An R package for state-trace analysis

Melissa Prince, Guy Hawkins, Johathon Love, Andrew Heathcote

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)

    Abstract

    State-trace analysis (Bamber, Journal of Mathematical Psychology, 19, 137-181, 1979) is a graphical analysis that can determine whether one or more than one latent variable mediates an apparent dissociation between the effects of two experimental manipulations. State-trace analysis makes only ordinal assumptions and so, is not confounded by range effects that plague alternative methods, especially when performance is measured on a bounded scale (such as accuracy). We describe and illustrate the application of a freely available GUI driven package, StateTrace, for the R language. StateTrace automates many aspects of a state-trace analysis of accuracy and other binary response data, including customizable graphics and the efficient management of computationally intensive Bayesian methods for quantifying evidence about the outcomes of a state-trace experiment, developed by Prince, Brown, and Heathcote (Psychological Methods, 17, 78-99, 2012).

    Original languageEnglish
    Pages (from-to)644-655
    Number of pages12
    JournalBehavior Research Methods
    Volume44
    Issue number3
    DOIs
    Publication statusPublished - Sep 2012

    Keywords

    • Bayes factors
    • Dimensional analysis
    • R package
    • State-trace analysis

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