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Process-based functional analysis can help behavioral science step up to novel challenges: COVID - 19 as an example.
Hayes, Steven C; Hofmann, Stefan G; Stanton, Cory E.
  • Hayes SC; University of Nevada, Reno, NV, United States.
  • Hofmann SG; Boston University, United States.
  • Stanton CE; University of Nevada, Reno, NV, United States.
J Contextual Behav Sci ; 18: 128-145, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-728651
ABSTRACT
Historically speaking, the behavioral tradition advanced functional analysis as a method of applying existing principles to novel situations. In the more than half a century since that idea was advanced, functional analysis has either fallen into disuse, as in most of applied psychology, or has been used but modified to a point that is virtually inapplicable elsewhere, as in applied behavior analysis work with severe developmental disabilities. In this paper we argue that the current challenges with COVID-19 present an ideal time to reinvigorate functional analysis by combining it with the growing body of evidence on processes of change, organized under an extended evolutionary meta-model. This new form of process-based functional analysis takes advantage of the strengths of contextual behavioral science, while opening avenues of fruitful interaction with other wings of intervention and evolutionary science more generally. Using the psychological flexibility model as an example, we show how this approach solves the key problems of classical functional analysis and helps professionals deal with novel challenges such as those posed by COVID-19. Humanity is now facing an extraordinary and unexpected situation. Behavioral science needs to rise to that challenge in a way that provides both immediate practical value and greater assurance of long-term benefits for our understanding of human complexity more generally. Process-based functional analysis can be a vehicle to do just that.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Reviews Language: English Journal: J Contextual Behav Sci Year: 2020 Document Type: Article Affiliation country: J.jcbs.2020.08.009

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Reviews Language: English Journal: J Contextual Behav Sci Year: 2020 Document Type: Article Affiliation country: J.jcbs.2020.08.009