Literature DB >> 20514195

Using differential reinforcement to decrease academic response latencies of an adolescent with acquired brain injury.

Megan R Heinicke1, James E Carr, Michael P Mozzoni.   

Abstract

The present study investigated the effects of contingency-specifying rules and a token economy to decrease the latency to comply with academic instructions by a 16-year-old girl with acquired brain injury. Results showed that treatment was successful in reducing academic response latencies. These results replicate previous research in which differential reinforcement was used to decrease slow responding to academic tasks.

Entities:  

Keywords:  acquired brain injury; compliance; differential reinforcement; latency; token economy

Mesh:

Year:  2009        PMID: 20514195      PMCID: PMC2790924          DOI: 10.1901/jaba.2009.42-861

Source DB:  PubMed          Journal:  J Appl Behav Anal        ISSN: 0021-8855


  4 in total

1.  Reducing latency of a child's responding to instructions by means of a token system.

Authors:  N Fjellstedt; B Sulzer-Azároff
Journal:  J Appl Behav Anal       Date:  1973

2.  Evaluation of a multiple-stimulus presentation format for assessing reinforcer preferences.

Authors:  I G DeLeon; B A Iwata
Journal:  J Appl Behav Anal       Date:  1996

3.  The integrity of independent variables in behavior analysis.

Authors:  L Peterson; A L Homer; S A Wonderlich
Journal:  J Appl Behav Anal       Date:  1982

4.  Treating excessively slow responding of a young man with Asperger syndrome using differential reinforcement of short response latencies.

Authors:  Jeffrey H Tiger; Kelly J Bouxsein; Wayne W Fisher
Journal:  J Appl Behav Anal       Date:  2007
  4 in total
  1 in total

1.  Increasing compliance with medical examination requests directed to children with autism: effects of a high-probability request procedure.

Authors:  Vinca Riviere; Melissa Becquet; Emilie Peltret; Bruno Facon; Jean-Claude Darcheville
Journal:  J Appl Behav Anal       Date:  2011
  1 in total

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