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Cited by 231

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

ELIMINATING DISCIPLINE PROBLEMS BY STRENGTHENING ACADEMIC PERFORMANCE1

Open access
Ayllon, Teodoro, Roberts, Michael D.·1974·Journal of Applied Behavior Analysis

Abstract

Behavior modification procedures have typically been used to eliminate discipline problems in the classroom through reinforcement of nondisruptive behavior. This report demonstrates an alternative approach whereby discipline problems are eliminated by reinforcing relevant academic skills. Five fifth‐grade boys, identified by their teacher as discipline problems, were observed. The teacher conducted 15‐min performance sessions in her reading class during which written academic performance and disruptive behavior were recorded. These measures indicated that the boys' average level of disruption was 34%, while their reading performance was below 50%. When systematic token reinforcement was applied to reading performance only, the rate of disruption fell drastically, and reading performance increased. When the reinforcement procedure was withdrawn, disruption again rose, and reading performance declined. The reinstatement of reinforcement doubled reading performance and eliminated disruption.

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Crossref · 10.1901/jaba.1974.7-71

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Metadata

Authors
Ayllon, T., & Roberts, M. D.
Venue
Journal of Applied Behavior Analysis
Publisher
Wiley
Published
1974-03
Volume
7
Issue
1
Pages
71-76
ISSN
  • 0021-8855 (ISSN-L)
  • 1938-3703
OpenAlex
W2142150600
Cited by
231
References
1
FWCI
22.54
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: ELIMINATING DISCIPLINE PROBLEMS BY STRENGTHENING ACADEMIC PERFORMANCE1. https://app.cochat.ai/papers/10.1901/jaba.1974.7-71
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Ayllon, T., & Roberts, M. D. (1974). ELIMINATING DISCIPLINE PROBLEMS BY STRENGTHENING ACADEMIC PERFORMANCE1. Journal of Applied Behavior Analysis. https://doi.org/10.1901/jaba.1974.7-71

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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.