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An R package for state-trace analysis.

Melissa Prince1, Guy Hawkins, Jonathon Love

  • 1The School of Psychology, Psychology Building, The University of Newcastle, University Avenue, Callaghan 2308, Australia. Melissa.Prince@newcastle.edu.au

Behavior Research Methods
|July 19, 2012
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Summary
This summary is machine-generated.

State-trace analysis is a graphical method to understand how latent variables affect experimental outcomes. A new R package, StateTrace, simplifies this analysis for binary data, including Bayesian methods.

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Area of Science:

  • Cognitive psychology
  • Mathematical psychology
  • Data analysis

Background:

  • State-trace analysis (STA) is a graphical method to identify mediating latent variables in experimental dissociations.
  • Traditional STA can be complex to implement, especially with bounded response scales like accuracy.
  • Existing methods may be confounded by range effects.

Purpose of the Study:

  • To introduce and illustrate the use of the StateTrace package for R.
  • To automate and simplify the application of state-trace analysis.
  • To facilitate the use of Bayesian methods within state-trace analysis.

Main Methods:

  • Application of state-trace analysis using the StateTrace R package.
  • Utilizing a graphical user interface (GUI) for ease of use.
  • Incorporating computationally intensive Bayesian statistical methods for evidence quantification.

Main Results:

  • The StateTrace package provides automated analysis and customizable graphics for state-trace experiments.
  • It efficiently manages complex Bayesian analyses for binary response data.
  • Demonstrates the practical application of STA for understanding dissociations.

Conclusions:

  • The StateTrace package offers a user-friendly and efficient tool for conducting state-trace analysis.
  • It enhances the accessibility of advanced statistical methods for psychological research.
  • Facilitates robust analysis of latent variable mediation in experimental psychology.