Tag: logistic regression

RTRL.48: Predictors of Music Class Enrollment in Urban Middle/High Schools (Kinney, 2019)

Source:

Kinney, D. W. (2019). Selected nonmusic predictors of urban students’ decisions to enroll and persist in middle school and high school music ensemble electives. Journal of Research in Music Education, 67(1), 23-44.

What did the researcher want to know?

Who enrolls in urban middle school and high school music classes?

What did the researcher do?

Kinney obtained student demographic information from one large midwestern metropolis area. This district was comprised of mostly minority students (62% Black, 26% Caucasian, 9% Hispanic, 3% Asian, <1% Native American), and 78.5% of students were enrolled in free/reduced lunch programs. Since elective choices began in 6th grade in this district and state standardized tests were administered in 6th, 8th, and 10th grades, Kinney collected data for students in those three grades.

Kinney assembled a database that indicated whether each student in 6th, 8th, and 10th grade was enrolled in band, strings, or choir. This database also included the following information for each student:

  • reading achievement test score
  • math achievement test score
  • free/reduced lunch status (as an indicator of SES)
  • number of parents/guardians in the home
  • district mobility (whether the student had moved into the district in the past year),
  • school mobility (whether the student had transferred schools within the district in the past year)
  • ethnicity
  • sex

Kinney used these factors as variables in conducting a multinomial logistic regression to build a predictive model for initial 6th grade enrollment and 8th/10th grade enrollment/retention in band, orchestra, and choir.

What did the researcher find?

Statistical analyses revealed the following student characteristics to be significant predictors of whether a student was more or less likely to enroll in elective music classes at each grade level:

What does this mean for my classroom?

Results suggest that students with higher math achievement are more likely to participate in instrumental music in urban schools. However, the fact that this was consistent across the span of grade levels suggests “that higher achieving students are attracted to instrumental programs from the outset and that systematic differences between this population and the general school population remain relatively stable over time” (p. 36). This provides evidence against the common argument that participation in music raises standardized tests scores and instead implies the difference lies in who chooses to participate in instrumental music in the first place.

Band teachers should be aware that student SES can predict whether a student participates in band. Teachers should be conscious of the fact that SES can be a limiting factor for student enrollment and find ways to make access to band class accessible to students who might struggle to afford an instrument or other supplies.

High school band programs typically involve various before- and after-school requirements (e.g., marching band, pep band), which may be why students from two-parent/guardian homes were more likely to participate in band in high school. It is possible that single-parent/guardian homes encounter more challenges in navigating these extra activities. For example, a single parent who works the night shift may not be able to transport their child to or from before- or after-school activities. High school band teachers should be aware of these challenges and work to mitigate them so that all students have equal opportunity to participate.

Finally, teachers should be aware of the ways in which enrollment trends may reflect racial and gendered “norms” of who participates in band, orchestra, or choir. Only band reflected a more balanced enrollment of males and females, while females were two to three times as likely as males to enroll in orchestra or choir. While race/ethnicity trends varied across grade levels and ensemble types, the data implies that white students tend to more consistently enroll in ensemble classes. Teachers can be mindful of these trends in their recruiting efforts, and all music educators can work to defy racial/ethnic and gender stereotypes in the repertoire they choose, the materials they use, and the musicians who are represented in their classrooms. “Through deliberate, conscientious efforts to reach students often underserved by music ensemble offerings, teachers will no doubt create a more democratic, equitable, and viable elective choice for all” (p. 41).

RTRL.27: Who Enrolls in High School Music? (Elpus & Abril, 2019)

 

Source:

Elpus, K., & Abril, C. R. (2019). Who enrolls in high school music? A national profile of U.S. students, 2009-2013. Journal of Research in Music Education, 67(3), 323-338.

What did the researchers want to know?

What proportion of U.S. high school students enroll in ensemble and non-ensemble music courses, and what are the characteristics of students who enroll in ensemble music courses?

What did the researchers do?

Elpus and Abril utilized existing data on 25,210 high school students gathered via a nationally representative longitudinal study that followed students at 940 U.S. high schools. These data included demographic characteristics (e.g., sex, SES, race/ethnicity, prior academic achievement) as well as information from students’ high school transcripts, including whether they participated in a high school ensemble or non-ensemble music class. Elpus and Abril used bivariate and multivariate statistical analyses to identify demographic characteristics of music and nonmusic students and to investigate the unique impact of each characteristic.

What did the researchers find?

Of the students who graduated in 2013, 24% had enrolled in one or more music ensembles during at least one year of high school. Choir had the largest percentage of participation (13%), followed by band (11%) and orchestra (2%). In terms of non-ensemble courses, only 3% of students had enrolled in a guitar class, 3% in a piano class, and less than 1% in a music technology course.

The table below shows cross-tabulations for the entire sample, ensemble students, and each type of ensemble:

Characteristics of Music Ensemble Students and the Full Population
(Elpus & Abril, 2019)

Statistical analysis revealed that differences between instrumental and non-instrumental were statistically significant in every characteristic except birth-assigned assigned sex. In contrast, choir students did not differ significantly from non-choir students for any characteristic except for birth-assigned sex.

In order to investigate the unique impact of each demographic characteristic, Elpus and Abril used logistic regression, which is a statistical analysis that attempts to “control for” (i.e., remove the effects of) certain variables. These results showed that the probability of enrolling in an ensemble music class increases with SES as well as with prior academic achievement (as measured by a standardized algebra test). However, the latter was not true for Black/African American students, for whom “the likelihood of ensemble enrollment decreases as academic achievement increases” (p. 331).

It is also interesting to note that the effects of SES and prior academic achievement were not significant among choir students. When looking at each type of ensemble separately, SES only predicted enrollment among band vs. non-band students, while prior academic achievement only predicted enrollment among instrumental vs. non-instrumental students. With the exception of gender, choral students were more representative of the larger student population than band/orchestra students.

What does this mean for my classroom?

Elpus and Abril’s findings confirm that ensemble music courses are the most prevalent music offerings among U.S. high schools. We need to continue to think about how we might attract more students to participate in school music through non-ensemble courses. However, band and orchestra are disproportionately likely to enroll students of higher SES and higher prior academic achievement. Therefore, Elpus and Abril state, “the problem may not be in increasing the number of students in music courses (which is commonly heard in professional rhetoric) so much as ensuring that music courses are attracting a representative and wide cross-section of the general student population” (p. 334). As music educators, we can be aware of which types of students may tend to be less likely to enroll in ensemble music classes and actively work to recruit these students. 

Additionally, it is worth contemplating possible reasons why choir enrollment tends to be more reflective of the general population. Elpus and Abril suggest several possibilities:

  • The versatility of the singing voice and wide range of cultures and styles in choral music “might be more attractive to students from varying cultural backgrounds” (p. 335)
  • Choir may be “more readily available as an avenue of ensemble music-making for those high school students who, for any of a variety of reasons, did not begin to develop proficiency on a band or orchestra instrument in their earlier schooling” (p. 335).
  • “Choirs may require less time commitment and financial demands than band, which possibly makes them more attractive to students who have familial or work commitments and those of more limited financial means” (p. 335).

Based on these speculations, the following types of questions warrant reflection:

  • How might we increase the appeal and relevance of music course offerings to students from varying cultural backgrounds?
  • How might we provide avenues of entry into high school instrumental music classes for students who haven’t previously participated?
  • What time, financial, or other constraints may deter some students from participating in ensemble music classes? 
    • Are we being reasonable with the amount of time we expect from students outside of regular school hours?
      • Might our attendance and/or grading policies unfairly penalize students with work or family commitments?
      • Do we make the effort to truly listen to and take into consideration a student’s personal situation when they have a conflict?
    • What might be all the monetary costs—both obvious and hidden—to instrumental music participation (e.g., instrument rental/purchase, uniform fees, reeds and other supplies, private lessons)?
      • How realistic are these costs for students of lower SES? 
      • How might we help find ways to ease this financial burden and ensure that every student has the opportunity to participate and be successful in instrumental music?