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Using a Visual Structured Criterion for the Analysis of Alternating-Treatment Designs
Marc J Lanovaz1,2, Patrick Cardinal3, Mary Francis1
11 Université de Montréal, Québec, Canada.
Behavior Modification
|November 3, 2017
Summary
A new visual structured criterion (VSC) aids alternating-treatment designs analysis. This method offers reliable results, controlling errors and detecting behavior changes when used with sufficient data points.
Area of Science:
- Behavioral Science
- Research Methodology
Background:
- Visual inspection is common for single-case designs but suffers from inter-rater reliability issues.
- Lack of rater agreement can compromise the validity of single-case design analysis.
Purpose of the Study:
- To develop and examine the properties of a simple structured criterion.
- To supplement the visual analysis of alternating-treatment designs.
Main Methods:
- Generated simulated data sets with varied parameters (data points, conditions, effect sizes, autocorrelations).
- Measured Type I error rates and power using the visual structured criterion (VSC) and permutation analyses.
- Validated Type I error rates with non-simulated data.
Main Results:
- The VSC generally provides adequate control over Type I error rates.
- The VSC demonstrates sufficient power to detect most behavior changes.
- Adequate performance is observed with at least five data points per condition.
Conclusions:
- The visual structured criterion (VSC) is a valuable supplement for analyzing alternating-treatment designs.
- Using the VSC enhances the validity and reliability of single-case design analysis.
- The VSC offers a practical solution to the limitations of purely visual inspection.
Keywords:
Monte Carlo simulationType I erroralternating-treatment designmultielement designpowervisual analysisMore Related Videos
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