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Comparing Visual and Statistical Analysis in Single-Case Studies Using Published Studies.

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This summary is machine-generated.

Interrupted time series analysis (ITSA) is applicable to short, single-case designs, but its conclusions differ from visual analysis (VA). Both methods should be used together in applied behavior analysis research.

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Area of Science:

  • Behavior Analysis
  • Research Methodology

Background:

  • Single-case designs are common in applied behavior analysis.
  • Interrupted time series analysis (ITSA) and visual analysis (VA) are used to evaluate interventions.
  • The applicability of ITSA to short, single-case designs is not well understood.

Purpose of the Study:

  • To examine the extent to which ITSA can be applied to single-case designs.
  • To compare the results of ITSA with VA in single-case designs.
  • To assess the consistency between ITSA and VA in applied behavior analysis research.

Main Methods:

  • Utilized software (UnGraph®) to extract raw data from graphs in the Journal of Applied Behavior Analysis (2010).
  • Applied ITSA to 94% of examined single-case graphs (8-136 observations).
  • Calculated effect sizes using tertile distribution and compared ITSA conclusions with VA (Kappa =.14).

Main Results:

  • ITSA was successfully applied to most single-case graphs.
  • Moderate to high autocorrelation was present in 46% of data series.
  • Low agreement was found between ITSA and VA conclusions.

Conclusions:

  • ITSA is broadly implementable in applied behavior analysis research.
  • ITSA and VA yield different conclusions for single-case designs.
  • ITSA and VA should be used concurrently as complementary methods.