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Eric-Jan Wagenmakers Han L. J. van der Maas Conor V. Dolan Raoul P. P. P. Grasman 《Psychonomic bulletin & review》2008,15(6):1229-1235
In this rejoinder, we address two of Ratcliff’s main concerns with respect to the EZ-diffusion model (Ratcliff, 2008). First,
we introduce “robust-EZ,” a mixture model approach to achieve robustness against the presence of response contaminants that
might otherwise distort parameter estimates. Second, we discuss an extension of the EZ model that allows the estimation of
starting point as an additional parameter. Together with recently developed, user-friendly software programs for fitting the
full diffusion model (Vandekerckhove & Tuerlinckx, 2007; Voss & Voss, 2007), the development of the EZ model and its extensions
is part of a larger effort to make diffusion model analyses accessible to a broader audience, an effort that is long overdue. 相似文献
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Dutilh Gilles Annis Jeffrey Brown Scott D. Cassey Peter Evans Nathan J. Grasman Raoul P. P. P. Hawkins Guy E. Heathcote Andrew Holmes William R. Krypotos Angelos-Miltiadis Kupitz Colin N. Leite Fábio P. Lerche Veronika Lin Yi-Shin Logan Gordon D. Palmeri Thomas J. Starns Jeffrey J. Trueblood Jennifer S. van Maanen Leendert van Ravenzwaaij Don Vandekerckhove Joachim Visser Ingmar Voss Andreas White Corey N. Wiecki Thomas V. Rieskamp Jörg Donkin Chris 《Psychonomic bulletin & review》2019,26(4):1051-1069
Psychonomic Bulletin & Review - Most data analyses rely on models. To complement statistical models, psychologists have developed cognitive models, which translate observed variables into... 相似文献
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