Purposive Selection and the Quality of Qualitative IS Research

    Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

    Resumé

    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.
    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.
    SprogEngelsk
    TitelProceedings of the 34th International Conference on Information Systems. ICIS 2013
    RedaktørerRichard Baskerville, Michael Chau
    Antal sider19
    Udgivelses stedAtlanta, GA
    ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
    Dato2013
    Artikelnummer1072
    ISBN (Trykt)9780615933832
    StatusUdgivet - 2013
    BegivenhedThe 34th International Conference on Information Systems. ICIS 2013: Reshaping Society Through Information Systems Design - Università Bocconi, Milan, Italien
    Varighed: 15 dec. 201318 dec. 2013
    Konferencens nummer: 34
    http://icis2013.aisnet.org/

    Konference

    KonferenceThe 34th International Conference on Information Systems. ICIS 2013
    Nummer34
    LokationUniversità Bocconi
    LandItalien
    ByMilan
    Periode15/12/201318/12/2013
    Internetadresse

    Emneord

    • Qualitative research methodology
    • Quality criteria
    • Purposive selection
    • Purposive sampling
    • Recommendation
    • Corpus construction

    Citer dette

    Marton, A. (2013). Purposive Selection and the Quality of Qualitative IS Research. I R. Baskerville, & M. Chau (red.), Proceedings of the 34th International Conference on Information Systems. ICIS 2013 [1072] Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL).
    Marton, Attila. / Purposive Selection and the Quality of Qualitative IS Research. Proceedings of the 34th International Conference on Information Systems. ICIS 2013. red. / Richard Baskerville ; Michael Chau. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2013.
    @inproceedings{ec82d5c66b6a424fb371a5b3460b7098,
    title = "Purposive Selection and the Quality of Qualitative IS Research",
    abstract = "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.",
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    Marton, A 2013, Purposive Selection and the Quality of Qualitative IS Research. i R Baskerville & M Chau (red), Proceedings of the 34th International Conference on Information Systems. ICIS 2013., 1072, Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, The 34th International Conference on Information Systems. ICIS 2013, Milan, Italien, 15/12/2013.

    Purposive Selection and the Quality of Qualitative IS Research. / Marton, Attila.

    Proceedings of the 34th International Conference on Information Systems. ICIS 2013. red. / Richard Baskerville; Michael Chau. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2013. 1072.

    Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

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    Marton A. Purposive Selection and the Quality of Qualitative IS Research. I Baskerville R, Chau M, red., Proceedings of the 34th International Conference on Information Systems. ICIS 2013. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2013. 1072.