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Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses
Trial-based functional analysis (TBFA) is an accurate and ecologically valid assessment of challenging behavior. Further, there is evidence to suggest that individuals with minimal exposure to behavior analytic assessment methodology (e.g., parents, teachers) can quickly be trained to conduct TBFAs...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477999/ https://www.ncbi.nlm.nih.gov/pubmed/34602803 http://dx.doi.org/10.1007/s10864-021-09456-z |
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author | Standish, Cassandra M. Lambert, Joseph M. Copeland, Bailey A. Bailey, Kathryn M. Banerjee, Ipshita Lamers, Mallory E. |
author_facet | Standish, Cassandra M. Lambert, Joseph M. Copeland, Bailey A. Bailey, Kathryn M. Banerjee, Ipshita Lamers, Mallory E. |
author_sort | Standish, Cassandra M. |
collection | PubMed |
description | Trial-based functional analysis (TBFA) is an accurate and ecologically valid assessment of challenging behavior. Further, there is evidence to suggest that individuals with minimal exposure to behavior analytic assessment methodology (e.g., parents, teachers) can quickly be trained to conduct TBFAs in naturalistic settings (e.g., schools, homes). Notwithstanding, the response effort associated with training development can be prohibitive and may preclude incorporation of TBFA into practice. To address this, we developed a partially automated training package, intended to increase the methodology’s accessibility. Using a multiple-probe across skills design, we assessed the degree to which the package increased caregiver accuracy in (a) implementing TBFAs, (b) interpreting TBFA outcomes, and (c) managing TBFA data. Six caregivers completed this study and all demonstrated proficiency following training, first during structured roleplays and again during assessment of their child’s actual challenging behavior. |
format | Online Article Text |
id | pubmed-8477999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-84779992021-09-28 Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses Standish, Cassandra M. Lambert, Joseph M. Copeland, Bailey A. Bailey, Kathryn M. Banerjee, Ipshita Lamers, Mallory E. J Behav Educ Original Paper Trial-based functional analysis (TBFA) is an accurate and ecologically valid assessment of challenging behavior. Further, there is evidence to suggest that individuals with minimal exposure to behavior analytic assessment methodology (e.g., parents, teachers) can quickly be trained to conduct TBFAs in naturalistic settings (e.g., schools, homes). Notwithstanding, the response effort associated with training development can be prohibitive and may preclude incorporation of TBFA into practice. To address this, we developed a partially automated training package, intended to increase the methodology’s accessibility. Using a multiple-probe across skills design, we assessed the degree to which the package increased caregiver accuracy in (a) implementing TBFAs, (b) interpreting TBFA outcomes, and (c) managing TBFA data. Six caregivers completed this study and all demonstrated proficiency following training, first during structured roleplays and again during assessment of their child’s actual challenging behavior. Springer US 2021-09-28 2023 /pmc/articles/PMC8477999/ /pubmed/34602803 http://dx.doi.org/10.1007/s10864-021-09456-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Standish, Cassandra M. Lambert, Joseph M. Copeland, Bailey A. Bailey, Kathryn M. Banerjee, Ipshita Lamers, Mallory E. Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses |
title | Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses |
title_full | Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses |
title_fullStr | Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses |
title_full_unstemmed | Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses |
title_short | Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses |
title_sort | partially automated training for implementing, summarizing, and interpreting trial-based functional analyses |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477999/ https://www.ncbi.nlm.nih.gov/pubmed/34602803 http://dx.doi.org/10.1007/s10864-021-09456-z |
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