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The Design and Analysis of State-Trace Experiments


Prince, M and Brown, S and Heathcote, A, The Design and Analysis of State-Trace Experiments, Psychological Methods, 17, (1) pp. 78-99. ISSN 1082-989X (2012) [Refereed Article]

Copyright Statement

Copyright 2011 American Psychological Association

DOI: doi:10.1037/a0025809


State-trace analysis (Bamber, 1979) addresses a question of interest in many areas of psychological research: Does 1 or more than 1 latent (i.e., not directly observed) variable mediate an interaction between 2 experimental manipulations? There is little guidance available on how to design an experiment suited to state-trace analysis, despite its increasing use, and existing statistical methods for state-trace analysis are problematic. We provide a framework for designing and refining a state-trace experiment and statistical procedures for the analysis of accuracy data using Klugkist, Kato, and Hoijtink’s (2005) method of estimating Bayes factors. The statistical procedures provide estimates of the evidence favoring 1 versus more than 1 latent variable, as well as evidence that can be used to refine experimental methodology.

Item Details

Item Type:Refereed Article
Research Division:Psychology
Research Group:Cognitive and computational psychology
Research Field:Decision making
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in psychology
UTAS Author:Heathcote, A (Professor Andrew Heathcote)
ID Code:98906
Year Published:2012
Web of Science® Times Cited:38
Deposited By:Medicine
Deposited On:2015-03-06
Last Modified:2017-10-31

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