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Eddy, Colleen L.; Huang, Francis L.; Cohen, Daniel R.; Baker, Kirsten M.; Edwards, Krista D.; Herman, Keith C.; Reinke, Wendy M. – School Psychology Review, 2020
Teacher emotional factors influence the classroom environment. The purpose of the study was to examine the association of teacher emotional exhaustion and teacher efficacy with student office discipline referrals (ODRs), in-school suspensions (ISSs), and out-of-school suspensions (OSSs) using multilevel logistic regression models. The sample…
Descriptors: Psychological Patterns, Fatigue (Biology), Self Efficacy, Predictor Variables
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Bowman, Nicholas A.; Jarratt, Lindsay; Culver, K. C.; Segre, Alberto M. – Journal of Research on Educational Effectiveness, 2020
Pair programming is a form of collaborative learning in computer science that involves two students working together on a coding project. Previous research has identified mostly positive outcomes from this practice, such as course grades and the quality of the resulting code. Pair programming may also facilitate interactions that improve the…
Descriptors: Cooperative Learning, Programming, Computer Science, Academic Persistence
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Konold, Timothy; Sanders, Elizabeth A. – Measurement: Interdisciplinary Research and Perspectives, 2020
Measuring and understanding the nature of informant/rater effects and differences (Level 1) on a common trait when the target of measurement is at the organizational level (Level 2) involves a number of methodological considerations. Although previous research has discussed single-level latent variable applications of the correlated…
Descriptors: Hierarchical Linear Modeling, Multitrait Multimethod Techniques, Measurement, Models
Larson, Kristine E.; Pas, Elise T.; Bottiani, Jessika H.; Kush, Joseph; Bradshaw, Catherine P. – Grantee Submission, 2020
Student engagement is a multidimensional construct influenced by complex student, classroom, and school factors. Although prior research has examined various dimensions of student engagement, few studies have adopted a multilevel approach to simultaneously incorporate observational measures of classroom practices with student and school factors.…
Descriptors: Hierarchical Linear Modeling, Learner Engagement, Classroom Techniques, Student Characteristics
Moeyaert, Mariola – Behavioral Disorders, 2019
Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…
Descriptors: Meta Analysis, Evidence, Correlation, Predictor Variables
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Du, Jianxia; Fan, Xitao; Xu, Jianzhong; Wang, Chuang; Sun, Li; Liu, Fangtong – Educational Technology Research and Development, 2019
This study examines factors related to student self-efficacy beliefs in on-line groupwork. Participants in this study were 204 graduate students taking an online graduate-level course from a public university in the Southeast United States of America. Two-level hierarchical linear models were used to examine predictors of the students'…
Descriptors: Predictor Variables, Self Efficacy, Electronic Learning, Online Courses
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Cockpim, Julasak; Somprach, Kanokorn – Turkish Online Journal of Educational Technology - TOJET, 2019
The main aim of this research was to investigate the effects of learning leadership of school administrators and teachers' teaching behavior toward teacher professional development. A total of 412 samples consisting of 103 school administrators and 309 teachers participated as respondents. Researchers utilized a quantitative survey design with a…
Descriptors: Leadership Training, Administrators, Teacher Behavior, Teacher Effectiveness
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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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Sean Demack – Education Endowment Foundation, 2019
Cluster Randomized Trial (CRT) designs are inherently multilevel and reflect the hierarchical structure of schools and the wider education system. To capture this multilevel nature, CRTs are commonly analysed using multilevel (or hierarchical) linear models. It is fairly common for CRT designs and analyses to include school and individual/pupil…
Descriptors: Educational Research, Randomized Controlled Trials, Research Design, Hierarchical Linear Modeling
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Zhao, Hong; Hodges, James S.; Carlin, Bradley P. – Research Synthesis Methods, 2017
Network meta-analysis (NMA) combines direct and indirect evidence comparing more than 2 treatments. Inconsistency arises when these 2 information sources differ. Previous work focuses on inconsistency detection, but little has been done on how to proceed after identifying inconsistency. The key issue is whether inconsistency changes an NMA's…
Descriptors: Meta Analysis, Networks, Hierarchical Linear Modeling, Bayesian Statistics
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Kelcey, Ben; Dong, Nianbo; Spybrook, Jessaca – Society for Research on Educational Effectiveness, 2017
The purpose of this study is to disseminate the results of recent advances in statistical power analyses with regard to multilevel mediation and its implementation in the PowerUp!-Mediator software. The authors first focus on the conceptual and statistical differences among common asymptotic, component-wise, and resampling-based tests of mediation…
Descriptors: Computer Software, Research Design, Statistical Analysis, Hierarchical Linear Modeling
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Chen, Fu; Sakyi, Alfred; Cui, Ying – Educational Psychology, 2021
Based upon the ecological perspective and the social cognitive theory, this study examined the role of reading self-efficacy in the associations of contextual factors with reading achievement by establishing an educational ecology of reading. The model included student factors, student/home factors, student/school factors, and school factors of…
Descriptors: Student Characteristics, Institutional Characteristics, Family Characteristics, Reading Achievement
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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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Wilson-Daily, Ann E.; Kemmelmeier, Markus – Youth & Society, 2021
Focusing on youth attitudes during a time of political upheaval in Catalonia, we study 1,438 high school students, aged 15 to 16, nested within 30 high schools. Using multilevel analyses, we examine their perceptions of the importance of voting across different election types (independence referendum, local, subnational, national, supernational)…
Descriptors: Foreign Countries, Voting, Citizen Participation, High School Students
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DeLuca, Thomas A. – Journal of Education Finance, 2018
Educational institutions operate within multiple hierarchical levels with each level typically influencing policies or outcomes at other levels within the hierarchy. For example, decisions made at the state level may influence decisions at the local education agency (LEA) level which may influence decisions at the school building level (as well in…
Descriptors: Educational Finance, Expenditures, Expenditure per Student, Resource Allocation
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