[R-meta] effect sizes for pre-post mean differences or within-subject design comparison without correlation info
Viechtbauer, Wolfgang (SP)
wo||g@ng@v|echtb@uer @end|ng |rom m@@@tr|chtun|ver@|ty@n|
Thu Mar 24 13:17:38 CET 2022
The pre-post correlations are really needed. If you don't know them, then you could use 'guestimates'. This has been discussed previously on this list, so search the archives for related discussions. Treating the data as if they are SMDs would not be correct.
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On
>Behalf Of Zhang Yikang
>Sent: Monday, 21 March, 2022 12:54
>To: r-sig-meta-analysis using 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
>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!
>Yikang Zhang|张义康, 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
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