This course is discontinued

UV9220 – Introduction to Rasch-analysis with Rumm 2030

Course content

  • Basic principles of the Rasch model for dichotomous data: introducing the basic mathematical model, perspectives on the Rasch model as fundamental measurement, interpreting item and person location, item characteristic curves, wright maps, test targeting
  • Extension of the model to polytomous data (the rating scale and partial credit model): interpretation of thresholds and category characteristic curves (including the problem of reversed thresholds)
  • The principle of invariance of measurement: assessing model fit in RUMM (compared to other widely used fit indexes), assessing differential item functioning in RUMM, assessing dimensionality of data in RUMM. The application of RUMM 2030 for conducting Rasch analysis of data.
  • Introduction to advanced topics: e.g. using subtests, using the Rasch model for anchoring, building facets into the model etc.

Learning outcome

The aim of the course is to provide insight into the theoretical underpinning of Rasch analysis and to discuss the use of Rasch analysis to educational data (cognitive content as well as questionnaire data). Students should be able to carry out analysis and interpret their findings after participation on the course.
Part of the time will be dedicated to carrying out and interpreting analysis of a data set. Participants will have the opportunity to bring their own data and work on these Wednesday. The lecturers will assist in analyzing and interpreting your data.


Candidates admitted to a PhD-program at UiO: Apply using Studentweb
Other applicants through registration form


Dates: April 22 (13 – 16), April 23 (9 – 16), and April 24 (9 – 16)

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Responsible: Guri A. Nortvedt and Rolf V. Olsen
Lecturers: Dosent Åsa Lundgren-Nilsson, University of Gothenburg, and Professor Alan Tennant, University of Leeds.

Attendees are expected to read the course literature prior to the course.

Course literature:

  • Andrich. (2011). Rating scales and Rasch measurement. Expert Rev. Pharmacoeconomics outcomes res. 11 (5) p. 571 – 585
  • Bond & Fox: Applying the Rasch Model: Fundamental Measurement in the Human Sciences. 2nd edition, 2007. Lawrence Erlbaum Associates Publishers, Mahwah. Chapters 2, 3, 4, 6, 7 and 10
  • Hagquist, Bruce, & Gustavsson. (2009). Using the Rasch model in nursing research: an introduction and illustrative example. International journal of nursing studies. 46(3) 380 – 393.
  • Lundgren & Tennant. (2011). Past and present issues in Rasch analysis: The functional independence measure (FIMTM ) revisited. Journak of Rehabilitation medicine 43 884 - 891
  • Pallant & Tennant. (2007). An introduction to the Rasch measurement model: An example using the hospital anxiety and depression scale (HADS). British Journal for Clinical Psychology. 46 (). 1 – 18.
  • Tennant & Conaghan. (2007) The Rasch Measurement Model in Rheumatology: What Is It and Why Use It? When Should It Be Applied, and What Should One Look for in a Rasch Paper?: Arthritis & Rheumatism (Arthritis Care & Research), (57)8, 1358--1362.

Suggested secondary reading:

  • Bond & Fox: Applying the Rasch Model: Fundamental Measurement in the Human Sciences. 2nd edition, 2007. Lawrence Erlbaum Associates Publishers, Mahwah. Chapter 11.
  • Hobart & Cano (2009) Improving the evaluation of therapeutic interventions in multiple sclerosis: the role of new psychometric methods. HTA
  • Wilson: Constructing Measures: An Item Response Modelling Approach, 2005. Psychology Press, New York, Chapters 1-4 and 8


1 credit points for course participation (80% attendance required)
3 credit points for course participation and submitted paper

Explanations and appeals

Resit an examination

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Facts about this course






Spring 2013


Spring 2003

Teaching language