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Direct linkDoabler, Christian T.; Clarke, Ben; Kosty, Derek; Turtura, Jessica E.; Firestone, Allison R.; Smolkowski, Keith; Jungjohann, Kathleen; Brafford, Tasia L.; Nelson, Nancy J.; Sutherland, Marah; Fien, Hank; Maddox, Steven A. – Exceptional Children, 2019
Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…
Descriptors: Mathematics Instruction, Problem Solving, Grade 1, Elementary School Students
Cummings, Kelli D.; Stoolmiller, Michael L.; Baker, Scott K.; Fien, Hank; Kame'enui, Edward J. – Reading and Writing: An Interdisciplinary Journal, 2015
We present a method for data-based decision making at the school level using student achievement data. We demonstrate the potential of a national assessment database [i.e., the University of Oregon DIBELS Data System (DDS)] to provide comparative levels of school-level data on average student achievement gains. Through the DDS as a data source,…
Descriptors: Academic Achievement, Formative Evaluation, Achievement Gains, Bayesian Statistics
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
Download full textPetscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Response to Intervention, Achievement Gains, High Stakes Tests, Prediction
Paeplow, Colleen – Wake County Public School System, 2015
In 2013-14, Letterland had strong implementation, with moderate to high fidelity within approximately 90% of Wake County Public School System (WCPSS) K-1 classrooms. The impact of Letterland on students' reading achievement was neutral to positive. A significantly higher percentage of WCPSS kindergarten students were at or above benchmark mid-year…
Descriptors: Reading Achievement, Reading Instruction, Program Descriptions, Program Implementation
Hineman, Patricia – ProQuest LLC, 2009
Due to the increased demands for accountability with the passage of the No Child Left Behind legislation signed in 2002 by President Bush, schools are required to use reading strategies and programs that are supported by scientific research. In Arizona state statute, ARS 15-704, the law outlines the requirements for Arizona school districts to…
Descriptors: Test Results, Phonemic Awareness, School Districts, Scores
