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Methodological note: allocation of disability items in the American Community Survey
Carlos Siordia1, Rebekah Young
1Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX 77555, USA. Carlos.Siordia@utmb.edu
Allocation procedures in disability surveys show patterns. Results suggest that how missing data is handled can impact research findings on disability prevalence and correlates.
Area of Science:
- Survey methodology
- Disability research
- Data analysis
Background:
- Prevalence and correlates of disability are determined using sample surveys.
- Allocation procedures are common for handling missing or inconsistent survey responses to create complete datasets.
Purpose of the Study:
- To examine how six disability-related questions differ in allocation rates.
- To assess the sensitivity of research findings to data allocation procedures, particularly for non-methodologists using large disability datasets.
Main Methods:
- Utilized 2010 1-year Public Use Microdata Sample files from the American Community Survey (ACS).
- Investigated allocation rates for self-care, hearing, vision, independent living, ambulatory, and cognitive ability disability items.
- Analyzed variations in allocation rates by demographic characteristics and potential influence on multivariate results.
Main Results:
- Detectable patterns exist in disability item allocation within ACS data.
- Higher allocation rates were observed for mail surveys, males, older individuals, non-English proficient groups, US citizens, Latinos, and those in or near poverty.
- Multivariate models may be sensitive to the treatment of allocated values.
Conclusions:
- Allocation rates vary based on demographic variables, methodological procedures, and survey participation behaviors.
- The potential impact of allocation rates on research and policy concerning the disabled population necessitates further investigation.
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