Using Digital Technology to Address Confirmability and Scalability in Thematic Analysis of Participant-Provided Data

Chung Joo Chung, J. Patrick Biddix, Han Woo Park

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This article presents a technique for analyzing large-scale qualitative data to address considerations for scalability and confirmability in thematic analysis of participant-provided data. A network approach provides a consistent means of coding that scales with the size of the dataset and is verifiable using standardized methods. This form of data analysis can be used with smaller data sources including interview transcripts as well as large data sources such as open-ended survey responses. A constructivist (inductive) approach is maintained and needed, however, to aid in interpretation of latent constructs. In this article, we provide both a conceptual overview of the co-word analysis method and a practical example.

Original languageEnglish
Pages (from-to)3298-3311
Number of pages14
JournalQualitative Report
Volume25
Issue number9
StatePublished - Sep 2020

Keywords

  • Co-Word Analysis
  • College Students
  • Network Analysis
  • Qualitative Research
  • Technology
  • Thematic Analysis

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