Is the stereotype of welfare recipients associated with type of welfare state regime? A cross-national meta-regression of the stereotype content model

Timothy P. Schofield, Aino Suomi*, Peter Butterworth

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)

    Abstract

    The association of societal-level structural factors with stereotypes and stigma can be examined using the stereotype content model (SCM). The main aim of the current study was to review and synthesize all available research data of SCM dimensions of Warmth and Competence perceptions of welfare recipients, and compare the ratings in different types of social welfare regimes (Nordic, Conservative, and Liberal). To do this, we reviewed all published literature using the SCM methodology to assess stereotypes of welfare recipients and perfomed a cross-national meta-regression of 17 datasets (total N = 1797) drawn from six countries representing three types of welfare regimes. In each of the studies, participants were asked how others in their country viewed welfare recipients on the dimensions of warmth and competence. We predicted and found support for the hypothesis that countries with a Nordic welfare regime have a warmer cultural stereotype of welfare recipients than countries with a Liberal or Conservative regime. However, the expected association between Liberal welfare regime and incompetence stereotypes was not found. Supplementary analyses showed that the type of welfare regime better explained country differences in welfare stereotypes than country differences in income inequality. This study demonstrates how stereotypes of warmth and competence vary across welfare regimes, adding to knowledge about how societal-level factors are related to cultural stereotypes.

    Original languageEnglish
    Pages (from-to)201-209
    Number of pages9
    JournalJournal of Applied Social Psychology
    Volume52
    Issue number4
    DOIs
    Publication statusPublished - Apr 2022

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