The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Video Self-Modeling Applications With Students With Autism Spectrum Disorder in a Small Private School Setting
Abstract
Videotaped self-modeling (VSM) Was developed as a means to alloW participants to vieW themselves in situations Where they are performing at a more advanced level than they typically function. VSM has been used effectively to train positive behaviors and reduce unWanted behaviors across a range of ages and behaviors; hoWever, feW studies of VSM have been conducted With students With autism. The present study Was designed to analyze the effects that VSM had on children With autism spectrum disorders across a variety of behaviors, including language, social initiations, tantrums, and aggression. Multiple-baseline designs across students and behaviors Were used to evaluate performance in several substudies. The results indicated that all of the 5 participants exhibited immediate and significant gains and that those gains Were maintained after cessation of treatment. The findings suggest that VSM may constitute a positive behavior change intervention Worthy of consideration for persons With autism.
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Citations
Cites
Behavioral treatment and normal educational and intellectual functioning in young autistic children.
Lovaas, O. I. (1987) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.55.1.3 · Cited by 3,288
Cited by
Evidence-based Kernels: Fundamental Units of Behavioral Influence
Embry, D. D., & Biglan, A. (2008) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-008-0036-x · Cited by 396
Social skills training for youth with autism spectrum disorders
Bellini, S., & Peters, J. K. (2008) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2008.06.008 · Cited by 80
Metadata
- Authors
- Buggey, T.
- Venue
- Focus on Autism and Other Developmental Disabilities
- Publisher
- SAGE Publications
- Published
- 2005-02
- Volume
- 20
- Issue
- 1
- Pages
- 52-63
- ISSN
- 0887-1566 (ISSN-L)
- 1088-3576
- 1538-4829
- OpenAlex
- W2027780124
- Cited by
- 248
- References
- 1
- FWCI
- 15.01
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.