For an assessment to be an acceptable measure of student learning, it must be a valid and reliable and contain high quality test items. But how can you determine if your assessment makes the grade? Psychometric and item analysis data are often provided and allow for a post-hoc analysis of an assessment and yet few of us have formal training on how to interpret these data. This web seminar will review the types of statistics that are generally provided, how these numbers are derived and the ways in which they can be interpreted. Participants will learn about some general guidelines used in determining the quality of test items as well as hear about some of the exceptions to those rules.
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Dr. Veronica Michaelsen holds an M.D. from the University Of Iowa College Of Medicine as well as an M.Ed. in Instructional Design and a Ph.D. in Education Research, Statistics and Evaluation both from the University Of Virginia. She served as an Assistant Professor of Research in Medical Education at the University Of Virginia for seven years before transitioning to Director of Curriculum Design and Development. In 2012, she took on her current role as Assistant Dean of Evaluation at the George Washington University School of Medicine and Health Sciences where she oversees program evaluation for the MD program. Her research interests include diffusion of innovations in an educational setting and student assessment as a program outcome. The former led her to conduct her dissertation work on the stages of concern of faculty during a curricular change while the latter has resulted in involvement in the clinical skills testing program at the University of Virginia and the implementation of computer based testing at GWUSMHS.