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Beyond indices: The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes

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Beyond indices : The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes. / Hudson, John Robert; Kühner, Stefan.

In: Policy and Society, Vol. 32, No. 4, 12.2013, p. 303-317.

Research output: Contribution to journalArticlepeer-review

Harvard

Hudson, JR & Kühner, S 2013, 'Beyond indices: The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes', Policy and Society, vol. 32, no. 4, pp. 303-317. https://doi.org/10.1016/j.polsoc.2013.10.003

APA

Hudson, J. R., & Kühner, S. (2013). Beyond indices: The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes. Policy and Society, 32(4), 303-317. https://doi.org/10.1016/j.polsoc.2013.10.003

Vancouver

Hudson JR, Kühner S. Beyond indices: The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes. Policy and Society. 2013 Dec;32(4):303-317. https://doi.org/10.1016/j.polsoc.2013.10.003

Author

Hudson, John Robert ; Kühner, Stefan. / Beyond indices : The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes. In: Policy and Society. 2013 ; Vol. 32, No. 4. pp. 303-317.

Bibtex - Download

@article{1fde0722f8b94f79893b70c6b8feb35e,
title = "Beyond indices: The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes",
abstract = "League tables ranking performance outcomes within or between countries have become commonplace in most policy sectors in recent decades and there are numerous examples to be found in practice. UNICEF's 2007 Overview of Child Well-Being in Rich Countries offered a comprehensive and widely cited comparative analysis of children's well being in 21 of the richest countries of the world. Utilising an additive index the authors distilled a large amount of quantitative data relating to children's well being and were able to provide the most comprehensive snapshot of outcomes to date. Whilst an advantage of the method – and certainly a key factor in generating media coverage – was the way it allowed for a ranking of nations, recent debates in the comparative policy analysis literature have pointed to the advantages of methods that aim to classify nations into qualitatively distinct types rather than ranking them in league tables. These debates have particular force when multiple components of analysis are conceptually distinct or cases have widely varying contexts. Fuzzy set ideal type analysis (FSITA) has become an increasingly popular alternative approach to the additive index, precisely because it addresses these concerns. In this paper we explore the potential for using FSITA for the comparative analysis of children's well-being. Drawing on the same data and conceptual foundations as the 2007 UNICEF study we explore the potential advantages of utilising a diversity oriented method such as FSITA as tool for policy evaluation that eschews ranking in favour of classifying.",
author = "Hudson, {John Robert} and Stefan K{\"u}hner",
year = "2013",
month = dec,
doi = "10.1016/j.polsoc.2013.10.003",
language = "English",
volume = "32",
pages = "303--317",
journal = "Policy and Society",
issn = "1449-4035",
publisher = "Elsevier BV",
number = "4",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Beyond indices

T2 - The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes

AU - Hudson, John Robert

AU - Kühner, Stefan

PY - 2013/12

Y1 - 2013/12

N2 - League tables ranking performance outcomes within or between countries have become commonplace in most policy sectors in recent decades and there are numerous examples to be found in practice. UNICEF's 2007 Overview of Child Well-Being in Rich Countries offered a comprehensive and widely cited comparative analysis of children's well being in 21 of the richest countries of the world. Utilising an additive index the authors distilled a large amount of quantitative data relating to children's well being and were able to provide the most comprehensive snapshot of outcomes to date. Whilst an advantage of the method – and certainly a key factor in generating media coverage – was the way it allowed for a ranking of nations, recent debates in the comparative policy analysis literature have pointed to the advantages of methods that aim to classify nations into qualitatively distinct types rather than ranking them in league tables. These debates have particular force when multiple components of analysis are conceptually distinct or cases have widely varying contexts. Fuzzy set ideal type analysis (FSITA) has become an increasingly popular alternative approach to the additive index, precisely because it addresses these concerns. In this paper we explore the potential for using FSITA for the comparative analysis of children's well-being. Drawing on the same data and conceptual foundations as the 2007 UNICEF study we explore the potential advantages of utilising a diversity oriented method such as FSITA as tool for policy evaluation that eschews ranking in favour of classifying.

AB - League tables ranking performance outcomes within or between countries have become commonplace in most policy sectors in recent decades and there are numerous examples to be found in practice. UNICEF's 2007 Overview of Child Well-Being in Rich Countries offered a comprehensive and widely cited comparative analysis of children's well being in 21 of the richest countries of the world. Utilising an additive index the authors distilled a large amount of quantitative data relating to children's well being and were able to provide the most comprehensive snapshot of outcomes to date. Whilst an advantage of the method – and certainly a key factor in generating media coverage – was the way it allowed for a ranking of nations, recent debates in the comparative policy analysis literature have pointed to the advantages of methods that aim to classify nations into qualitatively distinct types rather than ranking them in league tables. These debates have particular force when multiple components of analysis are conceptually distinct or cases have widely varying contexts. Fuzzy set ideal type analysis (FSITA) has become an increasingly popular alternative approach to the additive index, precisely because it addresses these concerns. In this paper we explore the potential for using FSITA for the comparative analysis of children's well-being. Drawing on the same data and conceptual foundations as the 2007 UNICEF study we explore the potential advantages of utilising a diversity oriented method such as FSITA as tool for policy evaluation that eschews ranking in favour of classifying.

U2 - 10.1016/j.polsoc.2013.10.003

DO - 10.1016/j.polsoc.2013.10.003

M3 - Article

VL - 32

SP - 303

EP - 317

JO - Policy and Society

JF - Policy and Society

SN - 1449-4035

IS - 4

ER -