-----Original Message-----
From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On
Behalf Of Zhang Yikang
Sent: Monday, 21 March, 2022 12:54
To: r-sig-meta-analysis at r-project.org
Subject: [R-meta] effect sizes for pre-post mean differences or within-subject
design comparison without correlation info
Dear r-sig members,
I am trying to conduct a meta-analysis examining how social feedback impact
people?s belief in their memories. Normally the design of the studies include
ratings of their memories before and after the social feedback (i.e., a pre-post
comparison) or a within-subject design where some memories receive feedback and
others don?t.
In both situations, the ratings between the two groups are correlated. However,
to calculate the effect sizes of such design, metaphor also needs the input of
the correlations between the pre and post ratings (or ratings in control and
feedback conditions), which are unavailable to me.
So, I was wondering if there is a way to by-pass the stats of correlations and
just use mean and SD. And if there is none, is it justified to treat the data as
if they were independent and compute the effect sizes using the ?SMD? method and
acknowledge this comprise in the manuscript?
Many thanks for your help!
Best regards,
Yikang
Yikang Zhang|???, PhD Student
Faculty of Psychology and Neuroscience (Forensic Psychology
Section<https://www.flpmaastricht.org/>), Maastricht University
UNS 40 Room 3.749 (TEL 84075)
Lab: Criminological and Experimental Legal Psychology Lab
(CELL)<https://www.celleuven.com/> at KU Leuven