RT info:eu-repo/semantics/article
T1 Identifying Population Groups Based on Humanity Attribution to Low‐, Middle‐ and High‐Socioeconomic Status Groups: A Multilevel Latent Profile Analysis
A1 Sainz, Mario
A1 Martínez, Rocío
A1 Muelas Lobato, Roberto
K1 Dehumanisation
K1 Latent profiles
K1 Multilevel
K1 Socioeconomic status
K1 Estatus social
K1 Social status
K1 Clases sociales
K1 Social classes
AB 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.
PB Wiley
SN 1052-9284
YR 2026
FD 2026-03
LK https://hdl.handle.net/10259/11590
UL https://hdl.handle.net/10259/11590
LA eng
NO This publication is part of the I+D+i project ‘Antecedentes, Manifestaciones y Consecuencias del Clasismo Ambivalente’ (PID2022- 136736NA-I00) funded by MCIN/AEI/10.13039/501100011033 and FEDER ‘A way to make Europe’ grants to Mario Sainz. This work was also supported by the Grants PID2022-140252NB-I00 and PID2022- 140048NB-I00 funded by MCIN/AEI/10.13039/501100011033, NORFACE Joint Research Programme on Democratic Governance in a Turbulent Age and co-funded by the Agencia Estatal de Inventigación [AEI, PCI2020-112285; PID2019-105643GB-I00] and the European Commission through Horizon 2020 Framework Programme under grant agreement No. 822166.
DS Repositorio Institucional de la Universidad de Burgos
RD 28-may-2026