ABkPowerCalculator: An App to Compute Power for Balanced (AB)^k Single Case Experimental Designs

Area of Science:

• Behavioral Science
• Medical Research
• Psychology

Background:

• Single-case experimental designs (SCEDs) are crucial in behavioral and medical research.
• Existing SCED standards lack statistically derived power computations.
• Applied researchers need accessible tools for power analysis in SCEDs.

Purpose of the Study:

• To introduce a user-friendly Shiny App for calculating statistical power in balanced (AB)^k designs.
• To explain the derivation of power computations for (AB)^k designs.
• To provide an accessible tool for researchers without requiring software training.

Main Methods:

• Development of a Shiny App implementing power computation equations for (AB)^k designs.
• The app supports power calculations for analyses involving multilevel models with autocorrelations.
• The tool is designed for ease of use on various devices, including mobile phones.

Main Results:

• The developed Shiny App provides accessible power computations for (AB)^k designs.
• The calculator requires no prior R programming knowledge.
• The app is functional across different devices without needing R installation.

Conclusions:

• The (AB)^k power calculator Shiny App is a valuable resource for practitioners and applied researchers.
• It facilitates the planning of single-case studies with adequate statistical power.
• Enhances the rigor of behavioral and medical research utilizing SCEDs.