Programmes

Survey Research Methods: From Design to Analysis

  • Summer schools
  • Department of Methodology
  • Application code SS-ME301
  • Starting 2018

One of the most important tools for researchers is the survey. Our evidence is often based on surveys, and the quality of this evidence depends upon survey design, data collection, and analysis.

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.


Session: Three
Dates: 30 July - 17 August 2018
Lecturer: Ben Wilson


 

Programme details

Key facts

Level: 300 level. Read more information on levels in our FAQs

Fees:  Please see Fees and payments

Lectures: 36 hours 

Classes: 18 hours

Assessment*: One individual project and one written examination

Typical credit**: 3-4 credits (US) 7.5 ECTS points (EU)


*Assessment is optional

**You will need to check with your home institution

For more information on exams and credit, read Teaching and assessment

Prerequisites

Participants should have a knowledge of quantitative research methods or introductory statistics, up to linear regression analysis.

In particular, the course will assume that participants have an understanding of statistical inference using t-tests and have prior experience of interpreting the results of multiple linear regression. We will review these topics briefly during the course.

It is also desirable that participants have some experience of using statistical software to analyse quantitative data.

Programme structure

The aim of this course is to provide participants with a comprehensive understanding of survey research methods. It is intended for participants who plan to design and carry out their own survey, as well as those who need to analyse data from either their own, or from existing surveys.

The course will focus on the following two main objectives:

1. We will provide participants with a methodological framework that covers the entire survey process. This framework allows researchers to identify and avoid multiple sources of error. As a result, participants will be able to maximise the reliability and validity of their survey-based findings.

2. We will enable participants to develop the practical knowledge and statistical skills that are required to carry out high quality survey research.

The syllabus includes the following topics:

  • an overview of the survey process
  • sources of survey error
  • question design and question testing
  • choosing who to interview
  • methods of data collection
  • the psychology of survey response
  • statistical analysis of survey data
  • measurement and factor analysis
  • non-response and survey weights

Seminars will provide participants with an opportunity to improve their understanding of each of these topics, while simultaneously developing a range of practical and technical skills.

The course will include computer classes using the statistical software ‘Stata’. It will also provide participants with a broader knowledge of the literature on survey research methods.

Course outcomes

Participants will:

  • Gain a comprehensive understanding of the entire survey research process
  • Develop the knowledge that is required to carry out or commission high quality surveys
  • Learn about the fundamental links between concepts, measures and empirical data in the context of survey research. 
  • Learn how to define constructs, how to measure these constructs, and how to design questionnaires in order to minimise bias
  • Gain an in-depth understanding of the different ways of conducting survey research, including face-to-face, internet, postal and telephone surveys.
  • Learn about survey data analysis, and gain practical experience of analysing survey data using regression models that take account of different aspects of survey design such as stratification and non-response.
  • Gain other analytical experience, including familiarity with factor analysis, survey weights, and multiple imputation.
  • Be able to assess the quality of existing surveys and published analysis based on survey data.

Teaching

The Department of Methodology is an internationally recognized centre of excellence in research and teaching in the area of social science research methodology. The disciplinary backgrounds of the staff include political science, statistics, sociology, social psychology, anthropology and criminology. The Department coordinates and provides a focus for methodological activities at the School, in particular in the areas of graduate student (and staff) training and of methodological research

 

Reading materials

Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E. and Tourangeau, R. (2009). Survey Methodology. Hoboken, New Jersey: Wiley.

 *A more detailed reading list will be supplied prior to the start of the programme

**Course content, faculty and dates may be subject to change without prior notice

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