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Using Bayesian Meta-Analysis to Explore the Components of Early Literacy Interventions. WWC 2023-008
Walsh, Elias; Deke, John; Robles, Silvia; Streke, Andrei; Thal, Dan – What Works Clearinghouse, 2023
The What Works Clearinghouse (WWC) released a report that applies two methodological approaches new to the WWC that together aim to improve researchers' understanding of how early literacy interventions may work to improve outcomes for students in grades K-3. First, this report pilots a new taxonomy developed by early literacy experts and…
Descriptors: Bayesian Statistics, Meta Analysis, Early Intervention, Literacy
Maynard, Brandy R.; Kremer, Kristen P.; Polanin, Joshua R.; Vaughn, Michael G.; Sarteschi, Christine M. – Society for Research on Educational Effectiveness, 2015
Over the past two decades, the number and types of after-school programs (ASPs) have increased substantially as a result of increased federal and private spending and because ASPs are perceived to provide wide-ranging and far-reaching benefits to students, families, schools and the public. The purpose of this systematic review and meta-analysis is…
Descriptors: After School Programs, Attendance, Student Behavior, Primary Education
United Nations Educational, Scientific, and Cultural Organization, Bangkok (Thailand). Regional Office for Education in Asia and the Pacific. – 1983
This first volume in a two-part report reviews completed and proposed research studies on learning needs and problems in primary education and describes research proposed for Afghanistan, Australia, Bangladesh, India, the Republic of Korea, Malaysia, Nepal, Pakistan, the Philippines, and Thailand. An introductory chapter considers the following…
Descriptors: Classroom Techniques, Developing Nations, Disadvantaged, Educational Improvement