Reliability of meta-analyses in ecology and evolution: (mostly) good news from a case study on sexual signals

荟萃分析 复制 可靠性(半导体) 生态学 生物 统计 计算机科学 心理学 数学 医学 量子力学 物理 内科学 功率(物理)
作者
Pietro Pollo,Malgorzata Lagisz,Renato C. Macedo‐Rego,Ayumi Mizuno,Yefeng Yang,Shinichi Nakagawa
出处
期刊:Proceedings of The Royal Society B: Biological Sciences [Royal Society]
卷期号:292 (2047): 20242782-20242782 被引量:2
标识
DOI:10.1098/rspb.2024.2782
摘要

Meta-analyses are powerful synthesis tools that are popular in ecology and evolution owing to the rapidly growing literature of this field. Although the usefulness of meta-analyses depends on their reliability, such as the precision of individual and mean effect sizes, attempts to reproduce meta-analyses’ results remain rare in ecology and evolution. Here, we assess the reliability of 41 meta-analyses on sexual signals by evaluating the reproducibility and replicability of their results. We attempted to: (i) reproduce meta-analyses’ mean effect sizes using the datasets they provided; (ii) reproduce meta-analyses’ effect sizes by re-extracting 5703 effect sizes from 246 primary studies they used as sources; (iii) assess the extent of relevant data missed by original meta-analyses; and (iv) replicate meta-analyses’ mean effect sizes after incorporating re-extracted and relevant missing data. We found many discrepancies between meta-analyses’ reported results and those generated by our analyses for all reproducibility and replicability attempts. Nonetheless, we argue that the meta-analyses we evaluated are largely reproducible and replicable because the differences we found were small in magnitude, leaving the original interpretation of these meta-analyses’ results unchanged. Still, we highlight issues we observed in these meta-analyses that affected their reliability, providing recommendations to ameliorate them.
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