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Coding Qualitative Data using Taguette: Home

Friendly URL: lib.gsu.edu/taguette | 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 ‘counts’ as qualitative data? What does it mean to ‘code’ qualitative data?

Taguette Workshop ~ Slides + Taguette-NVivo Comparison Doc + Saldaña Chapter

NVivo QDA ~ Free while at GSU

Not happy with Taguette as a qualitative data analysis (QDA) tool?

GSU offers NVivo software 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.

PART 2 ~ QUAL-CODING WORKSHOP

PART 2 ~ QUAL CODING WORKSHOP


Participants will apply knowledge learned in Part 1 mini-methods talk by hands-on coding an interview transcript using Taguette - taguette.org, an open-source qualitative research tool.


LEARNING OBJECTIVES -- to get hands-on experience using the Taguette open-source qualitative data analysis (QDA) tool: Participants will use the Taguette QDA tool to do analytical coding of an interview transcript. They will 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.


TO DO:

  1. Create / "Register" for a Taguette account
  2. Login to Taguette
  3. Open "Getting Started with TAGUETTE" guide: taguette.org/getting-started.html
  4. Download the TAGUETTE WORKSHOP ~ INTERVIEW DATA FILE (see below)

Taguette Workshop ~ Interview Data File

NOTE: The interviewee gave permission to share this interview transcript solely for the purposes of teaching/learning -- you may reuse for teaching/learning purposes only (not for research purposes).

This workshop is adapted from a curriculum unit developed for a Fall 2023 / Spring 2024 Georgia State University (GSU) experiential learning lab course – “Tackling Food Insecurity: A Public Interest Data Literacy (PIDLit) Learning Lab” – taught by members of the GSU Library’s Research Data Services (RDS) Department. Methods examples and the coding exercise data relate to individuals and communities experiencing food insecurity.