Who Enrolls in High School Music? A National Profile of U.S. Students, 2009-2013

Autor/inn/en	Elpus, Kenneth; Abril, Carlos R.
Titel	Who Enrolls in High School Music? A National Profile of U.S. Students, 2009-2013
Quelle	In: Journal of Research in Music Education, 67 (2019) 3, S.323-338 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Elpus, Kenneth)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-4294
DOI	10.1177/0022429419862837
Schlagwörter	Music; Music Education; High School Students; Profiles; National Surveys; Longitudinal Studies; Singing; High School Longitudinal Study of 2009 (NCES) + Suchen Sie Ihr Suchwort? Musik; Musikerziehung; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Charakterisierung; Profilanalyse; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Gesang
Abstract	The purpose of this study is to construct a complete demographic profile of high school music ensemble students using nationally representative data for the U.S. graduating high school class of 2013. We make use of restricted-use data from the National Center for Education Statistics High School Longitudinal Study of 2009 (HSLS). Results showed that 24% of the class of 2013 enrolled in at least one year of a course in band, choir, or orchestra at some point during high school. Music students were 60% female and 40% male, and the racial/ethnic composition of music ensemble students was 58% White, 13% Black or African American, 17% Hispanic or Latino, 4% Asian or Pacific Islander, 8% two or more races, and under 1% American Indian or Alaska Native. Students from the highest socioeconomic status quintiles were over-represented among music students. Fully 61% of music ensemble students participated in some form of arts activity outside of school, and 71% of music students attended a play, concert, or live show with their parents as ninth graders. Complete results presented in the article include disaggregated profiles by type of ensemble and a multivariate logistic regression analysis. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01