In Sierra Leone and Cote d’Ivoire, data on gender attitudes have been used as a discussion point with community members who have volunteered to be Gender Champions – leading their communities in identifying gender disparities and developing their own strategies to work towards gender equality. In Niger, these data suggest that parents want to send their girls to school. Thus, rather than trying to build demand for girls education, in this context the most effective strategies will likely be those that help parents address the logistical and financial obstacles to sending girls to school, and ensure that learning environments are safe and gender inclusive.In terms of measurement, these pilots are informative, but they are only the beginning. For one thing, the data we have does not allow us to differentiate between what respondents thinks they “should” say, versus what they actually believe and do in practice. However, it is worth mentioning that both are important. Knowing what respondents think is the “appropriate” response is a good indication of which norms are most salient to a given population group. Mackie, Moneti, Shakya and Denny (2015) offer an excellent description of how to isolate these constructs.When we first started piloting these tools a little over a year ago there were very few examples of open-source tools that we could draw from. Recently a team of researchers at Johns Hopkins Bloomberg School of Public Health and the World Health Organization have made available a suite of tools to measure gender norms among adolescents aged 10 to 14. These tools have been rigorously piloted through an iterative qualitative and quantitative process in 15+ sites globally, as part of the Global early Adolescence Study. There are also alternatives ways to ask adults about gender norms, such as notions of masculinity (for example, the International Men and Gender Equality Survey by Promundo and partners).
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Recent Posts
- Reading Nov-Dec 2025 and Jan 2026
- AI as an existential threat – Kevane preliminary draft
- “What can it do?” A living list of computational problems that deep learning/AI/neural nets can or seems likely to “do” (at varying cost and efficacy)
- Reading August-September 2025
- The typical popular sci-fi version of AI posing an existential risk?
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Friends of African Village Libraries (I post regularly here)- Visite du Centre de Lecture et d’Études de Béréba par le coordonnateur de ABVBF
- Animation d’une séance de lect ure à la bibliothèque de Bougounam
- Annual report for 2025 of partner organization in Burkina Faso ABVBF
- Actions récents de l’animateur de ABVBF, Burkina Faso
- Animation d’u e séance de discussion à la bibliothèque de Niankorodugou
- Rencontre d’une équipe de Amis des Bibliothèques de Villages du Burkina Faso (ABVBF) avec le DPEPPNF du Tuy
- Rapport de mission de l’équipe de ABVBF au CEG de Dossi
- Rapport de sortie à la bibliothèque de Dimikuy, Burkina Faso
- Rapport de sortie à la bibliothèque de Dohoun
- Préparation d’un don de livres CMH aux élèves du CEG de Dossi