Addressing the Challenges Related to Transforming Qualitative Into Quantitative Data in Qualitative Comparative Analysis
Autor: | De Block, Debora, Vis, B., Public Governance, UU LEG Research USG Public Matters Public Governance and Management, UU LEG Research USG Public Matters |
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Přispěvatelé: | Public Governance, UU LEG Research USG Public Matters Public Governance and Management, UU LEG Research USG Public Matters |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
qualitative data
Computer science Calibration (statistics) sensitivity testing Qualitative property quantitizing Education Empirical research 0502 economics and business 050602 political science & public administration data presentation Data calibration mixed methods research Qualitative comparative analysis Multimethodology 05 social sciences calibration Data science 0506 political science qualitative comparative analysis Sensitivity testing Data presentation Water Systems and Global Change Statistics Probability and Uncertainty 050203 business & management Social Sciences (miscellaneous) Hardware_LOGICDESIGN |
Zdroj: | Journal of Mixed Methods Research, 13(4), 503-535 Journal of Mixed Methods Research, 13(4). SAGE Publications Ltd Journal of Mixed Methods Research 13 (2019) 4 |
ISSN: | 1558-6898 |
Popis: | The use of qualitative data has so far received relatively little attention in methodological discussions on qualitative comparative analysis (QCA). This article addresses this lacuna by discussing the challenges researchers face when transforming qualitative data into quantitative data in QCA. By reviewing 29 empirical studies using qualitative data for QCA, we explore common practices related to data calibration, data presentation, and sensitivity testing. Based on these three issues, we provide considerations when using qualitative data for QCA, which are relevant both for QCA scholars working with qualitative data and the wider mixed methods research community involved in quantitizing. |
Databáze: | OpenAIRE |
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