An overview of quantitative synthesis tools associated with review processing.
- Critically review peer-reviewed journal publications.
- Engineer syntheses and solutions from published evidence.
- Appreciate strengths of different synthesis tools and reporting.
- Do a meta-analysis or systematic review.
Scientific synthesis of all academic evidence from data to papers can promote evidence-informed decision making. Every contemporary discipline has some capacity to support and benefit from synthesis tools. Here, we develop a set of heuristics to support innovation and leverage evidence.
A overview of lessons provided in this resource to encourage development and use of synthesis tools relevant to your discipline and challenges.
|1||Introduction to synthesis in science||Examine the scope and extent of synthesis in contemporary science for many disciplines.||Understanding the Impacts of Research Synthesis|
|2||Quantitative synthesis tools||Explore conceptual and mental models for synthesis.||The power of data synthesis to shape the future of the restoration community and capacity|
|3||Evidence workflow reporting||Develop reporting documentation from a formal synthesis review process.||Systematic review and meta-analysis: a primer|
|4||Meta-analysis in R||Develop a template for derived data for analyses, and complete a meta-analysis in R.||The metafor Package: A Meta-Analysis Package for R|
|5||Interpretation of meta-analyses||Examine model outputs from meta-analyses and interpret. Identify key components.||Meta-evaluation of meta-analysis: ten appraisal questions for biologists|
|6||Coursework||A summary of the steps needed to complete summative assessment including rubrics||Appropriate Criteria: Key to Effective Rubrics|
Lortie, CJ (2023): Critical skills for meta-analyses and systematic reviews. figshare. Book. 10.6084/m9.figshare.21817644.v2
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