Evidence map›Paper›PMID 34405040›Full record

ReviewBehavior analysis in practice2022

Exploring Quality in the Applied Behavior Analysis Service Delivery Industry.

Bryant C Silbaugh, Robbie El Fattal

Erratum issuedAbstract readReview
In one paragraph

Review in Behavior analysis in practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Scaling Compassion and Applications in ABA.Behavior analysis in practice · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. A Primer on Private Equity Ownership in ABA.Behavior analysis in practice · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Bryant C SilbaughTrendline ABA, LLC, San Antonio, TX 78254 USA.ORCID 0000-0003-3145-944X
Robbie El FattalMaraca Learning, Inc., Boise, ID USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the applied behavior analysis (ABA) service industry ("the industry") continues to rapidly expand, it faces three major problems. First, ABA service delivery quality (ASDQ) is undefined in ABA research and the industry. Second, we cannot rely exclusively on professional organizations that oversee licensure and certification to control ABA service delivery quality because they do not have control over the relevant contingencies. Third, without objective indicators of ABA service delivery quality, it is difficult for ABA organizations to distinguish the quality of their services from competitors. In this article, first we explain the need for more critical discussion of ASDQ in the field at large, briefly describe a sample of common views of quality in ABA research and the industry, and identify some of their limitations. Then we define ASDQ and present a cohesive theoretical framework which brings ASDQ within the scope of our science so that we might take a more empirical approach to understanding and strengthening ASDQ. Next, we explain how organizations can use culturo-behavioral science to understand their organization's cultural practices in terms of cultural selection and use the evidence-based practice of ABA at the organizational level to evaluate the extent to which methods targeting change initiatives result in high ASDQ. Lastly, in a call to action we provide ABA service delivery organizations with six steps they can take now to pursue high ASDQ by applying concepts from culturo-behavioral science and total quality management.

Indexed as

applied behavior analysisculturo-behavioral scienceevidence-based practicemetacontingencyquality

Identifiers

PMID34405040
PMCPMC8359641

What OpenQuestion holds

Textmetadata
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.