Advantaged identity management strategies differentiate five subgroups of white Americans

The United States is experiencing significant social change, compelling white Americans to grapple more directly with their white identity. This paper examines how white Americans manage their identity amidst societal shifts using a recently developed measure of advantaged identity management, representative data (N = 2648), and latent profile analysis. The findings reveal five subgroups of white Americans, each managing their identity differently. Four profiles correspond to the main advantaged identity management strategies (defend (n = 251), deny (n = 528), distance (n = 694), dismantle (n = 612)), with a fifth using strategies flexibly (n = 563). We examined how valuing hierarchy, meritocracy, and egalitarianism predicted membership in these subgroups, and most of our predictions about how these values would predict membership were supported. These profiles show contrasting attitudes toward social change, with defender-deniers opposing, denier-distancers moderately opposing, distancers remaining neutral, and dismantlers supporting change. These findings provide empirical evidence for a recently theorized model of white identity management and suggest that how white Americans manage their identity has important implications for social change.

Authors

Institutions

Publication Details

Journal
Communications Psychology
Published
2025-04-11
DOI
https://doi.org/10.1038/s44271-025-00239-0
Citations
3
Primary Topic
Racial and Ethnic Identity Research
Type
article
Field-Weighted Citation Impact
12.60

Funders

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

Advantaged identity management strategies differentiate five subgroups of white Americans

Eran Halperin, Eric D. Knowles, Eric Shuman
3 citations
Communications Psychology
Racial and Ethnic Identity Research
12.60
article

Advantaged identity management strategies differentiate five subgroups of white Americans

Eran Halperin, Eric D. Knowles, Eric Shuman
article en
3 citations

Abstract

The United States is experiencing significant social change, compelling white Americans to grapple more directly with their white identity. This paper examines how white Americans manage their identity amidst societal shifts using a recently developed measure of advantaged identity management, representative data (N = 2648), and latent profile analysis. The findings reveal five subgroups of white Americans, each managing their identity differently. Four profiles correspond to the main advantaged identity management strategies (defend (n = 251), deny (n = 528), distance (n = 694), dismantle (n = 612)), with a fifth using strategies flexibly (n = 563). We examined how valuing hierarchy, meritocracy, and egalitarianism predicted membership in these subgroups, and most of our predictions about how these values would predict membership were supported. These profiles show contrasting attitudes toward social change, with defender-deniers opposing, denier-distancers moderately opposing, distancers remaining neutral, and dismantlers supporting change. These findings provide empirical evidence for a recently theorized model of white identity management and suggest that how white Americans manage their identity has important implications for social change.

Communications PsychologyVol. 3(1)
Harvard University (US), Hebrew University of Jerusalem (IL), New York University (US)
United States - Israel Binational Science Foundation, Nutrition Obesity Research Center, University of North Carolina
Reduced inequalities
Openalex Percentile: Top 2%
Racial and Ethnic Identity Research
12.60
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.