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Data Must Speak: Unpacking factors influencing school performance in Togo

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Abstract

The Togolese government, through the education sector plan (ESP) 2014-2025, aims to achieve universal quality primary education. With this goal, they recognize the challenges in education access, participation and retention. School performances is among the areas by which they are understanding and addressing these challenges. 

What resources and contextual factors are associated with good school performances in Togo? By merging and analyzing existing administrative datasets in Togo, 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
Dzegle, Yawo Kekeli
Tchewafei, Agoura Badja
Agbagnon, Ayao
Le Nestour, Alexis
Samati, Komlan
Corporate Author
UNICEF Office of Research - Innocenti
Year of publication
2022
Pages
62
Country (Geographical area)
Source database
library
Language
Project
Data Must Speak, DMS