Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses.

Autor/inn/en	Standish, Cassandra M.; Lambert, Joseph M.; Copeland, Bailey A.; Bailey, Kathryn M.; Banerjee, Ipshita; Lamers, Mallory E.
Titel	Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses.
Quelle	In: Journal of behavioral education, (2021) 2, S.239-260Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1053-0819
DOI	10.1007/s10864-021-09456-z
Schlagwörter	Behavioral skills training; Trial-based functional analysis; Parent training; Procedural fidelity; Implementation fidelity
Abstract	Abstract 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.
Erfasst von	OLC
Update	2024/1/01