IDEAS home Printed from https://ideas.repec.org/a/sbr/abstra/v59y2007i1p29-57.html
   My bibliography  Save this article

From Words to Numbers: How to Transform Qualitative Data into Meaningful Quantitative Results

Author

Listed:
  • Katharina J. Srnka
  • Sabine t. Koeszegi

Abstract

In proposing a procedure for transforming qualitative data into quantitative results, we address the manifold requests for discovery-oriented research in the business disciplines. We present a systematic classification of combined qualitative-quantitative research designs and argue in favor of the generalization model. We give guidelines for its implementation and provide a blueprint for systematically converting respondents’ words into numbers that can be used for further (statistical) analyses. We delimit and discuss the stages of unitization, categorization, and coding. We also raise quality issues and propose relevant quality criteria in the transformation process. In particular, we suggest the intercoder consistency-matrix for determining the incisiveness of categories developed through content analysis. Finally, we demonstrate in an exemplary study how the blueprint can be applied and highlight the benefits of the proposed research design.

Suggested Citation

  • Katharina J. Srnka & Sabine t. Koeszegi, 2007. "From Words to Numbers: How to Transform Qualitative Data into Meaningful Quantitative Results," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 59(1), pages 29-57, January.
  • Handle: RePEc:sbr:abstra:v:59:y:2007:i:1:p:29-57
    as

    Download full text from publisher

    File URL: http://www.vhb.de/sbr/pdfarchive.html
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Regina Michalski-Karl & Silvia Pernsteiner & Michaela Schaffhauser-Linzatti, 2009. "Signaling Public Private Partnership Activities: Reporting Behavior Within Annual Reports," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(2), pages 178-185, May.
    2. repec:spr:grdene:v:22:y:2013:i:5:d:10.1007_s10726-012-9295-5 is not listed on IDEAS
    3. Truyens, Jasper & De Bosscher, Veerle & Sotiriadou, Popi & Heyndels, Bruno & Westerbeek, Hans, 2016. "A method to evaluate countries’ organisational capacity: A four country comparison in athletics," Sport Management Review, Elsevier, vol. 19(3), pages 279-292.
    4. repec:kap:iaecre:v:15:y:2009:i:2:p:178-185 is not listed on IDEAS
    5. repec:eee:ecoser:v:14:y:2015:i:c:p:98-112 is not listed on IDEAS
    6. repec:eee:touman:v:60:y:2017:i:c:p:270-279 is not listed on IDEAS
    7. Andreas Hoffjan & Rouven Trapp & Christoph Endenich & Thomas Boucoiran, 2012. "International budgeting—challenges for German-French companies," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 23(1), pages 5-25, September.
    8. repec:eee:jbrese:v:79:y:2017:i:c:p:219-227 is not listed on IDEAS
    9. Soviana, Soviana, 2013. "Case Survey for Assessing Community-Based Enterprise: A Research Design," EconStor Preprints 84707, ZBW - German National Library of Economics.
    10. Simone Kriglstein & Maria Leitner & Sonja Kabicher-Fuchs & Stefanie Rinderle-Ma, 2016. "Evaluation Methods in Process-Aware Information Systems Research with a Perspective on Human Orientation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(6), pages 397-414, December.
    11. Christoph Graf & Rudolf Vetschera & Yingchao Zhang, 2013. "Parameters of social preference functions: measurement and external validity," Theory and Decision, Springer, vol. 74(3), pages 357-382, March.

    More about this item

    Keywords

    Combined Research Design; Content Analysis; Electronic Negotiations; Mixed-Method Research; Qualitative Research; Theory Development;

    JEL classification:

    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sbr:abstra:v:59:y:2007:i:1:p:29-57. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (sbr). General contact details of provider: http://edirc.repec.org/data/fbmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.