Using Students as a Distributed Coding Team for Validation through Intercoder Agreement

Please always quote using this URN: urn:nbn:de:bvb:29-opus4-71303
  • In qualitative research, results often emerge through an analysis process called coding. A common measure of validity of theories built through qualitative research is the agreement between different people coding the same materials. High intercoder agreement indicates that the findings are derived from the data as opposed to being relative results based on the original researcher's bias. However, measuring such intercoder agreement incurs the high cost of having additional researchers perform seemingly redundant work. In this paper we present first results on a novel method of using students for validating theories. We find that intercoder agreement between a large number of students isIn qualitative research, results often emerge through an analysis process called coding. A common measure of validity of theories built through qualitative research is the agreement between different people coding the same materials. High intercoder agreement indicates that the findings are derived from the data as opposed to being relative results based on the original researcher's bias. However, measuring such intercoder agreement incurs the high cost of having additional researchers perform seemingly redundant work. In this paper we present first results on a novel method of using students for validating theories. We find that intercoder agreement between a large number of students is almost as good as the intercoder agreement between two professionals working on the same materials.show moreshow less

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Metadaten
Author:Andreas Kaufmann, Ann Barcomb, Dirk Riehle
URN:urn:nbn:de:bvb:29-opus4-71303
ISSN:2191-5008
Title of the journal / compilation (English):Technical Reports
Series (Volume number):Technical reports / Department Informatik (CS 2016-01)
Document Type:Report
Language:English
Year of Completion:2016
Embargo Date:2016/04/05
Publishing Institution:Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Release Date:2016/05/12
Tag:Collective Coding; Distributed Coding; Intercoder Agreement; Qualitative Data Analysis; Theory Triangulation
SWD-Keyword:validation
Pagenumber:10
Institutes:Technische Fakultät
Dewey Decimal Classification:Informatik, Informationswissenschaft, allgemeine Werke / Informatik, Wissen, Systeme / Informatik, Informationswissenschaft, allgemeine Werke
Sozialwissenschaften / Bildung und Erziehung / Hochschulbildung
open_access (DINI-Set):open_access
Licence (German):Keine Creative Commons Lizenz - es gilt der Veröffentlichungsvertrag und das deutsche Urheberrecht