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Extracting Pre-Post Correlations for Meta-Analyses of Repeated Measures Designs
Introduction Meta-analyses synthesizing studies using repeated measures designs are popular for drawing inferences about within-person effects over time or across conditions. While these meta-analyses are capable of providing insight into within-participant effects, when conducted improperly they can lead to biased results (Cuijpers et al.
Jané, Matthew B., Qinyu Xiao, Siu Kit Yeung, Mattan Ben Shachar, Aaron Caldwell, Denis Cousineau, Daniel Dunleavy, et al. 2024. Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. Jané, Matthew B., Tylor J. Harlow, Enrico C. Khu, Saachi Shah, Alexander T. Gould, Ella Veiner, Yuan-Jen Kuo, Chen-Wei Hsu, and Blair T. Johnson.
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