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Social Indicators Research

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01.12.2009

Measuring Material Hardship among the US Population of Women with Disabilities Using Latent Class Analysis

verfasst von: Roderick A. Rose, Susan L. Parish, Joan P. Yoo

Erschienen in: Social Indicators Research | Ausgabe 3/2009

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Abstract

We use data from the 2002 wave of the National Survey of America’s Families to develop and validate discrete measures of material hardship that can be used to examine the difficulties that vulnerable populations such as people with disabilities have in making ends meet. Using latent class analysis, we estimate two measurement models: multidimensional and omnibus. The multidimensional model provides separate estimates for food, medical, and housing and utilities hardship. The omnibus model is a single model of 11 hardship indicators. Results show three distinct classes of food hardship, three classes of medical hardship, and two classes of housing/utilities hardship. The omnibus model reveals eight classes. Both the multidimensional and omnibus models are largely invariant between women with disabilities and women without disabilities, indicating that valid comparisons can be made between these populations using these classes of hardship. These classes can be utilized in further research on the hardship of women with disabilities to inform the development of policies targeted to alleviate the specific forms of hardship experienced by disabled women.

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Abi-Habib, N., Safir, A., & Triplett, T. (2004). NSAF public use file user’s guide. Report no. 11 in the 2002 national survey of America’s families methodology series, Washington, DC: Urban Institute. http://www.urban.org/url.cfm?ID=900760.

Aday, L. A., & Andersen, R. M. (1981). Equity of access to medical care: A conceptual and empirical overview. Medical Care, 19(Suppl), 4–27. doi:10.1097/00005650-198112001-00004.CrossRef

Aday, L. A., & Andersen, R. M. (1984). The national profile of access to medical care: Where do we stand? American Journal of Public Health, 74, 1331–1339. doi:10.2105/AJPH.74.12.1331.CrossRef

Ashiabi, G. S., & O’Neal, K. K. (2007). Children’s health status: Examining the associations among income poverty, material hardship, and parental factors. PLoS ONE, 2(9), e940. doi:10.1371/journal.pone.0000940.CrossRef

Atkinson, A. B., & Bourguignon, F. (1982). The comparison of multi-dimensioned distributions of economic status. The Review of Economic Studies, 49(2), 183–201. doi:10.2307/2297269.CrossRef

Ayala, L., & Navarro, C. (2004). Multidimensional indices of housing deprivation with application to Spain, working papers 12-04. Instituto de Estudios Fiscales.

Bachman, H. J., & Chase-Lansdale, P. L. (2005). Custodial grandmothers’ physical, mental, and economic well-being: Comparisons of primary caregivers from low-income neighborhoods. Family Relations, 54(4), 475–487. doi:10.1111/j.1741-3729.2005.00334.x.CrossRef

Bauman, K. J. (1998). Direct measures of poverty as indicators of economic need: Evidence from the survey of income and program participation. Washington, DC: U. S. Census Bureau.

Bauman, K. J. (1999). Shifting family definitions: The effect of cohabitation and other nonfamily household relationships on measures of poverty. Demography, 36(3), 315–325. doi:10.2307/2648055.CrossRef

Bauman, K. J. (2000). Measurement of material well-being in the survey of income and program participation. Washington, DC: U. S. Census Bureau.

Bauman, K. J. (2002). Welfare, work, and material hardship in single parent and other households. Journal of Poverty, 6, 21–40. doi:10.1300/J134v06n01_02.CrossRef

Beresford, P. (1996). Poverty and disabled people: Challenging dominant debates and policies. Disability & Society, 11(4), 553–567. doi:10.1080/09687599627598.CrossRef

Beverly, S. G. (2000). Using measures of material hardship to assess well-being. Focus (San Francisco, Calif.), 21(2), 65–69.

Beverly, S. G. (2001). Material hardship in the United States: Evidence from the survey of income and program participation. Social Work Research, 25(3), 143–151.

Bourguignon, F., & Chakravarty, S. R. (2003). The measurement of multidimensional poverty. The Journal of Economic Inequality, 1, 25–49. doi:10.1023/A:1023913831342.CrossRef

Boushey, H., Brocht, C., Gundersen, B., & Bernstein, J. (2001). Hardship in America: The real story of working families. Washington, DC: Economic Policy Institute.

Boushey, H., & Gundersen, B. (2001). When working just isn’t enough: Measuring hardships faced by families after moving from welfare to work. Washington, DC: Economic Policy Institute.

Cancian, M., & Meyer, D. R. (2004). Alternative measures of economic success among TANF participants: Avoiding poverty, hardship, and dependence on public assistance. Journal of Policy Analysis and Management, 23(3), 531–548. doi:10.1002/pam.20025.CrossRef

Carle, A. C., Bauman, K. J., & Short, K. (2008). Assessing the measurement and structure of material hardship in the United States. Social Indicators Research. Retrieved September 20, 2008, from http://www.springerlink.com.libproxy.lib.unc.edu/content/650u514ppm80h635/fulltext.html.

Charles, K. K., Danziger, S., Pounder, L., & Schoeni, R. F. (2006). Consumption, income, and well-being among the mature population. Ann Arbor, MI: National Poverty Center.

Chen, F. F., Sousa, K. H., & West, S. G. (2005). Testing measurement invariance of second-order factor models. Structural Equation Modeling, 12, 471–492. doi:10.1207/s15328007sem1203_7.CrossRef

Claessens, S. (2006). Access to financial services: A review of the issues and public policy objectives. The World Bank Research Observer, 21(2), 207–240. doi:10.1093/wbro/lkl004.CrossRef

Corcoran, M. E., Helfin, C. M., & Siefert, K. (1999). Food insufficiency and material hardship in post-TANF welfare families. Ohio State Law Journal, 60, 1395–1422.

Danziger, S., Corcoran, M., Danziger, S., & Heflin, C. M. (2000). Work, income, and material hardship after welfare reform. The Journal of Consumer Affairs, 34(1), 6–30.CrossRef

Danziger, S., Heflin, C. M., Corcoran, M. E., Oltmans, E., & Wang, H.-C. (2002). Does it pay to move from welfare to work? Journal of Policy Analysis and Management, 21(4), 671–692. doi:10.1002/pam.10080.CrossRef

Desai, M., & Shah, A. (1988). An econometric approach to the measurement of poverty. Oxford Economic Papers, 40, 505–522.

Dewilde, C. (2004). The multidimensional measurement of poverty in Belgium and Britain: A categorical approach. Social Indicators Research, 68(3), 331–369. doi:10.1023/B:SOCI.0000033578.81639.89.CrossRef

Duclos, J. Y., Sahn, D. E., & Younger, S. D. (2006). Robust multidimensional poverty comparisons. The Economic Journal, 116, 943–968. doi:10.1111/j.1468-0297.2006.01118.x.CrossRef

Edin, K., & Lein, L. (1997). Making ends meet: How single mothers survive from welfare and low-wage work. New York, NY: Russell Sage Foundation.

Ehrle, J., & Moore, K. (1999). Benchmarking child and family well-being measures in the national survey of America’s families. Washington, DC: Urban Institute. Retrieved August 18, 2007, from http://www.urban.org/UploadedPDF/Methodology_6.pdf.

Eid, M., Langeheine, R., & Diener, E. (2003). Comparing typological structures across cultures by multigroup latent class analysis: A primer. Journal of Cross-Cultural Psychology, 34(2), 195–210. doi:10.1177/0022022102250427.CrossRef

Gassman-Pines, A., & Yoshikawa, H. (2006). Five-year effects of an anti-poverty program on marriage among never-married mothers. Journal of Policy Analysis and Management, 25(1), 11–30. doi:10.1002/pam.20154.CrossRef

Gershoff, E. T., Aber, J. L., Raver, C. C., & Lennon, M. C. (2007). Income is not enough: Incorporating material hardship into models of income associations with parenting and child development. Child Development, 78(1), 70–95. doi:10.1111/j.1467-8624.2007.00986.x.CrossRef

Giesbrecht, L. H., Kulp, D. W., & Starer, A. W. (1996). Estimating coverage bias in RDD samples with Current Population Survey data. In proceedings of the survey research methods section (pp. 503–508). Boston: American Statistical Association.

Grinstein-Weiss, M., & Sherraden, M. (2006). Racial differences in performances in a matched savings program. Journal of Income Distribution, 13(3–4), 98–111.

Haveman, R., Holden, K., Wolfe, B., Smith, P., & Wilson, K. (2000). The changing economic status of disabled women: 1982–1991. In D. S. Salkever & A. Sorkin (Eds.), The economics of disability (pp. 51–80). Stamford, CT: JAI Press.CrossRef

Heflin, C. M. (2006). Dynamics of material hardship in women’s employment study. The Social Service Review, 80(3), 377–397. doi:10.1086/505289.CrossRef

Hunter, T., & Santhiveeran, J. (2005). Experiences of material hardships among TANF leavers. Journal of Family Social Work, 9(1), 1–16. doi:10.1300/J039v09n01_01.CrossRef

Iceland, J., & Bauman, K. J. (2007). Income poverty and material hardship: How strong is the association? The Journal of Socio-Economics, 36, 376–396.CrossRef

Judkins, D., Brick, M. J., Broene, P., Ferraro, D., & Strickler, T. (2000). 1999 NSAF sample design: Report no. 2. Washington, DC: The Urban Institute Press.

Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2007). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 14, 671–694.

Layte, R., Maitre, B., Nolan, B., & Whelan, C. T. (2000). Persistent and consistent poverty: An analysis of the first two waves of the ECHP. European panal analysis group working paper 11.

Lee, B. J., Slack, K. S., & Lewis, D. A. (2004). Are welfare sanctions working as intended? Welfare receipt, work activity, and material hardship among TANF-recipient families. Social Service Review, 78(3), 370–403.CrossRef

Lerman, R. I. (2002a). How do marriage, cohabitation, and single parenthood affect the material hardship of families with children?. Washington, DC: Urban Institute.

Lerman, R. I. (2002b). Impacts of marital status and parental presence on the material hardship of families with children. Washington, DC: Urban Institute.

Loken, E. (2004). Using latent class analysis to model temperament types. Multivariate Behavioral Research, 39(4), 625–652. doi:10.1207/s15327906mbr3904_3.CrossRef

Long, S. K. (2003). Hardship among the uninsured: Choosing among food, housing and health insurance (new federalism, series B, B-54) (pp. 1–7). Washington, DC: Urban Institute.

Lovell, V., & Oh, G.-T. (2005). Women’s job loss and material hardship. Journal of Women, Politics & Policy, 3/4, 169–183. doi:10.1300/J501v27n03_12.

Lubke, G. H., Dolan, C. V., & Neale, M. C. (2004). Implications of absence of measurement invariance for detecting sex limitation and genotype by environment interaction. Twin Research, 7, 292–298. doi:10.1375/136905204774200578.CrossRef

Mayer, S. E., & Jencks, C. (1989). Poverty and the distribution of material hardship. The Journal of Human Resources, 24(1), 88–113. doi:10.2307/145934.CrossRef

McCutcheon, A. L., & Hagenaars, J. A. (1997). Comparative social research with multi-sample latent class analysis in comparative social research. In J. Rost & R. Langeheine (Eds.), Applications of latent trait and latent class models in the social sciences (pp. 266–277). Münster, Germany: Waxmann.

Meyer, M. K., & Lee, J. M. (2003). Working but poor: How are families faring? Children and Youth Services Review, 25(3), 177–201. doi:10.1016/S0190-7409(03)00002-1.CrossRef

Millsap, R. E., & Kwok, O. (2004). Evaluating the impact of partial factorial invariance on selection in two populations. Psychological Methods, 9, 93–115. doi:10.1037/1082-989X.9.1.93.CrossRef

Mirowsky, J., & Ross, C. E. (1999). Economic hardship across the life course. American Sociological Review, 64(4), 548–569. doi:10.2307/2657255.CrossRef

Muthén, B. O., & Muthén, L. (2004). Mplus user’s guide. Los Angeles: Muthén & Muthén.

Nolan, B., & Whelan, C. T. (1996). Measuring poverty using income and deprivation indicators: Alternative approaches. Journal of European Social Policy, 6(3), 225–240. doi:10.1177/095892879600600304.CrossRef

Norris, J., Scott, R., Speiglman, R., & Green, R. S. (2003). Homelessness, hunger, and material hardship among those who lost SSI. Contemporary Drug Problems, 30(1–2), 241–273.

Nylund, K. L., Asparouhov, T., & Muthén, B. (2007). Deciding on the number of classes inlatent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14, 535–569.

Ouellette, T., Burstein, N., Long, D., & Beecroft, E. (2004). Measures of material hardship: Final report. Washington, DC: U. S. Department of Health & Human Services, Office of the Assistant Secretary for Planning and Evaluation.

Parish, S. L., Rose, R. A., Andrews, M. E., Grinstein-Weiss, M., & Richman, E. L. (2008). Material hardship among U. S. families raising children with disabilities. Exceptional Children, 75(1), 71–92.

Parish, S. L., Rose, R. A., & Andrews, M. E. (2009). Income poverty and material hardship among U. S. women with disabilities. The Social Service Review (in press).

Perez-Mayo, J. (2005). Identifying deprivation profiles in Spain: A new approach. Applied Economics, 37(8), 943–955. doi:10.1080/00036840500060972.CrossRef

Rector, R. E., Johnson, K. A., & Youssef, S. E. (1999). The extent of material hardship and poverty in the United States. Review of Social Economy, 57(3), 351–387. doi:10.1080/00346769900000007.CrossRef

Reichman, N. E., Teitler, J. O., & Curtis, M. A. (2005). TANF sanctioning and hardship. The Social Service Review, 79(2), 215–236. doi:10.1086/428918.CrossRef

Reichman, N. E., Teitler, J. O., Garfinkel, I., & Garcia, S. (2004). Variations in maternal and child well-being among financially eligible mothers by TANF participation status. Eastern Economic Journal, 30(1), 101–118.

Renwick, T. J., & Bergmann, B. R. (1993). A budget-based definition of poverty, with an application to single-parent families. The Journal of Human Resources, 28(1), 1–24. doi:10.2307/146086.CrossRef

Safir, A., Scheuren, F., & Wang, K. (2000). Survey methods and data reliability, 1997 and 1999. Prepared for the Urban Institute. http://www.urban.org/url.cfm?ID=310567.

Schafer, J. L. (1997). Analysis of incomplete multivariate data. Boca Raton, FL: Chapman Hall/CRC.

Sen, A. K. (1999). Development as freedom. New York, NY: Knopf.

She, P., & Livermore, G. A. (2007). Material hardship, poverty, and disability among working-age adults. Social Science Quarterly, 88(4), 970–989. doi:10.1111/j.1540-6237.2007.00513.x.CrossRef

Short, K. (2005). Material and financial hardship and income-based poverty measures. Journal of Social Policy, 34(1), 21–38. doi:10.1017/S0047279404008244.CrossRef

Short, K., & Shea, M. (1995). Beyond poverty, extended measures of well-being: 1992. Current population reports, P70–50RV. Washington, DC: U. S. Census Bureau.

Steinmetz, E. (2006). Americans with disabilities: 2002. Current population reports P70–107, –32. Washington, DC: U. S. Census Bureau.

Sullivan, J. X., Turner, L., & Danziger, S. (2008). The relationship between income and material hardship. Journal of Policy Analysis and Management, 27(1), 63–81. doi:10.1002/pam.20307.CrossRef

Teitler, J. O., Reichman, N. E., & Nepomnyaschy, L. (2004). Sources of support, child care, and hardship among unwed mothers, 1999–2001. The Social Service Review, 78(1), 125–148. doi:10.1086/380770.CrossRef

Townsend, P. (1979). Poverty in the United Kingdom. London, Middlesex: Allan Lane.

Tsonaka, R., & Moustaki, I. (2007). Parameter constraints in generalized linear latent variable models. Computational Statistics & Data Analysis, 51(9), 4164–4177. doi:10.1016/j.csda.2006.04.023.CrossRef

Tsui, K. (1999). Multidimensional inequality and multidimensional generalized entropy measures: An axiomatic derivation. Social Choice and Welfare, 16, 145–157.CrossRef

van de Vijver, F., & Leung, K. (1996). Methods and data analysis of comparative research. In J. W. Berry, Y. H. Poortinga, & J. Pandey (Eds.), Handbook of cross-cultural psychology (2nd ed., Vol. 1, pp. 257–300). Chicago, IL: Allyn & Bacon.

van de Vijver, F., & Leung, K. (1997). Methods and data analysis for cross-cultural research. Thousand Oaks, CA: Sage.

Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–70.CrossRef

Wang, Q. (2005). Disability and american families: 2000. U. S. Bureau of Census, census 2000 special reports. Washington, D.C.: U. S. Department of Commerce.

Warren, P., & Cunningham, P. (2003, June). 2002 National Survey of America's Families telephone survey methods. http://www.urban.org/UploadedPDF/900693_2002_Methodology_9.pdf. Accessed 3 Apr 2008.

Yoo, J., Slack, K. S., & Holl, J. (2008). Material hardship and the physical health of school-aged children in low-income households. American Journal of Public Health, 98, First Look. Retrieved October 8, 2008, from http://www.ajph.org/cgi/reprint/AJPH.2007.119776v1.

Titel: Measuring Material Hardship among the US Population of Women with Disabilities Using Latent Class Analysis
verfasst von: Roderick A. Rose
Susan L. Parish
Joan P. Yoo
Publikationsdatum: 01.12.2009
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 3/2009
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-008-9428-z

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