Date of Award:
5-2025
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mathematics and Statistics
Committee Chair(s)
Brennan L. Bean
Committee
Brennan L. Bean
Committee
Brian Phillips
Committee
Kady Schneiter
Abstract
Since 1973, the U.S. Rehabilitation Services Administration (RSA) has partnered with state vocational rehabilitation (VR) agencies to help individuals with disabilities achieve meaningful employment and independence. RSA-911 datasets play a crucial role in this effort by capturing detailed participant data, but their complexity can hinder effective analysis.
To simplify this process, we present an R software package to streamline the cleaning and analysis of RSA-911 and Transition Readiness Toolkit (TRT) data, a new measure of program effectiveness. We also deliver a user-friendly dashboard, empowering both VR researchers and counselors with the opportunity to conduct analyses. Using our developed tools, we explore the relationships between RSA-911 and TRT data, providing insights into the expanding TRT initiative.
Together, our tools enhance efficiency, accessibility, and reproducibility in VR data analysis. Freely available and compatible with any RSA-911 and TRT dataset, our software provides a flexible framework for VR research, fostering consistency and adaptability while supporting future studies.
Checksum
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Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License.
Recommended Citation
Taylor, Ruth E., "Designing Accessible and Dependable Tools for Vocational Rehabilitation Data Analysis" (2025). All Graduate Theses and Dissertations, Fall 2023 to Present. 421.
https://digitalcommons.usu.edu/etd2023/421
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