Preferred Name

Drew Duncan

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Date of Graduation


Document Type


Degree Name

Master of Music (MM)


School of Music


David Stringham

Kenn Barron

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.



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