Publisher： John Wiley & Sons Inc
E-ISSN： 1467-7687|18|5|853-862
ISSN： 1363-755x
Source： DEVELOPMENTAL SCIENCE (ELECTRONIC), Vol.18, Iss.5, 2015-09, pp. : 853-862
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Abstract
AbstractA large collection of estimation phenomena (e.g. biases arising when adults or children estimate remembered locations of objects in bounded spaces; Huttenlocher, Newcombe & Sandberg, 1994) are commonly explained in terms of complex Bayesian models. We provide evidence that some of these phenomena may be modeled instead by a simpler non‐Bayesian alternative. Undergraduates and 9‐ to 10‐year‐olds completed a speeded linear position estimation task. Bias in both groups’ estimates could be explained in terms of a simple psychophysical model of proportion estimation. Moreover, some individual data were not compatible with the requirements of the more complex Bayesian model.
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