SMALL-SCALE QUALITATIVE RESEARCH PROJECT–CODING OF THE INTERVIEWS AND THEME ANALYSIS

***PLEASE PLEASE USE AND FOLLOW CODING TEMPLATE ATTACHED —


At this point, you have conducted semi-structured interviews (attached) and have a wealth of “unmanaged” data. This week’s Assignment will give you foundational practice in making sense of that data through coding and theme analysis. You will discover repeating ideas by grouping related passages of text together (coding) and will record the repeating ideas into larger groups that express a common theme.


To prepare for this Assignment, review the Transcript and Coding Template document provided in this week’s Required Readings and consider again the transcription of your interviews that you submitted in Week 4.

Submit a completed coding and theme analysis for each interview based on the template provided in this week’s Learning Resources. Your analysis should include the following:

  • Your research question for these interviews
  • A list of the codes you developed from your interview transcripts
  • A description of your thinking or working process, explaining how you developed your codes, including any evolution of your coding system
  • In-text coding for your interviews (This means that you are to select and identify chunks of data [codes]. Then create a list of themes and their descriptions developed from the codes. Keep your interview transcripts intact, and show where you have applied the codes to the text.)

Required Readings

  • Saunders, M. N. K., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson Education Unlimited.
    • Chapter 5, Formulating the Research Design, Formulating the Research Design, Section 5.8, “Grounded Theory” (pp. 205–209)
    • Chapter 13, Analyzing Data Qualitatively, Section 13.6, “Thematic Analysis” (pp. 651–660)

  • Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage.
    • Chapter 5, “Analyzing Case Study Evidence: How to Start Your Analysis, Your Analytic Choices, and How They Work” (pp. 165-218)

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