Supporting Information Identifiability for the One-Choice Diffusion Model
نویسنده
چکیده
Supporting Information Identifiability for the One-Choice Diffusion Model There is an identifiability issue in the one-choice model. The essence of the issue is that boundary setting, drift rate, and standard deviation (SD) in drift rate are highly correlated. For these parameters, different starting values for the program that fits the model to data can yield different best-fitting parameter estimates such that the different estimates have about the same goodness of fit. The differences in the best-fitting parameter estimates can be as large as 2:1. The correlations between the parameters are over .9. In a 3-dimensional representation, the three parameters covary on a single straight line. However, ratios of the parameters are almost invariant over the different fits. The ratio of drift rate to SD in drift rate (v/η) and the ratio of boundary setting to drift rate (a/v) are almost constant.
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