Dates: 18-29 August 2014
Standard rate: £2310
Academic rate: £1365
Dr Jonathan Jackson
Dr Jouni Kuha
Department of Methodology
The social survey is a core methodology in the social sciences. Surveys allow researchers to track social values, behaviour, attitudes, and norms between groups and over time. Graduate students, early career academic researchers, researchers in the public and private sector, and managers/commissioners of research are increasingly dealing with surveys, whether as consumers, users or producers of research. This course focuses on data collection, questionnaire design, and data analysis in survey research.
This course is ideal for advanced undergraduate students, graduate students, early career academic researchers, and researchers in the public and private sector.
gain a comprehensive understanding of the full survey research process. Whether as a user, consumer or producer of research, participants will be able to assess the quality of existing surveys and be able to conduct their own high quality survey
gain an in-depth understanding of the different ways of conducting survey research, including face-to-face, internet, postal and telephone
learn about the fundamental links between concepts, measures and empirical data in the context of survey research, including specifying the key constructs, developing indicators of key constructs, and following principles of questionnaire design
gain experience in analysing survey data, covering regression models and factor analysis
Understanding of basic descriptive statistics and inference, e.g. Chi-Square, t-tests, simple linear regression.
"Very good course materials and teachers, that made it a really amazing experience."
2013 participant on Survey Methods
This course provides an introduction to the methodology of the design and analysis of social surveys. It is intended both for participants who plan to design and collect their own surveys, and for those who need to understand and use data from existing large-scale surveys.
Lectures and practical seminars cover basic ideas of target populations, survey estimation and inference, sampling error and non-sampling error; sample design and sampling theory; methods of data collection; survey interviewing; cognitive processes in answering survey questions; design and evaluation of survey questions; analysis of survey data using regression modelling and latent variable modelling; and accessing, preparing and working with secondary data from existing social surveys.
The course includes computer classes, using the statistical computer packages Stata and MPlus.
STATA & MPlus; no previous knowledge of either is required.
Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E. and Tourangeau, R. (2009). Survey Methodology. Hoboken, New Jersey: Wiley.
Heeringa, S. G., West, B. T. and Berglund, P. A. (2010). Applied Survey Data Analysis. CRC Press.