Beyond the dependent variable problem : the methodological challenges of capturing productive and protective dimensions of social policy

John HUDSON, Stefan KÜHNER

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

Abstract

The question of how best to account for the multidimensional character of welfare states has become an integral part of discussions on the so-called dependent variable problem within comparative welfare state research. In this paper, we discuss challenges from an attempt to capture productive and protective welfare state dimensions by means of several methodological techniques, namely Z-score standardisation, cluster analysis, factor analysis and fuzzy-set ideal type analysis. While we illustrate that a decision to use any one of these techniques has a substantial bearing on the produced findings, we specifically argue that fuzzy-set ideal type analysis offers considerable advantages over more traditional, statistically rooted approaches. This is particularly true if the observed dimensions are conceptually distinct and ‘antithetical’.
Original languageEnglish
Pages (from-to)167-179
Number of pages13
JournalSocial Policy and Society
Volume9
Issue number2
DOIs
Publication statusPublished - 1 Apr 2010
Externally publishedYes

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welfare state
ideal type
cluster analysis
factor analysis
Social Policy

Cite this

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Beyond the dependent variable problem : the methodological challenges of capturing productive and protective dimensions of social policy. / HUDSON, John; KÜHNER, Stefan.

In: Social Policy and Society, Vol. 9, No. 2, 01.04.2010, p. 167-179.

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

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