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Julia Anne Maxwell – New Review of Academic Librarianship, 2025
Evidence synthesis (ES) has emerged as a key research method within the social and behavioral sciences. Academic librarians, as experts on information search and retrieval, are often highly valued contributors to faculty ES projects. While many libraries have formed team-based ES services to support researchers, and have discussed insights from…
Descriptors: Academic Libraries, Librarians, Library Services, Social Sciences
Danielle Pollock; Timothy Hugh Barker; Jennifer C. Stone; Edoardo Aromataris; Miloslav Klugar; Anna M. Scott; Cindy Stern; Amanda Ross-White; Ashley Whitehorn; Rick Wiechula; Larissa Shamseer; Zachary Munn – Research Synthesis Methods, 2024
Predatory journals are a blemish on scholarly publishing and academia and the studies published within them are more likely to contain data that is false. The inclusion of studies from predatory journals in evidence syntheses is potentially problematic due to this propensity for false data to be included. To date, there has been little exploration…
Descriptors: Periodicals, Deception, Ethics, Medical Research
Brinley N. Zabriskie; Nolan Cole; Jacob Baldauf; Craig Decker – Research Synthesis Methods, 2024
Meta-analyses have become the gold standard for synthesizing evidence from multiple clinical trials, and they are especially useful when outcomes are rare or adverse since individual trials often lack sufficient power to detect a treatment effect. However, when zero events are observed in one or both treatment arms in a trial, commonly used…
Descriptors: Meta Analysis, Error Correction, Computation, Simulation
Gerald Gartlehner; Leila Kahwati; Rainer Hilscher; Ian Thomas; Shannon Kugley; Karen Crotty; Meera Viswanathan; Barbara Nussbaumer-Streit; Graham Booth; Nathaniel Erskine; Amanda Konet; Robert Chew – Research Synthesis Methods, 2024
Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…
Descriptors: Data Collection, Evidence, Synthesis, Language Processing
Tricia Corrin; Paul Cairney; Eric B. Kennedy – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: COVID-19 accentuated an evergreen dilemma in evidence-informed policy making--the imperative to synthesise the best available evidence with limited time to produce high quality synthesis. The pandemic prompted the adaptation of evidence synthesis practices to match the urgency of the crisis, and heightened demand by policy makers,…
Descriptors: Evidence, Synthesis, COVID-19, Pandemics
Jona Lilienthal; Sibylle Sturtz; Christoph Schürmann; Matthias Maiworm; Christian Röver; Tim Friede; Ralf Bender – Research Synthesis Methods, 2024
In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…
Descriptors: Bayesian Statistics, Meta Analysis, Health Sciences, Technology
Kathleen Lynch; Kathryn E. Gonzalez; Heather C. Hill; Ramsey Merritt – Annenberg Institute for School Reform at Brown University, 2024
Inconsistent reporting of critical facets of classroom interventions and their related impact evaluations hinders the field's ability to describe and synthesize the existing evidence base. In this essay, we present a set of reporting guidelines intended to steer authors of classroom intervention studies toward providing more systematic reporting…
Descriptors: Meta Analysis, Mathematics Teachers, Science Teachers, Faculty Development
Melissa Bond – International Journal of Educational Technology in Higher Education, 2024
In celebrating the 20th anniversary of the "International Journal of Educational Technology in Higher Education (IJETHE)," previously known as the "Revista de Universidad y Sociedad del Conocimiento (RUSC)," it is timely to reflect upon the shape and depth of educational technology research as it has appeared within the…
Descriptors: Periodicals, Journal Articles, Educational Technology, Higher Education