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An R package for single-case randomization tests.

Isis Bulté1, Patrick Onghena

  • 1Katholieke Universiteit Leuven, Centre for Methodology of Educational Research, Leuven, Belgium. isis.bulte@ped.kuleuven.be

Behavior Research Methods
|June 5, 2008
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Summary
This summary is machine-generated.

Randomization tests offer a robust nonparametric alternative for analyzing single-case design data. This study introduces an R package to facilitate the design and statistical analysis of various single-case experiments.

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Area of Science:

  • Statistics
  • Behavioral Research Methods

Background:

  • Parametric statistical tests often rely on assumptions not met by single-case designs.
  • Randomization tests offer a valid nonparametric alternative by simulating study randomization.

Purpose of the Study:

  • To introduce an R package for designing and analyzing single-case experiments.
  • To provide accessible R code for implementing randomization tests in single-case research.

Main Methods:

  • The study describes an R package for designing phase (AB, ABA, ABAB) and alternation (completely randomized, alternating treatments, randomized block) experiments.
  • The package facilitates statistical analyses using randomization tests.

Main Results:

  • The R package enables the design and analysis of various single-case experimental designs.
  • Step-by-step R code is provided to clarify the methodology.

Conclusions:

  • Randomization tests are a suitable and powerful tool for analyzing single-case design data.
  • The developed R package simplifies the application of these tests, enhancing research practices.