Applying Data Science Practices to Identify Characteristics of Postsecondary Autism Support Programs From Their Websites
The bi-directional change in the number of ASPs shows that this is an evolving field, requiring automated tools to enable regular updates to data. Although it is promising that a relative handful of U.S. schools have established these programs, a large majority of post-secondary institutions have not, and for those that host them, barriers to access exist, including the necessity of an ASD diagnosis, coupled with up-front and ongoing costs.
Authors
- Michael West (ORCID: https://orcid.org/0000-0002-6203-8712)
- Matt Tincani (ORCID: https://orcid.org/0000-0003-4829-6907)
- Eduard Dragut (ORCID: https://orcid.org/0000-0002-3103-054X)
- Sung-Soo Hong (ORCID: https://orcid.org/0000-0001-6050-5404)
- Slobodan Vučetić (ORCID: https://orcid.org/0000-0001-5884-6293)
- Donald A. Hantula (ORCID: https://orcid.org/0000-0001-8954-9152)
Institutions
- George Mason University (US)
- Temple University (US)
Publication Details
- Journal
- Journal of Autism and Developmental Disorders
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1007/s10803-025-07065-7
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation