This chapter discusses the basics of collecting quantitative material. It outlines the nature of quantitative data in the context of the research process, before exploring the differences between primary and secondary data. In doing so, it highlights some of the benefits of using secondary data sets for the purposes of dissertation-based research. The chapter then examines the relationship between research questions, concepts, and variables, before exploring how quantitative data can be measured at different levels. Finally, it offers some useful tips and advice concerning one technique that is particularly common in student projects — the questionnaire — and demonstrates the different ways in which questionnaires can be developed and administered.
This chapter discusses the principles of survey research as well as the issues and problems associated with different stages of the research design process. In particular, it examines questionnaire design, sample design, and interviewing techniques, along with the common sources of error that affect survey research and what can be done to try and avoid or minimize them. Although surveys have several weaknesses, they are widely used in political research to investigate a wide range of political phenomena. They combine two things: obtaining information from people by asking questions and random sampling. When done well, surveys provide an accurate and reliable insight into what ordinary people think about politics and how they participate in politics. The chapter considers the elements of a survey that need to be addressed, namely: questionnaire design, measurement error, sampling design, sampling error, and interview mode.