NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers1
Showing 1 to 15 of 112 results Save | Export
Hurst, Lucas T. – ProQuest LLC, 2022
Rambo-Hernandez and McCoach's analysis into the longitudinal growth of high-achieving students offered two conclusions about the reading growth of high achieving students: high-achieving students lose less ground in reading during the summer, but they exhibit less growth over the school year. This study will seek to replicate the reading results…
Descriptors: Reading Achievement, Mathematics Achievement, Growth Models, High Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Xu, Jianzhong; Corno, Lyn – Metacognition and Learning, 2022
Informed by two theoretical models of homework effects, we extended a model of homework on mathematics achievement in a large sample of Chinese eighth graders. Our model incorporated six clusters of homework variables -- student background factors, homework characteristics, teacher variables, parent variables, student motivation, and homework…
Descriptors: Models, Homework, Hierarchical Linear Modeling, Foreign Countries
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
Peer reviewed Peer reviewed
Direct linkDirect link
Salloum, Serena J. – American Journal of Education, 2022
Purpose: Collective efficacy (CE)--a group's belief in its capabilities to organize and execute courses of action required to reach a goal--is an important organizational property because it facilitates goal attainment. The purpose of this sequential explanatory mixed-methods study was: (1) to affirm the link between CE and student achievement;…
Descriptors: Self Efficacy, Social Environment, Influences, Academic Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hong, Yihua; Hong, Guanglei – AERA Open, 2021
This study is focused on the threat of retention associated with test-based promotion in Grade 3. Through analyzing the Early Childhood Longitudinal Study Kindergarten Class of 1998-1999 data, we found that schools having such a policy apparently increased math instructional time but not reading instructional time in Grade 3. On average, the…
Descriptors: Student Promotion, Tests, Time on Task, Grade 3
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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)
Peer reviewed Peer reviewed
Direct linkDirect link
Stack, Kristen F.; Dever, Bridget V. – School Psychology, 2021
Student motivation predicts academic achievement, engagement, and related academic behaviors. Yet in spite of the importance of motivation for academic success, few studies have examined the school and national-level contextual characteristics associated with motivation. The present study uses hierarchical linear modeling to analyze a large…
Descriptors: Grade 8, Student Motivation, Mathematics Achievement, Institutional Characteristics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
Schmid, Christine; Trendtel, Matthias; Bruneforth, Michael; Hartig, Johannes – School Effectiveness and School Improvement, 2020
In 2005, the Austrian government committed all schools to develop school policies supporting the learning of their students. One purpose of the paper is to seek evidence for the effectiveness of this governmental action. A second purpose is to suggest a special kind of multilevel model which can be applied to longitudinal data at the school level…
Descriptors: Foreign Countries, Elementary Schools, Government School Relationship, Educational Improvement
Peer reviewed Peer reviewed
Direct linkDirect link
Stäbler, Franziska; Dumont, Hanna; Becker, Michael; Baumert, Jürgen – Journal of Educational Psychology, 2017
Empirical studies have demonstrated that students who are taught in a group of students with higher average achievement benefit in terms of their achievement. However, there is also evidence showing that being surrounded by high-achieving students has a negative effect on students' academic self-concept, also known as the big-fish--little-pond…
Descriptors: Academic Achievement, Self Concept, Classroom Environment, High Achievement
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Gifted Child Quarterly, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Poverty, Talent Identification, Low Income Students
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8