The program combines training with research experiences gained from participation in research projects. In measurement and evaluation, specific areas of study include measurement theory, rasch measurement, item response theory, true score theory, generalizability theory, test score equating, standard setting, instrument design and program evaluation. In Statistics, areas of study includes statistical theory, hierarchical linear modeling, nonparametric modeling, regression analysis, multivariate analysis, structural equation modeling, factor analysis, causal analysis, categorical data analysis, research synthesis and meta-analysis, exploratory data analysis, model estimation, model goodness-of-fit analysis, model selection, robust analysis, missing-data analysis, and research methods. In assessment, study areas include qualitative methods, testing for licensure and certification, computer adaptive testing, large-scale testing and classroom-based assessment.
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