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Dong, Nianbo – American Journal of Evaluation, 2015
Researchers have become increasingly interested in programs' main and interaction effects of two variables (A and B, e.g., two treatment variables or one treatment variable and one moderator) on outcomes. A challenge for estimating main and interaction effects is to eliminate selection bias across A-by-B groups. I introduce Rubin's causal model to…
Descriptors: Probability, Statistical Analysis, Research Design, Causal Models
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Gottfried, Michael A. – Teachers College Record, 2014
Background/Context: Researchers, policymakers, and practitioners undoubtedly concur that missing school deteriorates student outcomes. And yet, in evaluating the deleterious effects of missing in-school time, empirical research has almost exclusively focused on absences, and the scant amount of empirical literature on tardiness has focused on…
Descriptors: Longitudinal Studies, Attendance Patterns, Kindergarten, Young Children
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Gottfried, Michael A. – Elementary School Journal, 2014
Recent federal, state, and district policies that have mainstreamed English language learner (ELL) students into general, English-only elementary school classrooms have raised questions among educational stakeholders about the widespread effects of these policies. Most research has focused on the outcomes of ELL students; almost nothing is known…
Descriptors: Student Diversity, Peer Influence, English Language Learners, Social Development