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Reddy, Linda A.; Lekwa, Adam; Dudek, Christopher; Kettler, Ryan; Hua, Anh – Journal of Psychoeducational Assessment, 2020
This investigation examined whether teacher practices, as measured by the Classroom Strategies Assessment System (CSAS), were associated with students' proficiency and gain scores, as measured by the Measure of Academic Progress (MAP), in 13 high-poverty charter schools in New Jersey. Results from two-level hierarchical linear models, fitted to a…
Descriptors: Academic Achievement, Poverty, Classroom Techniques, Charter Schools
Allison Atteberry; Andrew McEachin – American Educational Research Journal, 2021
Summer learning loss (SLL) is a familiar and much-studied phenomenon, yet new concerns that measurement artifacts may have distorted canonical SLL findings create a need to revisit basic research on SLL. Though race/ethnicity and socioeconomic status only account for about 4% of the variance in SLL, nearly all prior work focuses on these factors.…
Descriptors: Achievement Gap, Academic Achievement, Language Arts, Hierarchical Linear Modeling
García-Jiménez, Jesús; Torres-Gordillo, Juan-Jesús; Rodríguez-Santero, Javier – Education Sciences, 2022
School effectiveness is a topic of interest addressed by numerous research projects focused on clarifying which variables contribute to the explanation of educational performance. This research aims to find out to what extent social, cultural, and academic variables at the student and school levels, as perceived by families, influence performance,…
Descriptors: School Effectiveness, Predictor Variables, Identification, Hierarchical Linear Modeling
Stallasch, Sophie E.; Lüdtke, Oliver; Artelt, Cordula; Brunner, Martin – Journal of Research on Educational Effectiveness, 2021
To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including measures of between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous…
Descriptors: Foreign Countries, Randomized Controlled Trials, Intervention, Educational Research
Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Johnson, Angela; Kuhfeld, Megan; Soland, James – AERA Open, 2021
Leveraging achievement data measured in the fall and spring of kindergarten through eighth grade for 840,000 students attending 8,800 public schools, we report novel evidence on how achievement and growth patterns differ between rural and nonrural schools. Rural students start kindergarten slightly ahead of nonrural students but fall behind by…
Descriptors: Academic Achievement, Rural Schools, Elementary School Students, Trend Analysis
Wu, Jason Hsinchieh; Lin, Chunn-Ying – Asia Pacific Education Review, 2018
Research on teacher and school academic optimism has abounded ever since these two constructs were confirmed and shown to have positive effects on student achievement. However, one overlooked research question is the nested association between teacher and school academic optimism. This study intends to fill this gap by using hierarchical linear…
Descriptors: Hierarchical Linear Modeling, Elementary School Students, Elementary School Teachers, Foreign Countries
Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on ELA achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) ELA assessment. This study compared the ELA achievement growth in the 2020-21 school year of students who…
Descriptors: English, Language Arts, Computer Assisted Instruction, Computer Assisted Testing
De Smedt, Fien; Van Keer, Hilde – Reading and Writing: An Interdisciplinary Journal, 2018
As writing is a complex and resource demanding task, high-quality writing instruction is indispensable from primary grades on to support beginning writers in developing effective writing skills. Writing research should therefore provide teachers and schools with evidence-based guidelines for teaching writing in daily practice. In this respect, the…
Descriptors: Elementary School Students, Writing (Composition), Direct Instruction, Writing Instruction
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
Chingos, Matthew M.; Whitehurst, Grover J.; Gallaher, Michael R. – Education Finance and Policy, 2015
School districts are a focus of education reform efforts in the United States, but there is very little existing research about how important they are to student achievement. We fill this gap in the literature using 10 years of student-level, statewide data on fourth- and fifth-grade students in Florida and North Carolina. A variance decomposition…
Descriptors: School Districts, Academic Achievement, Grade 4, Grade 5
Harbour, Kristin E.; Adelson, Jill L.; Pittard, Caroline M.; Karp, Karen S. – Elementary School Journal, 2018
Using restricted-use data from the 2011 National Assessment of Educational Progress mathematics assessment, the current study examined the relationship between the presence of elementary mathematics coaches and specialists (MCSs) and the mathematics achievement of more than 190,000 fourth-grade students in more than 7,400 schools nationwide. In…
Descriptors: Correlation, Mathematics Instruction, Academic Achievement, National Competency Tests
Tymms, Peter; Merrell, Christine; Bailey, Katharine – School Effectiveness and School Improvement, 2018
This paper investigates the impact of effective schooling in the 1st year of elementary school on later academic outcomes and equal educational opportunity. A large longitudinal dataset from England was used to estimate the importance of the 1st year of elementary school for academic outcomes up to age 16. Multilevel models, controlling for…
Descriptors: Instructional Effectiveness, Elementary Education, Academic Achievement, Secondary Education