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Published on: November 27, 2019
Transparency and Reproducibility of Meta-Analyses in Psychology: A Meta-Review
Joshua R Polanin1, Emily A Hennessy2, Sho Tsuji3,4
1Research & Evaluation, American Institutes for Research, Washington, D.C.
Psychological meta-analyses show moderate transparency, reporting only 55% of criteria. While reporting improved over time, crucial details for reproducibility, like individual study data and statistical code, are often missing.
Area of Science:
- Psychological research methodology
- Research synthesis
- Meta-analysis
Background:
- Systematic reviews and meta-analyses rely on transparent primary research reporting.
- High transparency and reproducibility are expected from meta-analysts.
- This assumption requires empirical testing within psychological sciences.
Purpose of the Study:
- To assess the transparency and reproducibility of meta-analyses in psychology.
- To identify specific reporting practices and areas for improvement.
Main Methods:
- Conducted a meta-review of 150 meta-analyses published in *Psychological Bulletin*.
- Extracted data on transparent and reproducible reporting practices.
- Analyzed reporting trends over three decades.
Main Results:
- Authors reported an average of 55% of assessed transparency criteria.
- Transparent reporting practices showed a statistically significant increase over time (b = 1.09, p < .001).
- Commonly reported: eligibility criteria, effect-size, synthesis techniques. Lacking: search results, screening/extraction procedures, individual study data, statistical code.
Conclusions:
- Psychological meta-analyses exhibit moderate transparency, with significant room for improvement in reproducibility.
- Key elements for analytical replication, such as individual study data and statistical code, are frequently omitted.
- The field of psychology and research synthesis should mandate comprehensive transparent and reproducible reporting standards for meta-analyses.
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