UV9291 – Principles of Measurement
Course description
Schedule, syllabus and examination date
Course content
In this course you get acquainted with the foundational theories and concepts in measurement.
The course covers the following overarching topics:
- Fundamental issues in measurement
- Technical and statistical foundations in educational measurement
- Reliability
- Validity
- Testing applications and interpretations
UV9291 Principles of Measurement is the PhD-level version of MAE4011 Principles of Measurement, a compulsory course in the master's program, Assessment Measurement and Evaluation. The content, schedule and reading list for UV9291 Principles of Measurement are the same as for MAE4011 Principles of Measurement.
Learning outcome
Knowledge:
- Understand the basic principles of measurement, particularly as they pertain to classical test theory, including reliability and validity.
- Understand why and what we measure in education and related social science.
- Problematize classical and contemporary issues around educational measurement, including the metric of measurement and sources of error.
Skills:
- Use classical test theory techniques to evaluate the quality of test data and to produce basic scale scores for examinees and survey respondents.
- Interpret test scores.
Competencies:
- Apply the basic principles and procedures of statistics and measurement theory to educational and psychological measurement.
- Incorporate the evaluation of the adequacy of reliability and validity evidence into decisions regarding the use of educational and psychological measurements.
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 MAE4011 – Principles of Measurement.
- 4 credits overlap with UV9225 – Introduction to Educational Measurement (discontinued).
- 1 credits overlap with UV9291U.
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 MAE4011 Principles of Measurement.
Lectures are held by Associate Professor Esther Ulitzsch.
Obligatory course components:
- 80% attendance requirement for the lectures
- Participation in seminars and computer labs
- Completion of three individual written assignments
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.