4.4 Article

Flexible Coding of In-depth Interviews: A Twenty-first-century Approach

Journal

SOCIOLOGICAL METHODS & RESEARCH
Volume 50, Issue 2, Pages 708-739

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/0049124118799377

Keywords

in-depth interviews; qualitative coding; qualitative data analysis software; grounded theory; sociological research methods

Funding

  1. National Institutes of Health [R01HD046162, RO1HD057599, P01HD082032]
  2. Robert Wood Johnson Investigator Award in Health Care Policy

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The qualitative coding procedures of grounded theory from the 1960s are limited by current technologies and may not fit well with contemporary sociological interview studies. QDA software provides flexibility in storing and analyzing electronic documents, offering more convenience than traditional methods. Proper data organization and analysis steps are needed to better utilize current technology in in-depth interview data analysis.
Qualitative coding procedures emanating from grounded theory were limited by technologies of the 1960s: colored pens, scissors, and index cards. Today, electronic documents can be flexibly stored, retrieved, and cross-referenced using qualitative data analysis (QDA) software. We argue the oft-cited grounded theory framework poorly fits many features of contemporary sociological interview studies, including large samples, coding by teams, and mixed-method analysis. The grounded theory approach also hampers transparency and does not facilitate reanalysis or secondary analysis of interview data. We begin by summarizing grounded theory's assumptions about coding and analysis. We then analyze published articles from American Sociological Association flagship journals, demonstrating that current conventions for semistructured interview studies depart from the grounded theory framework. Based on experience analyzing interview data, we suggest steps in data organization and analysis to better utilize QDA technology. Our goal is to support rigorous, transparent, and flexible analysis of in-depth interview data. We end by discussing strengths and limitations of our twenty-first-century approach.

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