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Assessing Consistency in Single-Case A-B-A-B Phase Designs.

René Tanious1, Tamal Kumar De1, Bart Michiels1

  • 1KU Leuven, Belgium.

Behavior Modification
|April 2, 2019
PubMed
Summary

This study introduces two new methods, CONDAP and CONEFF, to measure consistency in single-case A-B-A-B designs, enhancing the analysis of single-case experimental designs (SCEDs). These measures supplement existing effect size measures (ESMs) for SCED data.

Keywords:
consistencyeffect sizessingle-case experimental designsstatistical analysisvisual analysis

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Area of Science:

  • Behavioral Science
  • Psychology
  • Research Methodology

Background:

  • Single-case experimental designs (SCEDs) utilize effect size measures (ESMs) to quantify data characteristics like level, trend, variability, overlap, and immediacy.
  • Existing ESMs provide valuable insights but lack specific measures for consistency within A-B-A-B phase designs.

Purpose of the Study:

  • To introduce two novel methods for quantifying consistency in single-case A-B-A-B phase designs.
  • To provide tools that supplement visual analysis and existing effect size measures in SCED research.

Main Methods:

  • Introduction of CONDAP (CONsistency of DAta Patterns) to assess data pattern consistency across identical phases.
  • Introduction of CONEFF (CONsistency of the EFFects) to evaluate consistency of effect size aspects during phase transitions.
  • Illustration of both measures using four published A-B-A-B phase designs.

Main Results:

  • The proposed methods, CONDAP and CONEFF, offer quantitative assessments of consistency in A-B-A-B designs.
  • Demonstration of how these measures can complement visual analysis of SCED data.
  • Successful application of the measures to real-world SCED examples.

Conclusions:

  • CONDAP and CONEFF represent significant advancements in the quantitative analysis of SCEDs.
  • These measures enhance the ability to evaluate the reliability and consistency of interventions in A-B-A-B designs.
  • Future research should explore further applications and refinements of these consistency measures.