12. Collecting Qualitative Data
Tom Clark, Liam Foster, Alan E. Bryman
Abstract
Tom Clark, Liam Foster, Alan E. Bryman
Abstract
This chapter deals with qualitative data. While everyone is familiar with the idea of interviewing and observing, actually collecting qualitative data is not as easy as it might first appear to be. In fact, when doing qualitative work, it is easy to become overwhelmed by the amount of information collected. However, with some purposeful planning, piloting, and practice, the student can avoid some of the pitfalls associated with qualitative data collection. Focusing on qualitative interviews and participant observation, the chapter introduces some of the common issues that arise when gathering qualitative data and offers useful advice concerning the planning and practice of collecting data ‘in the field’.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This chapter deals with qualitative data. While everyone is familiar with the idea of interviewing and observing, actually collecting qualitative data is not as easy as it might first appear to be. In fact, when doing qualitative work, it is easy to become overwhelmed by the amount of information collected. However, with some purposeful planning, piloting, and practice, the student can avoid some of the pitfalls associated with qualitative data collection. Focusing on qualitative interviews and participant observation, the chapter introduces some of the common issues that arise when gathering qualitative data and offers useful advice concerning the planning and practice of collecting data ‘in the field’.
Key concepts: Qualitative research, Interview, Qualitative property, Data collection, Participant observation, Qualitative analysis, Computer science, Data science