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Christina Weiland; Rebecca Unterman; Susan Dynarski; Rachel Abenavoli; Howard Bloom; Breno Braga; Anne-Marie Faria; Erica Greenberg; Brian A. Jacob; Jane Arnold Lincove; Karen Manship; Meghan McCormick; Luke Miratrix; Tomás E. Monarrez; Pamela Morris-Perez; Anna Shapiro; Jon Valant; Lindsay Weixler – Grantee Submission, 2024
Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. The authors' collaborative network of five research teams applying this design in early education settings and methods experts has identified six challenges that need to be carefully considered in this next…
Descriptors: Early Childhood Education, Program Evaluation, Evaluation Methods, Admission (School)
Rachel Abenavoli; Natalia Rojas; Rebecca Unterman; Elise Cappella; Josh Wallack; Pamela Morris – Grantee Submission, 2021
In this article, Rachel Abenavoli, Natalia Rojas, Rebecca Unterman, Elise Cappella, Josh Wallack, and Pamela Morris argue that research-practice partnerships make it possible to rigorously study relevant policy questions in ways that would otherwise be infeasible. Randomized controlled trials of small-scale programs have shown us that early…
Descriptors: Educational Research, Early Childhood Education, Research Design, Preschool Education
Ottley, Jennifer Riggie; Ferron, John M.; Hanline, Mary Frances – Grantee Submission, 2016
The purpose of this study was to explain the variability in data collected from a single-case design study and to identify predictors of communicative outcomes for children with developmental delays or disabilities (n = 4). Using SAS® University Edition, we fit multilevel models with time nested within children. Children's level of baseline…
Descriptors: Communication (Thought Transfer), Hierarchical Linear Modeling, Research Design, Predictor Variables