[R-meta] multiple correlation meta-analysis as in Cheung & Chan (2002)

Catia Oliveira c@t|@@o||ve|r@ @end|ng |rom york@@c@uk
Sun Jan 15 03:49:52 CET 2023

I'm referring to the paper with Chan from 2000, this is an unpublished
paper. I indicated the wrong date in the title.

On Sun, Jan 15, 2023, 2:43 AM Mike Cheung <mikewlcheung using gmail.com> wrote:

> Dear Catia,
> I am afraid I did not get your questions, as something was wrong here.
> The study you mentioned neither used multiple correlations as the effect
> sizes nor Hunter and Schmidt's approach. It used correlation matrices as
> inputs to fit a customized meta-analytic structural equation modeling
> (MASEM) to handle interactions.
> The complete data and R code are available at https://osf.io/3w2k7/ for
> reproducibility.
> Best,
> Mike
> On Thu, Jan 12, 2023 at 10:47 PM Catia Oliveira <catia.oliveira using york.ac.uk>
> wrote:
>> Hello,
>> I am interested in running a similar study to that conducted by Mike
>> Cheung (The role of perceived behavioral control in predicting human
>> behavior: A
>> meta-analytic review of studies on the theory of planned behavior)
>> where the multiple correlations estimates (square root of R2) were
>> tracked to determine whether a set of predictors have explanatory
>> power when one has been accounted for. This will be done across
>> datasets, so I would have to pool all the multiple correlations
>> estimates using the same variables (e.g. all studies with 2 predictors
>> X ~ A + B and all studies with 3 predictors X ~ A + B + C). Could I
>> still use the Hunter and Schmidt approach used by Mike Cheung to
>> aggregate the multiple correlations estimates? If so, how can I then
>> compare the size of the R2 based on the number of predictors (e.g., is
>> the multiple correlations estimates for 3 predictors sig higher than
>> for 2)?
>> Thank you,
>> Catia
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