Parameters of fit and intermediate solutions in multi-value Qualitative Comparative Analysis
Abstract Multi-value Qualitative Comparative Analysis (mvQCA) is a variant of QCA that continues to exist under the shadow of crisp and fuzzy-set QCA. The lack of support for parameters of fit and intermediate solutions has contributed to this undeserved status. This article introduces two innovatio...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Thiem, Alrik [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media Dordrecht 2014 |
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| Übergeordnetes Werk: |
Enthalten in: Quality & quantity - Springer Netherlands, 1967, 49(2014), 2 vom: 08. März, Seite 657-674 |
|---|---|
| Übergeordnetes Werk: |
volume:49 ; year:2014 ; number:2 ; day:08 ; month:03 ; pages:657-674 |
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| DOI / URN: |
10.1007/s11135-014-0015-x |
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| 520 | |a Abstract Multi-value Qualitative Comparative Analysis (mvQCA) is a variant of QCA that continues to exist under the shadow of crisp and fuzzy-set QCA. The lack of support for parameters of fit and intermediate solutions has contributed to this undeserved status. This article introduces two innovations that put mvQCA on a par with its two sister variants. First, consistency and coverage as the two most important parameters of fit are generalized. Second, the concepts of easy and difficult counterfactuals for deriving intermediate solutions are imported. I demonstrate how to leverage these features in the QCA software package for the R environment. For researchers who do not use QCA, I explain how to exploit Veitch–Karnaugh maps instead for solving set-theoretic minimization problems of low to moderate complexity. | ||
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10.1007/s11135-014-0015-x doi (DE-627)OLC2063496617 (DE-He213)s11135-014-0015-x-p DE-627 ger DE-627 rakwb eng 050 VZ 3,4 ssgn Thiem, Alrik verfasserin aut Parameters of fit and intermediate solutions in multi-value Qualitative Comparative Analysis 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2014 Abstract Multi-value Qualitative Comparative Analysis (mvQCA) is a variant of QCA that continues to exist under the shadow of crisp and fuzzy-set QCA. The lack of support for parameters of fit and intermediate solutions has contributed to this undeserved status. This article introduces two innovations that put mvQCA on a par with its two sister variants. First, consistency and coverage as the two most important parameters of fit are generalized. Second, the concepts of easy and difficult counterfactuals for deriving intermediate solutions are imported. I demonstrate how to leverage these features in the QCA software package for the R environment. For researchers who do not use QCA, I explain how to exploit Veitch–Karnaugh maps instead for solving set-theoretic minimization problems of low to moderate complexity. Configurational comparative methods Consistency Coverage csQCA fsQCA mvQCA QCA Qualitative Comparative Analysis Enthalten in Quality & quantity Springer Netherlands, 1967 49(2014), 2 vom: 08. März, Seite 657-674 (DE-627)129084328 (DE-600)4140-3 (DE-576)014417715 0033-5177 nnns volume:49 year:2014 number:2 day:08 month:03 pages:657-674 https://doi.org/10.1007/s11135-014-0015-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-SOW GBV_ILN_11 GBV_ILN_65 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4325 GBV_ILN_4700 AR 49 2014 2 08 03 657-674 |
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10.1007/s11135-014-0015-x doi (DE-627)OLC2063496617 (DE-He213)s11135-014-0015-x-p DE-627 ger DE-627 rakwb eng 050 VZ 3,4 ssgn Thiem, Alrik verfasserin aut Parameters of fit and intermediate solutions in multi-value Qualitative Comparative Analysis 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2014 Abstract Multi-value Qualitative Comparative Analysis (mvQCA) is a variant of QCA that continues to exist under the shadow of crisp and fuzzy-set QCA. The lack of support for parameters of fit and intermediate solutions has contributed to this undeserved status. This article introduces two innovations that put mvQCA on a par with its two sister variants. First, consistency and coverage as the two most important parameters of fit are generalized. Second, the concepts of easy and difficult counterfactuals for deriving intermediate solutions are imported. I demonstrate how to leverage these features in the QCA software package for the R environment. For researchers who do not use QCA, I explain how to exploit Veitch–Karnaugh maps instead for solving set-theoretic minimization problems of low to moderate complexity. Configurational comparative methods Consistency Coverage csQCA fsQCA mvQCA QCA Qualitative Comparative Analysis Enthalten in Quality & quantity Springer Netherlands, 1967 49(2014), 2 vom: 08. März, Seite 657-674 (DE-627)129084328 (DE-600)4140-3 (DE-576)014417715 0033-5177 nnns volume:49 year:2014 number:2 day:08 month:03 pages:657-674 https://doi.org/10.1007/s11135-014-0015-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-SOW GBV_ILN_11 GBV_ILN_65 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4325 GBV_ILN_4700 AR 49 2014 2 08 03 657-674 |
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Parameters of fit and intermediate solutions in multi-value Qualitative Comparative Analysis |
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Abstract Multi-value Qualitative Comparative Analysis (mvQCA) is a variant of QCA that continues to exist under the shadow of crisp and fuzzy-set QCA. The lack of support for parameters of fit and intermediate solutions has contributed to this undeserved status. This article introduces two innovations that put mvQCA on a par with its two sister variants. First, consistency and coverage as the two most important parameters of fit are generalized. Second, the concepts of easy and difficult counterfactuals for deriving intermediate solutions are imported. I demonstrate how to leverage these features in the QCA software package for the R environment. For researchers who do not use QCA, I explain how to exploit Veitch–Karnaugh maps instead for solving set-theoretic minimization problems of low to moderate complexity. © Springer Science+Business Media Dordrecht 2014 |
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Abstract Multi-value Qualitative Comparative Analysis (mvQCA) is a variant of QCA that continues to exist under the shadow of crisp and fuzzy-set QCA. The lack of support for parameters of fit and intermediate solutions has contributed to this undeserved status. This article introduces two innovations that put mvQCA on a par with its two sister variants. First, consistency and coverage as the two most important parameters of fit are generalized. Second, the concepts of easy and difficult counterfactuals for deriving intermediate solutions are imported. I demonstrate how to leverage these features in the QCA software package for the R environment. For researchers who do not use QCA, I explain how to exploit Veitch–Karnaugh maps instead for solving set-theoretic minimization problems of low to moderate complexity. © Springer Science+Business Media Dordrecht 2014 |
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Abstract Multi-value Qualitative Comparative Analysis (mvQCA) is a variant of QCA that continues to exist under the shadow of crisp and fuzzy-set QCA. The lack of support for parameters of fit and intermediate solutions has contributed to this undeserved status. This article introduces two innovations that put mvQCA on a par with its two sister variants. First, consistency and coverage as the two most important parameters of fit are generalized. Second, the concepts of easy and difficult counterfactuals for deriving intermediate solutions are imported. I demonstrate how to leverage these features in the QCA software package for the R environment. For researchers who do not use QCA, I explain how to exploit Veitch–Karnaugh maps instead for solving set-theoretic minimization problems of low to moderate complexity. © Springer Science+Business Media Dordrecht 2014 |
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Parameters of fit and intermediate solutions in multi-value Qualitative Comparative Analysis |
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