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.…
Author: | Andreas Kaufmann, Ann Barcomb, Dirk Riehle |
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Persistent identifiers - 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 publication: | 2016 |
Date of online publication (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 |
Length/size: | 10 |
Institutes: | Technische Fakultät |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
3 Sozialwissenschaften / 37 Bildung und Erziehung / 378 Hochschulbildung | |
open_access (DINI-Set): | open_access |
Licence (German): |