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Item Response Theory (WK83)
(ONLINE COURSE)

Clinical measurement of latent constructs (e.g. quality of life, pain, depression) often requires use of questionnaires. Measurement of such constructs using questionnaires relies on statistical measurement models. The Item Response Theory (IRT) provides statistical models which link the latent construct score of a patient to the questionnaire responses of the patient. IRT models are the current golden standard in this context, compared to the Classical Test Theory (CTT) model where the latent scores are linked to responses by sum-scores.

Course details

Date:
4, 5, 6, 11, 12, 13 March 2025
Tuition fee:
850
City: ONLINE Course coordinator: Professor C.B. (Caroline) Terwee,
Language: English Learning method: Lectures and computer practical
Examination: Written examination (facultative) Examination dates: See Exams page
Number of EC: 2 Details: Contact hours: 18
Date Tuition fee:
4, 5, 6, 11, 12, 13 March 2025
850
City: ONLINE
Course coordinator: Professor C.B. (Caroline) Terwee,
Language: English
Learning method: Lectures and computer practical
Examination: Written examination (facultative)
Examination dates: See Exams page
Number of EC: 2
Details: Contact hours: 18

About the course

This is an online course of 5 half days!

We offer the tutorials and practicals at two different times Morning and afternoon), enabling students from all over the world to attend the course. You can choose your preferred times and register for this course.

The course consists of alternating series of lectures, computer practicals, and working groups. Lectures will introduce the theoretical issues in IRT, whereas practicals and working groups will focus on answering questions and applying the theoretical understanding on example datasets and interpretation of published papers.

If a course is [Full], you can still register, and we will place you on a waiting list. We will contact you as soon as a place becomes available. You can then decide whether you still want to participate.

More information

Faculty