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Autor/inn/enZhou, Hao; Ma, Xin
TitelA Partial Simulation Study of Phantom Effects in Multilevel Analysis of School Effects: The Case of School Socioeconomic Composition
QuelleIn: Sociological Methods & Research, 52 (2023) 3, S.1321-1339 (19 Seiten)
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ZusatzinformationORCID (Ma, Xin)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0049-1241
DOI10.1177/0049124120986195
SchlagwörterSimulation; Hierarchical Linear Modeling; Socioeconomic Status; Institutional Characteristics; Student Characteristics; Science Achievement; International Assessment; Foreign Countries; Achievement Tests; Secondary School Students; Science Tests; Program for International Student Assessment
AbstractHierarchical linear modeling (HLM) is often used to estimate the effects of socioeconomic status (SES) on academic achievement at different levels of an educational system. However, if a prior academic achievement measure is missing in a HLM model, biased estimates may occur on the effects of student SES and school SES. Phantom effects describe the phenomenon in which the effects of student SES and school SES disappear once prior academic achievement is added to the model. In the present analysis, partial simulation (i.e., simulated data are used together with real-world data) was employed to examine the phantom effects of student SES and school SES on science achievement, using the national sample of the United States from the 2015 Programme for International Student Assessment. The results showed that the phantom effects of student SES and school SES are rather real. The stronger the correlation between prior science achievement and (present) science achievement, the greater the chance that the phantom effects occur. (As Provided).
AnmerkungenSAGE Publications. 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: https://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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