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Autor/in | Tortorelli, Laura S. |
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Titel | Beyond First Grade: Examining Word, Sentence, and Discourse Text Factors Associated with Oral Reading Rate in Informational Text in Second Grade |
Quelle | In: Reading and Writing: An Interdisciplinary Journal, 33 (2020) 1, S.143-170 (28 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Tortorelli, Laura S.) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0922-4777 |
DOI | 10.1007/s11145-019-09956-5 |
Schlagwörter | Reading Rate; Elementary School Students; Readability; Semantics; Syntax; Discourse Analysis; Reading Processes; Computational Linguistics; Evaluation Methods; Reading Materials; Grade 2; Oral Reading; Prediction; Connected Discourse; Common Core State Standards; Correlation Reading readiness; Reading speed; Lesegeschwindigkeit; Lesbarkeit; Semantik; Diskursanalyse; Leseprozess; Linguistics; Computerlinguistik; School year 02; 2. Schuljahr; Schuljahr 02; Oral work; Reading; Mündliche Übung; Lesen; Vorhersage; Common core curriculum; Curriculum; Kerncurriculum; Korrelation |
Abstract | Text complexity in elementary classrooms is typically measured by traditional readability tools, which rely on surface-level measures of word and sentence complexity. Theoretical and empirical work on text complexity, however, indicates that additional measures of semantics, syntax, and discourse structure may be equally important for understanding how young children process texts. This study evaluated the components of two available text analysis tools representing different generations of readability: the Lexile Framework and the Coh-Metrix Text Easability Assessor. Using multilevel modeling, informational passage readings were nested in 5133 second-grade children in 459 schools to identify text variables that predicted changes in oral reading rate. Coh-Metrix dimensions of word concreteness, referential cohesion, and deep cohesion were uniquely associated with oral reading rate after controlling for traditional readability components. A full model including both the Lexile components and three Coh-Metrix dimensions provided the best fit to the data. Results suggest that measures of semantic complexity and text cohesion are needed to improve prediction of text difficulty for young readers and better inform text selection in the early grades. Implications for policy and practice under the Common Core State Standards, which emphasize reading complex texts across the gradespan, are discussed. (As Provided). |
Anmerkungen | Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |