Quantitative Evidence Synthesis Training (QuEST) for the AIR Pipeline Partnership Program (P3)
Quantitative evidence synthesis, or the statistical combination of findings across studies, is crucial to evidence translation and application. Individual studies can be flawed or non-representative, but evidence syntheses can reveal patterns of findings across studies, correct for well-established research and reporting biases, and advance understanding of for whom and under what circumstances effects are likely to be observed.
Given the high impact of evidence synthesis in advancing knowledge and driving evidence-based decisions, equipping students with these skills is a strategic investment in their future and the social and behavioral sciences fields at large.
While evidence syntheses are increasingly valued for their ability to generate actionable insights and inform policy, opportunities to formally learn these methods are not yet widespread in graduate programs within the social and behavioral sciences. Training programs create an opportunity to empower students with specialized skills that enhance their ability to integrate quantitative evidence synthesis into their academic work, such as theses or dissertations.
The Quantitative Evidence Synthesis Training (QuEST) program, developed by AIR for Pipeline Partnership Program (P3) participants, addresses this need by offering a comprehensive learning experience. QuEST integrates virtual events, immersive training, and ongoing mentorship to support students in mastering synthesis methodologies and developing meta-analysis projects aligned with their academic and professional aspirations. This dynamic approach not only builds participants’ research capacities but also enhances their career readiness and strengthens the talent pipeline in the social and behavioral sciences.
