Reduce Absences in Early Grades with Personalized Postcards: Technical Appendix
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This technical appendix provides more detail about the methods and analytic approach outlined in the step-by-step guide.
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College and Career Readiness Data Infrastructure Matrix: Visual Summary Tool
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The College and Career Readiness Data Infrastructure Matrix is a resource developed by the Center for Education Policy Research at Harvard University to help states reflect on and strengthen their data infrastructure, with the ultimate goal of...
College and Career Readiness Data Infrastructure Matrix
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The College and Career Readiness Data Infrastructure Matrix is a resource developed by the Center for Education Policy Research at Harvard University to help states reflect on and strengthen their data infrastructure with the ultimate goal of...
College and Career Readiness Data Infrastructure Matrix: User Guide
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The College and Career Readiness Data Infrastructure Matrix is a resource developed by the Center for Education Policy Research at Harvard University to help states reflect on and strengthen their data infrastructure, with the ultimate goal of...
Hiring for Data Talent: An SDP Resource
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This resource outlines how to hire effective education data talent by aligning role expectations upfront and prioritizing not just technical skills but also integrity, problem-solving, and strong communication.
An Introduction to NCRERN
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NCRERN is a research-practice network that partners with rural districts to test, evaluate, and scale evidence-based strategies—using a continuous improvement model—to improve student outcomes and expand research on rural education.
Financing Community Colleges: Current Landscape and Future Directions
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This chapter describes the community college landscape with a focus on state funding formulas, enrollment declines, and federal recovery investments during the COVID-19 pandemic.
Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions
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This study shows that modeling item-level heterogeneous treatment effects with the Explanatory Item Response Model can reveal meaningful intervention impacts on specific assessment items that are hidden by average test-score analyses.
Understanding Heterogeneous Patterns of Family Engagement With Educational Technology to Inform School-Family Communication in Linguistically Diverse Communities
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This study shows that families engage with educational technology in distinct ways—and that multilingual, two-way text messaging is especially effective for supporting equitable family engagement in linguistically diverse communities.
Leveraging Item Parameter Drift to Assess Transfer Effects in Vocabulary Learning
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This study shows that modeling item parameter drift with the Explanatory Item Response Model reveals durable transfer effects of a content literacy intervention, with especially strong and persistent gains on untaught vocabulary words.