[R-meta] Compiling different design in the same met-analysis
Gladys Barragan-Jason
g|@dou86 @end|ng |rom gm@||@com
Mon May 3 19:42:13 CEST 2021
Hi Gerta and Michael,
I am not sure to understand. I am not saying the the effect size are
different. They are comparable but of course differ in term of ci since the
number of studies, participants are different. I would like to know whether
we can make obtain an overall effect size while controlling for design. So
maybe the answer is no.
Thanks
Gladys
Le lun. 3 mai 2021 à 19:11, Dr. Gerta Rücker <ruecker using imbi.uni-freiburg.de>
a écrit :
> Technically, you may conduct a meta-analysis of these two effects and
> obtain something between. The question is how to interpret this.
>
> Best,
>
> Gerta
>
> Am 03.05.2021 um 19:06 schrieb Michael Dewey:
> > Yes, exactly. After all if you show two things are different you
> > cannot say they are the same.
> >
> > Michael
> >
> > On 03/05/2021 15:59, Gladys Barragan-Jason wrote:
> >> Okay, so you can't obtain an overall effect size while controlling
> >> for design?
> >>
> >> Le lun. 3 mai 2021 à 14:36, Michael Dewey <lists using dewey.myzen.co.uk
> >> <mailto:lists using dewey.myzen.co.uk>> a écrit :
> >>
> >> If you include a moderator you do not get an overall effect
> >> because by
> >> including it you are effectively saying there is no single overall
> >> effect.
> >>
> >> On 03/05/2021 12:24, Gladys Barragan-Jason wrote:
> >> > Hi Michael,
> >> > Thanks a lot for your quick response. Here are answers and other
> >> > questions below.
> >> >
> >> > Le lun. 3 mai 2021 à 12:41, Michael Dewey
> >> <lists using dewey.myzen.co.uk <mailto:lists using dewey.myzen.co.uk>
> >> > <mailto:lists using dewey.myzen.co.uk
> >> <mailto:lists using dewey.myzen.co.uk>>> a écrit :
> >> >
> >> > Dear Gladys
> >> >
> >> > Comments in-line
> >> >
> >> > On 03/05/2021 08:13, Gladys Barragan-Jason wrote:
> >> > > Dear all,
> >> > >
> >> > > I am doing a meta-analysis on experimental data on the
> >> impact on
> >> > > several behavioral interventions including both *pre-post
> >> studies*
> >> > > (measurement of a trait before and after the intervention)
> >> *and
> >> > control
> >> > > vs. treatment studies *(measurement after a control
> >> intervention vs.
> >> > > measurement after the intervention).
> >> >
> >> > So the first design just has one group which is measured
> >> twice and the
> >> > second design has two parallel groups which are each measured
> >> once?
> >> >
> >> >
> >> > Exactly!
> >> >
> >> >
> >> > > I am interested in the effect size of each type of
> >> intervention on a
> >> > > specific trait that is common to all studies.
> >> > >
> >> > > I would like to know whether it is correct to compile all
> >> studies
> >> > from
> >> > > one type of intervention (whatever the type of
> >> comparisons:
> >> > pre-pot and
> >> > > control vs. treatment group together) with pre- and
> >> control being as
> >> > > control and post and treatment being as treatment.
> >> > >
> >> >
> >> > I do not think that is going to work well. Although the two
> >> designs
> >> > could be considered as estimating the same effect their
> >> variability
> >> > should be very different since in design 1 you have reduced
> >> the effect
> >> > of individual variability. If you do include both designs
> >> in one
> >> > analysis I would have thought it mandatory to include a
> >> moderator with
> >> > two levels for design.
> >> >
> >> > This makes sense. When I do this, I then obtain two effect sizes
> >> (one
> >> > for each design); (in having mods=~design-1). Do you know how I
> >> can get
> >> > the overall effect size?
> >> >
> >> >
> >> > > I have a second question about how to thank the
> >> > > r-sig-meta-analysis using r-project.org
> >> <mailto:r-sig-meta-analysis using r-project.org>
> >> > <mailto:r-sig-meta-analysis using r-project.org
> >> <mailto:r-sig-meta-analysis using r-project.org>>
> >> > > <mailto:r-sig-meta-analysis using r-project.org
> >> <mailto:r-sig-meta-analysis using r-project.org>
> >> > <mailto:r-sig-meta-analysis using r-project.org
> >> <mailto:r-sig-meta-analysis using r-project.org>>> list for all their
> help
> >> > > (acknowledgements in a paper).
> >> >
> >> > I would have thought the URL
> >> > https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis//
> >> <https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis//>
> >> > <https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis//
> >> <https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis//>>
> >> > was better. How to do this will also depend on custom and
> >> practice in
> >> > your scientific discipline, some journals in mine require
> >> people who
> >> > are
> >> > acknowledged to give their consent.
> >> >
> >> >
> >> > Ok! Thanks a lot!
> >> >
> >> > Best,
> >> > Gladys
> >> >
> >> >
> >> > Michael
> >> >
> >> > >
> >> > > Thanks a lot for your help!
> >> > >
> >> > > Have a great day,
> >> > >
> >> > > Gladys
> >> > >
> >> > > --
> >> > >
> >> > > ------------------------------------------
> >> > >
> >> > > Gladys Barragan-Jason, PhD. ____ Website
> >> > > <https://sites.google.com/view/gladysbarraganjason/home
> >> <https://sites.google.com/view/gladysbarraganjason/home>
> >> > <https://sites.google.com/view/gladysbarraganjason/home
> >> <https://sites.google.com/view/gladysbarraganjason/home>>>
> >> > >
> >> > > Station d'Ecologie Théorique et Expérimentale (SETE)____
> >> > >
> >> > > CNRS de Moulis____
> >> > >
> >> > > image.pngimage.png____
> >> > >
> >> > >
> >> > >
> >> > >
> >> > >
> >> >
> >> <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient
> >> <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient>
>
> >>
> >> >
> >> <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient
> >> <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient>>>
>
> >>
> >> >
> >> > > Virus-free. www.avg.com <http://www.avg.com>
> >> <http://www.avg.com <http://www.avg.com>>
> >> > >
> >> >
> >> <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient
> >> <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient>
>
> >>
> >> >
> >> <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient
> >> <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient>>>
>
> >>
> >> >
> >> > >
> >> > >
> >> > > <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
> >> > >
> >> > > _______________________________________________
> >> > > R-sig-meta-analysis mailing list
> >> > > R-sig-meta-analysis using r-project.org
> >> <mailto:R-sig-meta-analysis using r-project.org>
> >> > <mailto:R-sig-meta-analysis using r-project.org
> >> <mailto:R-sig-meta-analysis using r-project.org>>
> >> > > https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis
> >> <https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis>
> >> > <https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis
> >> <https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis>>
> >> > >
> >> >
> >> > --
> >> > Michael
> >> > http://www.dewey.myzen.co.uk/home.html
> >> <http://www.dewey.myzen.co.uk/home.html>
> >> > <http://www.dewey.myzen.co.uk/home.html
> >> <http://www.dewey.myzen.co.uk/home.html>>
> >> >
> >> >
> >> >
> >> > --
> >> >
> >> > ------------------------------------------
> >> >
> >> > Gladys Barragan-Jason, PhD. ____ Website
> >> > <https://sites.google.com/view/gladysbarraganjason/home
> >> <https://sites.google.com/view/gladysbarraganjason/home>>
> >> >
> >> > Station d'Ecologie Théorique et Expérimentale (SETE)____
> >> >
> >> > CNRS de Moulis____
> >> >
> >> > image.pngimage.png____
> >> >
> >> >
> >> >
> >>
> >> -- Michael
> >> http://www.dewey.myzen.co.uk/home.html
> >> <http://www.dewey.myzen.co.uk/home.html>
> >>
> >
>
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