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RSS logo Survey Research Methods: From Design to Analysis
|London School of Economics, LSE Summer School|
Ben Wilson, LSE Department of Methodology
30/07/2018 - 17/08/2018
View in Google Maps (WC2A 2AE)
LSE Summer School Office, +44 (0)20 7955 7227, firstname.lastname@example.org
This course will provide participants with a comprehensive understanding of survey research methods. It will focus on all aspects of the survey research process, from the design of surveys prior to data collection, up to and including the analysis of survey data and reporting of results.
Surveys allow researchers to measure attitudes, behaviours, values and norms. This means that survey data can be used to study a wide variety of research questions. They can also be analysed in a variety of ways, some of which are more appropriate than others.
Participants will develop specialist knowledge about a range of issues, including different sources of bias, response psychology, measurement theory, and non-response. They will also gain first-hand experience of survey analysis using a variety of applied techniques.
By the end of the course, participants will have a greater ability to critically evaluate survey-based research, including both academic and non-academic publications. In addition, the course will provide a dynamic environment in which to develop a range of practical and technical skills. This includes the ability to design high quality surveys, and the confidence to analyse and interpret complex survey data using different statistical approaches. The aim is that participants will continue to benefit from the course throughout their careers, whether as users or producers of research.
This course is ideal for advanced undergraduate students, graduate students, early-career academic researchers, and researchers in the public, private or non-profit sector.
Intermediate (some prior knowledge)
Student rate: £2,200
Website and registration
Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Stata
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