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Autor/inn/enAreepattamannil, Shaljan; Kaur, Berinderjeet
TitelFactors Predicting Science Achievement of Immigrant and Non-Immigrant Students: A Multilevel Analysis
QuelleIn: International Journal of Science and Mathematics Education, 11 (2013) 5, S.1183-1207 (25 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1571-0068
DOI10.1007/s10763-012-9369-5
SchlagwörterScience Achievement; Immigrants; Foreign Countries; Predictor Variables; Cultural Background; Native Language; Family Income; Socioeconomic Status; Student Attitudes; Learner Engagement; Student Motivation; Familiarity; Teacher Shortage; School Size; Student Characteristics; Hierarchical Linear Modeling; Canada
AbstractThis study, employing hierarchical linear modeling (HLM), sought to investigate the student-level and school-level factors associated with the science achievement of immigrant and non-immigrant students among a national sample of 22,646 students from 896 schools in Canada. While student background characteristics such as home language, family wealth, and socioeconomic status were significant predictors of science achievement for non-immigrant students, these factors were not significantly associated with immigrant student science achievement. Student attitudes, engagement, and motivation in science and information and communication technology familiarity were significant predictors of science achievement for both immigrant and non-immigrant students. Whereas teacher shortage was associated with science achievement for immigrant students, school size was associated with science achievement for non-immigrant students. Implications of the findings are discussed. (As Provided).
AnmerkungenSpringer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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