A note on the importance of within country standardization when conducting multilevel analysis. An example of stratification and the educational inequality of opportunity.

Autor/in	Horn, Daniel
Titel	A note on the importance of within country standardization when conducting multilevel analysis. An example of stratification and the educational inequality of opportunity.
Quelle	Mannheim: Mannheimer Zentrum für Europ. Sozialforschung (2007), 13 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	Arbeitspapiere / Mannheimer Zentrum für Europäische Sozialforschung. 104
Beigaben	grafische Darstellungen
Zusatzinformation	Inhaltsverzeichnis
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie; Graue Literatur
ISSN	1437-8574
Schlagwörter	Forschungsmethode; Forschungspraxis; Mehrebenenanalyse; Methode; Vergleich; Vergleichende Forschung; Bildungschance; Chancengleichheit; Soziale Ungleichheit; Chancengleichheit; Deutschland; Methode; Österreich; Soziale Ungleichheit; Standardisierung; Theorie; Internationaler Vergleich; Analyse; Forschungsmethode; Vergleich; Vergleichende Forschung; Maßzahl; Soziale Schicht; Internationaler Vergleich; Analyse; Standardisierung; Theorie; Mehrebenenanalyse; PISA (Programme for International Student Assessment); Deutschland; Österreich
Abstract	"Most of the internationally comparable datasets are designed to be mean-comparable, i.e. the means (and high and low values, percentages...etc.) of the variables can be compared across countries. But it is less obvious that the standard deviations of the same variables are also comparable, or that the unit-movements (regression coefficients) are comparable at all. Thus when conducting multilevel analyses one must standardize the variables of interest within country in order for the regression coefficients to be comparable across countries; i.e. transfer the standard deviations to be the same in every country. Hence, the effort to obtain an additional unit on the variable becomes the same across countries. This paper uses a multilevel model on the PISA 2003 dataset to illustrate the size of the bias that occurs when one misses to standardize the variables. An example on the effects of stratifying educational institutions on the inequality of opportunity is presented." (author's abstract).
Erfasst von	ZBW - Leibniz-Informationszentrum Wirtschaft, Kiel
Update	2008/4