Leveling Up Regulatory Support Through Community Collaboration

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Laurent, A. C. & Fede, J. (2021). Leveling Up Regulatory Support Through Community Collaboration. Perspectives of the ASHA Special Interest Groups, 6(2), 288-305. https://doi.org/10.1044/2020_persp-20-00197

Publication date: 30 Jan 2021 Added to AutiHub: 13 Sep 2026 Type: Article Article language: English
Publisher source (DOI) OpenAlex source

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Authors

Publication authors
2
Publication authors identified as autistic
1 / 2 (50.0%)
  1. Amy C. Laurent
  2. Jacquelyn Fede *

Abstract

Purpose No group has more stake in the game than the community that researchers, educators, and practitioners aim to serve. In our field, we must recognize not only that autistic people are those most affected by decisions around programming and policies, but that they are key informants in decisions around the conceptualization, implementation, and evaluation of educational programming for autistic learners. Too often, they are left out of these discussions altogether. To illustrate the process of community collaboration, we discuss emotional and energy regulation (ER), a top priority among autistic people based upon their viewpoints. Method In this clinical focus article, we outline what emotional regulation is, why it is relevant and often challenging for the autistic population, the shortcomings of current practice, as well as practical strategies and ways of thinking about supporting ER for autistic learners. We provide theoretical insights as well as firsthand accounts from a diverse group of autistic people. Each autistic person contributing their perspective in this clinical focus article provided written consent for their participation, as well as direction as to how they wanted to be cited and acknowledged. Quotes were gathered from personal communications, social media posts, and online sources. The clinical viewpoint and materials and tools presented throughout the clinical focus article are the works of the authors that have been informed by the autistic community. Results Based upon the qualitative data presented in this clinical focus article, incorporating the autistic community voice when devising tools and strategies is validating of their experiences and generates useful supports. Conclusions Using a framework similar to the one presented here for engaging the autistic community will help to facilitate the conceptualization of more reliable, valid, and effective supports, goal-setting, and programming overall. Future directions related to the value of empirical study of the tools and strategies developed through such a process are offered.

Bibliography cited by this reference

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 20 Sep 2026 01:01.

Cited references
97
With a DOI
63
Without a DOI, from raw bibliography text
31
2 / 97 (2.1%) cited references include at least one author identified as autistic.
References with data to complete
21 / 97 (21.6%)
References with detected author names
76 / 97 (78.4%)
Without detected author names
21
Without a structured title
20
Without a stable identifier
28
References with raw author names still to review
20
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
249
From DOI or external metadata
249
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
30
51 / 249 (20.5%) names are linked to an author already present in AutiHub. 198 / 249 (79.5%) names are not yet linked.
Names linked to a person identified as autistic
2 / 249 (0.8%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 2 / 51 (3.9%). Distinct people identified as autistic: 2 / 231 (0.9%).
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