Drawing conclusions from choice response time models : a 1 tutorial 2

7 Cognitive models of choice and response times can lead to deeper insights into the processes underlying decisions than standard analyses of accuracy and response time data. The application of these models, however, has historically been reserved for the authors of the models, and their associates. Recently, choice response time models have become more accessible through the release of user-friendly software for estimating their parameters. The aim of this tutorial is to provide guidance about the process of using these parameter estimates and model fits to make conclusions about experimental data. In particular, we discuss the steps required to select an appropriate characterization of a given data set in terms of the parameters of a choice model. We also discuss how to evaluate the quality of the agreement between model and data, including some guidelines for presenting model predictions for group-level data. 8

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