Data Must Speak: Unpacking Factors Influencing School Performance in Nepal

Joint efforts by the Government of Nepal, development partners and key stakeholders to achieve SDG 4 by 2030 have improved education access, participation and retention. However, learning outcomes in Nepal remain stagnant. What resources and contextual factors are associated with good school performance in Nepal? By merging and analyzing existing administrative datasets in Nepal, this report helps to identify positive deviant schools -- those that outperform other schools despite sharing similar contexts and resources. Data Must Speak -- a global initiative implemented since 2014 -- aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance Research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about 'what works', 'why' and 'how' to scale grassroots solutions for national policymakers and the broader international community of education stakeholders. DMS research is currently being implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People's Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia. [The Data Must Speak (DMS) Positive Deviance research in Nepal is a collaborative effort made possible by the commitment of the Nepal Ministry of Education, Science and Technology (MoEST), UNICEF Nepal, UNICEF Office of Research - Innocenti and key partners from Nepal's education sector.]