Reliability in Coding Open-Ended Data: Lessons Learned from HIV Behavioral Research

Analysis of text from open-ended interviews has become an important research tool in numerous fields, including business, education, and health research. Coding is an essential part of such analysis, but questions of quality control in the coding process have generally received little attention. Thi...

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Veröffentlicht in:Field methods Jg. 16; H. 3; S. 307 - 331
Hauptverfasser: Hruschka, Daniel J., Schwartz, Deborah, St.John, Daphne Cobb, Picone-Decaro, Erin, Jenkins, Richard A., Carey, James W.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Thousand Oaks, CA Sage Publications 01.08.2004
SAGE PUBLICATIONS, INC
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ISSN:1525-822X, 1552-3969
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Zusammenfassung:Analysis of text from open-ended interviews has become an important research tool in numerous fields, including business, education, and health research. Coding is an essential part of such analysis, but questions of quality control in the coding process have generally received little attention. This article examines the text coding process applied to three HIV-related studies conducted with the Centers for Disease Control and Prevention considering populations in the United States and Zimbabwe. Based on experience coding data from these studies, we conclude that (1) a team of coders will initially produce very different codings, but (2) it is possible, through a process of codebook revision and recoding, to establish strong levels of intercoder reliability (e.g., most codes with kappa 0.8). Furthermore, steps can be taken to improve initially poor intercoder reliability and to reduce the number of iterations required to generate stronger intercoder reliability.
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ISSN:1525-822X
1552-3969
DOI:10.1177/1525822X04266540