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Data Quality Campaign, 2020
States can and should continue to measure student growth in 2021. Growth data will be crucial to understanding how school closures due to COVID-19 have affected student progress and what supports they will need to get back on track. Education leaders will also need growth data to ensure that any recovery efforts are equitable as well as effective…
Descriptors: Student Evaluation, Growth Models, State Policy, State Standards
Mendels, Pamela – Educational Leadership, 2017
As part of "The Wallace Foundation's Principal Pipeline" initiative, six districts have been working to reshape their school leadership evaluation systems to provide better and more consistent feedback to principals--and ultimately to help them grow in their jobs. In this article, Pamela Mendels, a senior editor at Wallace, describes the…
Descriptors: Principals, Administrator Evaluation, Feedback (Response), School Districts
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Zettler-Greeley, Cynthia M.; Bailet, Laura L.; Murphy, Suzanne; DeLucca, Teri; Branum-Martin, Lee – Early Education and Development, 2018
Research Findings: This study reports outcomes from a randomized, controlled trial of an emergent literacy intervention for prekindergarten children at-risk for reading failure. Children (N = 2219) in 114 preschools and childcare centers were screened for eligibility in fall. Children who scored at-risk (n = 476) were randomized to fall or spring…
Descriptors: Program Effectiveness, Emergent Literacy, Literacy Education, Intervention
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Herrera, Sarah; Zhou, Chengfu; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2017
The 2001 authorization of the No Child Left Behind Act and its standards and accountability requirements generated interest among state education agencies in Florida, Mississippi, and North Carolina, which are served by the Regional Educational Laboratory Southeast, in monitoring changes in student reading and math proficiency at the school level.…
Descriptors: Reading Achievement, Mathematics Achievement, Trend Analysis, Achievement Gap
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Petscher, Yaacov; Quinn, Jamie M.; Wagner, Richard K. – Developmental Psychology, 2016
Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…
Descriptors: Individual Development, Correlation, Longitudinal Studies, Oral Reading