UV9250 – Equating test scores with IRT techniques

Course content

In many applications of testing there is a need to have different versions of a test which provide scores on the same scale. Many different techniques of test equating have been developed, and the course focuses on the versatile and powerful techniques developed within the framework of item response theory (IRT), with a special focus on  the Rasch model, and extensions of this model. The course first introduces the basic principles of IRT, including model specification, estimation of item and person parameters, and testing of model fit. Different designs of test linking and equating are then discussed from methodological and practical points of view. In the final part of the course several examples of designs for test equating are presented and discussed, and participants carry out hands-on exercises.

Learning outcome

  • Basic principles of IRT, including model specification, estimation of item and person parameters, and testing of model fit.
  • Different designs of test linking and equating from methodological and practical points of view.
  • Designs for test equating.
  • Hands-on exercises.

Students should be able to carry out analysis and interpret their findings after participation on the course.

Admission

Ph.d.-students at The Faculty of Education will be given priority, but it is also possible for other Ph.d.-students to apply.
Ph.d.-students from the University of Oslo apply through Studentweb
Others apply through this application form

Registration deadline: March 9 2015
 

Prerequisites

Recommended previous knowledge

Previous knowledge of IRT is not assumed, and the course has a non-mathematical, practical, orientation. Basic knowledge of descriptive and inferential statistics is, however, assumed.

Teaching

Dates: March 23-27, 2015

Lectures and hands-on exercises: Monday, Wednesday, and Friday

Consultancy: Tuesday and Thursday

Duration: 20 hours

Course leader: Professor em. Norman Verhelst, Eurometrics, the Netherlands

Please, bring own laptop with Microsoft Windows.

 

Examination

To obtain 1 study point 80% attendance in the lectures is required.

To obtain 3 study points a short paper needs to be submitted after the
course.

Grading scale:
Grades are awarded on a pass/fail scale. Read more about the grading system.
 

Language of examination

The examination text is given in English, and you submit your response in English.

Facts about this course

Credits

3

Level

PhD

Teaching

Spring 2015

Examination

Spring 2015

Teaching language

English