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Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Dataset Directory: Dataset Profile


Dataset: Rehabilitation Services Administration 911 file (RSA-911)

Basic Information
Dataset full name: Rehabilitation Services Administration 911 file
Dataset acronym RSA-911
Summary The Rehabilitation Services Administration case service report dataset (RSA-911) is based on administrative annual data collected by Vocational Rehabilitation (VR) offices in each state on clients with closed cases. It is intended to provide a description of accomplishments and progress made under the Rehabilitation Act of 1973. RSA-911 data includes information regarding demographics, disability, interventions, reason for case closure, employment status, sources of financial support. Some limited work-related information (e.g. income, hours worked per week, etc.) is reported at both application for services and at closure.
Key Terms Rehabilitation Services Administration, RSA, Vocational Rehabilitation, VR, Closed cases, Status 26
Study Design Cross Sectional
Data Type(s) Administrative
Sponsoring Agency/Entity Department of Education (DOE): Rehabilitation Services Administration (RSA)
Health conditions/Disability measures
Health condition(s) NA
Disability Measures Primary and Secondary disability identified of the following types:
Blindness, Visual impairment, Deafness, Hearing impairment, Deaf-Blindness, Communication impairment, Mobility orthopedic/neurological impairments, Manipulation/dexterity orthopedic/neurological impairments, Both mobility and manipulation/dexterity orthopedic/neurological impairments, Other orthopedic impairments (e.g., limited range of motion), Respiratory impairments, General physical debilitation (fatigue, weakness, pain, etc.), Other physical impairments, Cognitive impairments, Psychosocial impairments (interpersonal and behavioral impairments, difficulty coping), Other mental impairments
Measures/outcomes of interest
Topics VR services provided, Type of closure, Employment, Occupation, Competitive employment, Earnings, Public support (SSI, SSDI, TANF)
Sample
Sample Population All closed state VR cases
Sample Size/Notes 589,773 closed VR cases (2011)
Unit of Observation Individual
Geographic Coverage United States
Geographic specificity State/territory
Data Collection
Data Collection Mode Administrative records
Years Collected 1978-current
Data Collection Frequency Annual
Strengths and limitations
Strengths Large sample size - includes records for every VR applicant closed case within a year. Includes data for all 50 states, DC and territories. Relatively detailed primary and secondary disability types, education and employment information as well as services received and the related costs. Includes closure code for all possible outcomes for an applicant for VR service provision.
Limitations Only includes closed cases served by state VR. Individuals may have several case closures within a single fiscal year resulting in multiple cases per client. Closures may occur the same year as application or several years afterwards. Eligibility may vary between states especially those under"order of selection." Some changes have occurred over time in RSA coding schemes.
Data details
Primary Website http://www2.ed.gov/rschstat/eval/rehab/911-data.html (Official Website)
Data Access https://rsa.ed.gov/request_access.cfm
Data Access Requirements Data Use agreement, No Cost
Summary Tables/reports https://rsa.ed.gov/index.cfm
Dataset components (where applicable) NA
Selected papers
Technical Reporting Manual for the Case Service Report (RSA-911) - data elements and codes:
http://www2.ed.gov/policy/speced/guid/rsa/pd-04-04.pdf
Other Papers Dutta, A. Gervey, R., Chan, F. Chou, CC. (2008) Vocational rehabilitation services and employment outcomes for people with disabilities: a United States study. Journal of Occupational Rehabilitation 18 pp 326-334.:
http://link.springer.com/article/10.1007/s10926-008-9154-z#page-1



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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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