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Methods of testing and diagnosing model error : dual and single route cascaded models of reading aloud
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Adelman, James S. and Brown, G. D. A. (Gordon D. A.) (2008) Methods of testing and diagnosing model error : dual and single route cascaded models of reading aloud. Journal of Memory and Language, Vol.59 (No.4). pp. 524-544. doi:10.1016/j.jml.2007.11.008
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Official URL: http://dx.doi.org/10.1016/j.jml.2007.11.008
Abstract
Models of visual word recognition have been assessed by both factorial and regression approaches. Factorial approaches tend to provide a relatively weak test of models, and regression approaches give little indication of the sources of models’ mispredictions, especially when parameters are not optimal. A new alternative method, involving regression on model error, combines these two approaches with parameter optimization. The method is illustrated with respect to the dual route cascaded model of reading aloud. In contrast to previous investigations, this method provides clear evidence that there are parameter-independent problems with the model, and identifies two specific sources of misprediction made by model.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology | ||||
| Divisions: | Faculty of Science > Psychology | ||||
| Library of Congress Subject Headings (LCSH): | Language and languages -- Research | ||||
| Journal or Publication Title: | Journal of Memory and Language | ||||
| Publisher: | Academic Press | ||||
| ISSN: | 0749-596X | ||||
| Official Date: | 14 January 2008 | ||||
| Dates: |
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| Volume: | Vol.59 | ||||
| Number: | No.4 | ||||
| Page Range: | pp. 524-544 | ||||
| DOI: | 10.1016/j.jml.2007.11.008 | ||||
| Status: | Peer Reviewed | ||||
| Access rights to Published version: | Open Access | ||||
| Funder: | Economic and Social Research Council (Great Britain) (ESRC), Leverhulme Trust (LT), University of Warwick | ||||
| Grant number: | RES-000-22-1558 and RES-062-23-0545 (ESRC), F/215/AY (Leverhulme) | ||||
| Version or Related Resource: | Some portions of this paper are based on work presented at the Twenty-Seventh Annual Conference of the Cognitive Science Society. |
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