An assessment of statistical methods for nonindependent data in ecological meta-analyses: Comment

Shinichi Nakagawa*, Alistair M. Senior, Wolfgang Viechtbauer, Daniel W.A. Noble

*Corresponding author for this work

    Research output: Contribution to journalComment/debatepeer-review

    9 Citations (Scopus)

    Abstract

    Recently, Song et al. (2020) conducted a simulation study using different methods to deal with non-independence resulting from effect sizes originating from the same paper a common occurrence in ecological meta-analyses. The main methods that were of interest in their simulations were: 1) a standard random-effects model used in combination with a weighted average effect size for each paper (i.e., a two-step method), 2) a standard random-effects model after randomly choosing one effect size per paper, 3) a multilevel (hierarchical) meta-analysis model, modelling paper identity as a random factor, and 4) a meta-analysis making use of a robust variance estimation method. Based on their simulation results, they recommend that meta-analysts should either use the two-step method, which involves taking a weighted paper mean followed by analysis with a random-effects model, or the robust variance estimation method.
    Original languageEnglish
    Article numbere03490
    JournalEcology
    Volume103
    Issue number1
    DOIs
    Publication statusPublished - Jan 2022

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