Courses
Academic Writing in Quantitative Psychology A graduate-level course on academic writing, specializing the field of quantitative psychology, psychometrics, and educational statistics. The content of the course includes identifying novel and meaningful research topics, formatting manuscripts, writing literature review, research methods in quantitative methodology, creating statistical graphics and tables, writing and responding to peer-review comments, and academic presentation.
EDMS 623: Applied Measurement: Issues and Practices A graduate-level course on classical and modern test theory. Topics include reliability and validity of test scores, generalizability theory, factor analysis, and item response theory.
EDMS 646: General Linear Model I A graduate-level course on linear models. Topics include simple and multiple linear regression, analysis of variance/covariance (ANOVA/ANCOVA), and power analysis.
EDMS 651: General Linear Model II A follow-up course of EDMS 646. Topics include generalized linear models, nonlinear and nonparametric regression, and related estimation methods.
EDMS 724: Modern Measurement Theory A graduate-level course on item response theory (IRT). Topics include standard IRT models for dichotomous and polytomous data, parameter estimation, model fit assessment, and applications.
EDMS 787: Bayesian Inference and Analysis A graduate-level course on Bayesian statistics. Topics include the statistical theory of Bayesian inference, Monte Carlo methods, model evaluation, and applications.
EDMS 738R: Diagnostics for Item Response Models An advanced seminar course on model evaluation and assessment for IRT models. Two basic techniques---Monte Carlo method and asymptotic theory---are introduced and applied to develop formal tests of model assumptions.