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Autor/inn/enPerry, Conrad; Ziegler, Johannes C.; Zorzi, Marco
TitelNested Incremental Modeling in the Development of Computational Theories: The CDP+ Model of Reading Aloud
QuelleIn: Psychological Review, 114 (2007) 2, S.273-315 (43 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0033-295X
SchlagwörterReading Processes; Mathematical Models; Reading Research; Prediction; Theories; Oral Reading; Research Methodology
AbstractAt least 3 different types of computational model have been shown to account for various facets of both normal and impaired single word reading: (a) the connectionist triangle model, (b) the dual-route cascaded model, and (c) the connectionist dual process model. Major strengths and weaknesses of these models are identified. In the spirit of nested incremental modeling, a new connectionist dual process model (the CDP+ model) is presented. This model builds on the strengths of 2 of the previous models while eliminating their weaknesses. Contrary to the dual-route cascaded model, CDP+ is able to learn and produce graded consistency effects. Contrary to the triangle and the connectionist dual process models, CDP+ accounts for serial effects and has more accurate nonword reading performance. CDP+ also beats all previous models by an order of magnitude when predicting individual item-level variance on large databases. Thus, the authors show that building on existing theories by combining the best features of previous models--a nested modeling strategy that is commonly used in other areas of science but often neglected in psychology--results in better and more powerful computational models. (Author).
AnmerkungenAmerican Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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