Critiques of Socio-Economic School Compositional Effects: Are They Valid?

Autor/inn/en	Sciffer, Michael G.; Perry, Laura B.; McConney, Andrew
Titel	Critiques of Socio-Economic School Compositional Effects: Are They Valid?
Quelle	In: British Journal of Sociology of Education, 41 (2020) 4, S.462-475 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sciffer, Michael G.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0142-5692
DOI	10.1080/01425692.2020.1736000
Schlagwörter	School Demography; Socioeconomic Status; Socioeconomic Influences; Context Effect; Statistical Analysis; Structural Equation Models; Error of Measurement; Educational Research; Regression (Statistics); Achievement Tests; International Assessment; Foreign Countries; Secondary School Students; Literacy; National Competency Tests; Numeracy; Australia; Brazil; Germany; Indonesia; Japan; United States; Program for International Student Assessment; National Assessment Program Literacy and Numeracy + Suchen Sie Ihr Suchwort? Schulbesuchsrate; Socio-economic status; Sozioökonomischer Status; Sozioökonomischer Faktor; Statistische Analyse; Messfehler; Bildungsforschung; Pädagogische Forschung; Regression; Regressionsanalyse; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Ausland; Sekundarschüler; Alphabetisierung; Schreib- und Lesefähigkeit; Rechenkompetenz; Australien; Brasilien; Deutschland; Indonesien; USA
Abstract	School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical regression models. We review the residualised change and fixed effects methods in critical studies and find limitations in their capacity to demonstrate null compositional effects. We show this with an adjusted residualised change model finding significant SEC effects. We show structural equation models can address concerns that measurement errors inflate SEC effects by comparing hierarchical regression models to structural equation models. We find that structural equation models can detect SEC effects free from measurement error. We conclude that the reviewed critiques of SEC effects were due to methods unlikely to detect compositional effects. Future research would benefit from the identification of mediators of SEC effects. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2022/1/01