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Showing 1 to 15 of 35 results Save | Export
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Mariola Moeyaert; Panpan Yang; Yukang Xue – Journal of Experimental Education, 2024
We have entered an era in which scientific evidence increasingly informs research practice and policy. As there is an exponential increase in the use of single-case experimental designs (SCEDs) to evaluate intervention effectiveness, there is accumulating evidence available for quantitative synthesis. Consequently, there is a growing interest in…
Descriptors: Meta Analysis, Research Design, Synthesis, Patients
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Acar, Selcuk; Tadik, Harun; Myers, Danielle; van der Sman, Carian; Uysal, Recep – Journal of Creative Behavior, 2021
Creativity and well-being are popular subjects in psychological and organizational studies. The recent literature presented mixed perspectives about the nature of the relationship between the two. Whereas the mad-genius hypothesis, which was often explored among eminently creative individuals, seems to imply a negative relationship between the…
Descriptors: Creativity, Well Being, Meta Analysis, Predictor Variables
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Hyemin Han; Marja Graham – Theory and Research in Education, 2024
The present study aimed to examine how to improve the effectiveness of moral exemplar-applied interventions based on the pillars of the self-determination theory framework, autonomy, competence, and relatedness. Past research has mainly focused on the relatedness and attainability of moral exemplars for predicting motivation outcomes. The data for…
Descriptors: Moral Values, Self Determination, Intervention, Reliability
Moeyaert, Mariola; Yang, Panpan; Xu, Xinyun; Kim, Esther – Grantee Submission, 2021
Hierarchical linear modeling (HLM) has been recommended as a meta-analytic technique for the quantitative synthesis of single-case experimental design (SCED) studies. The HLM approach is flexible and can model a variety of different SCED data complexities, such as intervention heterogeneity. A major advantage of using HLM is that participant…
Descriptors: Meta Analysis, Case Studies, Research Design, Hierarchical Linear Modeling
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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
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Ashraf, Bilal; Singh, Akansha; Uwimpuhwe, Germaine; Higgins, Steven; Kasim, Adetayo – British Educational Research Journal, 2021
Meta-analysis is the synthesis of findings from research projects, which enables an estimate of the average or pooled effect across various studies. This study presents findings from the intention to treat analysis for a series of educational evaluations in England using a two-stage meta-analysis with standardised outcome data and individual…
Descriptors: Student Characteristics, Meta Analysis, Intervention, Program Effectiveness
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Baek, Eunkyeng; Luo, Wen; Henri, Maria – Journal of Experimental Education, 2022
It is common to include multiple dependent variables (DVs) in single-case experimental design (SCED) meta-analyses. However, statistical issues associated with multiple DVs in the multilevel modeling approach (i.e., possible dependency of error, heterogeneous treatment effects, and heterogeneous error structures) have not been fully investigated.…
Descriptors: Meta Analysis, Hierarchical Linear Modeling, Comparative Analysis, Statistical Inference
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Keller, Lena; Lüdtke, Oliver; Preckel, Franzis; Brunner, Martin – Educational Psychology Review, 2023
Intersectional approaches have become increasingly important for explaining educational inequalities because they help to improve our understanding of how individual experiences are shaped by simultaneous membership in multiple social categories that are associated with interconnected systems of power, privilege, and oppression. For years, there…
Descriptors: Equal Education, Intersectionality, Hierarchical Linear Modeling, Educational Research
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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
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Asaro-Saddler, Kristie; Moeyaert, Mariola; Xu, Xinyun; Yerden, Xiaoyi – Exceptionality, 2021
In this study, we conducted a multilevel meta-analysis to determine whether the self-regulated strategy development (SRSD) approach to teaching writing to students with autism spectrum disorder (ASD) improves significantly the number of words written and overall quality of writing, whether the effects of SRSD were consistent or variable across…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Instructional Effectiveness, Self Control
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Bash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S. – Journal of Mixed Methods Research, 2021
The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Research Design, Statistical 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
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Pauls, Laura J.; Archibald, Lisa M. D. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Mounting evidence demonstrates deficits in children with specific language impairment (SLI) beyond the linguistic domain. Using meta-analysis, this study examined differences in children with and without SLI on tasks measuring inhibition and cognitive flexibility. Method: Databases were searched for articles comparing children (4-14…
Descriptors: Children, Executive Function, Language Impairments, Meta Analysis
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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
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Berkovich, Izhak; Eyal, Ori – Educational Management Administration & Leadership, 2017
Research on school principals' behaviours that affect teachers' emotional states is limited. Currently, the focus is primarily on extreme manifestations of mistreatment and emotional abuse; normative daily behaviours, such as emotionally manipulative ones, have yet to be explored. The purpose of the present study is to investigate primary school…
Descriptors: Principals, Administrator Behavior, Elementary Schools, Teacher Administrator Relationship
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