Aperçu: G.M.
L'identification des renforcements putatifs est un élément essentiel de la programmation pour les personnes handicapées.
Cette
étude a examiné l'efficacité de l'utilisation de la modélisation vidéo
avec instruction vocale (VMVO) pour former deux membres du personnel de
l'école publique pour effectuer cette évaluation. Les résultats démontrent que VMVO a été efficace dans la formation,
produisant une réponse généralisée, une maintenance et des notes de
validité sociale élevées.
Behav Anal Pract. 2016 Jul 27;10(1):72-76. doi: 10.1007/s40617-016-0135-y. eCollection 2017.
Using Video Modeling with Voice-over Instruction to Train Public School Staff to Implement a Preference Assessment
Bovi GM1, Vladescu JC1, DeBar RM1, Carroll RA2, Sarokoff RA3.
Author information
- 1
- 0000 0004 0383 182Xgrid.448604.aDepartment of Applied Behavior Analysis, Caldwell University, 120 Bloomfield Avenue, Caldwell, NJ 07006 USA.
- 2
- 0000 0001 2156 6140grid.268154.cWest Virginia University, Morgantown, WV USA.
- 3
- Bernards Township Public Schools, Basking Ridge, NJ USA.
Abstract
The
identification of putative reinforcers is a critical component of
programming for individuals with disabilities. A multiple stimulus
without replacement preference assessment is one option for identifying
putative reinforcers; however, staff must be trained on the steps
necessary to conduct the assessment for it to be useful in practice.
This study examined the effectiveness of using video modeling with
voice-over instruction (VMVO) to train two public school staff to
conduct this assessment. Results demonstrate that VMVO was effective in
training, producing generalized responding, maintenance, and high social
validity ratings.
- PMID: 28352510
- PMCID: PMC5352625
- DOI: 10.1007/s40617-016-0135-y