This course introduces Item Response Theory (IRT) applied to both dichotomous (two-outcome) data and polytomous (multiple outcome) data. IRT is the statistical basis for analyzing multiple-choice survey or test data for researchers, social scientists, and others who want to create better scales, tests, and questionnaires. You will explore key foundational concepts of traits, items, and scales and scores, before moving on to learn how to measure and model response data.
Dr. Karen Schmidt
Dr. Karen Schmidt is an Associate Professor in Psychology at The University of Virginia, Charlottesville, VA. Dr. Schmidt has been a professor for 17 years, and teaches courses in statistics, research methods, and item response theory (IRT) and Rasch measurement at the undergraduate and graduate level. Dr. Schmidt specializes in psychometrics, with specific focus on Rasch measurement and item response theory (IRT). Her research and interests include scale and test design and analysis, item features experimental design and analysis, and trait measurement in a wide variety of areas, including psychological, educational, health, and medical sciences.