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Predictive Performance of Bayesian Stacking in Multilevel Education Data
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Mingya Huang; David Kaplan – Journal of Educational and Behavioral Statistics, 2025
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Statistical Inference, Predictor Variables
Reflections on and Implications of the Programme for International Student Assessment 2015 (PISA 2015) Performance of Students in Taiwan: The Role of Epistemic Beliefs about Science in Scientific Literacy
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She, Hsiao-Ching; Lin, Huann-shyang; Huang, Li-Yu – Journal of Research in Science Teaching, 2019
Abstract The 2015 Programme for International Student Assessment (PISA) has drawn a substantial amount of attention from science educators and educational policymakers because it marked the first time that PISA assessed students' ability to evaluate and design scientific inquiry using computer-based simulations. We undertook a secondary analysis…
Descriptors: Scientific Literacy, Foreign Countries, Science Instruction, Resilience (Psychology)