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Demirtas-Zorbaz, Selen; Akin-Arikan, Cigdem; Terzi, Ragip – School Effectiveness and School Improvement, 2021
School climate is one of the variables that affect academic achievement, but the level of correlation between school climate and academic achievement differs. On the basis of these inconsistent results between school climate and academic achievement, researchers can use meta-analyses to shed light on relevant literature. The present study ran a…
Descriptors: Educational Environment, Student Attitudes, Academic Achievement, Hierarchical Linear Modeling
Denson, Nida; Bowman, Nicholas A.; Ovenden, Georgia; Culver, K. C.; Holmes, Joshua M. – Journal of Diversity in Higher Education, 2021
Colleges and universities play a critical role in shaping intergroup dynamics in an era of increasing racial tensions in the United States. Diversity courses may serve as one important approach for preparing college students for participation in an equitable and just society, since this coursework holds a unique position at many institutions to…
Descriptors: Diversity, Courses, Outcomes of Education, Meta Analysis
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
Joo, Seang-hwane; Wang, Yan; Ferron, John M. – AERA Online Paper Repository, 2017
Multiple-baseline studies provide meta-analysts the opportunity to compute effect sizes based on either within-series comparisons of treatment phase to baseline phase observations, or time specific between-series comparisons of observations from those that have started treatment to observations of those that are still in baseline. The advantage of…
Descriptors: Meta Analysis, Effect Size, Hierarchical Linear Modeling, Computation
McNeish, Daniel M.; Stapleton, Laura M. – Educational Psychology Review, 2016
Multilevel models are an increasingly popular method to analyze data that originate from a clustered or hierarchical structure. To effectively utilize multilevel models, one must have an adequately large number of clusters; otherwise, some model parameters will be estimated with bias. The goals for this paper are to (1) raise awareness of the…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Sample Size, Effect Size
Bowne, Jocelyn Bonnes; Magnuson, Katherine A.; Schindler, Holly S.; Duncan, Greg J.; Yoshikawa, Hirokazu – Educational Evaluation and Policy Analysis, 2017
This study uses data from a comprehensive database of U.S. early childhood education program evaluations published between 1960 and 2007 to evaluate the relationship between class size, child-teacher ratio, and program effect sizes for cognitive, achievement, and socioemotional outcomes. Both class size and child-teacher ratio showed nonlinear…
Descriptors: Meta Analysis, Class Size, Early Childhood Education, Teacher Student Ratio
Pyle, Kellina K.; Fabiano, Gregory A. – Grantee Submission, 2017
The Daily Report Card (DRC) is a commonly employed behavioral intervention for treating Attention Deficit Hyperactivity Disorder (ADHD) in schools. Much of the support for the DRC comes from single-case studies, which have traditionally received less attention than group studies. This lack of attention to single-case studies results in an…
Descriptors: Attention Deficit Hyperactivity Disorder, Case Studies, Goal Orientation, Student Behavior
Gage, Nicholas A.; Lewis, Timothy J. – Journal of Special Education, 2014
The identification of evidence-based practices continues to provoke issues of disagreement across multiple fields. One area of contention is the role of single-subject design (SSD) research in providing scientific evidence. The debate about SSD's utility centers on three issues: sample size, effect size, and serial dependence. One potential…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Sample Size
Polanin, Joshua R.; Wilson, Sandra Jo – Society for Research on Educational Effectiveness, 2014
The purpose of this project is to demonstrate the practical methods developed to utilize a dataset consisting of both multivariate and multilevel effect size data. The context for this project is a large-scale meta-analytic review of the predictors of academic achievement. This project is guided by three primary research questions: (1) How do we…
Descriptors: Meta Analysis, Correlation, Case Studies, Parent Participation
Flower, Andrea; McKenna, John W.; Bunuan, Rommel L.; Muething, Colin S.; Vega, Ramon, Jr. – Review of Educational Research, 2014
Challenging behavior at school remains a concern for teachers and administrators. Thus classroom management practices to prevent challenging behavior are sorely needed. The Good Behavior Game (GBG) has been found to be useful to positively change student behavior. However, previous reviews of the GBG have not quantified effects, have not focused…
Descriptors: Behavior Problems, Classroom Techniques, Behavior Modification, Student Behavior
D'Mello, Sidney – Journal of Educational Psychology, 2013
The last decade has witnessed considerable interest in the investigation of the affective dimensions of learning and in the development of advanced learning technologies that automatically detect and respond to student affect. Identifying the affective states that students experience in technology-enhanced learning contexts is a fundamental…
Descriptors: Meta Analysis, Incidence, Psychological Patterns, Technology Uses in Education
Wang, Shin-Yi; Parrila, Rauno; Cui, Ying – Journal of Autism and Developmental Disorders, 2013
This meta-analysis used hierarchical linear modeling to examine 115 single-case studies with 343 participants that examined the effectiveness of social skills interventions for individuals with autism spectrum disorder (ASD). The average effect size of the included studies was 1.40 (SD = 0.43, 95% CL = 1.32-1.48, N = 115). In the further, several…
Descriptors: Meta Analysis, Hierarchical Linear Modeling, Case Studies, Pervasive Developmental Disorders