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Huang Wu; Jianping Shen; Xin Li; Megan Russell Johnson; Huilan Y. Krenn – Early Childhood Education Journal, 2025
Michigan's Great Start Readiness Program (GSRP) is a state-funded pre-K program that serves at risk four-year-old children across the state. Utilizing longitudinal data from 1,394 children in a mid-sized urban school district, we conducted regression analyses and piecewise linear growth models to examine the growth trajectory of GSRP children and…
Descriptors: State Programs, School Readiness, Preschool Education, At Risk Students
Heck, Ronald H.; Reid, Tingting; Leckie, George – School Effectiveness and School Improvement, 2022
Increasing pupil mobility has led to widespread concern among parents, educators, and policymakers regarding its negative effects on academic performance. An important issue in examining mobility effects in longitudinal school achievement comparisons is providing accurate estimates. The presence of pupil mobility suggests that we should model…
Descriptors: Student Mobility, Mathematics Achievement, Growth Models, Educational Improvement
Forthmann, Boris; Förster, Natalie; Souvignier, Elmar – Journal of Intelligence, 2022
Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…
Descriptors: Learning Processes, Progress Monitoring, Robustness (Statistics), Bayesian Statistics