Date
8-9-2024
Department
School of Music
Degree
Master of Arts in Music Education (MA)
Chair
Jerry Newman
Keywords
effectiveness, funding, Likert, music, questionnaire, research, Virginia
Disciplines
Music
Recommended Citation
Robertson, Garrett L.H., "Funding Allocations Concerning Composition Creation Standards" (2024). Masters Theses. 1185.
https://digitalcommons.liberty.edu/masters/1185
Abstract
The purpose of this study is to provide applied research data showing either a correlation or no correlation between the amount of school funding allocation for music education programs in various elementary, middle, and high schools and pedagogical approaches associated with elementary, middle, and high school student’s ability to carry out composition creation relating to the Nation Coalition for Core Art Standards. Additionally, it provides applied research data on how music educators should perceive their effectiveness regarding the quality of school funding. By examining historical evidence through multiple studies, the research data will be able to help conclude if a correlation does indeed exist. If there is a relationship between budget and issues with students/educators’ ability to meet these standards, it will provide evidence that change must occur. The results of the study show no correlation in a relationship between the amount of school funding allocated for music education programs in elementary, middle, and high school and pedagogical approaches associated with elementary, middle, and high school student’s ability to create compositions relating to the Nation Coalition for Core Art Standards or any data showing teacher’s perceived effectiveness being impacted by funding. The conclusion of this study results in no data found connecting funding to these standards or funding directly impacting teachers’ perceived effectiveness in the classroom. The recommendation is that a broader study be conducted to solidify these results, particularly with more school districts involved to provide a larger, more diverse data pool.