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Dimensionality and explanatory power of reading models

Published online by Cambridge University Press:  29 March 2004

Douglas Hanes  and
Gin McCollum
Douglas Hanes*
Affiliation:
Neurotology Research, Legacy Clinical Research and Technology Center, Portland, OR97232
Gin McCollum*
Affiliation:
Neurotology Research, Legacy Clinical Research and Technology Center, Portland, OR97232
*
dough@lhs.org
mccollum@ohsu.edu
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Abstract:

The authors' review of alternative models for reading is of great value in identifying issues and progress in the field. More emphasis should be given to distinguishing between models that offer an explanation for behavior and those that merely simulate experimental data. An analysis of a model's discrete structure can allow for comparisons of models based upon their inherent dimensionality and explanatory power.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 26 , Issue 4 , August 2003 , pp. 486 - 487
Copyright
Copyright © Cambridge University Press 2003

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