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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
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
