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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
Fujimoto, Ken A.; Gordon, Rachel A.; Peng, Fang; Hofer, Kerry G. – Grantee Submission, 2018
Classroom quality measures, such as the Early Childhood Environment Rating Scale, Revised (ECERS-R), are widely used in research, practice, and policy. Increasingly, these uses have been for purposes not originally intended, such as contributing to consequential policy decisions. The current study adds to recent evidence of problems with the…
Descriptors: Rating Scales, Educational Quality, Early Childhood Education, Preschool Curriculum
McLaughlin, Tara W.; Snyder, Patricia A.; Algina, James – Grantee Submission, 2017
The Learning Target Rating Scale (LTRS) is a measure designed to evaluate the quality of teacher-developed learning targets for embedded instruction for early learning. In the present study, we examined the measurement dependability of LTRS scores by conducting a generalizability study (G-study). We used a partially nested, three-facet model to…
Descriptors: Generalizability Theory, Scores, Rating Scales, Evaluation Methods
Thompson, Aaron M.; Macy, Rebecca J.; Fraser, Mark W. – Grantee Submission, 2011
Advances in statistics provide new methods for analyzing practice data. These advances include person-centered methods (PCMs) that identify subgroups of research participants with similar characteristics. PCMs derive from a frame of reference that is similar to the risk factor perspective in practice. In practice, the delivery of services is often…
Descriptors: At Risk Persons, Risk, Profiles, Data Analysis