Bayesian Item Response Modeling

CoordinatorJean-Paul Fox
Emailg.j.a.fox@utwente.nl
DatesThursday, 29 October 2026
Friday, 30 October 2026
VenueUniversity of Twente
Mandatory/ElectiveElective
ECTS2
Registrationsecretariaat@iops.nl
Registration deadline: 8 October 2026
FeeIOPS-members: free
Abstract(Subject to change)
This two-day course will give an overview of recent developments in Bayesian (item) response modeling. Bayesian statistical theory has shown to be increasingly important in mainstream data analysis. The Bayesian paradigm makes it possible to include (prior) information in addition to the sample to improve statistical decision making. The combined set of information (prior and data information) can be used to make inferences, and as new information is collected, statements can be updated. An essential element is that probability statements are made about the quantities of interest.
ExaminationAttendance and exercises