Foundations of Item Response Theory
Instructor: Wes Bonifay
Software: R
Lectures: 7 hours
Software Demonstrations: 1.5 hours
Evergreen Content: Continually updated
Lifetime Access: Materials never expire
Professional: $459
Student: $349
Savings Opportunity: Get more content and save up to $250 with our Measurement Bundle
Foundations of Item Response Theory introduces the fundamental concepts, principles, and methods of item response theory (IRT), with an emphasis on IRT models for dichotomous response data. IRT is a comprehensive psychological and educational measurement framework that allows researchers and practitioners to gain a sophisticated understanding of the psychometric properties of test items. While more traditional measurement methods focus primarily on aggregate, test-level statistics, IRT models focus on the items, estimating specific parameters that quantify item characteristics like difficulty and discrimination, and response behaviors like guessing and slipping. Participants in this workshop will learn the theory, specification, estimation, interpretation, visualization, and application of several foundational IRT models.
Note: Get lifetime access to both this class and Exploratory and Confirmatory Factor Analysis at a significant savings of $250 off the professional rate (or $200 off the student rate) relative to the total cost when purchased separately through our Measurement Bundle. This gives you a total of 20 hours of lectures plus many more hours of software demonstrations.
2:04 Class Content / 6:02 Materials Provided / 9:07 Learning Objectives
Instructor
Wes Bonifay, Ph.D.
Wes Bonifay is an Associate Professor in the Statistics, Measurement, and Evaluation in Education program at the University of Missouri and the Director of Measurement at the Missouri Prevention Science Institute. He received his PhD in Quantitative Psychology from UCLA. His research, which has been awarded funding from the Institute of Education Sciences, focuses primarily on developing and refining methods of statistical model evaluation, with an emphasis on item response theory, factor analysis, and other latent variable measurement models.... Read More
Workshop Details
Reviews
This was an outstanding class with an exceptional instructor. I have taken multiple statistics courses at the graduate level and this was my absolute favorite.
Dr. Bonifay knows the content of this complex topic inside and out, and he breaks it down into layperson terms such that even a non-math person can understand it; as such, he is very effective at teaching.
His ability to translate this complicated stuff into terms so many will understand is commendable.
Overall, the class was exceptionally delivered both in presentations + R usage examples.
An outstanding learning experience and one that I will be thankful for in the years to come.
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