1. A Clinical Tutorial on Methods to Capture and Contrive Establishing Operations to Teach Mands.
- Author
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Frampton SE, Davis CR, Meleshkevich O, and Axe JB
- Abstract
Mands are consistently described as critical learning targets for members of vulnerable populations in need of language intervention (Ala'i-Rosales et al., 2018; Michael, 1988; Sundberg, 2004). Reviews of the literature demonstrate a prevalence of the mand in the applied literature (e.g., DeSouza et al., 2017). Yet, gaps between research and practice exist in scientific fields resulting in decades-long delays between identification of evidence-based approaches and adoption in everyday use. The mand may be particularly at risk for procedural drift in practice settings given the sometimes elusive nature of establishing operations (EOs) and the relative complexity of procedures used to contrive them. Thus, the purpose of this tutorial is to build upon prior conceptual (e.g., Shafer, 1994) and applied (e.g., Cengher et al., 2022) reviews on mands to provide a contemporary, in-depth review of three procedures used to contrive EOs: incidental teaching, the interrupted chains procedure, and programmed restriction of reinforcers. Recent examples from the literature are discussed along with considerations for use in practice. Resources to support implementation including integrity checklists and role play scenarios are provided., Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-024-00985-3., Competing Interests: Conflicts of InterestWe have no conflicts of interest relevant to this article to disclose., (© Association for Behavior Analysis International 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
- Published
- 2024
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