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Autor/inn/en | Sanders, Elizabeth A.; Berninger, Virginia W.; Abbott, Robert D. |
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Titel | Sequential Prediction of Literacy Achievement for Specific Learning Disabilities Contrasting in Impaired Levels of Language in Grades 4 to 9 |
Quelle | In: Journal of Learning Disabilities, 51 (2018) 2, S.137-157 (21 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0022-2194 |
DOI | 10.1177/0022219417691048 |
Schlagwörter | Regression (Statistics); Short Term Memory; Predictor Variables; Reading Achievement; Writing Achievement; Learning Disabilities; Dyslexia; Spelling; Handwriting; Word Recognition; Oral Language; Written Language; Coding; Phonology; Attention; Orthographic Symbols; Cognitive Processes; Language Processing; Elementary Secondary Education; Elementary School Students; Middle School Students; Children; Intelligence Tests; Language Tests; Achievement Tests; Statistical Analysis; Correlation; Wechsler Intelligence Scale for Children; Clinical Evaluation of Language Functions; Woodcock Johnson Tests of Achievement; Wechsler Individual Achievement Test Regression; Regressionsanalyse; Kurzzeitgedächtnis; Prädiktor; Leseleistung; Learning handicap; Lernbehinderung; Dyslexics; Legasthenie; Lese-Rechtschreib-Schwäche; Schreibweise; Handschrift; Worterkennung; Oral interpretation; Mündlicher Sprachgebrauch; Geschriebene Sprache; Codierung; Programmierung; Fonologie; Aufmerksamkeit; Cognitive process; Kognitiver Prozess; Sprachverarbeitung; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; Child; Kind; Kinder; Intelligence test; Intelligenztest; Language test; Sprachtest; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Statistische Analyse; Korrelation; WIAT; Eignungsprüfung; Eignungstest |
Abstract | Sequential regression was used to evaluate whether language-related working memory components uniquely predict reading and writing achievement beyond cognitive-linguistic translation for students in Grades 4 through 9 (N = 103) with specific learning disabilities (SLDs) in subword handwriting (dysgraphia, n = 25), word reading and spelling (dyslexia, n = 60), or oral and written language (oral and written language learning disabilities, n = 18). That is, SLDs are defined on the basis of cascading level of language impairment (subword, word, and syntax/text). A five-block regression model sequentially predicted literacy achievement from cognitive-linguistic translation (Block 1); working memory components for word-form coding (Block 2), phonological and orthographic loops (Block 3), and supervisory focused or switching attention (Block 4); and SLD groups (Block 5). Results showed that cognitive-linguistic translation explained an average of 27% and 15% of the variance in reading and writing achievement, respectively, but working memory components explained an additional 39% and 27% of variance. Orthographic word-form coding uniquely predicted nearly every measure, whereas attention switching uniquely predicted only reading. Finally, differences in reading and writing persisted between dyslexia and dysgraphia, with dysgraphia higher, even after controlling for Block 1 to 4 predictors. Differences in literacy achievement between students with dyslexia and oral and written language learning disabilities were largely explained by the Block 1 predictors. Applications to identifying and teaching students with these SLDs are discussed. (As Provided). |
Anmerkungen | SAGE Publications and Hammill Institute on Disabilities. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |