The effects of perspective‐taking on multiple dimensions of discrimination: Can one size fit all?

Abstract Perspective‐taking reduces discrimination, but research has taken a one‐size‐fits‐all approach, focusing on single attributes triggering discrimination, particularly ethnic origin, and has paid insufficient attention to heterogeneous treatment effects. Our study asks: How effective is perspective‐taking across different traits triggering discrimination, including gender, age, and profession, and how effective is it among individuals with strongly principled attitudes? We develop a conjoint experiment for a sample in Germany to measure discrimination through participants assessing the allocation of administrative help to non‐national EU citizens seeking social benefits. We apply a perspective‐taking treatment, randomly allocating participants to envision relocating abroad and needing to deal with local bureaucracies. Our results confirm that perspective‐taking is less effective for principled individuals, such as respondents with strong anti‐immigrant attitudes. Additionally, while the treatment reduced discrimination based on nationality, it inadvertently increased bias for attributes such as gender and profession. Further analysis suggests that these side effects are tied to the associations participants have when undertaking the task. Researchers should consider the associations respondents report after engaging with treatments as a source of heterogeneous treatment effects.

Authors

Institutions

Publication Details

Journal
Political Psychology
Published
2025-12-26
DOI
https://doi.org/10.1111/pops.70101
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

The effects of perspective‐taking on multiple dimensions of discrimination: Can one size fit all?

Xavier Fernández‐i‐Marín, Anita Manatschal, Carolin Hjort Rapp, Christian Adam et al.
Political Psychology
Social and Intergroup Psychology
article

The effects of perspective‐taking on multiple dimensions of discrimination: Can one size fit all?

Xavier Fernández‐i‐Marín, Anita Manatschal, Carolin Hjort Rapp, Christian Adam, Oliver James
article en

Abstract

Abstract Perspective‐taking reduces discrimination, but research has taken a one‐size‐fits‐all approach, focusing on single attributes triggering discrimination, particularly ethnic origin, and has paid insufficient attention to heterogeneous treatment effects. Our study asks: How effective is perspective‐taking across different traits triggering discrimination, including gender, age, and profession, and how effective is it among individuals with strongly principled attitudes? We develop a conjoint experiment for a sample in Germany to measure discrimination through participants assessing the allocation of administrative help to non‐national EU citizens seeking social benefits. We apply a perspective‐taking treatment, randomly allocating participants to envision relocating abroad and needing to deal with local bureaucracies. Our results confirm that perspective‐taking is less effective for principled individuals, such as respondents with strong anti‐immigrant attitudes. Additionally, while the treatment reduced discrimination based on nationality, it inadvertently increased bias for attributes such as gender and profession. Further analysis suggests that these side effects are tied to the associations participants have when undertaking the task. Researchers should consider the associations respondents report after engaging with treatments as a source of heterogeneous treatment effects.

Political Psychology
University of Copenhagen (DK), Zeppelin Universität gemeinnützige GmbH (DE), University of Exeter (GB), Barcelona Graduate School of Mathematics (ES), University of Neuchâtel (CH), Universitat de Barcelona (ES)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Gender equality
Openalex Percentile: Top 23%
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.