Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices

Authors

Amy Jane Griffiths, Chapman UniversityFollow
Amy E. Hurley Hanson, Chapman UniversityFollow
Cristina M. Giannantonio, Chapman UniversityFollow
Sneha Kohli Mathur, Chapman UniversityFollow
Kayleigh Hyde, Chapman UniversityFollow
Erik Linstead, Chapman UniversityFollow

Document Type

Article

Publication Date

9-11-2020

Abstract

An online survey instrument was developed to assess employers’ perspectives on hiring job candidates with Autism Spectrum Disorder (ASD). The investigators used K-means clustering to categorize companies in clusters based on their hiring practices related to individuals with ASD. This methodology allowed the investigators to assess and compare the various factors of businesses that successfully hire employees with ASD versus those that do not. The cluster analysis indicated that company structures, policies and practices, and perceptions, as well as the needs of employers and employees, were important in determining who would successfully hire individuals with ASD. Key areas that require focused policies and practices include recruitment and hiring, training, accessibility and accommodations, and retention and advancement.

Comments

This article was originally published in Brain Sciences, volume 10, issue 9, in 2020. https://doi.org/10.3390/brainsci10090632

Recommended Citation

Griffiths, A. J., Hanson, A. H., Giannantonio, C. M., Mathur, S. K., Hyde, K., & Linstead, E. (2020) Developing employment environments where individuals with ASD thrive: Using machine learning to explore employer policies and practices. Brain Sciences, 10(9), 632. https://doi.org/10.3390/brainsci10090632

Peer Reviewed

1

Copyright

The authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.