267
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Developing National Occupational Standards for Behavior Analysis

ORCID Icon &
Pages 196-214 | Received 25 Apr 2022, Accepted 15 Oct 2022, Published online: 21 Oct 2022
 

ABSTRACT

In order to help promote the future growth of behavior analysis, it is incumbent on behavior analysts around the world to develop country-specific standards. National Occupational Standards (NOS) are concise and readable documents that specify the knowledge an individual requires and the standard of performance that must be achieved when carrying out a specific function in the workplace. NOS are used as benchmarks of good practice across professions internationally. The current paper provides an overview of a model with 20 discrete actionable steps across five phases for developing standards: (i) preparation, (ii) development, (iii) review, (iv) validation, and (v) endorsement. A case example is provided for the development of NOS for Applied Behavior Analysts in the United Arab Emirates in the Middle East.

Ethical Statement

The current submission is a conceptual paper with no human participants. Therefore, no approval was required from an Institutional Review Board.

Acknowledgments

We thank Dr. Aoife McTiernan for her helpful comments on this manuscript.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors have no funding to report.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 336.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.