An expanding body of research on representative bureaucracy is dedicated to investigating the individual level effects of gender representation on student academic performance (e.g., Xu & Meier, 2021; Zhang, 2019; Doornkamp et al., 2021). The dominant expectation in these studies is that student-teacher gender congruence positively affects academic performance. At the same time, bureaucratic representation may also function at the organizational level, where bureaucrats may influence clients they do not directly interact with (Keiser et al. 2002; Meier & Nicholson, 2006; Favero & Molina, 2018). This study contributes to the literature on representative bureaucracy by examining how individual level student performance is associated with representation in portions of the school with which students do not (always) directly interact, both in terms of management composition (vertical) and staff composition (horizontal).
We hypothesize that both management composition and staff composition moderate the relationship between student-teacher gender congruence and student performance. As the proportion of women in management positions increases, the impact of student-teacher gender congruence on the performance of female students increases. This is because increased female representation in management is likely to foster an internal environment supportive of representative advocacy (Keiser et al., 2002). Additionally, as the number of female teachers increases, critical mass effects come into play (Keiser et al., 2002; Meier & Xu, 2023), and the influence of student-teacher gender congruence on student performance grows. Furthermore, we explore contagion effects (Atkins and Wilkins, 2013; Li, 2021; Meier & McCreab, 2022) by investigating whether female students under male teachers (i.e., lacking congruence) exhibit improved performance when those male teachers work in an environment with a higher proportion of female colleagues.
To empirically test our hypotheses, we use a unique longitudinal dataset consisting of 400,685 students nested within 193 Dutch secondary schools, covering the entirety of students’ academic journeys. This dataset includes student-level information such as gender, subject-specific academic performance, and teacher gender by subject and year, as well as school-level data like gender distribution among school management and teaching staff, and total student enrollment. This comprehensive dataset also permits us to explore the hypotheses pertaining to both female and male gender congruence, ensuring a comprehensive analysis.
References:
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