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).
The School of Psychology, Psychology Building, The University of Newcastle, University Avenue, Callaghan 2308, Australia. Melissa.Prince@newcastle.edu.au
Melissa
M
Prince
Guy
G
Hawkins
Jonathon
J
Love
Andrew
A
Heathcote
D001499:Bayes Theorem; D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D006801:Humans; D008432:Mathematical Computing; D009488:Neurosciences / Q000706:statistics & numerical data*; D011381:Programming Languages; D011589:Psychology, Experimental / Q000706:statistics & numerical data*; D012984:Software