Abstract
In divided-attention tasks, responses are faster when two target stimuli are presented, and thus one is redundant, than when only a single target stimulus is presented. Raab (1962) suggested an account of this redundanttargets effect in terms of a race model in which the response to redundant target stimuli is initiated by the faster of two separate target detection processes. Such models make a prediction about the probability distributions of reaction times that is often calledthe race model inequality, and it is often of interest to test this prediction. In this article, we describe a precise algorithm that can be used to test the race model inequality and present MATLAB routines and a Pascal program that implement this algorithm.
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This research was supported by grants from the Marsden Fund, administered by the Royal Society of New Zealand, and from the Department of Psychology at the University of Otago.
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Ulrich, R., Miller, J. & Schröter, H. Testing the race model inequality: An algorithm and computer programs. Behavior Research Methods 39, 291–302 (2007). https://doi.org/10.3758/BF03193160
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DOI: https://doi.org/10.3758/BF03193160