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Full-Text Articles in Education
Improving Measurement And Expanding Meta-Analytic Knowledge: Social And Emotional Learning In Elementary And Early Childhood, Dana M. Murano
Improving Measurement And Expanding Meta-Analytic Knowledge: Social And Emotional Learning In Elementary And Early Childhood, Dana M. Murano
Dissertations, Theses, and Capstone Projects
In the last several decades, the development of student social and emotional skills in educational contexts has received much attention, both domestically and internationally. Whereas previous school-based educational practices had primarily focused on the teaching and testing of cognitive skills, we now recognize that there are constituents of academic success beyond the cognitive skills that are traditionally taught and tested, and the field of social and emotional learning (SEL) has emerged as a result. This two-study dissertation attempted to fill existing gaps in the development of SEL practices by exploring new horizons in both intervention and measurement with preschool and …
Hierarchical Meta-Analysis: A Simulation Study Comparing Classical Random Effects And Fully Bayesian Methods, Nancy R. Andiloro
Hierarchical Meta-Analysis: A Simulation Study Comparing Classical Random Effects And Fully Bayesian Methods, Nancy R. Andiloro
Dissertations, Theses, and Capstone Projects
Meta-analytic data have a natural hierarchical structure to them, where individuals are nested within studies, and have both within-and between-study variation to model. A random-effects hierarchical linear model is useful to conduct a meta-analysis because it allows one to appropriately parse out the two components of variation that exist within and across studies to determine an observed effect. Empirical Bayes estimation considers the reliability of variance estimates; when the reliability of the effect size estimate for a study is high, substantial weight is placed on that estimate. However, problems with estimation arise when the number of studies and their sample …