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Using Bayesian Meta-Analysis to Explore the Components of Early Literacy Interventions. WWC 2023-008
Peer reviewed
Download full textWalsh, 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
Direct linkAbrami, Philip; Borohkovski, Eugene; Lysenko, Larysa – Journal of Interactive Learning Research, 2015
This meta-analysis summarizes research on the effects of a comprehensive, interactive web-based software (AXXX) on the development of reading competencies among kindergarteners and elementary students. Findings from seven randomized control trials and quasi-experimental studies undertaken in a variety of contexts across Canada, Australia and Kenya…
Descriptors: Foreign Countries, Kindergarten, Young Children, Computer Assisted Instruction
