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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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Abdulla Alabbasi, Ahmed M.; Tadik, Harun; Acar, Selcuk; Runco, Mark A. – Creativity Research Journal, 2021
This meta-analysis examined the association of birth order and divergent thinking (DT). The main purpose was to examine how ordinal position (only, first, middle, or last-born) is related to creativity. The results from 27 studies (k= 222; N = 4,690) were analyzed using a multilevel approach. Because some previous studies compared first- vs.…
Descriptors: Birth Order, Creative Thinking, Meta Analysis, Creativity
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
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
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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
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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
Wang, Jia; Schweig, Jonathan D.; Herman, Joan L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
Magnet schools are one of the largest sectors of choice schools in the United States. In this study, we explored whether there is heterogeneity in magnet school effects on student achievement by examining the effectiveness of 24 recently funded magnet schools in 5 school districts across 4 states. We used a two-step analysis: First, separate…
Descriptors: Meta Analysis, Success, School Effectiveness, Magnet Schools
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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