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Assessing the Measurement and Structure of Material Hardship in the United States

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Title: Assessing the Measurement and Structure of Material Hardship in the United States
Language: English
Authors: Carle, Adam C., Bauman, Kurt J., Short, Kathleen
Source: Social Indicators Research. May 2009 92(1):35-51.
Availability: Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Peer Reviewed: Y
Page Count: 17
Publication Date: 2009
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Community Services, Neighborhoods, Housing, Poverty, Surveys, Crime, Evaluation, Well Being
Geographic Terms: United States
DOI: 10.1007/s11205-008-9287-7
ISSN: 0303-8300
Abstract: Previous attempts to measure material well-being or hardship have not made clear the relationship of individual items to the broader concept of hardship. The current study used the Survey of Income and Program Participation (SIPP), a large-scale U.S. survey with a large number of questions on the material circumstances of households to create a measurement model of hardship that takes this relationship into account. A higher-order model with five-first-order factors: consumer durables, resources available to meet needs, housing conditions, neighborhood problems and crime, and community services, and a single second-order factor "hardship" fit the data well, with the "Housing" and "Neighborhood" first-order factors most strongly related to the higher-order hardship construct. Desppove te our attempts to tie the hardship measures to objective conditions, subjective evaluations were strongly related to most of the factors.
Abstractor: As Provided
Entry Date: 2009
Accession Number: EJ834515
Database: ERIC
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  Data: Assessing the Measurement and Structure of Material Hardship in the United States
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  Data: <searchLink fieldCode="AR" term="%22Carle%2C+Adam+C%2E%22">Carle, Adam C.</searchLink><br /><searchLink fieldCode="AR" term="%22Bauman%2C+Kurt+J%2E%22">Bauman, Kurt J.</searchLink><br /><searchLink fieldCode="AR" term="%22Short%2C+Kathleen%22">Short, Kathleen</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Social+Indicators+Research%22"><i>Social Indicators Research</i></searchLink>. May 2009 92(1):35-51.
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  Data: Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
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  Data: 17
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  Data: Journal Articles<br />Reports - Evaluative
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  Data: <searchLink fieldCode="DE" term="%22Community+Services%22">Community Services</searchLink><br /><searchLink fieldCode="DE" term="%22Neighborhoods%22">Neighborhoods</searchLink><br /><searchLink fieldCode="DE" term="%22Housing%22">Housing</searchLink><br /><searchLink fieldCode="DE" term="%22Poverty%22">Poverty</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Crime%22">Crime</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation%22">Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Well+Being%22">Well Being</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
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  Data: 10.1007/s11205-008-9287-7
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  Data: Previous attempts to measure material well-being or hardship have not made clear the relationship of individual items to the broader concept of hardship. The current study used the Survey of Income and Program Participation (SIPP), a large-scale U.S. survey with a large number of questions on the material circumstances of households to create a measurement model of hardship that takes this relationship into account. A higher-order model with five-first-order factors: consumer durables, resources available to meet needs, housing conditions, neighborhood problems and crime, and community services, and a single second-order factor "hardship" fit the data well, with the "Housing" and "Neighborhood" first-order factors most strongly related to the higher-order hardship construct. Desppove te our attempts to tie the hardship measures to objective conditions, subjective evaluations were strongly related to most of the factors.
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  Data: 2009
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