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A Latent Class Analysis of Personality Traits in Adults Experiencing Homelessness

Bibliographic Data

ID6452682
AuthorsNathaniel A Dell (0000-0003-3055-6301, Department of Psychiatry, School of Medicine, Washington University in St. Louis Nathaniel A. Dell, PhD, LCSW, is assistant professor, , 660 South Euclid Avenue, Saint Louis, MO 63110, USA), Michael A Mancini (0000-0003-3741-9465, Saint Louis University), Michael Mancini (School of Social Work, Saint Louis University Michael Mancini, PhD, is associate professor, , Saint Louis, MO, USA), Michael G Vaughn (0009-0003-1189-8610, College of Public Health and Social Justice, Saint Louis University Michael G. Vaughn, PhD, is professor and associate dean of research, , Saint Louis, MO, USA), Brandy R Maynard (0000-0002-9356-7318, School of Social Work, Saint Louis University Brandy R. Maynard, PhD, is professor and associate dean of academic affairs, , Saint Louis, MO, USA), Jin Huang (0000-0002-2833-8041, College of Public Health and Social Justice, Saint Louis University Jin Huang, PhD, is professor, , Saint Louis, MO, USA)
Year2025
Volume49
Issue2
Pages119-130
Publication date2025-03-11
Open AccessYes
TypeARTICLE
VenueSocial Work Research (JOURNAL)
Journal identifiersISSN: 1545-6838 • E-ISSN: 1070-5309
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/swr/svaf004
PMID40433047
OpenAlexW4409148923
LanguageEN
References cited49

This study distinguishes clinically and theoretically meaningful subgroups of people experiencing homelessness based on their endorsement of personality difficulties, using nationally representative data of the civilian, noninstitutionalized population of the United States, inclusive of those reporting past-year homelessness (N = 704). A bias-adjusted three-step latent class analysis was used to estimate latent class measurement models; classify cases into the optimal class solution; and, using a maximum likelihood method, test the association between demographic and behavioral health covariates with class membership. Results show that the four-class solution was optimal. The largest class (35.44%) had high probability of endorsing each personality difficulty and had high rates of behavioral health disorders. The second class (26.51%) had higher levels of antisocial traits and greater probability of endorsing substance use disorders relative to third and fourth classes. The third-largest class showed minimal personality difficulties (24.40%) and had the lowest probability of meeting criteria for each behavioral health disorder considered. The final class showed high levels of relational instability and identity diffusion (13.65%) and had higher levels of mood and anxiety disorders and suicide attempt relative to second and third classes. In conclusion, personality difficulties are commonly endorsed by adults experiencing homelessness and show differential relationships to behavioral health conditions

Antisocial personality disorder · Anxiety · Differential item functioning · Injury prevention · Item response theory · Latent class model · Mental health · Mood · Personality · Poison control · Population · Psychiatry · Psychometrics · Social class · Gambling Behavior and Treatments · Homelessness and Social Issues · Medicine · Personality Disorders and Psychopathology · Psychology · Clinical Psychology · Demography · Social Psychology

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