Abstract

Abstract Purpose Applying an intersectional approach to the analysis of nationally representative population data collected through the National Health Interview Survey (NHIS), this chapter attempts to address the congruence between functional status (disability) and other relevant socio-demographic background variables (gender, race, self-reported health status, etc.) that may potentially result in disparate access to education and employment. Methodology Disability is defined and measured using the six American Community Survey (ACS) disability questions. Disability, intersectionality, and equalization of opportunities are assessed in a representative sample of the U.S. adult population as measured on the 2010 NHIS. Data on approximately 32,000 adults age 18 years and over are used to explore, using multivariate techniques, the intersection between disability, age, gender, race/ethnicity, marital status, health insurance, and reported health status, and education and employment outcomes. Findings The results presented describe a disparity in outcomes of education and employment between disabled and nondisabled adults when controlling for several important background and socio-demographic variables. Exploring the relationships between these variables provides a richer understanding of disability as it exists within the social world. Research implications In order to further improve our understanding of the population dynamics of disability, disability data must be routinely incorporated into national statistics programs. The ACS questions provide a common approach to the definition and measurement of disability within the Federal Statistical System.

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