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Psychometric properties of the self‐sufficiency matrix among homeless and vulnerably housed individuals and families

Bibliographic Data

ID11044047
AuthorsCamilla Cummings (0000-0002-7490-0082, DePaul University, corresponding author), Molly Brown (0000-0002-7515-6582, DePaul University)
Year2019
Volume47
Issue4
Pages979-994
Publication date2019-05-01
Open AccessYes
TypeARTICLE
VenueJournal of Community Psychology (JOURNAL)
Journal identifiersISSN: 0090-4392 • E-ISSN: 1520-6629
PublisherWiley (PUBLISHER • GB)
DOI10.1002/jcop.22167
PMID30771279
OpenAlexW2913965191
LanguageEN
Citations received4
References cited16

Homeless service systems have been implementing assessment tools to inform service provision for individuals and families. Although a variety of assessments are available, their psychometric evidence base is limited. The self‐sufficiency matrix (SSM) is one assessment that demonstrates promising reliability and validity. However, the SSM's factor structure has been inconsistent across studies. This study explored the factor structure of the SSM, using exploratory factor analysis and confirmatory factor analysis in a sample of individuals ( N = 427) and families ( N = 428) at risk of or experiencing homelessness. Data were derived from a midwestern city's Homeless Management Information System and included all participants from the Homelessness Prevention and Rapid Re‐Housing Program. Results suggest the SSM is multidimensional and the factor structure differs across individuals and families. Additionally, the SSM demonstrates measurement invariance across racial and gender groups. Further development and testing of the SSM is necessary to better serve individuals experiencing homelessness

Confirmatory factor analysis · Exploratory factor analysis · Psychometrics · Reliability (semiconductor) · Statistics · Structural equation modeling · Applied Psychology · Clinical Psychology · Food Security and Health in Diverse Populations · Homelessness and Social Issues · Mathematics · Medicine · Psychology · Urban, Neighborhood, and Segregation Studies · Gerontology

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Citations per year1
Citation span2022 - 2023 (2)
Highly citedNo

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