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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
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Calonge, Ned; Shekelle, Paul G.; Owens, Douglas K.; Teutsch, Steven; Downey, Autumn; Brown, Lisa; Noyes, Jane – Research Synthesis Methods, 2023
Despite research investment and a growing body of diverse evidence there has been no comprehensive review and grading of evidence for public health emergency preparedness and response practices comparable to those in medicine and other public health fields. The National Academies of Sciences, Engineering, and Medicine convened an ad hoc committee…
Descriptors: Evidence, Synthesis, Mixed Methods Research, Public Health
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Douthwaite, Boru; Proietti, Claudio; Polar, Vivian; Thiele, Graham – American Journal of Evaluation, 2023
This paper develops a novel approach called Outcome Trajectory Evaluation (OTE) in response to the long-causal-chain problem confronting the evaluation of research for development (R4D) projects. OTE strives to tackle four issues resulting from the common practice of evaluating R4D projects based on theory of change developed at the start. The…
Descriptors: Research and Development, Change, Program Evaluation, Social Sciences
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Razmgir, Maryam; Panahi, Sirous; Ghalichi, Leila; Mousavi, Seyed Ali Javad; Sedghi, Shahram – Research Evaluation, 2021
This article explores the models and frameworks developed on "research impact'. We aim to provide a comprehensive overview of related literature through scoping study method. The present research investigates the nature, objectives, approaches, and other main attributes of the research impact models. It examines to analyze and classify models…
Descriptors: Evaluation Research, Models, Evaluation Methods, Classification
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Li-Na Ma; Rui Peng; Jing-Ji Xu; Qing-Ling Yang; A-Ceng Li; Ye Han; Lei Yuan; Fan Shen; Dan-Qing Yin; Min-Wen Zheng; Ya-Yu Huang; Jing Ren – Anatomical Sciences Education, 2025
The traditional approach of using PowerPoint (PPT) presentations in medical imaging theory classes hinders the spatial thinking ability of most students. Consequently, the learning outcomes are often unsatisfactory. This article proposes a naked eye three-dimensional (3D) medical imaging teaching assistant app based on augmented reality (AR)…
Descriptors: Teaching Assistants, Theories, Courses, Medical Services
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Lanah Stafford; Erin Cousins; Linda Bol; Megan Mize – Research & Practice in Assessment, 2023
Integrative learning is an important outcome for graduates of higher education. Therefore, it should be well-defined and assessed reliably. The American Association of Colleges & Universities has developed a rubric to define and assess integrative learning, but it has low reliability. This pilot study examines whether this rubric's reliability…
Descriptors: Scoring Rubrics, Reliability, Evaluation Methods, Faculty Development