Equal Access of Ethnic Minority Students to Different Types of Higher Education Institutions?

Autor/inn/en	Zhang, Jianxin; Verhoeven, Jef C.
Titel	Equal Access of Ethnic Minority Students to Different Types of Higher Education Institutions?
Quelle	In: Diaspora, Indigenous, and Minority Education, 6 (2012) 4, S.197-213 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1559-5692
DOI	10.1080/15595692.2012.711392
Schlagwörter	Higher Education; Educational Attainment; Minority Groups; Minority Group Students; Foreign Countries; Family Income; Student Attitudes; Equal Education; Access to Education; Ethnic Groups; Parent Background; Vocational Education; Universities; Regression (Statistics); Predictor Variables; China + Suchen Sie Ihr Suchwort? Hochschulbildung; Hochschulsystem; Hochschulwesen; Bildungsabschluss; Bildungsgut; Ethnische Minderheit; Ausland; Familieneinkommen; Schülerverhalten; Education; Access; Bildung; Zugang; Bildungszugang; Ethnie; Elternhaus; Ausbildung; Berufsbildung; University; Universität; Regression; Regressionsanalyse; Prädiktor
Abstract	In this article we focus on answering the question "Is there equal access to different types of higher education institutions (HEIs) for ethnic minority (EM) students in Yunnan Province (China), and what explanation might be found for any differences?" In order to answer this question, we rely on the education attainment theory, and a sample of 600 EM students provides the data for the analysis. The analysis shows that these students have differing preferences for private, key, public, or vocational universities. It is also demonstrated that this might be influenced by the occupation and education of the parents, family income, etc. Further, using 10 possible determinants in a multinomial logistic regression analysis, we determined whether it is possible to predict with greater accuracy the educational attainment of EM students and found that the entrance exam score is the best predictor. (Contains 9 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10