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Rehabilitation Dataset Directory: Dataset Profile


Dataset: Survey of Income and Program Participation (SIPP)

Basic Information
Dataset full name: Survey of Income and Program Participation
Dataset acronym SIPP
Summary The Survey of Income and Program Participation (SIPP) is nationally representative longitudinal panel survey conducted by United States Census Bureau. It collects a wide variety of information including source and amount of income, labor force information, program participation and eligibility data, and general demographic characteristics including a wide variety of health and disability measures. It measures the effectiveness of existing federal, state, and local programs, estimates future costs and coverage for government programs, such as food stamps. The SIPP provides statistics on the distribution of income and measures of economic well-being in the U.S. This survey was fielded in the years: 1984-current (Quarterly).
Key Terms Program participation, program eligibility
Study Design Longitudinal
Data Type(s) Survey
Sponsoring Agency/Entity U.S. Census Bureau
Health conditions/Disability measures
Health condition(s) Aids, Arthritis, Cancer, Cardiac disorders, Carpal Tunnel, Diabetes, Epilepsy, Missing limbs/hand/finger/feet, Multiple sclerosis, Paralysis, Spinal Cord Injury (SCI), Stroke, Traumatic Brain Injury (TBI)
Disability Measures Visual disability, Hearing disability, Learning disability, Speech impairment, Functional limitations (ADLs & IADLs)
Measures/outcomes of interest
Topics source and amount of income, labor force information, program participation and eligibility data, healthcare access, utilization, costs and insurance, general demographic characteristics
Sample
Sample Population Noninstitutionalized individuals, includes all household members ages 15 or older.
Sample Size/Notes 2004 panel: 46,500 households
Unit of Observation Individual
Geographic Coverage National
Geographic specificity National
Data Collection
Data Collection Mode In-person and telephone based interviews
Years Collected 14 separate panels begun in: 2008, 2004, 2001, 1996, 1993, 1992, 1991, 1990, 1989, 1988, 1987, 1986, 1985, 1984
Data Collection Frequency Quarterly panel survey
Strengths and limitations
Strengths Relatively large sample size and detailed questions allows analysis of lower prevalence disabilities. Topical modules include detailed questions regarding health, functional limitation status, and medical history. Modules of special interest: · The Functional Limitations and Disability module · The Work Disability History module · The Medical Expense and Work Disability module · The Health and Disability and Health Status and Utilization of Health Services module. Because the Functional Limitations and Disability module is repeated, the measures can be used to examine health status over time.
Limitations Sample attrition over panel waves, especially between first and second panels.
Data details
Primary Website http://www.census.gov/sipp/
Data Access CENSUS: http://www.census.gov/programs-surveys/sipp.html
ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4517
ICPSR includes additional value added information for researchers
Data Access Requirements Public Use Dataset
Summary Tables/reports http://www.census.gov/prod/2012pubs/p70-131.pdf
Dataset components (where applicable) Core, Topical modules, ** Multiple panels, years, waves within panels, and related replicate weight files
Selected papers
Technical http://digitalcommons.ilr.cornell.edu/edicollect/1195/
Other Papers



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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).

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