Course content

In this course you will learn the core concepts and techniques of item response theory (IRT) which underlie current test design strategies, psychometric analyses, and evaluation of assessment instruments.

The course covers the following five key topics

  1. Item Characteristic Curves
  2. Item & Test Information
  3. Item fit & Person fit
  4. Item Banking: Scaling and Linking
  5. Multidimensional IRT

Learning outcome

Knowledge

  • demonstrate an understanding of the basic principles and models within Item Response Theory (IRT)
  • understand how IRT is used in education and psychology to conduct individual-level and population-level inference
  • recognize the differences between classical and IRT test design approaches

Skills

  • conduct IRT analyses to evaluate assessments and construct scales
  • fit IRT models to test data using the open source statistical software environment R

Competencies

  • outline a research program that can support the development of an assessment within an IRT framework
  • evaluate the appropriateness of assessments for their intended purpose by utilizing IRT techniques and tools

Admission to the course

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Ph.d. candidates can apply for the Ph.d. version of the course: UV9293

Having completed MAE4000 Data Science or equivalent.?If you are unsure of whether your prior knowledge is sufficient, please contact studentinfo@cemo.uio.no

Overlapping courses

Teaching

This course combines lectures, seminars and computer labs with data analysis tasks in statistical software environments.

Obligatory course components:

  • completion of two written assignments
  • participation in the two seminars

Examination

The exam consists of an individual written assignment covering the course contents.

The assignment should be between 2500 and 3500 words long, not including bibliography and appendices.

Students are to submit a one-page written summary of their chosen topic and present it in one of the obligatory seminars. Written and verbal feedback will be given.?

Previous exams

Language of examination

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

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

More about examinations at UiO

You will find further guides and resources at the web page on examinations at UiO.

Last updated from FS (Common Student System) Nov. 5, 2024 10:29:38 AM

Facts about this course

Level
Master
Credits
10
Teaching
Spring
Examination
Spring
Teaching language
English