UV9293 – Item Response Theory
Course description
Schedule, syllabus and examination date
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
- Item Characteristic Curves
- Item & Test Information
- Item fit & Person fit
- Item Banking: Scaling and Linking
- Multidimensional IRT
UV9293 is taught alongside the master`s level course MAE4120 Item Response Theory. The contents of the course, schedule and reading list are the same as for MAE4120.
It is strongly recommended that the students in UV9293 attend all lectures, seminars and labs, and that they complete the lab exercises.
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
There is a limited number of seats due to joint teaching with the master’s level version of the course.
PhD candidates at the Faculty of Educational Sciences will be given priority, but it is also possible for others to apply for the course.
The deadline for registration is on the corresponding semester page for the course.?
Candidates admitted to a PhD-program at the Faculty of Educational Sciences (UV) can apply in StudentWeb.
Other applicants can apply by filling out and sending in a electronic registration form, which is found on the corresponding semester page for the course.?
Formal prerequisite knowledge
Basic knowledge of R is required.
Overlapping courses
- 5 credits overlap with MAE4120 – Item Response Theory.
- 2 credits overlap with UV9293B.
- 1 credits overlap with UV9293U.
Teaching
This course combines lectures, seminars?and computer labs with data analysis tasks in statistical software environments.
The course has joint teaching with the master course MAE4120?Item Response Theory.
Lectures are held by Associate Professor Bj?rn Andersson.?
Schedule and literature: Please see the applicable semester page for the course.?
Examination
To obtain 5 credits, 80 % attendance, successful completion of the mandatory assignments and paper is required.
A more specific description of the mandatory assignments and paper will be given at the course.
Language of examination
The examination text is given in English, and you submit your response in English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.