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Autor/inn/enRoberson, Nathan D.; Zumbo, Bruno D.
TitelMigration Background in PISA's Measure of Social Belonging: Using a Diffractive Lens to Interpret Multi-Method DIF Studies
QuelleIn: International Journal of Testing, 19 (2019) 4, S.363-389 (27 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Roberson, Nathan D.)
ORCID (Zumbo, Bruno D.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1530-5058
DOI10.1080/15305058.2019.1632316
SchlagwörterAchievement Tests; Foreign Countries; International Assessment; Secondary School Students; Test Bias; Immigrants; Student School Relationship; Regression (Statistics); Background; Australia; Canada; Ireland; Lebanon; Macau; Malta; New Zealand; Qatar; Singapore; Sweden; Trinidad and Tobago; United Arab Emirates; United Kingdom; United States; Program for International Student Assessment
AbstractThis paper investigates measurement invariance as it relates to migration background using the Program for International Student Assessment measure of social belonging. We explore how the use of two measurement invariance techniques provide insights into differential item functioning using the alignment method in conjunction with logistic regression in the case of multiple group comparisons. Social belonging is a central human need, and we argue that immigration background is important factor when considering how an individual interacts with a survey/items about belonging. Overall results from both the alignment method and ordinal logistic regression, interpreted through a diffractive lens, suggest that it is inappropriate to treat peoples of four different immigration backgrounds within the countries analyzed as exchangeable groups. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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