case
> one wants to handle the case where multiple types of constructs have been
> assessed and in at least some studies the same construct was measured using
> multiple scales or instruments. Then one can specify 'type' and 'obs'
> separately and also specify different correlations.
> Best,
> Wolfgang
> >-----Original Message-----
> >From: R-sig-meta-analysis [mailto:
> r-sig-meta-analysis-bounces using r-project.org] On
> >Behalf Of Filippo Gambarota
> >Sent: Monday, 22 August, 2022 9:59
> >To: R meta
> >Subject: [R-meta] vcalc type vs obs
> >
> >Hello!
> >I'm running a multivariate model for the first time and I'm
> >constructing the covariance matrix with vcalc. My situation is that I
> >have n papers and each papers could have k effect size belonging to
> >different measures but measured on the same pool of subjects.
> >For this situation I'm using the vcalc function as follows:
> >
> >vcalc(vi, cluster = id, obs = outcome2, data = dat, rho = 0.7)
> >
> >Where cluster is the paper index and outcome2 is the outcome (as
> >string) within each paper that of course, the same outcome could be
> >present also in another paper.
> >
> >Is that correct? because carefully reading the documentation, maybe
> >the argument type is more appropriate but the resulting matrix is the
> >same.
> >Thank you!
> >
> >--
> >Filippo Gambarota
> >PhD Student - University of Padova
> >Department of Developmental and Social Psychology
> >Website: filippogambarota
> >Research Group: Colab   Psicostat

*Filippo Gambarota*
PhD Student - University of Padova
Department of Developmental and Social Psychology
Website: filippogambarota <https://filippogambarota.netlify.app/>
Research Group: Colab <http://colab.psy.unipd.it/>   Psicostat

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