On Quantitizing.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Sandelowski, M; Voils, CI; Knafl, G

Published Date

  • July 1, 2009

Published In

Volume / Issue

  • 3 / 3

Start / End Page

  • 208 - 222

PubMed ID

  • 19865603

Pubmed Central ID

  • 19865603

International Standard Serial Number (ISSN)

  • 1558-6898

Digital Object Identifier (DOI)

  • 10.1177/1558689809334210

Language

  • eng

Conference Location

  • United States