Lay representations of social class: A mixed methods approach to wealth‐based group perceptions and stereotypes

People's perceptions of social classes may differ from scholars' definitions. We used a mixed method, sensitive to context, to examine lay perceptions of social classes in Spain. In Study 1 (N = 90), we conducted qualitative interviews to examine how people spontaneously characterize wealth-based groups. Participants identified between two and seven groups. We grouped these into five main analytical categories for analytical purposes: poor, lower and working classes, middle classes, upper classes and rich and beyond. These groups were described based on material characteristics, traits and culture. Positive traits were mainly associated with non-wealthy groups, especially the lower and working classes, while negative traits were associated with wealthy groups. In Studies 2 (N = 251) and 3 (N = 190), we extended these findings quantitatively, showing that positive stereotypes were associated with non-wealthy groups, whereas negative stereotypes were associated with wealthy groups. Using psychometric networks, non-wealthy groups were ascribed more positive traits-with some ambivalences-while wealthy groups were mainly described using negative traits. We confirmed this pattern of results through meta-analyses. These findings highlight the importance of lay perspectives in theoretical frameworks and the need for context-sensitive approaches in analysing social class representations.

Authors

Institutions

Publication Details

Journal
British Journal of Social Psychology
Published
2025-06-27
DOI
https://doi.org/10.1111/bjso.70003
Primary Topic
Social and Intergroup Psychology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lay representations of social class: A mixed methods approach to wealth‐based group perceptions and stereotypes

Efraín García‐Sánchez, Soledad de Lemus, Guillermo Byrd Willis, Ángel del Fresno‐Díaz et al.
British Journal of Social Psychology
Social and Intergroup Psychology
article

Lay representations of social class: A mixed methods approach to wealth‐based group perceptions and stereotypes

Efraín García‐Sánchez, Soledad de Lemus, Guillermo Byrd Willis, Ángel del Fresno‐Díaz, Elena Padial‐Rojas
article en

Abstract

People's perceptions of social classes may differ from scholars' definitions. We used a mixed method, sensitive to context, to examine lay perceptions of social classes in Spain. In Study 1 (N = 90), we conducted qualitative interviews to examine how people spontaneously characterize wealth-based groups. Participants identified between two and seven groups. We grouped these into five main analytical categories for analytical purposes: poor, lower and working classes, middle classes, upper classes and rich and beyond. These groups were described based on material characteristics, traits and culture. Positive traits were mainly associated with non-wealthy groups, especially the lower and working classes, while negative traits were associated with wealthy groups. In Studies 2 (N = 251) and 3 (N = 190), we extended these findings quantitatively, showing that positive stereotypes were associated with non-wealthy groups, whereas negative stereotypes were associated with wealthy groups. Using psychometric networks, non-wealthy groups were ascribed more positive traits-with some ambivalences-while wealthy groups were mainly described using negative traits. We confirmed this pattern of results through meta-analyses. These findings highlight the importance of lay perspectives in theoretical frameworks and the need for context-sensitive approaches in analysing social class representations.

British Journal of Social PsychologyVol. 64(3)
Universidad de Granada (ES), University of Gdańsk (PL), Institute of Psychology (PL), Stanford University (US)
Ministerio de Ciencia, Innovación y Universidades, Universidad de Granada, Agencia Estatal de Investigación
No poverty
Openalex Percentile: Top 80%
Social and Intergroup Psychology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.