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Consistent visual analyses of intrasubject data.

SungWoo Kahng1, Kyong-Mee Chung, Katharine Gutshall

  • 1Kennedy Krieger Institute and The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. Kahng@kennedykrieger.org

Journal of Applied Behavior Analysis
|September 3, 2010
PubMed
Summary
This summary is machine-generated.

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Visual inspection of single-case data in applied behavior analysis shows high rater agreement. This suggests that trained professionals can consistently interpret experimental control from graphs.

Area of Science:

  • Applied Behavior Analysis
  • Research Methodology

Background:

  • Visual inspection is the primary method for interpreting single-case data in applied behavior analysis.
  • Previous research (DeProspero & Cohen, 1979) examined the consistency of visual analysis.

Purpose of the Study:

  • To replicate and extend the findings of DeProspero and Cohen (1979).
  • To reexamine the consistency of visual analysis of single-case data across different raters.

Main Methods:

  • Recruited board of editors and associate editors from the Journal of Applied Behavior Analysis.
  • Raters judged graphs on a 100-point scale for experimental control.
  • Raters also provided a dichotomous "yes" or "no" response for experimental control.

Main Results:

Keywords:
data analysissingle-case designvisual inspection

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  • High interrater agreement was observed across three types of graphs.
  • This consistency suggests reliable interpretation of experimental control.

Conclusions:

  • Visual inspection of single-case data can lead to consistent interpretations among well-trained raters.
  • The findings support the reliability of visual analysis in applied behavior analysis research.