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Date of Graduation
Master of Music (MM)
School of Music
William M. Dabback
In this quantitative study I investigated relationships between motivation, music aptitude, academic achievement, race, gender, and instrument type and student continuance in their first year of instrumental music study. Beginning instrumental music students (n = 30) completed the EVC Survey (Kosovich et al., 2015) to determine expectancy, value, and cost. I collected data on music aptitude, gender, race, and instrument type from teacher and school records, and conducted binary logistic regression and Chi-Square tests in order to determine predictors of continuance in instrumental music classes. I excluded gender, race, and instrument type from the logistic regression model because they did not meet assumptions. My analysis showed that expectancy, value, cost, and music aptitude significantly predicted student continuance after their first year of instrumental music instruction. Findings offer an initial model for predicting student continuance and suggest implications for future research and practice.
Duncan, Andrew, "Factors influencing student continuance in instrumental music classes: A quantitative analysis" (2021). Masters Theses, 2020-current. 122.