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Autor/inn/enMachado, Mychal A.; Luczynski, Kevin C.
TitelComputer-Based Training to Teach Observers to Accurately Score Problem Behavior Using Fast Forwarding at 5x Normal Speed
QuelleIn: Journal of Applied Behavior Analysis, 54 (2021) 1, S.417-428 (12 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0021-8855
DOI10.1002/jaba.783
SchlagwörterComputer Assisted Instruction; Training Methods; Observation; Video Technology; Accuracy; Efficiency; Scores; Behavior Problems; Program Effectiveness; Feedback (Response)
AbstractThe current study evaluated whether a computer-based training program could improve observers' accuracy in scoring discrete instances of problem behavior at 5x normal speed using a multiple-baseline design across subjects. During pretraining and posttraining, observers attempted to score multiple examples of problem behavior at 5.0x without feedback. During training, participants scored multiple examples of problem behavior at 5.0x with automated feedback. Researchers measured omission (missing problem behavior) and commission (scoring other behavior as problem behavior) errors and the total duration of scoring time to determine the observers' accuracy and efficiency, respectively. After training, all participants scored instances of problem behavior with less than 11% error using 5.0x. The time required to score the videos across 90-min observations was reduced by 66%. Results extend previous evaluations of fast forwarding by demonstrating that the training program could be used to teach observers to accurately score problem behavior using a speed faster than 3.5x. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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