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

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  • 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
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    Keywords

    Combined Research Design; Content Analysis; Electronic Negotiations; Mixed-Method Research; Qualitative Research; Theory Development;
    All these keywords.

    JEL classification:

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

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