Applying the evolutionary theory of behavior dynamics to model the subtypes of automatically reinforced self-injurious behavior.
automatic reinforcement
behavior dynamics
evolutionary theory
precision medicine
self-injurious behavior
Journal
Journal of applied behavior analysis
ISSN: 1938-3703
Titre abrégé: J Appl Behav Anal
Pays: United States
ID NLM: 0174763
Informations de publication
Date de publication:
04 2023
04 2023
Historique:
received:
08
09
2022
accepted:
19
02
2023
medline:
18
4
2023
pubmed:
17
3
2023
entrez:
16
3
2023
Statut:
ppublish
Résumé
The delineation of the subtypes of automatically reinforced self-injurious behavior improved the utility of functional analysis results in predicting treatment efficacy. However, the mechanisms underlying subtype differences remain unclear and difficult to study in clinical populations. Morris and McDowell (2021) attempted to elucidate subtype differences by developing and evaluating models of the subtypes within the evolutionary theory of behavior dynamics. In the current study, we applied techniques from precision medicine to further evaluate the models developed by Morris and McDowell. This evaluation highlighted shortcomings of the existing models and suggested ways they could be improved. Thus, we conducted more extended modeling within the framework of precision medicine to identify models that were more quantitatively similar to available clinical data. Improved models that more closely approximate clinical data were identified. The implications of these models for research, practice, and further applications of the evolutionary theory of behavior dynamics are discussed.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
442-457Informations de copyright
© 2023 Society for the Experimental Analysis of Behavior (SEAB).
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