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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
Hearnshaw, Stephanie; Baker, Elise; Munro, Natalie – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The aim of this study was to conduct a systematic review and meta-analysis to investigate whether preschool- and early school-age children with speech sound disorders (SSDs) have difficulties with speech perception. Method: Systematic searching of 8 electronic databases identified 73 eligible studies across 71 articles examining the…
Descriptors: Auditory Perception, Speech Impairments, Preschool Children, Incidence
D'Agostino, Jerome V.; Harmey, Sinéad J. – Journal of Education for Students Placed at Risk, 2016
Reading Recovery is one of the most researched literacy programs worldwide. Although there have been at least 4 quantitative reviews of its effectiveness, none have considered all rigorous group-comparison studies from all implementing nations from the late 1970s to 2015. Using a hierarchical linear modeling (HLM) v-known analysis, we examined if…
Descriptors: Meta Analysis, Reading, Reading Programs, Hierarchical Linear Modeling