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Autor/inn/enTellings, Agnes; Coppens, Karien; Gelissen, John; Schreuder, Rob
TitelClusters of Word Properties as Predictors of Elementary School Children's Performance on Two Word Tasks
QuelleIn: Applied Psycholinguistics, 34 (2013) 3, S.461-481 (21 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0142-7164
DOI10.1017/S014271641100083X
SchlagwörterVocabulary Development; Multivariate Analysis; Elementary School Students; Grade 2; Grade 4; Spelling; Task Analysis; Classification; Indo European Languages; Scores; Models; Decision Making; Predictor Variables; Performance; Validity; Language Acquisition
AbstractOften, the classification of words does not go beyond "difficult" (i.e., infrequent, late-learned, nonimageable, etc.) or "easy" (i.e., frequent, early-learned, imageable, etc.) words. In the present study, we used a latent cluster analysis to divide 703 Dutch words with scores for eight word properties into seven clusters of words. Each cluster represents a group of words that share a particular configuration of word properties. This model was empirically validated with three data sets from Grades 2 to 4 children who made either a lexical decision task or a use decision task with a selection of the words. Significant differences were found between the clusters of words within the three data sets. Implications for further study and for practice are discussed. (As Provided).
AnmerkungenCambridge University Press. 100 Brook Hill Drive, West Nyack, NY 10994-2133. Tel: 800-872-7423; Tel: 845-353-7500; Fax: 845-353-4141; e-mail: subscriptions_newyork@cambridge.org; Web site: http://journals.cambridge.org/action/displayJournal?jid=APS
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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