UV9325 – Assessment: instrument development, psychometrics and evidence-based practice
This course will be an introduction to screening and measurement in education, instrument development, diagnostic performance and psychometrics. The aim of the course is to provide students, researchers and professionals with the skills to enhance and develop their knowledge in assessment in educational and social sciences. Students will familiarize themselves with different types of assessments and its purposes in education. They will learn about the psychometric properties of assessments and diagnostic performance of screening, and how to make evidence-based selections in measurement.
Upon completion of the course, candidates
- Have knowledge about different types of assessments and its purposes in education
- Demonstrate understanding of psychometric properties of assessment and diagnostic performance of screening
- Demonstrate knowledge of instrument development
- Demonstrate the ability to compare and summarise the psychometric properties of measures in educational and social sciences
- Demonstrate the ability to make evidence-based selections in measurement
PhD candidates at the Faculty of Educational Sciences will be given priority, but it is also possible for others to apply for the course. As a minimum requirement, all participants must hold at least a Master's degree and have basic knowledge of statistical analyses.
Candidates admitted to the PhD programme at the Faculty of Educational Sciences should apply through Studentweb
Other applicants apply through this application form
Registration deadline: August 19, 2019.
The course covers 18 hours (distributed over 3 days à 6 hours). Mandatory participation is 80%. The teaching will be a combination of lectures and seminars.
Date: September 9-11, 2019.
Location: Room 231, Helga Eng's building.
You will find the timetable at the semester webpage for the course.
A paper (3000 – 4500 words) in which the candidate describes the reliability and validity of one or more measures used in his/her own research or PhD. Apply knowledge from presentations.
1 credit point for course participation, 80% attendance is required.
3 credit points for course participation and submitted paper. 80% attendance is required.
Papers shall be submitted electronically to email@example.com
Deadline for submitting the paper is: October 11, 2019.
Grades are awarded on a pass/fail scale. Read more about the grading system.