Flexibility versus generalizability in model selection
نویسندگان
چکیده
منابع مشابه
Flexibility versus generalizability in model selection.
Which quantitative method should be used to choose among competing mathematical models of cognition? Massaro, Cohen, Campbell, and Rodriguez (2001) favor root mean squared deviation (RMSD), choosing the model that provides the best fit to the data. Their simulation results appear to legitimize its use for comparing two models of information integration because it performed just as well as Bayes...
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What is model selection? What are the goals of model selection? What are the methods of model selection and how do they work? Which methods perform better than others and in what circumstances? These questions rest on a number of key concepts in a relatively underdeveloped field. The aim of this paper is to explain some background concepts, to highlight some of the results in this special issue...
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Spatial researchers have been arguing over the optimum cognitive strategy for spatial problem-solving for several decades. The current paper aims to shift this debate from strategy dichotomies to strategy flexibility — a cognitive process, which although alluded to in spatial research, presents practical methodological challenges to empirical testing. In the current study, participants’ eye mov...
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ژورنال
عنوان ژورنال: Psychonomic Bulletin & Review
سال: 2003
ISSN: 1069-9384,1531-5320
DOI: 10.3758/bf03196467