Message-ID: <9a4495e6-d859-83c7-9d1e-a07d664aef1d@unipd.it>
Date: 2019-08-25T16:50:45Z
From: Patrizio E Tressoldi
Subject: [R-meta] Cumulative m-a forest plot
In-Reply-To: <3281ad56-79b7-321b-ee25-c041d4556d52@dewey.myzen.co.uk>
Il 25/08/2019 18:04, Michael Dewey ha scritto:
> Dear Patrizio
>
> Can you post a minima reproducible example of what you are trying to
> achieve, perhaps using one of the built in data-sets, and show us what
> happened versus what you expected to happen?
>
>
I found out the solution in the http://www.metafor-project.org, sorry.
I only needed to name the cumul(res) output, like cum<-cumul(res) and
run the forest(cum) with the preferred order.
Thank you for your assistance.
PS
May you solve my previous request:
I'm using the Rosenthal & Rubin's Proportion Index as a measure of
effect size (Rosenthal, R., & Rubin, D. B. (1989). Effect size
estimation for one-sample multiple-choice-type data: Design, analysis,
and meta-analysis. Psychological Bulletin, 106(2), 332-337).
The range is 0-1, with the null effect = .50.
How can I define this particular ES with a rma analysis? Is it
sufficient to subract the standandarized ES, from the null effect, e.g.
.70 - .50?
Thank you
Patrizio
--
Patrizio E. Tressoldi Ph.D.
Dipartimento di Psicologia Generale
Universit? di Padova
via Venezia 8
35131 Padova - ITALY
http://www.patriziotressoldi.it
https://orcid.org/0000-0002-6404-0058
Science of Consciousness Research Group
http://dpg.unipd.it/en/soc
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