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Temkin, Deborah; Thompson, Joy A.; Gabriel, Alex; Fulks, Emily; Sun, Sarah; Rodriguez, Yosmary – Phi Delta Kappan, 2021
As states consider non-academic measures of school quality for their accountability plans under the Every Student Succeeds Act, few are choosing to focus on the school climate in which students learn. That's not a surprise, given concerns about the validity and usefulness of existing climate surveys. However, the authors argue, a recent study…
Descriptors: Educational Environment, Data Collection, Evaluation Methods, Elementary Secondary Education
Weiland, Christina; Rosada, Paola Guerrero – MDRC, 2022
High-quality pre-K sets children on a path for success in kindergarten and beyond. Yet most children in the United States do not attend high-quality programs, with particularly pronounced gaps in quality for children from families with low incomes, dual language learners, Black children, and Latino children. Ensuring equitable access to…
Descriptors: Educational Quality, Low Income, English (Second Language), Minority Group Students
McCormick Center for Early Childhood Leadership at National Louis University, 2019
Leaders, policymakers, and systems developers seek to improve early childhood programs through data driven decision-making. Data can be useful for informing continuous quality improvement efforts at the classroom and program level and for creating support for workforce development at the system level. Early childhood program leaders use…
Descriptors: Educational Quality, Educational Improvement, Early Childhood Education, Decision Making
Gordon, Rachel A.; Peng, Fang – Grantee Submission, 2020
The standard scoring of the CLASS PreK produces three domain scores that are widely used in research, practice and policy. Despite these domains being based on developmental theory and research, limited empirical evidence exists for the three-domain structure as operationalized in the CLASS PreK. Using the 2009 and 2014 Head Start Family and Child…
Descriptors: Preschool Education, Low Income Groups, Federal Programs, Factor Structure