| Literature DB >> 22806707 |
Melissa Prince1, Guy Hawkins, Jonathon Love, Andrew Heathcote.
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).Mesh:
Year: 2012 PMID: 22806707 DOI: 10.3758/s13428-012-0232-y
Source DB: PubMed Journal: Behav Res Methods ISSN: 1554-351X