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Autor/inn/enStandish, Cassandra M.; Lambert, Joseph M.; Copeland, Bailey A.; Bailey, Kathryn M.; Banerjee, Ipshita; Lamers, Mallory E.
TitelPartially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses
QuelleIn: Journal of Behavioral Education, 32 (2023) 2, S.239-260 (22 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Lambert, Joseph M.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1053-0819
DOI10.1007/s10864-021-09456-z
SchlagwörterFunctional Behavioral Assessment; Behavior Problems; Evaluation Methods; Training; Program Effectiveness; Program Implementation; Data Analysis; Data Use; Caregivers; Role Playing; Child Behavior
AbstractTrial-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. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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