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Qualitative Data Analysis: Coding - FrontPage | OCTSI

Qualitative Data Analysis: CodingQualitative Methods: InterviewsChickasaw Nation September 12, 20172 Session Overview Memos to Codes Developing Codebook Coding Data Inter coder Agreement Thick Descriptions Comparisons and Categorizations3 Memos vs Codes Memos are your initial notes in margin as you actively read transcripts Codes are the themes, topics, or concepts that emerge as repetition across multiple transcripts4 Memos to Codes You develop codes software does not develop codes Use about 1/3 of your data to develop codes Choose diverse transcripts Memos that are repeated might indicate code You can modify codes later iterative process5 Types of Codes Inductive Codes Majority of codes Emerge from the data as repetitive themes Deductive Codes Predetermined codes based on interview guide Concepts from literature Need to validate that codes are in data6 Developing a Codebook Dictionary or guidebook of all codes in project Provides guidelines for consistent codingacross multiple staff Provides name of the code (easy to remember) Provides clear definition or description of what code is and is not Provides example of appropriate text excerpt for code7 What Makes a Code?

•Comparisons and Categorizations. 3 Memos vs Codes •Memos are your initial notes in margin as you actively read transcripts •Codes are the themes, topics, or concepts that emerge as repetition across multiple transcripts. 4 Memos to Codes …

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