ASA Council of Chapters Traveling Course


“An Introduction to Item Response Theory”

Dr. Brian Leventhal — James Madison University, Center for Assessment Research Studies


September 10, 2021, 9:00am-5:00pm, online via Zoom (link will be provided)

The Department of Statistics and Data Science at UCF will host a half-day data science workshop online on September 10th via Zoom. This workshop is supported through the American Statistical Association (ASA) and the Florida Chapter of the ASA.


Course Overview:

Item response theory is a class of models that describes the interaction between persons and questions on a test or survey. These models are used to relate behavior to constructs with applications in test development, item banking, equating, computer adaptive testing, and behavioral and psychological measurement. This course will cover the basic tenets and concepts and polytomous models. The instructor will deliver content using a mix of lecture, discussion, engaging interactive examples, and meta cognition check with formative and summative feedback. The course assumes basic terminology such as parameter vs statistic but will be taught at an introductory level. Some familiarity with concepts of basic calculus, logistic regression, and maximum likelihood estimation may be helpful, but are not required.


Course Topics — Full Agenda Now Available!
  • Morning:
    • Introduction to Measurement, History, and Test theories
    • Introduction to Item Response Theory (IRT)
    • IRT: Dichotomous Models
  • Afternoon:
    • Test and Item Information
    • IRT: Polytomous Models
    • Introduction to Multidimensional IRT (if time allows)
Instructor: Brian Leventhal, James Madison University

Dr. Brian Leventhal is an assistant professor in the assessment and Measurement PhD program at James Madison University and a consultant in the Center for Assessment Research Studies. He earned his PhD in Research Methodology, Measurement, and Statistics after completing a Master’s in Applied Statistics from the University of Pittsburgh. His research focuses on item response theory psychometric methods. He teaches courses using item response theory techniques, classical test theory, generalizability theory and inferential statistics, both univariate and multivariate.


Registration Pricing:


Early (by 08/31)

 Regular (between 09/1 and 09/09)




Post Doc






($8 discount for Postdoc, Faculty/Staff if you are a Chapter Member)


Register Now


Contact Information:

For questions about this event, please contact Jongik Chung at