Discusses J. L. McClelland's (see record 1979-32860-001) cascade model and demonstrates that the model does not have a well-defined RT distribution function because it always predicts a nonzero probability that a response will never occur. By conditioning on the event that a response does occur, RT density and distribution functions are derived, thus allowing most RT statistics to be computed directly and eliminating the need for computer simulations. Using these results, an investigation of the model reveals that (a) it predicts mean RT additivity in most cases of pure insertion or selective influence, (b) it predicts only a very small increase in standard deviations as mean RT increases, and (c) it does not mimic the distribution of discrete-stage models that have a serial stage with an exponentially disturbed duration. (12 ref) (PsycINFO Database Record (c) 2006 APA, all rights reserved).
CITATION STYLE
Ashby, F. G. (1982). Deriving exact predictions from the cascade model. Psychological Review, 89(5), 599–607. https://doi.org/10.1037/0033-295X.89.5.599
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