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2016 - Demographic Characteristics of High School Math and Science Teachers and Girls’ Success in STEM

Attribution: Stearns, Elizabeth, Bottia, Martha C., Davalos, Eleonora, Mickelson, Roslyn A., Moller, Stephanie, & Valentino, Lauren
Researchers: Eleonora DavalosElizabeth StearnsLauren ValentinoMartha C. BottiaRoslyn A. MickelsonStephanie Moller
University Affiliation: University of North Carolina at Charlotte; Duke University
Email: Elizabeth.stearns@uncc.edu
Research Question:
To investigate whether a more heavily female math and science teaching staff in high school has an average positive effect on female students in the high school. Also, to determine whether any results are specific to one racial group and, finally, whether the intersection of race and gender for a teacher matters for those STEM outcomes.
Published: Yes
Journal Name or Institutional Affiliation: Social Problems
Journal Entry: Vol. 63, Pp. 87-110
Year: 2016
Findings:
  1. Young white women are more likely to major in STEM fields and to graduate with STEM degrees when they come from high schools with higher proportions of female math and science teachers, irrespective of the race of the teacher. At the same time, these teachers do not depress young white or African American men’s chances of majoring in STEM. Results for African American women are less conclusive, highlighting the limitations of their small sample size.
  2. White female students STEM outcomes are not associated with the proportion of white female math and science teachers, but with female math and science teachers more generally.
  3. Proportion of students that received free or reduced lunch and proportion of students that were white at a school did not have a significant effect on declaring a STEM major or graduating in STEM.
  4. Female math and science teachers, as potential passive and active representatives of white girls’ interests in math and science within the school bureaucracy, can open STEM fields of study to white girls in ways that male math and science teachers may not.
  5. As passive representatives, female teachers in science and mathematics can be particularly important in overcoming the pervasive normative association between success in math and science and masculinity.
  6. More active representation implies that female teachers “open” the field more to girls by pushing them to take risks and go against stereotypes and by raising young women’s confidence and reducing the uncertainty about the benefits of further education.
Scholarship Types: Journal Article Reporting Empirical ResearchKeywords: CollegeGenderGender GapsHigh SchoolMathScienceSTEMTeachersRegions: North CarolinaMethodologies: QuantitativeResearch Designs: Secondary Survey DataAnalysis Methods: Descriptive StatisticsInstrumental Variables Sampling Frame:High school to college students
Sampling Types: PopulationAnalysis Units: ClassroomSchoolStudentData Types: Quantitative-Longitudinal
Data Description:
  • The authors utilize the theory of representative bureaucracy. The theory of representative bureaucracy argues that a bureaucracy that is representative of the people it serves will mirror the interests of its clients. There are two forms of representation: passive, which simply denotes that the bureaucracy is demographically representative of the population it serves; and active, wherein members of the bureaucracy undertake direct advocacy of their clients’ interests. The authors combined this theoretical approach with an intersectional approach to inequality, highlighting the intersection of race and gender among both students and high school faculty.
  • The North Carolina Roots data set. This data set contains longitudinal information on the academic performance of all North Carolina public school students from seventh grade through college graduation. The authors focus on a racially, ethnically, and socioeconomically diverse sample of 16,300 college-bound students who attended 540 middle school and 350 high schools in North Carolina and later attended any of the 16 University of North Carolina colleges in 2004.
  • The authors use two dependent variables as indicators of success in STEM: (1) a student declared a STEM major (versus declaring any other non-STEM major) and (2) a student graduated with a STEM major in the six years following his or her entrance into the UNC university system (versus the student graduating from any other major).
  • The key independent variables measure the organizational demography of high school math and science faculty in various ways. First, the authors used the proportion of science and math teachers in a student’s high school who are women. They also measured the proportion of the math and science teachers who were black, the proportion of the math and science teachers who were white females, and the proportion of math and science teachers who were black females.
  • The authors controlled for the following secondary school level variables: racial and socioeconomic composition of the school (proportion of white students at the school and proportion of students on free-reduced lunch at the school); proportion of female students in the school; proportion of teachers with licenses; proportion of teachers with advanced degrees; proportion of inexperienced teachers (those with less than three years of experience); proportion of students in advanced college preparatory courses; and school locale (urban, suburban, or rural).
  • At the individual level, the controlled for the following: race/ethnicity and SES (defined as whether student received free-reduced lunch in seventh grade, received need-based financial aid in college, and is a first generation college student in his or her family). They also control for whether the student transferred schools between ninth and eleventh grades. They also include whether the student plans to attend college, a question that students answered in the ninth grade.
  • Instrumental variable= Percent female math and science teachers at district level (one level above).
Theoretical Framework:
Relevance:Factors Related to STEM Readiness
Archives: K-16 STEM Abstracts
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