- Title
- An R package for state-trace analysis
- Creator
- Prince, Melissa; Hawkins, Guy; Love, Jonathon; Heathcote, Andrew
- Relation
- Behavior Research Methods Vol. 44, Issue 3, p. 644-655
- Publisher Link
- http://dx.doi.org/10.3758/s13428-012-0232-y
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2012
- Description
- 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).
- Subject
- state-trace analysis; dimensional analysis; Bayes factors; R package
- Identifier
- http://hdl.handle.net/1959.13/1309246
- Identifier
- uon:21814
- Identifier
- ISSN:1554-3528
- Language
- eng
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