Optimizing variables for contingency management among infant caregivers using a simulated purchase task
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Author
Day‐Watkins, JessicaVladescu, Jason C.
Reed, Derek D.
Kaplan, Brent
Graham, Madison
Schnell‐Peskin, Lauren K.
Keyword
behavioral economicscontingency management
infant behavior
infant sleep‐related death purchase task
Journal title
Journal of the Experimental Analysis of BehaviorDate Published
2025-01-10Publication Volume
123Publication Issue
1Publication Begin page
72Publication End page
84
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Show full item recordAbstract
Behavioral economics offers a framework for understanding choice making around public health concerns such as drug use and distracted driving. Such a framework could be beneficial to understanding caregiver choices related to arranging an infant sleep environment. Nonadherence to infant sleep safety guidelines provided by the American Academy of Pediatrics increases the risk of sleep-related infant deaths. The present study adopted a willingness-to-accept purchase task procedure, used in previous research to evaluate variables that predict abstaining from consuming alcohol, to evaluate intention to adhere to recommendations for arranging a safe infant sleep environment. This analysis would inform contingency management incentive scales used to measure caregiver adherence following training caregivers to arrange an infant sleep environment and identify variables that might predict treatment engagement. The results identified incentive sizes, condition duration, and participant variables that predict caregiver adherence. The results can be applied to future investigations that train caregivers to arrange an infant sleep environment.Citation
Day-Watkins J, Vladescu JC, Reed DD, Kaplan B, Graham M, Schnell-Peskin LK. Optimizing variables for contingency management among infant caregivers using a simulated purchase task. J Exp Anal Behav. 2025 Jan;123(1):72-84. doi: 10.1002/jeab.4233. Epub 2025 Jan 10. PMID: 39791988.DOI
10.1002/jeab.4233ae974a485f413a2113503eed53cd6c53
10.1002/jeab.4233
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- Creative Commons
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