Sex Differences in Science Achievement: A Multilevel Analysis.

Autor/inn/en	Young, Deidra J.; Fraser, Barry J.
Titel	Sex Differences in Science Achievement: A Multilevel Analysis.
Quelle	(1992), (12 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Academic Achievement; Family Influence; Foreign Countries; Individual Characteristics; Institutional Characteristics; Performance Factors; School Demography; Science Achievement; Science Education; Secondary Education; Secondary School Students; Sex Differences; Single Sex Schools; Socioeconomic Influences; Student Attitudes; Australia + Suchen Sie Ihr Suchwort? Schulleistung; Ausland; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Leistungsindikator; Schulbesuchsrate; Naturwissenschaftliche Bildung; Sekundarbereich; Sekundarschüler; Sex difference; Geschlechtsunterschied; Single-sex schools; Single-sex classes; Single sex classes; Getrenntgeschlechtliche Erziehung; Schule; Sozioökonomischer Faktor; Schülerverhalten; Australien
Abstract	The assertion that girls and boys in single-sex schools outperform their peers attending coeducational schools was investigated in this study with particular reference to physics achievement. The relationship between the school, the home and the student's performance in physics was also explored tentatively using multilevel analysis. The average home background (called the socioeducational level in this study) was found to contribute towards student achievement to a greater extent when compared with such school effects as school type and the sex composition of the school. The importance of the use of the multilevel model in estimating microparameters such as sex differences, as well as macroparameters such as school type, is illustrated in this study by the significant influence of the school aggregate variable, socioeducational level. This is a preliminary report describing some of the school and home effects influencing student performance using multilevel statistical methodology. A list of 28 references is included. (Author)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC