Source:

Pickering, S., & Repacholi, B. (2002). Modifying children’s gender-typed musical instrument preferences: The effects of gender and age. Sex Roles, 45(9-10), 623-643.

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?

Do older students perceive stronger gender stereotypes among musical instruments than younger students? Can exposure to counter-stereotyped musicians affect students’ instrument preferences?

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?

Pickering and Repacholi conducted a study involving 156 kindergarten students and 158 fourth-grade students. They showed the students videos of high-school musicians playing one of eight instruments that had previously been identified as either feminine (flute, violin, clarinet, cello) or masculine (drum, saxophone, trumpet, trombone) by Australian adults. The musicians wore school uniforms and all played the same musical excerpt. Participants were divided into three groups: one who viewed videos that aligned with gender stereotypes (e.g., females playing “feminine” instruments and males playing “masculine” instruments), one who viewed “counter-stereotyped” musicians (e.g., males playing “feminine” instruments and females playing “masculine” instruments), and one who simply viewed a static image of the instrument (with no musician visible). Pickering and Repacholi had each student view their assigned videos individually (in a room separate from their classroom) and then asked them which instrument they would most like to play.

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?

Students in the control group (who saw static images rather than musicians) were significantly more likely to select instruments consistent with gender stereotypes than those inconsistent with gender stereotypes. There were, however, no significant differences in stereotyping by gender or age.

When all three groups were compared, Pickering and Repacholi found that students in the control group and the gender-consistent group were equally likely to prefer gender-consistent instruments. However, students exposed to the counter-examples were significantly less likely to choose gender-consistent instruments.

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:

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?

The issue of gender-stereotyping of instruments persists in music education. However, the results of this study suggest that exposing students to musicians who defy gender stereotypes can help them resist rather than perpetuate these stereotypes. When choosing audio/video or live examples for use in the music classroom, music educators should be conscious of who is represented and work to actively combat gender stereotypes. In addition to noticing the gender of instrumentalists featured in the music classroom, teachers should also pay attention to the gender of composers and conductors so that students see women represented in these roles. Music educators might also notice who is (or is not) represented in our professional materials, such as textbooks and journals. (For example, this study shows that women have been much less likely to be represented as conductors in photographs published in the Music Educators Journal.) Similarly, teachers can notice the race/ethnicity of those who are represented. This noticing is the first step to taking action in ensuring that the representation in our classrooms is one that allows ALL students to see themselves represented in a diversity of musical roles.

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?