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Showing 1 to 15 of 96 results Save | Export
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Shen, Ting; Konstantopoulos, Spyros – Journal of Experimental Education, 2022
Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…
Descriptors: Data Collection, Educational Research, Hierarchical Linear Modeling, Bayesian Statistics
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Wang, Weimeng; Liao, Manqian; Stapleton, Laura – Educational Psychology Review, 2019
Many national and international educational data collection programs offer researchers opportunities to investigate contextual effects related to student performance. In those programs, schools are often used in the first-stage sampling process and students are randomly drawn from selected schools. However, the "incidental" dependence of…
Descriptors: Educational Research, Context Effect, Sampling, Children
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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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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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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
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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
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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
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Frey, Karin S.; Higheagle Strong, Zoe; Onyewuenyi, Adaurennaya C. – Journal of Educational Psychology, 2017
Theory and research using a social-information processing framework indicate that reward-focused (proactive) aggression has different social consequences than defense-focused (reactive) aggression. Students use norms that identify expected and socially approved behaviors as guides to their own actions. Differences in social-cognitive processing…
Descriptors: Aggression, Behavior Standards, Social Behavior, Beliefs
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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
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Dicke, Theresa; Marsh, Herbert W.; Parker, Philip D.; Pekrun, Reinhard; Guo, Jiesi; Televantou, Ioulia – Journal of Educational Psychology, 2018
School-average achievement is often reported to have positive effects on individual achievement (peer spillover effect). However, it is well established that school-average achievement has negative effects on academic self-concept (big-fish-little-pond effect [BFLPE]) and that academic self-concept and achievement are positively correlated and…
Descriptors: Academic Achievement, Self Concept, Peer Influence, Children
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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
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
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Newton, Xiaoxia A.; Rivero, Rosario; Fuller, Bruce; Dauter, Luke – Teachers College Record, 2018
Background/Context: Studies that compare the achievement benefits of charter public schools versus traditional public schools (TPSs) yield quite uneven results. The quality and long-term commitment of teachers represent related mediators that may help to explain effective and ineffective charter schools. Early findings on the comparative rates of…
Descriptors: Faculty Mobility, Labor Turnover, Charter Schools, Magnet Schools
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Tymms, Peter; Merrell, Christine; Bailey, Katharine – School Effectiveness and School Improvement, 2018
This paper investigates the impact of effective schooling in the 1st year of elementary school on later academic outcomes and equal educational opportunity. A large longitudinal dataset from England was used to estimate the importance of the 1st year of elementary school for academic outcomes up to age 16. Multilevel models, controlling for…
Descriptors: Instructional Effectiveness, Elementary Education, Academic Achievement, Secondary Education
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Smith, Lindsey J. Wolff; Beretvas, S. Natasha – Journal of Experimental Education, 2017
Conventional multilevel modeling works well with purely hierarchical data; however, pure hierarchies rarely exist in real datasets. Applied researchers employ ad hoc procedures to create purely hierarchical data. For example, applied educational researchers either delete mobile participants' data from the analysis or identify the student only with…
Descriptors: Student Mobility, Academic Achievement, Simulation, Influences
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