Advice for Improving the Reproducibility of Data Extraction in Meta-Analysis

발행: 2023
확인된 저자: Ivimey-Cook, Edward R. · Noble, Daniel W. A. · Nakagawa, Shinichi
소속·발행: Research Synthesis Methods
출처: 해외 ERIC
원문: 서지 보기 ↗

개념

초록

Extracting data from studies is the norm in meta-analyses, enabling researchers to generate effect sizes when raw data are otherwise not available. While there has been a general push for increased reproducibility in meta-analysis, the transparency and reproducibility of the data extraction phase is

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