This study is a comparison of the Ohio Proficiency Test (OPT) results of instrumental music students and their noninstrumental classmates according to socioeconomic status (SES) over time. Subjects (N= 15,431) were students in the Columbus Public Schools in Ohio, whose fourth-, sixth-, and ninth-grade OPT results were compared with others of like SES on the subjects of citizenship, math, science, and reading. Results show that instrumental students outperformed noninstrumental students in every subject and at every grade level. Instrumental students at both levels of SES held higher scores than their noninstrumental classmates from the fourth grade, suggesting that instrumental music programs attract higher scorers from the outset of instruction. Results also show a pattern of increased achievement by lower SES instrumental students, who surpassed their higher SES noninstrumental classmates by the ninth grade in all subjects.
September 15, 2005
March 20, 2006
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References
1.
Bureau of the Census. (2003). 2000 census of population and housing: Population and housing characteristics for census tracts and block numbering areas, Columbus, OH MSA.Washington, DC: U.S. Government Printing Office.
2.
Brooks, M. G. (1988). An analysis of variables for predicting the student achievement of the Atlanta Public Schools.Atlanta, GA: Atlanta Public Schools Division of Curriculum and Research Services (ERIC Document Reproduction Service No. ED 295988).
3.
Catterall, J. , Chapleau, R., & Iwanaga, J. (1999). Involvement in the arts and human development: General involvement and intensive involvement in music and theater arts.Los Angeles: University of California, The Imagination Project at UCLA Graduate School of Education and Information Studies.
4.
Columbus Public Schools. (2004). 2004 Annual Report.Columbus, OH: Communications Office.
5.
Costa-Giomi, E. (1999). The effects of three years of piano instruction on children's cognitive development. Journal of Research in Music Education, 47, 198–212.
6.
Dawkins, A. , & Snyder, R. (1972). Disadvantaged junior high school students compared with norms of Seashore measures. Journal of Research in Music Education, 20, 438–444.
7.
Dunlap, J. E. (1975). The relationship of musical achievement as measured by the Colwell Music Achievement Test to socioeconomic status, race, community size, and the presence of the father in the home in seventh-grade general music classes in Arkansas and Mississippi (Doctoral Dissertation, Indiana University, 1975). Dissertation Abstracts International, 36 (05), 2477.
8.
Granoff, S. (1996). Predictors of Ohio ninth grade proficiency test performance. Unpublished master's thesis, The Ohio State University, Columbus, OH.
9.
Griswold, P., & Patterson, J. (1998, October). Longitudinal patterns of school success among academically high and low risk tenth graders. Paper presented at the annual meeting of the Mid-West Research Association, Chicago, IL. (ERIC Document Reproduction Service No. ED428088)
10.
Helwig, C. , & Thomas, M. (1973). Predicting choral achievement through use of musicality and intelligence scores. Journal of Research in Music Education, 20, 276–280.
11.
Kafer, H. , & Kennell, R. (1998). National survey of high school pianists. American Music Teacher, 49 (1), 34–38.
12.
Klinedinst, R. (1990). Predicting performance achievement and retention of fifth-grade instrumental students. Journal of Research in Music Education, 39, 225–238.
13.
Kvet, E. (1985). Excusing elementary school students from regular classroom activities for the study of instrumental music: The effect on sixth-grade reading, language, and mathematics achievement. Journal of Research in Music Education, 32, 45–54.
14.
Lanese, J. (1992, April). Statewide proficiency testing: Establishing standards or barriers? Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
15.
McCarthy, J. (1980). Individualized instruction, student achievement, and dropout in an urban elementary instrumental music program. Journal of Research in Music Education, 28, 59–69.
16.
Mulhall, P. , Flowers, N., & Mertens, S. (2002). Understanding indicators related to academic performance. Middle School Journal, 34 (2), 56–61.
17.
National Center for Education Statistics . (2004). Washington, DC: U.S. Department of Education, Office of Educational Research and Improvement.
18.
National School Lunch Program, 68 Fed. Reg. 49 (March 13, 2003).
19.
Nichols, J. (2003). Prediction indicators for students failing the state of Indiana high school graduation exam. Preventing School Failure, 47 (3), 112–120.
20.
No Child Left Behind Act of 2001. (2002). Pub. L. No. 107–110, 115 Stat. 1425.
21.
Ohio Department of Education. (2004). Statistical summary of March 2003 grade four and six proficiency tests.Columbus, OH: Office of Assessment.
22.
Ohio Revised Code/Title XXXIII Education-Libraries/Chapter 33:01 Department of Education/[3301.07.10] 3301.0710. Statewide Program to Test Student Achievement; Graduation Tests,
23.
Peters, E. B. (1973). A study of student attitudes relating to certain instructional and socio-economic factors in junior high school general music classes in eight Baltimore City public schools. (Doctoral dissertation, University of Maryland, College Park). Dissertation Abstracts International, 35 (02), 1147.
24.
Robitaille, J. P. , & O'Neal, S. (1981). Why instrumental music in elementary schools?Phi Delta Kappan, 63, 213.
25.
Schneider, T., & Klotz, J. (2000, November). The impact of music education and athletic participation on academic achievement [Abstract]. Paper presented at the annual meeting of the Mid South Educational Research Association, Bowling Green, KY.
26.
Taebel, D. , & Coker, J. (1980). Teaching effectiveness in elementary classroom music: Relationships among competing measures, pupil productivity measures, and certain attribute variables. Journal of Research in Music Education, 28, 250–264.
27.
Wallick, M. (1998). A comparison of Ohio Proficiency Test results between fourth-grade string pullout students and those of matched ability. Journal of Research in Music Education, 46, 239–247.
28.
Young, W. (1971). The role of musical aptitude, intelligence, and academic achievement in predicting the musical attainment of elementary instrumental music students. Journal of Research in Music Education, 19, 385–398.
