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Peer reviewed
Download full textForrow, 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
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
Direct linkFahle, Erin M.; Reardon, Sean F. – Educational Researcher, 2018
This paper provides the first population-based evidence on how much standardized test scores vary among public school districts within each state and how segregation explains that variation. Using estimates based on roughly 300 million test score records in math and English Language Arts (ELA) for Grades 3 through 8 from every U.S. public school…
Descriptors: School Districts, Scores, Academic Achievement, Population Groups
Preston, Courtney – Journal of Teacher Education, 2017
For over two decades, there have been calls to assess the relationship of the features of teacher preparation programs to teacher effectiveness, to provide guidance for program improvement. At the middle grades level, theory suggests that coursework in educational psychology is particularly important for teacher effectiveness. Using 4 years of…
Descriptors: Teacher Education Programs, Middle School Students, Academic Achievement, Achievement Gains
Immekus, Jason C.; Atitya, Ben – Educational Assessment, 2016
Interim tests are a central component of district-wide assessment systems, yet their technical quality to guide decisions (e.g., instructional) has been repeatedly questioned. In response, the study purpose was to investigate the validity of a series of English Language Arts (ELA) interim assessments in terms of dimensionality and prediction of…
Descriptors: Predictive Validity, Scores, Formative Evaluation, Language Tests
Lee, Jaekyung; Wu, Yin – Education Policy Analysis Archives, 2017
This study examines the trends of the U.S. states' reading and math proficiency standards before and after the adoption of the Common Core State Standards (CCSS) and explores their impact on school practices and student achievement. Drawing on the 2003-15 National Assessment of Educational Progress (NAEP) grades 4 and 8 assessment and survey…
Descriptors: Common Core State Standards, Educational Trends, Reading Skills, Mathematics Skills
Fung, Karen; ElAtia, Samira – TESL Canada Journal, 2015
Using Hierarchical Linear Modelling (HLM), this study aimed to identify factors such as ESL/ELL/EAL status that would predict students' reading performance in an English language arts exam taken across Canada. Using data from the 2007 administration of the Pan-Canadian Assessment Program (PCAP) along with the accompanying surveys for students and…
Descriptors: Foreign Countries, Hierarchical Linear Modeling, Predictor Variables, English (Second Language)
Vadasy, Patricia F.; Sanders, Elizabeth A.; Logan Herrera, Becky – Journal of Research on Educational Effectiveness, 2015
A multi-cohort cluster randomized trial was conducted to estimate effects of rich vocabulary classroom instruction on vocabulary and reading comprehension. A total of 1,232 fourth- and fifth-grade students from 61 classrooms in 24 schools completed the study. Students received instruction in 140 Tier Two vocabulary words featured in two…
Descriptors: Vocabulary Development, Grade 4, Grade 5, Elementary School Students
Boardman, Alison; Buckley, Pamela; Maul, Andrew; Vaughn, Sharon – Society for Research on Educational Effectiveness, 2014
Collaborative Strategic Reading (CSR) is a set of research-based strategies designed to improve reading comprehension, enhance students' content area learning, facilitate access to higher-level texts, and to promote student engagement. The present study examines how fidelity of implementation of CSR is associated with reading outcomes for students…
Descriptors: Cooperative Learning, Reading Instruction, Reading Strategies, Learning Strategies
Valentino, Rachel A.; Reardon, Sean F. – Grantee Submission, 2015
This paper investigates the differences in academic achievement trajectories from elementary through middle school among English Learner students in four different instructional programs: English Immersion, Transitional Bilingual, Developmental Bilingual, and Dual Immersion programs. Comparing students with the same parental preferences but who…
Descriptors: Elementary School Students, Middle School Students, Academic Achievement, English Language Learners
