Purposive Selection and the Quality of Qualitative IS Research

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    As qualitative research has found broad acceptance within the IS community, the methodological discourse has turned its attention to questions concerning the quality of qualitative research mostly emphasizing the development of how-to guidelines for good practice. By contrast, criteria for the evaluation of qualitative research, although equally important, have not received equal attention. Drawing on literature from behavioral and social science, this paper discusses methodological concepts of evaluating qualitative research by focusing on techniques to purposefully select data for analysis. In particular, the technique of corpus construction will be introduced, which was specifically designed as an evaluation criterion for qualitative research. Adapted from linguistics, corpus construction offers an alternative that is functionally equivalent to statistical sampling techniques in terms of the quality of empirical research. Hence, the paper contributes the concept of purposive selection as an evaluation criterion to the methodological tool-box and terminology of IS research.
    Original languageEnglish
    Title of host publicationProceedings of the 34th International Conference on Information Systems. ICIS 2013
    EditorsRichard Baskerville, Michael Chau
    Number of pages19
    Place of PublicationAtlanta, GA
    PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publication date2013
    Article number1072
    ISBN (Print)9780615933832
    Publication statusPublished - 2013
    EventThe 34th International Conference on Information Systems. ICIS 2013: Reshaping Society Through Information Systems Design - Università Bocconi, Milan, Italy
    Duration: 15 Dec 201318 Dec 2013
    Conference number: 34


    ConferenceThe 34th International Conference on Information Systems. ICIS 2013
    LocationUniversità Bocconi
    Internet address

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