Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations

Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations

For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data from a wide range of domains. Important contributors to the DDM's success are the across-trial variability parameters, which allow the model to account for the various shapes of response time distri...

Full description

Bibliographic Details
Main Authors: Annis, J. (Author), Boehm, U. (Author), Frank, M.J (Author), Hawkins, G.E (Author), Heathcote, A. (Author), Kellen, D. (Author), Krypotos, A.-M (Author), Lerche, V. (Author), Logan, G.D (Author), Matzke, D. (Author), Palmeri, T.J (Author), Servant, M. (Author), Singmann, H. (Author), Starns, J.J (Author), van Ravenzwaaij, D. (Author), Voss, A. (Author), Wagenmakers, E.-J (Author), Wiecki, T.V (Author)
Format: Article
Language:English
Published: Academic Press Inc. 2018
Subjects:
Across-trial variability parameters
Diffusion Decision Model
Parameter estimation
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items