Journal Article Details
Citation:
Brinck, E.A.; Brehmer, C.E.; Bishop, M.; Meyer, J.S.; Tansey, T.N.; & Anderson, C.A. (2026). Data-driven Approaches to Evaluate the Impact of Technical Assistance.
Journal of Vocational Rehabilitation, 64
(2),
126-134.
Title:
Data-driven Approaches to Evaluate the Impact of Technical Assistance
Authors:
Brinck, E.A.; Brehmer, C.E.; Bishop, M.; Meyer, J.S.; Tansey, T.N.; & Anderson, C.A.
Year:
2026
Journal/Publication:
Journal of Vocational Rehabilitation
Publisher:
Sage Journals
DOI:
Full text:
Peer-reviewed?
Yes
NIDILRR-funded?
No
Structured abstract:
Background:
The Vocational Rehabilitation Technical Assistance Center for Quality Employment (VRTAC-QE) uses a data-driven approach to analyze the efficacy of its website (https://tacqe.com). The center also employs a management information system (MIS) with RSA-911 data to enable interagency data sharing through the Salesforce platform.
Purpose:
VRTAC-QE uses quantitative methods to identify the usage and efficacy of its website, and the MIS provides access to large data sets that can measure impact in vocational rehabilitation (VR). These quantitative measures are in line with the Government Performance and Results Act (GPRA).
Data collection & analysis:
Quantify website usage by tabulating user statistics, state rehabilitation service agencies (SVRA) participation, and employing longitudinal analysis to determine the efficacy of technical assistance (TA) among participating parties.
Findings:
Quantitative results show that the VRTAC-QE digital resources are utilized above target goals, and that participating SVRAs benefit from TA, as longitudinal data shows an increase in positive employment status at VR exit during the project period.
Conclusions:
Data-driven approaches identify where VR efforts are successful, and the adoption of MIS architecture promotes wider access to large data sets among professionals, enhancing and standardizing data.