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Autor/inn/en | Tellings, Agnes; Coppens, Karien; Gelissen, John; Schreuder, Rob |
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Titel | Clusters of Word Properties as Predictors of Elementary School Children's Performance on Two Word Tasks |
Quelle | In: Applied Psycholinguistics, 34 (2013) 3, S.461-481 (21 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0142-7164 |
DOI | 10.1017/S014271641100083X |
Schlagwörter | Vocabulary 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 Wortschatzarbeit; Multivariate Analyse; School year 02; 2. Schuljahr; Schuljahr 02; School year 04; 4. Schuljahr; Schuljahr 04; Schreibweise; Aufgabenanalyse; Classification system; Klassifikation; Klassifikationssystem; Indoeuropäisch; Analogiemodell; Decision-making; Entscheidungsfindung; Prädiktor; Achievement; Leistung; Gültigkeit; Sprachaneignung; Spracherwerb |
Abstract | Often, 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). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |