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[journal article]

dc.contributor.authorAlemán, Joséde
dc.contributor.authorWoods, Dwaynede
dc.date.accessioned2020-01-31T12:24:39Z
dc.date.available2020-01-31T12:24:39Z
dc.date.issued2020de
dc.identifier.issn2190-4936de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/66324
dc.description.abstractThis article addresses the problem of measuring social policy preferences in a valid and reliable way. Scholars have faced a number of challenges in measuring these preferences. First, it is not clear how exactly we should conceive of this domain. Second, the literature presents contradictory findings regarding the effect of contextual factors on policy preferences. Third, abstract preferences regarding the welfare state and information about its performance can affect each other, complicating the attempt to distinguish between the two. Finally, latent manifestations of these preferences might not be equivalent across countries. We develop an approach that validly and reliably measures attitudes about the role of government in addressing inequalities in the market distribution of resources. Mixture modeling and in particular latent class analysis enables us to take advantage of information for multiple countries and survey questions while doing justice to the characteristics of the survey data. Using three waves of the International Social Survey Programme’s module on social inequality, we find that preferences towards the market and the role of government in the economy form four distinct clusters of individuals that we refer to as “moderate altruists”, “moderate egoists”, “extreme altruists”, and “extreme egoists”. These clusters tend to be homogenous with respect to both abstract notions of the role the government should play in the economy as well as about evaluations of actual performance. The exceptions are the last two survey waves, for which we find that one class exhibits a mixed profile of individuals: solidaristic with respect to some indicators, but self-interested with respect to others.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.othersolidarism; self interest; social policy preferences; latent class analysis; mixture modellingde
dc.titleSolidarity and Self-Interest: Using Mixture Modeling to Learn about Social Policy Preferencesde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalMethods, data, analyses : a journal for quantitative methods and survey methodology (mda)
dc.source.volume14de
dc.publisher.countryDEU
dc.source.issue1de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozMessungde
dc.subject.thesozmeasurementen
dc.subject.thesozSozialpolitikde
dc.subject.thesozsocial policyen
dc.subject.thesozPräferenzde
dc.subject.thesozpreferenceen
dc.subject.thesozsoziale Ungleichheitde
dc.subject.thesozsocial inequalityen
dc.subject.thesozEinstellungsforschungde
dc.subject.thesozattitude researchen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozISSPde
dc.subject.thesozISSPen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.subject.thesozinternationaler Vergleichde
dc.subject.thesozinternational comparisonen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10036930
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo61-90de
internal.identifier.classoz10105
internal.identifier.journal614
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.12758/mda.2019.06de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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