“This excellent book fills a significant gap in the literature supporting planning education by providing clear, succinct advice on the design and implementation of small-scale student research projects.” – Chris Couch, Professor of Geography and Planning, University of Liverpool “A perfect text for supervisors to give students so that they plan their research projects carefully rather than leap headlong into data collection.” – Jean Hillier, Emeritus Professor of Sustainability and Urban Planning, RMIT University, Melbourne “Highly recommended... Ranging across topics such as planning a research programme and data management and the handling of ethical issues, the book will be very helpful to those embarking on a thesis or dissertation in the field.” – Peter Fidler, President of the University of Sunderland Research Design in Urban Planning is a short, accessible, and clearly written text on how to design research for a dissertation planning project. Aimed at both undergraduate and postgraduate levels, this text will: • discuss research design, looking in detail at how researchers make their choices of methods • examine these in reference to case studies/examples from the planning research literature • explain to students how to interpret policy to define researchable questions • review the issues comparatively • situate the methodological questions in terms of research ethics. Packed with case studies, exercises, illustrations and summaries, Research Design in Urban Planning is an invaluable resource for students undertaking their first substantial, individual investigations.
Chapter 7: Methods of Data Generation in Research
Methods of Data Generation in Research
What methods of data generation are available to answer your research question?
What range of considerations do you need to take into account in making decisions on the methods to use?
Interviews, Questionnaires, Ethnography, Observation, Documents, Official statistics
The previous two chapters were based on the assumption that it is a good idea to try to separate out the cases you might be interested in from the potential data sources, that is, the people and places from which you might generate data about those cases, and to do this independently of thinking about the methods that you might use to generate the data. In this chapter the focus is on the methods for data ...