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Cited by 265

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

MOTIVATING AUTISTIC CHILDREN THROUGH STIMULUS VARIATION

Open access
Dunlap, Glen, Koegel, Robert L.·1980·Journal of Applied Behavior Analysis

Abstract

This study evaluated the differential effectiveness of two methods of presenting discrimination tasks when teaching autistic children. In a constant task condition, the common method of presenting a single task throughout a session was used. In a varied task condition, the same task was interspersed with a variety of other tasks from the children's clinic curricula. Results showed declining trends in correct responding during the constant task condition, with substantially improved and stable responding during the varied task condition. In addition, naive observers judged the children to be more enthusiastic, interested, happier, and better behaved during the varied task sessions. These results suggest that “boredom” may be a particularly important variable to control in the treatment of autistic children, and that particular care may be necessary when defining criteria for task acquisition. The results are discussed in relation to the literature on increased responsivity to stimulus novelty and variation.

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Crossref · 10.1901/jaba.1980.13-619

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Metadata

Authors
Dunlap, G., & Koegel, R. L.
Venue
Journal of Applied Behavior Analysis
Publisher
Wiley
Published
1980-12
Volume
13
Issue
4
Pages
619-627
ISSN
  • 0021-8855 (ISSN-L)
  • 1938-3703
OpenAlex
W1966771356
Cited by
265
References
13
FWCI
7.35
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: MOTIVATING AUTISTIC CHILDREN THROUGH STIMULUS VARIATION. https://app.cochat.ai/papers/10.1901/jaba.1980.13-619
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Dunlap, G., & Koegel, R. L. (1980). MOTIVATING AUTISTIC CHILDREN THROUGH STIMULUS VARIATION. Journal of Applied Behavior Analysis. https://doi.org/10.1901/jaba.1980.13-619

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.