Using Admission Assessments to Predict Final Grades in a College Music Program

Bibliographic Data

ID10201112
AuthorsA Lehmann (0000-0002-5362-1711, University of Music Würzburg, corresponding author), Andreas C Lehmann (Hochschule für Musik Würzburg, Würzburg, Germany)
Year2014
Volume62
Issue3
Pages245-258
Publication date2014-08-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Research in Music Education (JOURNAL)
Journal identifiersISSN: 0022-4294 • E-ISSN: 1945-0095
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0022429414542654
OpenAlexW2094053433
LanguageEN
Citations received7
References cited11

Entrance examinations and auditions are common admission procedures for college music programs, yet few researchers have attempted to look at the long-term predictive validity of such selection processes. In this study, archival data from 93 student records of a German music academy were used to predict development of musicianship skills over the course of a 4-year program. Audition grades for the principal instrument, aural skills, and basic knowledge of music theory were correlated with similar data available for the final exams. Final high school grades also were available. Results indicated moderate correlations between entrance and final grades for aural skills ( r = .69) and music theory (.45). Piano majors did better at aural skills and music theory than other candidates. A positive influence of keyboard proficiency also was found for the nonpiano majors. The correlation between initial and final grade on the principal instrument was dependent on the instrument category: piano (.64), followed by voice (.55), winds (.24), and strings (.05). Stronger academic performance prior to college was associated with superior performance in academic subjects in college, whereas no influence was found for academic strength on students’ principal instrument performance

German · Mathematics education · Music education · Music theory · Musical · Pedagogy · Piano · Principal (computer security · Visual arts · Computer Science · Diverse Music Education Insights · Medical Education and Admissions · Psychology · Psychometric Methodologies and Testing

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