Individualized sampling parameters for behavioral observations: Enhancing the predictive validity of competing stimulus assessments

Iser G. DeLeon, Lisa M. Toole, Katharine A. Gutshall, Lynn G. Bowman

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Recent studies have used pretreatment analyses, termed competing stimulus assessments, to identify items that most effectively displace the aberrant behavior of individuals with developmental disabilities. In most studies, there appeared to have been no systematic basis for selecting the sampling period (ranging from 30 s to 10 min) in which items were assessed. Unfortunately, estimates based on brief samples of behavior do not always predict the extent to which items will displace aberrant behavior over longer periods. This study first examined a method for determining an accurate individualized sample length for competing stimulus assessments, based on statistical measures of correspondence with extended effects, using a small number of items. The effects of a larger number of items were then assessed using the determined sample length. Finally, the method was validated by comparing its predictions, in terms of the reduction of problem behavior over more extended periods, to predictions based on sample durations typically used in previous investigations. For two participants, predictions based on individualized determination of sample lengths were more accurate than predictions based on typical sample lengths. These results are discussed in terms of the exchange between expediency and accuracy during competing stimulus assessments.

Original languageEnglish (US)
Pages (from-to)440-455
Number of pages16
JournalResearch in Developmental Disabilities
Volume26
Issue number5
DOIs
StatePublished - Sep 2005

Keywords

  • Automatic reinforcement
  • Competing stimulus assessment
  • Sampling parameters

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Clinical Psychology
  • Developmental and Educational Psychology

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