• Summary
  • Contents
  • Subject index

This is a primary, comprehensive textbook for people who are considering undertaking a piece of health-related research. It is an accessible companion with the aim of getting the reader to think broadly about all of the issues that need to be considered when embarking on a project. This is a pragmatic book, a step-by-step guide to research which mirrors the structure of a research project, taking you through the thought process for designing and conducting your study from formulating the right research question at idea inception, ascertaining what methodologies and analysis can answer what type of questions, right through to dissemination, all presented in an easy, digestible style. The book is full of case study illustrations and practical tips such as how to work out a research budget and obtaining funding for your project, discussion of what permissions need to obtained when conducting research with people, and how to involve public and patients. The authors are all experienced researchers and so this book is an accumulation of collective wisdom on common research challenges and issues.

Qualitative Data Collection
Qualitative data collection
Jonathan IvesSarah Damery
Learning Objectives
  • Understand what qualitative research is
  • Gain a theoretical understanding of how interviews, focus groups and participant observation function as methods for collecting qualitative data
  • Appreciate some of the advantages and disadvantages of these methods
  • Appreciate some of the practical issues that must be considered when choosing a qualitative data collection method

Qualitative research can furnish us with rich data that provide insight into human behaviour, and are concerned with documenting and understanding people's experiences, beliefs, values, motivations, perspectives and desires. Historically, qualitative research has been viewed with some scepticism by the medical community. This was largely due to an unreasonable comparison to quantitative research, with complaints about small sample sizes, lack of generalisability, reproducibility and statistical power. Over time ...

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