MAE4011 – 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
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
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
All students enrolled in the Master's Programme in Assessment, Measurement and Evaluation have equal access to the course. Qualified exchange students or students from other master's programmes at UiO may be considered based on capacity.
Contac us if you want to apply for the course. If you are unsure of whether or not you have sufficient prior knowledge, please send us documentation of previous relevant courses you have taken.?
PhD candidates can apply for the PhD version of the course: UV9291
Recommended previous knowledge
It is recommended that you take MAE4000 Data Science parallell to this course.
Overlapping courses
- 5 credits overlap with UV9291 – Principles of Measurement.
Teaching
This course combines lectures, seminars and computer labs with data analysis tasks in statistical software environments.
Obligatory course components:
- 80% attendance requirement for the lectures
- Participation in seminars and computer labs
- Completion of three individual written assignments
Examination
The exam consists of a 4 hour individual written examination covering all course material and topics.
You need to have successfully completed the obligatory course components before being allowed to sit the exam. If you do not fulfill these requirements, you must submit a written request to apply for an additional assignment prior to sitting the exam. The application must document stated reasons for absence beyond your control.
Previously given exams and grading guides
Examination support material
No examination support material is allowed.
Language of examination
The examination text is given in English, and you submit your response in English.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
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.