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Data Must Speak: Unpacking factors influencing school performance in Niger

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Abstract

Niger has developed an Economic and Social Development Plan (PDES) aligned with the Sustainable Development Goals (SDGs), in particular target 4.1 which aims, by 2030, to ensure that all girls and boys attend, on an equal footing, a full cycle of free, quality primary and secondary education, leading to truly useful learning.

What resources and contextual factors are associated with good school performances in Niger? By merging and analyzing existing administrative datasets in Niger, 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 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. 

Author
Samati, Komlan Nouwokpo
Le Nestour, Alexis
Comba, Renaud
Corporate Author
UNICEF Innocenti - Global Office of Research and Foresight
Year of publication
2023
Pages
57
Country (Geographical area)
Source database
library
Language
Project
Data Must Speak, DMS