SPIE: An organizational framework to facilitate accessibility in academic statistical consulting centers
Marianne Huebner, Michael Wallace, Felesia Stukes, Sam Manski, Maria Montez-Rath

TL;DR
This paper introduces an organizational framework to improve accessibility in academic statistical consulting by addressing communication and cognitive barriers for all clients.
Contribution
The novel contribution is an accessibility-focused organizational framework for statistical consulting aligned with Universal Design for Learning principles.
Findings
Adapting Universal Design for Learning principles improves client and consultant experiences in statistical consulting.
Creating an inclusive environment normalizes differences and fosters a sense of belonging for all participants.
Assessing individual needs leads to better statistical support and successful research outcomes.
Abstract
Academic statistical consulting centers collaborate and provide statistical support to faculty and graduate students for their research projects. Clients seeking statistical support may face communication and cognitive accessibility barriers that consultants may not be aware of. Many researchers do not disclose their personal circumstances, such as neurodivergent behaviors. Universal Design for Learning is a framework that aims to support individuals regardless of their abilities or learning styles, by providing multiple means of engagement, presentation, and action and expression. Adapting these principles for statistical consulting and taking time to assess specific needs of individuals helps improve the experiences of clients and consultants and leads to high quality statistical support and successful completion of research projects. We propose an organizational framework applicable…
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Taxonomy
TopicsData Analysis with R · Digital Accessibility for Disabilities · Statistics Education and Methodologies
