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    Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10259/11590

    Título
    Identifying Population Groups Based on Humanity Attribution to Low‐, Middle‐ and High‐Socioeconomic Status Groups: A Multilevel Latent Profile Analysis
    Autor
    Sainz, Mario
    Martínez, Rocío
    Muelas Lobato, RobertoUBU authority Orcid
    Publicado en
    Journal of Community & Applied Social Psychology
    Editorial
    Wiley
    Fecha de publicación
    2026-03
    ISSN
    1052-9284
    DOI
    10.1002/casp.70240
    Abstract
    Despite growing research on (de)humanisation in the socioeconomic domain, the extent and diversity of these tendencies withinthe population remain unclear. This study used a representative sample of Spaniards (N = 1478) to examine the existence andprevalence of distinct dehumaniser profiles at both the individual (Level 1) and societal (Level 2) levels. We conducted a multi-level latent profile analysis using humanity attribution scores for low-, middle- and high-SES groups. At the individual level, fiveprofiles emerged: high- (12%), middle- (27%) and low- (41%) generalised humanisers, high-SES dehumanisers (6%) and hierarchylegitimisers (13%). At the societal level, we identified three profiles: assimilators (52%), indifferents (7%) and unsettled (41%).Adherence to these profiles appeared to be influenced by participants' socioeconomic backgrounds or system justification andmeritocracy, with profiles differing in their demand for social change. We discuss the applied relevance of mapping dehumani-sation tendencies on the design of targeted interventions.
    Palabras clave
    Dehumanisation
    Latent profiles
    Multilevel
    Socioeconomic status
    Materia
    Estatus social
    Social status
    Clases sociales
    Social classes
    URI
    https://hdl.handle.net/10259/11590
    Versión del editor
    https://doi.org/10.1002/casp.70240
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