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SPIE: An organizational framework to facilitate accessibility in academic statistical consulting centers

Published online by Cambridge University Press:  13 February 2026

Marianne Huebner*
Affiliation:
Statistics and Probability, Michigan State University, USA Center for Statistical Training and Consulting, Michigan State University, USA
Michael Wallace
Affiliation:
Department of Statistics and Actuarial Science, University of Waterloo, Canada
Felesia Stukes
Affiliation:
Department of Computer Science, Engineering, and Mathematics, Johnson C Smith University, USA
Sam Manski
Affiliation:
Data Innovation Lab, Tech Impact, USA
Maria Montez-Rath
Affiliation:
Quantitative Sciences Unit, Stanford University School of Medicine, USA Division of Nephrology, Stanford University, USA
*
Corresponding author: M. Huebner; Email: huebner@msu.edu
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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 to statistical consulting environments aligned with accessibility guidelines to improve access and empower clients and consultants. Providing a respectful environment where differences are normalized and welcomed creates a sense of belonging for everyone.

Information

Type
Special Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Association for Clinical and Translational Science
Figure 0

Table 1. Organizational framework for statistical consulting centers to support accessibility (SPIE)

Figure 1

Table 2. Effective communication and accessibility frameworks applied to statistical consulting environments

Figure 2

Table 3. A consultant’s strategies for helping clients