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Coding Qualitative Data - An Intro-Overview + Manual Coding Exercise: Home

Qual Coding w/ Taguette - Short URL

Friendly URL: lib.gsu.edu/qualcodingmanual | 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 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.

NVivo Badge Micro-Credentials

Earn the NVivo Ready! Badge!

  1. Do the NVivo 1 & NVivo 2 recorded tutorials
  2. Score 100% on quizzes to earn the badge! 

Interested? Learn more at lib.gsu.edu/data-ready


Earn the NVivo Team Ready! Badge!

  1. Do the NVivo 1 & NVivo for Team Coding recorded tutorials
  2. Score 100% on quizzes to earn the badge! 

Interested? Learn more at lib.gsu.edu/data-ready


Earn the Mini Course: NVivo Badge!

  1. Complete either the NVivo 1 recorded tutorial OR equivalent live training session(s) with the RDS NVivo instructor
  2. Complete a Mini Project assessed by the RDS NVivo instructor to earn the badge!

Interested? Email Dr. Mandy (RDS NVivo instructor) for more information.


NOTE: Only current Georgia State University (GSU) affiliates – GSU undergraduate or graduate students, staff, faculty – are eligible for the badges.

PART 2 ~ QUAL-CODING WORKSHOP

PART 2 ~ CODING EXERCISE


Applies knowledge from Part 1 mini-methods talk by hands-on manual coding an interview transcript.


LEARNING OBJECTIVES: Participants [1] do analytical coding of an interview transcript, [2]  experience collaborative coding (wherein multiple researchers code the same data then compare the common and divergent themes found in the data), and [3] explore strengths/challenges of subjectivity and differential interpretation in the qualitative coding process.


INTERVIEW TRANSCRIPT FILES:

NOTE: The interviewee gave permission to share their interview transcript for the purposes of teaching/learning (but not reuse for research purposes).