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Coding Qualitative Data - An Intro-Overview: Home

Qual Coding w/ NVivo- Short URL

Friendly URL: lib.gsu.edu/qualcoding | Presented by Dr. Mandy Swygart-Hobaugh, Georgia State University, Head of Research Data Services (RDS), aswygarthobaugh@gsu.edu

PART 1 ~ MINI-METHODS TALK

PART 1 ~ MINI-METHODS TALK


An overview talk about qualitative data types and what it means to do analytical coding of qualitative data.


LEARNING OBJECTIVES -- to explore the following questions: What is qualitative research? What ‘counts’ as qualitative data? What does it mean to ‘code’ qualitative data?

NVivo QDA ~ Free while at GSU

GSU offers NVivo for FREE to current GSU students, faculty, and staff

-- learn more at lib.gsu.edu/nvivo-guide 

IMPORTANT: Once you leave GSU, you will no longer have free NVivo access -- and it's not cheap.


What other QDAS are out there?

Check out this video -- "What Qualitative Data Analysis Tool is right for you?" -- introduces and compares Taguette [free], QualCoder [free], Dedoose [costs], ATLAS.ti [costs], and NVivo [free while at GSU; costs otherwise].


What other QDAS does Dr. Mandy offer support for?

  • NVivo & Taguette as of right now -- maybe QualCoder in the future
  • Don't offer any support for ATLAS.ti, Dedoose, or MAXQDA because GSU does not pay for campus licenses for these.

Additional Resources

PART 2 ~ QUAL-CODING EXERCISE

PART 2 ~ QUAL CODING EXERCISE


Applies knowledge from Part 1 mini-methods talk by hands-on coding an interview transcript using NVivo qualitative data analysis (QDA) tool.


LEARNING OBJECTIVES -- to get hands-on experience using the NVivo qualitative data analysis (QDA) tool: Participants use the NVivo QDA tool to do analytical coding of an interview transcript. They also gain experience in the process of collaborative coding (wherein multiple researchers code the same data and compare the common and divergent themes found in the data) and explore the strengths and challenges of subjectivity and differential interpretation in the qualitative coding process.


EXERCISE FILES:

A semi-structured qualitative interview collected from one participant, identified as P1, recruited for the interview because they had indicated experiencing food insecurity throughout their childhood into young adulthood during a previous conversation with the Interviewer.

Two overall research questions and corresponding interview questions:

RQ1: to gain detailed understanding of adults’ reflections on their experiences of food insecurity during their childhood and young adulthood.

  • Interview Q1: You had mentioned that you experienced food insecurity from when you were a child through when you were in high school. If you're comfortable doing so, can you please tell me more about those experiences.

RQ2: to gain deeper understanding of experiences of stigma among those who experienced food insecurity as children and/or young adults, including potential lasting impacts into adulthood.

  • Interview Q1: You had mentioned in a previous conversation how someone experiencing food insecurity might be “embarrassed” by the experience. If you are comfortable doing so, can you please tell me more about what you meant by someone possibly being embarrassed and about your own experiences of being embarrassed, if you ever felt that way.

DATA FILES: The files below include [1] file with selected excerpts from one interview, [2-4] 3 separate files with 3 different excerpts from full response to Q1, [5] a separate file for the full response to Q2, [6] a file with the whole transcript responses to Q1 and Q2, [7] a methods memo example, and [8] a field notes example.

INTERVIEW TRANSCRIPTS - MULTIPLE VERSIONS

METHODS MEMO & FIELD NOTES EXAMPLES


NOTE: The interviewee gave permission to share their interview transcript for teaching purposes -- you also may reuse for teaching/learning purposes [but NOT for research purposes, please].