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Tang, Shifang; Wang, Zhuoying; Sutton-Jones, Kara L. – Educational Studies, 2023
We examined student reading achievement in rural and non-rural school districts in Texas. Our research questions probed the improvement in student performance over time, differences in the number of students achieving at different performance levels, and the impact of district-level characteristics on reading achievement. Through quantitative…
Descriptors: Hierarchical Linear Modeling, Elementary School Students, Achievement Tests, Reading Tests
Beamon, Emily R.; Henson, Robert A.; Kelly, Samantha E.; Hansen, William B.; Wyrick, David L. – Prevention Science, 2023
The goal of the current study is to examine the degree to which measures of quality of implementation and student engagement moderate pretest--posttest changes in mediating variables that are targeted by DARE "keepin' it REAL." DARE officers (10 elementary school, five middle school) taught DARE "keepin' it REAL lessons to 1,017…
Descriptors: Fidelity, Drug Education, Police, Program Implementation
Manuel S. González Canché – AERA Open, 2023
Research has shown that mathematical proficiency gaps are related to students' and schools' indicators of poverty, with fewer studies on neighborhood effects on achievement gaps. Although this literature has accounted for students' nesting within schools, so far, methodological constraints have not allowed researchers to formally account for…
Descriptors: Mathematics Achievement, Achievement Gap, Educational Research, Regression (Statistics)
Rucinski, Christina L.; Sutton, Essie; Carlton, Richmond; Downer, Jason; Brown, Joshua L. – Applied Developmental Science, 2021
Research has shown that racial/ethnic diversity in elementary schools and classrooms benefits children's academic achievement and feelings of safety and belonging. The current study aimed to expand on existing research by examining associations between classroom racial/ethnic composition and upper elementary children's social-emotional development…
Descriptors: Student Diversity, Elementary School Students, Social Development, Emotional Development
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
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 mathematics achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) mathematics assessment. This study compared mathematics achievement growth of students who used…
Descriptors: Mathematics Achievement, Mathematics Instruction, Program Evaluation, Individualized Instruction
Adelson, Jill L.; Cash, Kathleen M.; Pittard, Caroline M.; Sherretz, Christine E.; Pössel, Patrick; Blackburn, Allison D. – Journal of Advanced Academics, 2019
The Reading and Me Survey (R&MS) measures reading self-perceptions and enjoyment of reading of intermediate elementary students and parallels the Math & Me Survey (M&MS). We examined its psychometric properties through content validation, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability and…
Descriptors: Self Concept, Literature Appreciation, Reading Attitudes, Student Attitudes
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
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
Wang, Feihong; Leary, Kevin A.; Taylor, Lorraine C.; Derosier, Melissa E. – Grantee Submission, 2016
We examined the effects of peer preference and teacher preference for students, students' perceived relationship with their teacher and student ethnicity on peer victimization in late elementary school. Participants were students in the third through fifth grades in four public elementary schools in a southern state. Using hierarchical linear…
Descriptors: Victims, Elementary School Students, Teacher Student Relationship, Peer Relationship
Fahle, 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