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Thomas S. Dee – Evaluation Review, 2025
The recognition that researcher discretion coupled with unconscious biases and motivated reasoning sometimes leads to false findings ("p-hacking") led to the broad embrace of study preregistration and other open-science practices in experimental research. Paradoxically, the preregistration of quasi-experimental studies remains uncommon…
Descriptors: Quasiexperimental Design, Program Evaluation, Policy Analysis, Research Problems
Jiang Li; Chen Zhu; Mark Goh – Research Evaluation, 2025
Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…
Descriptors: Foreign Countries, Research and Development, COVID-19, Pandemics
Lashawn Richburg-Hayes; Rashida Welbeck; Michelle Manno – Journal of Research on Educational Effectiveness, 2025
Many postsecondary institutions have developed programming to support males of color as an approach to increase retention and graduation rates. To contribute to the understanding of the effectiveness of providing a bundle of services, the authors embarked on a mixed-methods, randomized controlled trial (RCT) of a two-semester male of color program…
Descriptors: Race, Racism, Postsecondary Education, Males

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