UV9203 – Survey Methodology

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.

UV9203 Survey Methodology is the PhD-level version of MAE4053 Survey Methodology, a course within the master's program, Assessment Measurement and Evaluation. The content, schedule and reading list for UV9203 Survey Methodology are the same as for MAE4053 Survey Methodology.

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 non-ignorable 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.

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 candidates should be enrolled in a relevant PhD programme.

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. The deadline for registration is on the corresponding semester page.

This course combines lectures, seminars with group work, and computer labs with data analysis tasks in the R environment.

The course has joint teaching with the master course MAE4053 Survey Methodology.

Schedule and literature: Please see the applicable semester page for the course.