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.

Clarifying Common Sources of Confusion in Grounded Theory

After studying this chapter, you will:

  • identify, understand, and avoid common sources of preconception that limit emergent discovery in grounded theory
  • differentiate between describing research findings and conceptualizing data
  • differentiate between substantive and theoretical coding

Most people carry assumptions about how to do research. These assumptions result from their university background and PhD training and sometimes prove to be a real challenge to reconcile with those of classic GT. Indeed, some might prove irreconcilable. Among the common assumptions are the need for a thorough literature review at the outset of a study to identify a gap that justifies pursuing the study, to establish a theoretical framework for data collection and analysis, and to formulate hypotheses to be tested or precise ...

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