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MATES: A tool for appraising the completeness with which a meta-analysis has been reported
Kyle Morrison1, Patrice Pottier2, Pietro Pollo1
1Evolution & Ecology Research Centre and the School of Biological, Earth and Environmental Sciences at the University of New South Wales, Sydney, Australia.
A new tool, the Meta-analysis Appraisal Tool for Environmental Sciences (MATES), assesses the completeness of reported meta-analyses. This 14-item checklist ensures the validity and reproducibility of environmental science research syntheses.
Area of Science:
- Environmental Science
- Research Synthesis
- Meta-analysis Methodology
Background:
- Meta-analysis is crucial for systematic reviews but faces challenges due to poor reporting practices.
- Existing reporting checklists do not specifically appraise meta-analysis completeness.
- A validated tool is needed to evaluate the quality of reported meta-analyses in environmental science.
Purpose of the Study:
- To develop and validate a tool for appraising the completeness of reported meta-analyses in environmental sciences.
- To enhance the reliability and reproducibility of meta-analysis reporting.
Main Methods:
- Developed the Meta-analysis Appraisal Tool for Environmental Sciences (MATES) using an iterative Delphi process with experts.
- The Delphi process involved workshops, a survey of 193 participants, and a validation task with 30 participants.
- MATES is a 14-item appraisal tool validated on 50 meta-analyses.
Main Results:
- MATES achieved an average agreement rate of 88.97%, indicating high repeatability.
- The tool is time-efficient, taking an average of 17.00 ± 12.23 minutes to implement.
- A ShinyApp was developed to enhance MATES usability with a training module and application tool.
Conclusions:
- MATES offers a reliable and accessible method for appraising meta-analysis completeness in environmental sciences.
- The tool supports authors, readers, stakeholders, and editors in evaluating research syntheses.
- MATES promotes transparency and rigor in environmental science meta-analysis reporting.
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