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Bayesian Inference for Experimental and Observational Studies in Education
Consistent with the goals of the Institute of Education Sciences (IES) Statistical and Research Methodology in Education program, the purpose of this project is to develop, apply, and disseminate Bayesian statistical tools for rigorous empirical research in the education sciences.
Education research consists of a common set of designs and analytic strategies, including (a) randomized experimental designs, (b) quasi-experimental/observational designs, and (c) longitudinal studies.
The investigation of Bayesian methods and applications will
provide new and important insights in each of these domains. Three additional benefits will arise from the proposed work.
First, a signature focus of the work will be the comparison of different types of prior information that may be encountered in practical circumstances, including different types of non-informative prior information that reflect a lack of prior knowledge regarding the problem at hand.
Second, we will utilize or develop open source software to carry out the work and make this software readily available to researchers.
Third, the work will provide guidance into 'best practices' in Bayesian statistical modeling for the education sciences.
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