Evidence map›Paper›PMID 38966275›Full record

ReviewBehavior analysis in practice2024

Affirming Neurodiversity within Applied Behavior Analysis.

Sneha Kohli Mathur, Ellie Renz, Jonathan Tarbox

Abstract readReview
In one paragraph

Review in Behavior analysis in practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A Call to Action for Qualitative Behavior Analysis.Behavior analysis in practice · 2026
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  13. A Tactful Prompt: The Time is Right forPerspectives on behavior science · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sneha Kohli MathurUniversity of Southern California, Los Angeles, CA USA.ORCID 0000-0001-6166-7923
Ellie RenzUniversity of Illinois Chicago, Chicago, IL USA.
Jonathan TarboxUniversity of Southern California and FirstSteps for Kids, Alhambra, CA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Criticisms of applied behavior analysis (ABA) from the autistic community continue to intensify and have an appreciable impact on research, practice, and conversation in stakeholder groups. ABA providers aspire to increase quality of life for autistic people; thus, it is imperative for providers to listen with humility and openness to the population we serve. Autistic individuals have unparalleled expertise in their own lives and their own communities. The concerns raised by the autistic community cannot, morally or ethically, be swept aside. There may be a misguided and harmful tendency to devalue concerns due to the speaker's identification as autistic or due to their difference in professional credentials. The concept of neurodiversity can help the ABA field respond to these concerns and collaborate with the largest stakeholders of our services, the autistic clients we serve. This article summarizes some of the key criticisms that autistic advocates raise concerning ABA, discusses the social model of disability and the neurodiversity paradigm, and proposes practical guidance to help the field of ABA integrate neurodiversity and thereby evolve our research and practice. By openly acknowledging the criticisms against ABA and recognizing how we can do better as a field, we believe we can take practical steps towards a profession and a society that more fully embraces inclusion.

Indexed as

applied behavior analysisneurodivergentneurodiverseneurodiversitysocial model of disability

Identifiers

PMID38966275
PMCPMC11219658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.