Gomez, P. 1 , Perea, M. 2 & Moret-Tatay, C. 2, 3
1 De Paul University, Chicago, USA
2 Universitat de València, Valencia, Spain
3 Universidad Católica de Valencia, Valencia, Spain
Although the diffusion model has been quite successful at accounting for lexical decision data (e.g., Ratcliff, Gomez, & McKoon, 2002), there is a central assumption of the model that has not been systematically explored: the distinction between the encoding time (Ter parameter), and the quality of the evidence (drift rate). A common criticism of the diffusion model approach is that \"everything goes to drift rate\". We present a series of experiments that attempt to validate the model by employing manipulations that presumably affect encoding but not drift rate. We present data from masked priming experiments as well as from manipulations that affect the perceptual encoding of the words (e.g., stimulus rotations, stimuli presented with different inter-letter spacings).