David Kaplan

The purpose of this project is to develop models and methods to demonstrate that international large-scale assessments, in particular PISA, can be used to forecast international trends in literacy and numeracy outcomes.

In education research, long-standing, large-scale educational assessments, such as the National Assessment of Educational Progress (NAEP ), the Programme for International Student Assessment (PISA), and the Early Childhood Longitudinal Program (ECLS), provide historical data that can be used to inform policy-relevant research. However, statistical analyses of current large-scale assessment data may not make use of this historical information, and it may be difficult to do so when applying co...

The purpose of this project was to develop, apply, and disseminate Bayesian statistical tools for designs and analytic strategies used in empirical education research. This included: (1) randomized experimental designs; (2) quasi-experimental/observational designs; and (3) longitudinal studies. In addition, the project compared different types of prior information that may be encountered in practical circumstances, and provided guidance into best practices in Bayesian statistical modeling fo...