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Paul Thompson; Kaydee Owen; Richard P. Hastings – International Journal of Research & Method in Education, 2024
Traditionally, cluster randomized controlled trials are analyzed with the average intervention effect of interest. However, in populations that contain higher degrees of heterogeneity or variation may differ across different values of a covariate, which may not be optimal. Within education and social science contexts, exploring the variation in…
Descriptors: Randomized Controlled Trials, Intervention, Mathematics Education, Mathematics Skills
Rebecca Slotkin; Karen L. Bierman; Linda N. Jacobson – International Journal of Behavioral Development, 2023
Developmental research suggests that peer rejection has negative spillover effects which strain parent-child relationships and parent attitudes toward the child's school. This study tested whether a school-based social skill training program could reverse these effects and improve parent-child closeness and parent attitudes toward the school.…
Descriptors: Interpersonal Competence, Parent Child Relationship, Parent Attitudes, Skill Development
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Shu-Hao Wu; Morris Siu-Yung Jong; Chin-Chung Tsai – Education and Information Technologies, 2025
Spherical video-based virtual reality (SVVR) offers teachers an accessible means to use virtual reality. However, research into the effects of learning materials in teacher-developed SVVR activities on student learning remains limited. This study recruited 33 elementary school teachers and the 841 students in their classes. This study classified…
Descriptors: Learner Engagement, Hierarchical Linear Modeling, Computer Simulation, Technology Uses in Education
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
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Antonio A. Morgan-López; Lissette M. Saavedra; Heather L. McDaniel; Stephen G. West; Nicholas S. Ialongo; Catherine P. Bradshaw; Alexandra T. Tonigan; Barrett W. Montgomery; Nicole P. Powell; Lixin Qu; Anna C. Yaros; John E. Lochman – Grantee Submission, 2024
Coping Power (CP) is a preventive intervention that focuses on reducing child externalizing problems. Although it is typically delivered in a group format (GCP), individually-delivered CP (ICP) has produced greater mean reductions in externalizing problems. However, standard analysis of randomized trials loses individual-level information…
Descriptors: Coping, Prevention, Intervention, Child Behavior
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Hirakawa, Yukiko; Taniguchi, Kyoko – Asia Pacific Journal of Education, 2021
Reducing dropout rates is a major issue in Cambodia. This study examined the effects of school-level and student-level factors on dropout in rural Cambodian primary schools. We collected data of the same students over 3 years by visiting the same school. We used questionnaires for students and parents, checklists of school facilities, checklists…
Descriptors: Dropouts, Elementary School Students, Rural Areas, Foreign Countries
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Reddy, Linda A.; Lekwa, Adam; Dudek, Christopher; Kettler, Ryan; Hua, Anh – Journal of Psychoeducational Assessment, 2020
This investigation examined whether teacher practices, as measured by the Classroom Strategies Assessment System (CSAS), were associated with students' proficiency and gain scores, as measured by the Measure of Academic Progress (MAP), in 13 high-poverty charter schools in New Jersey. Results from two-level hierarchical linear models, fitted to a…
Descriptors: Academic Achievement, Poverty, Classroom Techniques, Charter Schools
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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
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
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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
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García-Jiménez, Jesús; Torres-Gordillo, Juan-Jesús; Rodríguez-Santero, Javier – Education Sciences, 2022
School effectiveness is a topic of interest addressed by numerous research projects focused on clarifying which variables contribute to the explanation of educational performance. This research aims to find out to what extent social, cultural, and academic variables at the student and school levels, as perceived by families, influence performance,…
Descriptors: School Effectiveness, Predictor Variables, Identification, Hierarchical Linear Modeling
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Park, Sunyoung; Natasha Beretvas, S. – Journal of Experimental Education, 2021
When selecting a multilevel model to fit to a dataset, it is important to choose both a model that best matches characteristics of the data's structure, but also to include the appropriate fixed and random effects parameters. For example, when researchers analyze clustered data (e.g., students nested within schools), the multilevel model can be…
Descriptors: Hierarchical Linear Modeling, Statistical Significance, Multivariate Analysis, Monte Carlo Methods
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Pongsophon, Pongprapan – Science Education International, 2023
This study examined the factors that determined the science achievement of fourth-grade students on the Trends in International Mathematics and Science Study (TIMSS) 2019 in the USA. The data were retrieved from the TIMSS international database and imported to the R program for manipulation. The EdSurvey package was used to conduct multilevel…
Descriptors: Hierarchical Linear Modeling, Predictor Variables, Science Achievement, Elementary School Students
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Gosse, Claire; Carbonnelle, Simon; de Vleeschouwer, Christophe; Van Reybroeck, Marie – Reading and Writing: An Interdisciplinary Journal, 2018
Research about the development of the graphomotor side of writing is very scarce. The goal of this study was to gain a better understanding of what constitutes graphic complexity of written material by determining the impact of graphic characteristics on handwriting production. In this end, the pen stroke of cursive handwriting was precisely…
Descriptors: Handwriting, Grade 2, Elementary School Students, Difficulty Level
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Leroux, Audrey J. – Journal of Experimental Education, 2019
This study proposes a new model, termed the multiple membership piecewise growth model (MM-PGM), to handle individual mobility across clusters frequently encountered in longitudinal studies, especially in educational research wherein some students could attend multiple schools during the course of the study. A real data set containing some…
Descriptors: Student Mobility, Longitudinal Studies, Hierarchical Linear Modeling, Grade 1
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