2014
DOI: 10.3758/s13423-014-0661-y
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General recognition theory with individual differences: a new method for examining perceptual and decisional interactions with an application to face perception

Abstract: A common question in perceptual science is to what extent different stimulus dimensions are processed independently. General recognition theory (GRT) offers a formal framework via which different notions of independence can be defined and tested rigorously, while also dissociating perceptual from decisional factors. This article presents a new GRT model that overcomes several shortcomings with previous approaches, including a clearer separation between perceptual and decisional processes and a more complete de… Show more

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Cited by 37 publications
(87 citation statements)
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References 50 publications
(105 reference statements)
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“…A review of current research trends reveals a number of researchers who are ready to switch from the subject aggregating procedures, and instead consider using individual subject analysis, if they are not already en route to developing and using such methods (e.g., Myung et al, 2000;Brown and Heathcote, 2003;Estes and Maddox, 2005;Soto et al, 2014). The main challenge in using individual subject data is to provide an integral assessment of such data that can enable clear communication between researchers.…”
Section: Discussionmentioning
confidence: 99%
“…A review of current research trends reveals a number of researchers who are ready to switch from the subject aggregating procedures, and instead consider using individual subject analysis, if they are not already en route to developing and using such methods (e.g., Myung et al, 2000;Brown and Heathcote, 2003;Estes and Maddox, 2005;Soto et al, 2014). The main challenge in using individual subject data is to provide an integral assessment of such data that can enable clear communication between researchers.…”
Section: Discussionmentioning
confidence: 99%
“…Outlier detection was done with the individual differences measures from the GRT-wIND analysis (GRT-with Individual Differences, a type of GRT analysis that estimates several individual difference parameters, including a pair of decision bounds for each participant; Soto et al, 2015). When individual decision bound parameters were estimated for each participant, some participants showed a clear deviation from the rest of the sample (Figure 1 is a plot of the decision bound slopes for the loudness dimension using the unfiltered data).…”
Section: Methodsmentioning
confidence: 99%
“…An experimental session consisted of 12 blocks of 50 trials each (following the example of Soto et al, 2015). On each trial, one of the four stimulus categories was selected and a pair of stimulus values were generated to create a new compound stimulus.…”
Section: Methodsmentioning
confidence: 99%
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