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Updated: Jan 21, 2026

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Evaluation of a trial-based interview-informed synthesized contingency analysis.

Kaitlin S Curtis1, Kara L Forck1, Megan A Boyle1

  • 1Missouri State University.

Journal of Applied Behavior Analysis
|July 27, 2019
PubMed
Summary

The interview-informed synthesized-contingency analysis (IISCA) is a viable and efficient method for understanding problem behavior in children with autism spectrum disorder.

Keywords:
IISCAfunctional analysistrial-based functional analysis

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Area of Science:

  • Behavior Analysis
  • Developmental Psychology
  • Clinical Psychology

Background:

  • Functional analysis is crucial for understanding and intervening in problem behavior.
  • Traditional functional analyses can be time-consuming and may elicit problem behavior.
  • Synthesized-contingency analysis offers a more efficient alternative.

Purpose of the Study:

  • To evaluate the viability of an interview-informed synthesized-contingency analysis (IISCA) in a trial-based format.
  • To compare the effectiveness of trial-based IISCA with typical trial-based and traditional functional analyses.
  • To assess the efficiency and impact on problem behavior frequency of trial-based IISCA.

Main Methods:

  • Conducted a trial-based interview-informed synthesized-contingency analysis (IISCA) with 3 children with autism spectrum disorder (ASD).
  • Compared IISCA results with those from typical trial-based functional analyses and traditional functional analyses.
  • Measured time taken for each analysis and frequency of problem behavior.

Main Results:

  • High degrees of correspondence were found between trial-based IISCA and other functional analysis methods.
  • The trial-based IISCA format required the least amount of time to conduct.
  • The trial-based IISCA format was associated with the lowest frequencies of problem behavior.

Conclusions:

  • Trial-based IISCA is a viable and efficient method for functional behavior assessment in children with ASD.
  • This method demonstrates high correspondence with traditional functional analyses while being less time-consuming.
  • Future research should further explore the merits of different functional analysis arrangements.