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Direct linkRestrepo, Silvia; ter Horst, Enrique; Zambrano, Juan Diego; Gunn, Laura H.; Molina, German; Salazar, Carlos Andres – Education for Information, 2022
This manuscript builds on a novel, automatic, freely-available Bayesian approach to extract information in abstracts and titles to classify research topics by quartile. This approach is demonstrated for all N= 149,129 ISI-indexed publications in biological sciences journals during 2017. A Bayesian multinomial inverse regression approach is used to…
Descriptors: Bayesian Statistics, Biological Sciences, Trend Analysis, Classification
Nguyen, Vivian; Versyp, Otto; Cox, Christopher; Fusaroli, Riccardo – Child Development, 2022
Fluent conversation requires temporal organization between conversational exchanges. By performing a systematic review and Bayesian multi-level meta-analysis, we map the trajectory of infants' turn-taking abilities over the course of early development (0 to 70 months). We synthesize the evidence from 26 studies (78 estimates from 429 unique…
Descriptors: Child Development, Meta Analysis, Infants, Reaction Time
Using Bayesian Meta-Analysis to Explore the Components of Early Literacy Interventions. WWC 2023-008
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
