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Randomized single-case AB phase designs: Prospects and pitfalls.

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Summary
This summary is machine-generated.

Randomized AB phase designs offer experimental validity for evaluating interventions. However, their power is limited to large effects and sample sizes, suggesting complex designs for smaller effects.

Keywords:
Interrupted time series designLinear trendPower analysisRandomization testSingle-case experimental design

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Area of Science:

  • Psychology
  • Educational Psychology
  • Clinical Psychology

Background:

  • Single-case experimental designs (SCEDs) are crucial for evaluating interventions in individual participants.
  • The AB phase design, a basic SCED, can be enhanced with randomization.
  • Randomization involves randomly determining the intervention's start point.

Purpose of the Study:

  • Introduce and review the randomized AB phase design.
  • Discuss data analysis possibilities, pitfalls, and solutions using randomization tests.
  • Investigate the impact of linear trends on randomization tests in this design.

Main Methods:

  • Introduction and review of the randomized AB phase design.
  • Exploration of data-analytical approaches and randomization tests.
  • Simulation study to assess Type I error and power under linear trends.

Main Results:

  • Randomization tests maintain Type I error control even with unexpected linear trends.
  • The power of randomized AB phase designs is adequate only for substantial treatment effects and large sample sizes.
  • Unexpected linear trends can impact the power of randomization tests.

Conclusions:

  • Randomized AB phase designs are experimentally valid but have limited power for small effects.
  • For small treatment effects or sample sizes, consider more complex designs like randomized ABAB or multiple-baseline designs.
  • Effective analysis of randomized AB phase designs requires careful consideration of potential data pitfalls.