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Dive into the world of qualitative data analysis in this comprehensive guide. Learn how theory informs analysis, the role of computer programs, and the process of linking data with theory. Discover six ways to unearth patterns, including frequencies, magnitudes, structures, processes, causes, and consequences. Explore Grounded Theory Method (GTM) stages, from comparing incidents to writing the theory. Uncover the art of semiotics and conversation analysis, and master coding methods like memoing and concept mapping to delve deeper into qualitative data.
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Chapter 13 Qualitative Data Analysis
Chapter Outline • Linking Theory and Analysis • Qualitative Data Processing • Computer Programs for Qualitative Data • The Qualitative Analysis of Quantitative Data
Qualitative Data Analysis • Searches for explanatory patterns. • Links data collection, analysis and theory.
Six Ways to Discover Patterns • Frequencies • Magnitudes • Structures • Processes • Causes • Consequences
Grounded Theory Method (GTM) Four Stages: • Comparing incidents applicable to each category. • Integrating categories and their properties. • Delimiting the theory. • Writing the theory.
SIGN 1. Poinsettia 2. Horseshoe 3. Blue ribbon 4. "Say cheese" 5. "Break a leg" MEANING a. Good luck b. First prize c. Christmas d. Acting e. Smile for a picture Matching Signs and Their Meanings
Semiotics • The "science of designs". • Signs are anything that is assigned a special meaning.
Conversation Analysis Fundamental Assumptions: • Conversation is a socially structured activity. • Conversations must be understood contextually. • Structure and meaning of conversations must be transcribed.
Coding Methods • Memoing - writing notes about the project. • Concept mapping - graphically classifying individual pieces of data.
Three Kinds of Memos for GTM • Code Notes - identify code labels and their meanings. • Theoretical Notes - reflect meaning of concepts and theories. • Operational Notes -methodological issues.