Using Bayesian Meta-Analysis to Explore the Components of Early Literacy Interventions. Appendices. WWC 2023-008

The appendices accompany the full report "Using Bayesian Meta-Analysis to Explore the Components of Early Literacy Interventions. WWC 2023-008," (ED630495), which pilots a new taxonomy developed by early literacy experts and intervention developers as part of a larger effort to develop standard nomenclature for the components of literacy interventions. The What Works Clearinghouse (WWC) uses Bayesian meta-analysis--a statistical method to systematically summarize evidence across multiple studies--to estimate the associations between intervention components and intervention impacts. Twenty-nine studies of 25 early literacy interventions that were previously reviewed by the WWC and met the WWC's rigorous research standards were included in the analysis. The following apprendices are presented: (1) Components of Early Literacy Interventions; (2) Data from the What Works Clearinghouse's Database of Reviewed Studies; (3) The Bayesian Meta-Analytic Model; (4) Additional Results; and (5) Component Coding Protocol.