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An R package for state-trace analysis

Citation

Prince, M and Hawkins, G and Love, J and Heathcote, A, An R package for state-trace analysis, Behavior research methods, 44, (3) pp. 644-55. ISSN 1554-351X (2012) [Refereed Article]

Copyright Statement

Copyright 2012 Psychonomic Society, Inc.

DOI: doi:10.3758/s13428-012-0232-y

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).

Item Details

Item Type:Refereed Article
Research Division:Psychology and Cognitive Sciences
Research Group:Cognitive Sciences
Research Field:Decision Making
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Psychology and Cognitive Sciences
Author:Heathcote, A (Professor Andrew Heathcote)
ID Code:98922
Year Published:2012
Web of Science® Times Cited:3
Deposited By:Medicine (Discipline)
Deposited On:2015-03-06
Last Modified:2015-05-11
Downloads:0

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