Course Advanced course in questionnaire technique and clinimetrics

The course P256/06 Advanced course in questionnaire technique and clinimetrics is being offered by the Graduate School of Health, Aarhus University, fall 2026.

Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).

Requirements for participation: Introductory course in questionnaire technique and clinimetrics or similar courses. Knowledge of basic statistical concepts is advantageous but not a requirement, and coding in statistical software is not part of the course.

Aim: The purpose of the course is to give participants in-depth knowledge of clinimetric testing of questionnaires and how to interpret relevant statistical output.

Learning outcomes: 

At the end of the course the participants will:

• Be able to develop a new measurement instrument from start to finish
• Have basic knowledge of item reduction techniques and exploratory factor analysis
• Understand how to design and conduct a field test
• Be able to define, discuss and interpret the measurement properties of a) validity, b) reproducibility, c) responsiveness and d) interpretation
• Have an overview of the advantages of modern psychometric methods, including Item Response Theory (IRT) and Rasch analysis

Workload: The full workload of the course is expected to be 35 hours

Content: This advanced course builds on the introductory course in questionnaire technique and clinimetrics. Participants will learn how to develop a new measurement instrument, conduct a field test, and critically evaluate measurement properties such as validity, reproducibility, responsiveness, and interpretability. The basics of item reduction and exploratory factor analysis will also be covered. Finally, participants will be introduced to modern psychometric methods, including IRT and Rasch measurement models.
Exercises will involve interpreting outputs from real datasets. Participants are expected to engage actively in discussions. Although no coding is required, sample Stata and/or R code will be provided for optional use.

Instructors: Henrik Hein Lauridsen

Venue: Aarhus University, Aarhus (other)

Participation in the course is without cost for:

• PhD students, Health Research Year students from Aarhus University
• PhD students enrolled at partner universities of the Nordoc collaboration
• PhD students from other institutions in the open market agreement for PhD courses

Course dates:

• 09 November 2026 09:00 - 16:00
• 16 November 2026 09:00 - 16:00
• 23 November 2026 09:00 - 15:00