MAE4053 – Survey Methodology
Course description
Schedule, syllabus and examination date
Course content
In this course, you will learn the core principles of survey design and survey methodology. Surveys usually aim to draw a representative sample from a specified target population with a purpose, for example, to make comparisons between groups or estimate trends in the population.
This course introduces surveys and their different aims, sampling designs and survey error types, sampling weights, and missing data, and methods to handle particular survey characteristics. The course covers both methodological considerations and substantive research implications.
Learning outcome
Upon completion of the course, you:
Knowledge?
- demonstrate an understanding of the central principles in survey design;?
- understand how and why surveys are applied in the social sciences;?
- recognize the differences between different sampling methods, and reflect on their suitable use;?
- delineate between different types of missing data principles: missing completely at random, missing at random, and nonignorable missing;
- identify factors that indicate high survey quality.
Skills?
- conduct statistical analyses with survey data to estimate population parameters while accounting for the survey design (e.g., the use of sampling weights);?
- use multiple imputation to handle missing data in the statistical environment R.
Competencies?
- critically read and interpret results from survey reports and secondary analyses of survey data;?
- Identify and develop a systematic survey approach for given research questions.
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 in the Assessment, Measurement and Evaluation Master program have equal access to the course. Qualified exchange students or students from other master's programmes at UiO may be considered based on capacity.
Contact 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.
Formal prerequisite knowledge
Basic knowledge of the statistical programming environment R is required.
Recommended previous knowledge
MAE4000 Data Science or equivalent.
Overlapping courses
- 3 credits overlap with UV9203 – Survey Methodology.
Teaching
This course combines lectures, seminars with group work, and computer labs with data analysis tasks in the R environment.
The proposal for the exam paper has to be submitted and approved to qualify for taking the exam. Once qualified for participating in the exam, you retain this qualification for the next two times the course is offered.
Examination
The exam consists of an individually written paper covering the course contents. The paper should be between 2000 and 2500 words, not including the bibliography and appendices.
Before submitting the exam paper, you are required to hand in a paper proposal as a written assignment. You will be receiving written feedback on your proposal to help improve the quality of the final exam paper. The proposal for the exam paper has to be submitted and approved to qualify for taking the exam.
Oral explanation of the grade will be given upon request by the student (within the given deadline).?
Previously given exams and grading guides.
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.
The grading bases solely on the final assignment.
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.