An r package for state-trace analysis. 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).
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Stephens, Rachel G.; Matzke, Dora; Hayes, Brett K.: Disappearing dissociations in experimental psychology: using state-trace analysis to test for multiple processes (2019)
- Davis-Stober, Clintin P.; Morey, Richard D.; Gretton, Matthew; Heathcote, Andrew: Bayes factors for state-trace analysis (2016)
- Kalish, Michael L.; Dunn, John C.; Burdakov, Oleg P.; Sysoev, Oleg: A statistical test of the equality of latent orders (2016)