Understanding Ableism in ABA: Historical Context and Clinical Implications
Applied behavior analysis has evolved significantly since its early days, yet concerns about ableism—beliefs and practices that treat disabled people as “less than” or in need of “fixing”—persist in the field. This paper examines how ableism can appear in ABA services for Autistic people and traces its roots through the field’s history. For clinicians committed to ethical, person-centered care, understanding these patterns is essential for making better daily decisions.
What is the research question being asked and why does it matter?
This paper asks how ableism shows up in ABA services for Autistic people, and how the field’s history helps explain why. Ableism here means beliefs and actions that treat disabled people as “less than” or as people who must be “fixed”—even when helpers have good intentions. This matters because ableism can quietly shape goals, teaching methods, and how we talk to and about learners. See also: BACB Ethics Code.
The paper also asks practitioners to examine what we call “socially meaningful.” If a goal mainly helps adults feel comfortable but doesn’t support the learner’s safety, comfort, access, or choices, it may be more about fitting in than helping. Without noticing this, we can end up targeting harmless behavior (like some forms of stimming) while missing bigger needs like communication, sleep, pain, or anxiety. The point isn’t to assign blame—it’s to improve daily decisions.
This matters now because “autism” includes a much wider range of people than it did decades ago. Many early ABA studies involved people with very high support needs and limited communication. Today, a learner with the same diagnosis may have very different strengths, needs, and goals. Using one “autism package” for everyone increases the risk of one-size-fits-all care. See also: peer-reviewed research on autism and neurodiversity.
What did the researchers do to answer that question?
This is a discussion and historical review paper, not a treatment study. The authors gathered published writing on ableism, behavior-analytic history, examples from early autism intervention, and first-person accounts from Autistic people. They also draw from their own clinical work. They connect ableism to behavior-analytic ideas about culture, reinforcement, and group norms to explain how bias can be learned and maintained without awareness.
The paper reviews how ABA developed during times when disabled people were often institutionalized and treated harmfully. Some early work focused on stopping behaviors based on how they looked (topography), including severe practices like electric shock to suppress stereotypy. At the same time, early ABA helped some people gain communication and daily living skills and reduce dangerous behavior. The point is to hold both realities: some outcomes were helpful, and some methods were harmful or disrespectful.
The authors also describe modern system pressures that can push ableism forward—rapid field growth, staff shortages, uneven supervision, and business models rewarding high hours and fast service delivery. These pressures lead to shortcuts: copying goals, assuming 40 hours is always needed, treating learners as interchangeable. This makes it easier to miss the learner’s voice and priorities.
How you can use this in your day-to-day clinical practice
Treat “ableism risk” like any other clinical risk: something to check for regularly, not something you either “have” or “don’t have.” In daily work, ableism most often shows up as small patterns—writing goals that aim for “normal,” picking targets because they look odd, or pushing compliance when the learner is distressed.
A practical change: before finalizing goals, ask, “Who does this help the most, and how do we know?” If the best answer is “it will look better,” pause and rethink.
Use function-based thinking not just for problem behavior, but also for “difference” behaviors like stimming, atypical speech, or avoiding eye contact. If a behavior isn’t dangerous and helps the learner cope, it may be meeting a real need. Reducing it without strong reason can remove a coping tool and increase stress.
When caregivers ask to reduce stereotypy, shift the conversation to safety, access, learning, and comfort. Discuss teaching when stimming can happen freely, when it might block learning, and what replacement skills the learner actually wants and will use.
Make “goals for dignity” concrete, not just a value statement. Write goals that increase the learner’s control over their day: requesting breaks, requesting help, saying “no,” choosing activities, communicating pain or discomfort. If a learner has limited speech, prioritize functional communication and reliable assent and refusal signals before fine details like perfect articulation.
The paper’s example of shaping the word “three” in a typical toddler highlights a common error: goals that ignore development waste time and can feel like constant correction.
Change how you set intensity and service hours. “More hours” isn’t the same as “better fit.” When recommending hours, tie it to what the learner needs to gain or reduce, what the family can realistically do, the learner’s tolerance, and the quality of teaching available.
If an organization expects a default high-hour model, protect the learner by documenting why a different amount may be appropriate. Focus on the content of support, not the package name.
Build stronger social validity checks, especially with Autistic input when possible. Don’t wait until discharge to ask if goals felt respectful. Ask during treatment in simple ways the learner can answer. Ask caregivers specific questions about daily life—whether mornings are calmer, whether the learner has more ways to ask for help, whether they seem more rested.
If the learner can self-report, treat that report as high-value data, even if it needs interpretation.
Plan for assent and withdrawal of assent as an everyday part of programming. This isn’t only about ethics—it changes outcomes because learning is better when the learner feels safe.
In session planning, define what “yes,” “not sure,” and “no” look like for each learner. Teach staff how to respond without turning it into a power struggle. If progress depends on blocking escape every time, treat that as a warning sign. Revisit your teaching approach, task difficulty, reinforcers, and schedule.
Protect against system pressures that cause ableist shortcuts. If you supervise, audit goal-writing—yours and your team’s—for copied targets, vague “age-appropriate” language, and goals that only measure adult convenience.
Coach staff to talk about learners as people with preferences, not as a diagnosis or “behaviors.” If your clinic is understaffed, the safest move is often to narrow targets to what matters most for safety, communication, and daily life rather than running too many programs poorly.
Collaborate outside ABA when the learner’s needs suggest it. Sleep, health, anxiety, and medication effects can change learning and behavior. A behavior plan often fails if the learner is in pain, exhausted, or overwhelmed—and you may mistakenly label this as “noncompliance.”
Screen for sleep and health variables early, refer out when needed, and coordinate goals so the learner isn’t pulled in different directions.
Finally, separate “reducing hardship” from “reducing autism.” Treat self-injury, aggression, dangerous elopement, disordered eating, and severe distress as real problems worthy of treatment—they harm the learner and family. But avoid framing the learner’s identity as the problem.
Write case notes and parent coaching statements that name the behavior and its impact, not the person as “broken.” Keep returning to the question: “Does this plan increase this learner’s safety, access, comfort, and choice in their real life?”
Works Cited
McComas, J. J., Drossel, C. D., Sundberg, S., Cerda, M.-L., Wilczynski, S., & Beavis, H. S. (2025). Ableism in applied behavior analysis: Historical context of services for autistic people. Behavior Analysis in Practice. https://doi.org/10.1007/s40617-025-01100-w