[R-meta] Pseudoreplication
Dear all, I am contacting you to have your advice about a reviewer comment on a meta-analysis. The reviewer said that as we used multiple comparisons from within studies (e.g., five effect sizes from one particular paper comparisons), this raises the potential of pseudoreplication issue and he/she suggests to do the following: recalculate the overall effect sizes after sampling one comparison from each separate study and calculate the estimated mean and 95% CI of effect size by bootstrap resampling 1,000 times in R. However, I think I've already taken into account non-independence of the data by including three random effects using metafor to control for multiple data from the same article, multiple data from same participants from the same study and multiple estimates within a study within a lab. So I coded random effect as follows: ~1|articleID/studyID/estID. I think this is the right way to take into account heterogeneity of the data but I would like to know if I am correct or if the pseudoreplication techniques gave something different and/or complementary? Thanks in advance for your help! Best, Gladys
------------------------------------------ Gladys Barragan-Jason, PhD. Website <https://sites.google.com/view/gladysbarraganjason/home> / Site web <https://sites.google.com/view/frgladysbarragan-jason/accueil> Station d'Ecologie Th?orique et Exp?rimentale (SETE) CNRS de Moulis [image: image.png][image: image.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20210928/80343d4c/attachment.html> -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.png Type: image/png Size: 7125 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20210928/80343d4c/attachment.png>