Meta-analyzing dependent correlations

[Bruce Weaver]

Here's an article in the latest issue of Behavior Research Methods that may be of interest to some list members:

Meta-analyzing dependent correlations: An SPSS macro and an R script
Shu Fai Cheung & Darius K.-S. Chan
Behav Res (2014) 46:331–345
DOI 10.3758/s13428-013-0386-2

Those with institutional access can use this link:

http://link.springer.com/article/10.3758/s13428-013-0386-2/fulltext.html?wt_mc=alerts.TOCjournals#Sec13

[Ryan]

Interesting topic, Bruce. This just got me thinking about linear mixed modeling--surprise, surprise! 

Going off on a tangent for a moment (and this is truly a tangent, so forgive me), I'd like to point out that it is possible to appropriately estimate a linear correlation between measurements on two variables from dependent samples using a linear mixed model. In other words, imagine if we collected data on x and y at time 1 from N subjects and then collected data on x and y at time 2 from the same N subjects, and we wanted to estimate the linear correlation between x and y--a linear mixed model could be employed. 

Best,

Ryan

On Tue, May 27, 2014 at 7:26 AM, Bruce Weaver <[hidden email]> wrote:

Here's an article in the latest issue of Behavior Research Methods that may
be of interest to some list members:

Meta-analyzing dependent correlations: An SPSS macro and an R script
Shu Fai Cheung & Darius K.-S. Chan
Behav Res (2014) 46:331–345
DOI 10.3758/s13428-013-0386-2

Those with institutional access can use this link:

http://link.springer.com/article/10.3758/s13428-013-0386-2/fulltext.html?wt_mc=alerts.TOCjournals#Sec13





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Bruce Weaver
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