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  1.  35
    Two Routes to Expertise in Mental Rotation.Alexander Provost, Blake Johnson, Frini Karayanidis, Scott D. Brown & Andrew Heathcote - 2013 - Cognitive Science 37 (7):1321-1342.
    The ability to imagine objects undergoing rotation (mental rotation) improves markedly with practice, but an explanation of this plasticity remains controversial. Some researchers propose that practice speeds up the rate of a general-purpose rotation algorithm. Others maintain that performance improvements arise through the adoption of a new cognitive strategy—repeated exposure leads to rapid retrieval from memory of the required response to familiar mental rotation stimuli. In two experiments we provide support for an integrated explanation of practice effects in mental rotation (...)
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  2.  29
    Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model.Guy Hawkins, Scott D. Brown, Mark Steyvers & Eric-Jan Wagenmakers - 2012 - Cognitive Science 36 (3):498-516.
    For decisions between many alternatives, the benchmark result is Hick's Law: that response time increases log-linearly with the number of choice alternatives. Even when Hick's Law is observed for response times, divergent results have been observed for error rates—sometimes error rates increase with the number of choice alternatives, and sometimes they are constant. We provide evidence from two experiments that error rates are mostly independent of the number of choice alternatives, unless context effects induce participants to trade speed for accuracy (...)
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  3.  7
    Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences.Guy E. Hawkins, A. A. J. Marley, Andrew Heathcote, Terry N. Flynn, Jordan J. Louviere & Scott D. Brown - 2014 - Cognitive Science 38 (4):701-735.
    Discrete choice experiments—selecting the best and/or worst from a set of options—are increasingly used to provide more efficient and valid measurement of attitudes or preferences than conventional methods such as Likert scales. Discrete choice data have traditionally been analyzed with random utility models that have good measurement properties but provide limited insight into cognitive processes. We extend a well-established cognitive model, which has successfully explained both choices and response times for simple decision tasks, to complex, multi-attribute discrete choice data. The (...)
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  4. An Integrated Model of Choices and Response Times in Absolute Identification.Scott D. Brown, A. A. J. Marley, Christopher Donkin & Andrew Heathcote - 2008 - Psychological Review 115 (2):396-425.
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  5. Model Flexibility Analysis Does Not Measure the Persuasiveness of a Fit.Nathan J. Evans, Zachary L. Howard, Andrew Heathcote & Scott D. Brown - 2017 - Psychological Review 124 (3):339-345.
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  6. The Falsifiability of Actual Decision-Making Models.Andrew Heathcote, E. -J. Wagenmakers & Scott D. Brown - 2014 - Psychological Review 121 (4):676-678.
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  7. Bayesian Parametric Estimation of Stop-Signal Reaction Time Distributions.Dora Matzke, Conor V. Dolan, Gordon D. Logan, Scott D. Brown & Eric-Jan Wagenmakers - 2013 - Journal of Experimental Psychology: General 142 (4):1047-1073.
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  8. The Fragile Nature of Contextual Preference Reversals: Reply to Tsetsos, Chater, and Usher.Jennifer S. Trueblood, Scott D. Brown & Andrew Heathcote - 2015 - Psychological Review 122 (4):848-853.
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  9. The Multiattribute Linear Ballistic Accumulator Model of Context Effects in Multialternative Choice.Jennifer S. Trueblood, Scott D. Brown & Andrew Heathcote - 2014 - Psychological Review 121 (2):179-205.
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