Specific published examples that mix qualitative and quantitative data, methods, and techniques help readers troubleshoot challenges with different types of data as they develop their own GT expertise. Test Your Knowledge questions at the end of each chapter allow readers to check their understanding of the chapter’s main elements. Suggestions for further reading make it easy for readers to explore additional literature related to chapter topics. Valuable appendices offer examples of the differences between qualitative description and conceptualization, conceptual elaboration of qualitative data, and mixed methods GT. A comprehensive glossary of key terms, extracts from three studies that used classic GT approaches, examples of coding, and examples of diagrams in the back of the book serve as helpful resources to promote reader comprehension.

Analyzing Your Data

After studying this chapter, you will:

  • appreciate the distinction between descriptive analysis and conceptual analysis
  • articulate how to employ constant comparative analysis
  • distinguish between the various types and stages of coding used in GT
  • appreciate the key role of analytic memoing in GT analysis
  • articulate how to identify a core category
  • appreciate the iterative nature of data analysis in GT
  • evaluate the impact of software applications on GT analysis

In this chapter we focus on the techniques of data analysis as employed in classic GT. The conceptualization of data through coding and memoing is the foundation of GT analysis, the goal being the discovery of a latent pattern of social behavior that explains a main issue or concern within an area of research interest. This latent pattern analysis approach ...

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