Item Response Models Using Stata

Chuck Huber, PhD with StataCorp presents on conducting statistical analyses using Bayesian Item Response Theory (IRT) during the USC Interdisciplinary Speaker Series. Chuck Huber is a Senior Statistician at StataCorp and Adjunct Associate Professor of Biostatistics at Texas A&M. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by psychologists and other behavioral scientists. Dr. Huber currently teaches introductory biostatistics and previously taught introductory biostatistics, categorical data analysis and statistical genetics at Texas A&M. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition and birth defects.