Course in advanced computer-based applications. Topics include design and conducting Monte Carlo studies, computer adaptive testing, and application of Bayesian methods to education. Students will learn the required steps for conducting a monte Carlo study or a computerized experiment: how to design the study, how to simulate data, and how to evaluate results. Procedures in SAS as well as other programs will be considered. Students will also design and implement a small monte Carlo study. For the computer adaptive testing (CAT) component, students will be introduced to cat and issues related to cat assessments: developing and maintaining item pools, selecting items, estimating ability, and validity of scores from cat assessments. Students will be introduced to the theory of Bayesian methods, application of Bayesian methods in educational measurement and statistics, and software that is available to implement Bayesian methods.
Credits: 3.0