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Stallasch, Sophie E.; Lüdtke, Oliver; Artelt, Cordula; Brunner, Martin – Journal of Research on Educational Effectiveness, 2021
To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including measures of between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous…
Descriptors: Foreign Countries, Randomized Controlled Trials, Intervention, Educational Research
Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John; Stark, Stephen – Educational and Psychological Measurement, 2019
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Computation, Identification
Robbers, Eric; Donche, Vincent; De Maeyer, Sven; Van Petegem, Peter – Research Papers in Education, 2018
Research shows that learning conceptions are susceptible to change during possible critical transitions in students' school careers: such as the transition from primary to secondary education and the transition from secondary to higher education. This study aims to determine whether students' learning conceptions developed during the four years of…
Descriptors: Elementary School Students, Secondary School Students, Longitudinal Studies, Change
Quesen, Sarah; Lane, Suzanne – Applied Measurement in Education, 2019
This study examined the effect of similar vs. dissimilar proficiency distributions on uniform DIF detection on a statewide eighth grade mathematics assessment. Results from the similar- and dissimilar-ability reference groups with an SWD focal group were compared for four models: logistic regression, hierarchical generalized linear model (HGLM),…
Descriptors: Test Items, Mathematics Tests, Grade 8, Item Response Theory
Newman, Lisa D. – ProQuest LLC, 2017
Since the 1990's, schools across the United States have been held accountable for increased student learning. Increased use of growth-based accountability models and a lack of clarity on what each model measures have resulted in a need for additional research focused on the real-world implications for teacher agency and school accountability. The…
Descriptors: Statistical Analysis, Accountability, Standards, Models
Leckie, George – Journal of Educational and Behavioral Statistics, 2018
The traditional approach to estimating the consistency of school effects across subject areas and the stability of school effects across time is to fit separate value-added multilevel models to each subject or cohort and to correlate the resulting empirical Bayes predictions. We show that this gives biased correlations and these biases cannot be…
Descriptors: Value Added Models, Reliability, Statistical Bias, Computation
Wu, Jason Hsinchieh; Lin, Chunn-Ying – Asia Pacific Education Review, 2018
Research on teacher and school academic optimism has abounded ever since these two constructs were confirmed and shown to have positive effects on student achievement. However, one overlooked research question is the nested association between teacher and school academic optimism. This study intends to fill this gap by using hierarchical linear…
Descriptors: Hierarchical Linear Modeling, Elementary School Students, Elementary School Teachers, Foreign Countries
Yang, Chunyan; Sharkey, Jill D.; Reed, Lauren A.; Chen, Chun; Dowdy, Erin – School Psychology Quarterly, 2018
Bullying is the most common form of school violence and is associated with a range of negative outcomes, including traumatic responses. This study used hierarchical linear modeling to examine the multilevel moderating effects of school climate and school level (i.e., elementary, middle, and high schools) on the association between bullying…
Descriptors: Bullying, Victims, Hierarchical Linear Modeling, Educational Environment
Sebastian, James; Camburn, Eric M.; Spillane, James P. – Educational Administration Quarterly, 2018
Purpose: The purpose of this study was to examine how school principals in urban settings distributed their time working on critical school functions. We also examined who principals worked with and how their time allocation patterns varied by school contextual characteristics. Research Method/Approach: The study was conducted in an urban school…
Descriptors: Principals, Elementary Schools, Urban Schools, Time Management
Alnizami, Reema – ProQuest LLC, 2017
This study examined the math talk and the use of multiple representations in elementary classrooms of 134 beginning teachers, all in their second year of teaching. A quantitative correlational research design was employed to investigate the research questions. The data were collected using a log instrument, the Instructional Practices Log in…
Descriptors: Elementary School Teachers, Elementary School Mathematics, Mathematics Teachers, Mathematics Instruction
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
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Grantee Submission, 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, Disadvantaged Schools, Elementary School Students, Elementary Schools
Sebastian, James; Huang, Haigen; Allensworth, Elaine – School Effectiveness and School Improvement, 2017
Research on school leadership suggests that both principal and teacher leadership are important for school improvement. However, few studies have studied the interaction of principal and teacher leadership as separate but linked systems in how they relate to student outcomes. In this study, we examine how leadership pathways are related in the…
Descriptors: Principals, Teacher Leadership, High Schools, Comparative Analysis
Camburn, Eric M.; Han, Seong Won; Sebastian, James – Educational Policy, 2017
Surveys are frequently used to inform consequential decisions about teachers, policies, and programs. Consequently, it is important to understand the validity of these instruments. This study assesses the validity of measures of instruction captured by an annual survey by comparing survey data with those of a validated daily log. The two…
Descriptors: Validity, Literacy, Teacher Surveys, Institutional Characteristics
Bear, George G.; Yang, Chunyan; Chen, Dandan; He, Xianyou; Xie, Jia-Shu; Huang, Xishan – School Psychology Quarterly, 2018
Objective: The purpose of this study was to examine differences between American and Chinese students in their perceptions of school climate and engagement in school, and in the relation between school climate and engagement. Method: Confirmatory factor analyses were used to support the factor structure and measurement invariance of the two…
Descriptors: Foreign Countries, Comparative Education, Educational Environment, Learner Engagement