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Goldhaber, Dan; Wolff, Malcolm; Daly, Timothy – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Testing students and using test information to hold schools and, in some cases, teachers accountable for student achievement has arguably been the primary national strategy for school improvement over the past decade and a half. Tests are also intended to be used as a diagnostic tool to identify individual student needs, so that students can be…
Descriptors: Elementary School Students, Student Evaluation, Testing, Scores
Maria Levlin; Lacey Okonski; Kirk P. H. Sullivan – Scandinavian Journal of Educational Research, 2024
This longitudinal case study examines reading difficulties identified in Grade 2 and Grade 6 national assessment test (NAT) scores in relation to Grade 9 NAT in Swedish (L1) and English (L2). A norm-referenced screening was used in Grade 2 to assess word reading and reading comprehension. In line with the simple view of reading, four subgroups…
Descriptors: Foreign Countries, Educational Attainment, Swedish, English (Second Language)
Chandrasekhar, Aparajita; Xie, Luyu; Mathew, Matthew S.; Fletcher, Julie G.; Craker, Kelsey; Parayil, Megin; Messiah, Sarah E. – Journal of School Health, 2023
Background: Little is known about how school breakfast programs are associated with school attendance and academic performance. This study evaluated Dallas Independent School District's (DISD) breakfast after the bell (BATB) program that provides breakfast for both habitually tardy and non-tardy students on (1) academic performance and (2) student…
Descriptors: Breakfast Programs, Elementary School Students, Middle School Students, High School Students
La Salle, Tamika P. – Center on Positive Behavioral Interventions and Supports, 2020
The purpose of this brief is to provide information about how to evaluate school climate at the primary and secondary levels. Norms and ranges are provided and based on a national data; this data can help schools to contextualize local data. Information for interpreting the data and unit if for data-based decision making is also included.
Descriptors: School Surveys, Educational Environment, Student Surveys, Student Characteristics
Hart, Holly; Young, Christopher; Chen, Alicia; Zou, Andrew; Allensworth, Elaine M. – University of Chicago Consortium on School Research, 2020
The "5Essentials Survey" is one of the few validated instruments to measure school climate. Schools that are strong in at least three of the five essential supports are up to 10 times more likely to experience substantial gains in students' math and reading scores. More than 6,000 schools nationwide have administered the…
Descriptors: Educational Improvement, School Districts, Surveys, Predictive Validity
Reichel, Katherine V. – ProQuest LLC, 2023
New York State public school students in grades 3-8 are required to take the Common Core assessments, now based on Next Generation Learning Standards, in English language arts and mathematics. Students are also required to take English and Algebra Regents exams in high school. Elementary students who often perform on-grade level in the classroom…
Descriptors: High Stakes Tests, Student Evaluation, Elementary School Students, Common Core State Standards
Denning, Jeffrey T.; Murphy, Richard; Weinhardt, Felix – National Bureau of Economic Research, 2020
This paper considers an unavoidable feature of the school environment, class rank. What are the long run effects of a student's ordinal rank in elementary school? Using administrative data from all public school students in Texas, we show that students with a higher third grade academic rank, conditional on achievement and classroom fixed effects,…
Descriptors: Class Rank, Elementary School Students, Public Schools, Academic Achievement
Niileksela, Christopher R.; Templin, Jonathan – Psychology in the Schools, 2019
Confirmatory latent profile analysis (CLPA) was used with the normative sample from the "Kaufman Test of Educational Achievement," 3rd ed. (KTEA-3) to determine whether it was possible to identify a latent class of individuals whose scores were consistent with the academic strengths and weaknesses related to dyslexia. The CLPA identified…
Descriptors: Identification, Dyslexia, Achievement Tests, Profiles
Lewno-Dumdie, Brittany; Hajovsky, Daniel B. – Journal of Psychoeducational Assessment, 2020
The present study examined whether global ability influences on reading, writing, and math achievement are generalizable across gender in children and adolescents in Grades 1 to 4 (n = 1,276), 5 to 8 (n = 1,265), and 9 to 12 (n = 1,042) using multiple group structural equation modeling with the standardization samples for the Woodcock-Johnson IV.…
Descriptors: Gender Differences, Reading Achievement, Writing Achievement, Mathematics Achievement
Hart, Holly; Young, Christopher; Chen, Alicia; Zou, Andrew; Allensworth, Elaine M. – University of Chicago Consortium on School Research, 2020
The "5Essentials Survey" is one of the few validated instruments to measure school climate. Schools that are strong in at least three of the five essential supports are up to 10 times more likely to experience substantial gains in students' math and reading scores. More than 6,000 schools nationwide have administered the…
Descriptors: Educational Improvement, School Districts, Surveys, Accountability
Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
Palacios, Moses; Vignola, Eric; Sarfo, Akisha Osei; Hart, Ray – Council of the Great City Schools, 2021
Great City School districts that have embraced the challenge of educating America's urban children have recognized the value of benchmarking their performance and growth against the progress of others. This report presents a number of different ways that member districts can analyze the data themselves by disaggregating results, showing trends,…
Descriptors: Urban Schools, Educational Indicators, Preschool Education, Enrollment
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