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      On Quantitizing.

      1 , ,
      Journal of mixed methods research
      SAGE Publications

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          Abstract

          Quantitizing, commonly understood to refer to the numerical translation, transformation, or conversion of qualitative data, has become a staple of mixed methods research. Typically glossed are the foundational assumptions, judgments, and compromises involved in converting disparate data sets into each other and whether such conversions advance inquiry. Among these assumptions are that qualitative and quantitative data constitute two kinds of data, that quantitizing constitutes a unidirectional process essentially different from qualitizing, and that counting is an unambiguous process. Among the judgments are deciding what and how to count. Among the compromises are balancing numerical precision with narrative complexity. The standpoints of "conditional complementarity," "critical remediation," and "analytic alternation" clarify the added value of converting qualitative data into quantitative form.

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          Author and article information

          Journal
          J Mix Methods Res
          Journal of mixed methods research
          SAGE Publications
          1558-6898
          1558-6898
          Jul 01 2009
          : 3
          : 3
          Affiliations
          [1 ] The University of North Carolina at Chapel Hill, School of Nursing.
          Article
          NIHMS124021
          10.1177/1558689809334210
          2768355
          19865603
          15c5d33b-27d9-4857-81d3-7a01a530343d
          History

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