MSc Data Science (Social Analytics) / Course details
Year of entry: 2021
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Course unit details:
Survey Research Methods
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 1|
|Offered by||Social Statistics|
|Available as a free choice unit?||Yes|
The social survey is a research tool of fundamental importance across a range of disciplines and is widely used in applied research and as evidence to inform policy making. This course considers the process of conducting a survey, with an emphasis on practical aspects of survey design and implementation, as well as factors that influence the quality of survey data. The course will also cover key statistical concepts and procedures in sample design and estimation.
- Introduce students to the basic principles of survey design that are used in large-scale surveys;
- Provide an introduction to key elements of conducting a survey, including sampling techniques, alternative modes of data collection, the role of the survey interviewer, questionnaire design, measurement error, and estimation in surveys;
- Become familiar with the factors and behaviours that affect the quality of survey data
By the end of the course students will:
·be able to apply the key terminology used in large-scale survey design.
·understand factors that influence data quality, including coverage, sampling, and nonresponse.
·be able to evaluate different survey methods and sampling techniques.
·be able to identify methods for assessing the quality of survey data.
·have a clear understanding of the steps involved in designing and planning a survey.
Teaching and learning methods
The course is taught over 11 weeks
|Written assignment (inc essay)||80%|