400
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

The effectiveness of a video based preference assessment in identifying social reinforcers

ORCID Icon &
Pages 48-61 | Received 15 May 2017, Accepted 26 Oct 2017, Published online: 02 Dec 2017
 

ABSTRACT

Stimulus preference assessments have been established as an effective way to identify potential reinforcers. Less is known, however, about the effectiveness of these assessments at predicting potential social reinforcers. This study examined the utility of a video-based preference assessment for accurately identifying reinforcing social activities. Using a forced-choice format, videos were presented side-by-side that portrayed various social interactions. This assessment generated a hierarchy of most and least preferred social stimuli for each participant. The reinforcing effectiveness of the highest- and lowest-preferred stimuli was then evaluated in a reinforcer assessment. For each of the three participants, the stimuli selected most often, or the highest preferred, increased responding above baseline and low-preference conditions. These results indicate that video representations of social stimuli may accurately identify preference hierarchies. Implications for the use of video technology in assessing social preferences are discussed.

Acknowledgments

This study was approved by the Institutional Review Board at Utah State University (USU) and conducted in accordance with the ethical standards of USU regarding Human Subjects. All procedures were performed in accordance with the ethical standards designated in the 1964 Helsinki declaration and its later amendments.

Disclosure statement

No potential conflict of interest was reported by the authors.

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.