Introduction to Rasch Measurement Theory
This course introduces the properties of the Rasch model and Rasch analysis using the software RUMM2030+
The course is accredited as part of the PhD program Health and Welfare. The course is compulsory for all participants admitted to the PhD programme.
- Campus
- Elverum
- Structure
- Gatherings
- Credits
- 5
- Teaching language
- NO + ENG
- Startup
- January
- Application deadline
- Jan. 6, 2025
About the Programme
Rasch analysis is a statistical method used to analyse and evaluate data from tests, questionnaires, or other measurement instruments. The method is particularly useful for measuring and analysing latent traits, which are characteristics that cannot be directly observed, such as knowledge level, mental distress, or quality of life. Rasch analysis provides various statistical measures that can be used to assess the quality of an instrument/scale. By using Rasch analysis, one examines whether the data fit the Rasch model. Rasch analysis is used both to develop new measurement instruments/scales and to improve existing ones.
Rasch analysis can be highly valuable in research and evaluation contexts where there is a desire to measure and understand latent traits. The analysis can help assess the validity and reliability of a measurement instrument/scale and based on this assessment, improve its psychometric properties. Rasch analysis is applied in various fields, including education, psychology, and health.
The purpose of this course is to introduce participants to the properties of the Rasch model and develop skills in conducting Rasch analyses using the RUMM2030+ software. The course combines lectures, seminars, analysis work, presentations, and self-study. Participants are encouraged to use their own research projects and data for analysis. For those without their own data, datasets will be provided.
The course concludes with an individual take-home exam structured as a scientific article based on the properties of the Rasch model and the analyses conducted during the course.
The course takes place in Elverum, and attendance and participation in the classes are mandatory.
About the teaching plan and attendance
Teaching plan:
January 28 - 30, 2025
January 18 - 19, 2025
Submission deadline: March 11, 2025
Compulsory requirements:
All courses have compulsory requirements that must be approved before an exam can be taken. Because of this, it is important that you read the subject description thoroughly. There is a requirement of 80% attendance in order to take the exam. The requirement for presence applies regardless of the reason for the absence.
Application deadline and admission
Applicants must have a MA-degree (120 ECTS), or being registered as a PhD-student.
The course has limited intake capasity, and priority will be given to PhD candidates who follow an individual education plan where this particular course is included, or for employees at higher education institutes.
Application:
PhD candidates at HINN do not need to upload documentation of education.
Application deadline: January 6, 2025
How much does it cost?
Tuition fee (not applicable for PhD candidates or employees at HINN):
For other participants mentioned above the tuition fee is NOK 3000,-
Curricula and courses
Contact us
For further questions, please contact hsv-phdadm@inn.no
