Using a Sight Word Measure to Predict Reading Fluency Problems in Grades 1 to 3

Autor/inn/en	Morris, Darrell; Perney, Jan
Titel	Using a Sight Word Measure to Predict Reading Fluency Problems in Grades 1 to 3
Quelle	In: Reading & Writing Quarterly, 34 (2018) 4, S.338-348 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1057-3569
DOI	10.1080/10573569.2018.1446857
Schlagwörter	Reading Fluency; Sight Method; Sight Vocabulary; Predictive Validity; Reading Difficulties; Reading Rate; Cutting Scores; Grade 1; Grade 2; Grade 3; Task Analysis; Predictor Variables; Word Recognition; Oral Reading; Predictive Measurement; Longitudinal Studies; Outcome Measures; Pretests Posttests; North Carolina + Suchen Sie Ihr Suchwort? Look-and-say method; Ganzheitsmethode; Reading difficulty; Leseschwierigkeit; Reading readiness; Reading speed; Lesegeschwindigkeit; School year 01; 1. Schuljahr; Schuljahr 01; School year 02; 2. Schuljahr; Schuljahr 02; School year 03; 3. Schuljahr; Schuljahr 03; Aufgabenanalyse; Prädiktor; Worterkennung; Oral work; Reading; Mündliche Übung; Leseprozess; Lesen; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung
Abstract	After considering the relationships between (a) reading fluency and reading rate and (b) reading rate and sight vocabulary, this study addressed a very practical question. Can a cut score on a sight vocabulary task (1-min) predict level of reading fluency 4+ months into the future? The prediction was tested at multiple times point across grades 1-3 (N = 305). Results showed that a sight vocabulary cut score (Time 1) was very effective at identifying children who could read with a minimum level of fluency 4 months later (Time 2). The tasks used in the study (word recognition and oral reading) transfer directly to classroom use. They can be used to identify at-risk readers and to diagnose the nature of a fluency problem. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01