Open Coding
Open Coding is a qualitative data analysis technique within interpretive methodology that involves systematically identifying, labeling, and categorizing textual data into conceptual categories to generate theoretical insights through inductive reasoning.
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Publications
48.6K
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1.6K
Authors
751
Institutions
Publications per year
2017–2026
239
Parents
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A Team-based Approach to Open Coding: Considerations for Creating Intercoder Consensus
M. Ariel Cascio, Eunlye Lee, Nicole Vaudrin et al. · Field Methods · 2019 · 461 citations
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Purdue University West Lafayette
West Lafayette, United States
10 h-index
21 publications
602 citations

North-West University
Potchefstroom, South Africa
9 h-index
23 publications
582 citations
University of California, San Francisco
San Francisco, United States
8 h-index
17 publications
959 citations

University of Toronto
Toronto, Canada
8 h-index
22 publications
685 citations

Johns Hopkins University
Baltimore, United States
6 h-index
10 publications
279 citations
University of Washington
Seattle, United States
6 h-index
14 publications
540 citations

University of Pretoria
Pretoria, South Africa
6 h-index
9 publications
233 citations
University Medical Center Groningen
Groningen, The Netherlands
6 h-index
13 publications
385 citations
1–8 of 751
9 publications · 331 citations
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Repository · 8 publications · 133 citations
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8 publications · 168 citations
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8 publications · 355 citations
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6 publications · 230 citations
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