作者: Michael L Mack , Jennifer J Richler , Isabel Gauthier , Thomas J Palmeri , None
DOI: 10.3758/S13423-010-0017-1
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摘要: The theoretical framework of General Recognition Theory (GRT; Ashby & Townsend, Psychological Review, 93, 154-179, 1986) coupled with the empirical analysis tools Multidimensional Signal Detection Analysis (MSDA; Kadlec models perception and recognition, pp. 181-228, 1992) have become one important method for assessing dimensional interactions in perceptual decision-making. In this article, we critically examine MSDA characterize cases where it is unable to discriminate two kinds interactions: separability decisional separability. We performed simulations known instances violations or separability, applied data generated by these simulations, evaluated on its ability accurately versus source simulated interactions. Critical are often mischaracterized as