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Peralta, Yadira; Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Moore, Tamara J. – Educational Research Quarterly, 2018
Variance heterogeneity is a common feature of educational data when treatment differences expressed through means are present, and often reflects a treatment by subject interaction with respect to an outcome variable. Identifying variables that account for this interaction can enhance understanding of whom a treatment does and does not benefit in…
Descriptors: Educational Research, Hierarchical Linear Modeling, Engineering, Design
Zhang, Jizhi; Li, Mengyi; Yee, Darrick; Park, Bitnara Jasmine; Bohrnstedt, George; Broer, Markus – American Institutes for Research, 2020
This study aims to understand the role that reading motivation plays in middle school reading achievement (including achievement gaps) by analyzing the 2015 grade 8 NAEP reading data. The study focuses on identifying the unique effects of student-level reading motivation and aggregated school-level mean reading motivation on reading achievement.…
Descriptors: Reading Motivation, Reading Achievement, Achievement Gap, Reading Tests
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Adelson, Jill L.; Dickinson, Emily R.; Cunningham, Brittany C. – Educational Researcher, 2016
This brief examined the patterns of reading achievement using statewide data from all students (Grades 3-10) in multiple years to examine gaps based on student, school, and district characteristics. Results indicate reading achievement varied most between students within schools and that students' prior achievement was the strongest predictor of…
Descriptors: Reading Achievement, Achievement Gap, School Districts, Institutional Characteristics
Stevens, Joseph J.; Schulte, Ann C. – Journal of Learning Disabilities, 2017
This study examined mathematics achievement growth of students without disabilities (SWoD) and students with learning disabilities (LD) and tested whether growth and LD status interacted with student demographic characteristics. Growth was estimated in a statewide sample of 79,554 students over Grades 3 to 7. The LD group was significantly lower…
Descriptors: Learning Disabilities, Mathematics Instruction, Student Characteristics, Mathematics Achievement
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Singh, Malkeet – Journal of Educational Research, 2015
Closing the achievement gap in public education is a worthy goal that has been included as a top priority in the No Child Left Behind Act of 2001 (2002). This study analyzed the most salient predictors at the student and school levels to identify their long-term impact on mathematics achievement from the elementary grades to high school. The…
Descriptors: Socioeconomic Influences, Achievement Gap, Public Education, Mathematics Achievement
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Han, Sunyoung; Capraro, Robert; Capraro, Mary Margaret – International Journal of Science and Mathematics Education, 2015
The purpose of this study was to investigate whether participating in science, technology, engineering, and mathematics (STEM) project-based learning (PBL) activities effected students who had varied performance levels and to what extent students' individual factors influenced their mathematics achievement. STEM PBL has been a critical challenge…
Descriptors: STEM Education, Active Learning, Student Projects, Student Characteristics
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Woolf, Katherine; McManus, I. Chris; Potts, Henry W. W.; Dacre, Jane – British Journal of Educational Psychology, 2013
Background: UK-trained medical students and doctors from minority ethnic groups underperform academically. It is unclear why this problem exists, which makes it dif?cult to know how to address it. Aim: To investigate whether demographic and psychological factors mediate the relationship between ethnicity and ?nal examination scores. Sample: Two…
Descriptors: Foreign Countries, Medical Students, Cohort Analysis, Medical Schools
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Strand, Steve – Review of Education, 2016
Relatively little research has explored whether schools differ in their effectiveness for different group of pupils (e.g. by ethnicity, poverty or gender), for different curriculum subjects (e.g. English, mathematics or science) or over time (different cohorts). This paper uses multilevel modelling to analyse the national test results at age 7 and…
Descriptors: School Effectiveness, Hierarchical Linear Modeling, Children, Elementary School Students