How can you analyse narratives, interviews, field notes, or focus group data?

Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results.

The book is intended for Master's and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.

Analysing Qualitative Data – But How?

In this chapter, you will learn more about:

  • The difference between qualitative and quantitative data.
  • The ambiguity of the term ‘qualitative data analysis’.
  • The relationship between qualitative, quantitative and mixed methods research.
  • The importance of the research question in an analysis.
  • The need for methodological rigour in qualitative research.

1.1 Qualitative, Quantitative – A Few Clarifications

What do the terms ‘qualitative data’ and ‘quantitative data’ mean? While the term ‘quantitative data’ is directly associated – even by laymen ...

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