Best Practices in Generating Data on Learners with Disabilities

This brief summarizes best practices in collecting data on learners with disabilities that USAID’s Data and Evidence for Education Programs (DEEP) project gleaned through a tool mapping study and expert and implementing partner consultations. The selection of appropriate data collection tools and the use of appropriate protocols in their application affect the quality and relevance of any resulting data. Given the sensitive nature of individuals’ disability status data, additional considerations must be born in mind when collecting and using them.

Target Outcomes
Academic
Non-academic
TACL-specific
Language: 
English
Target Population
Pre-primary
Lower primary
Upper primary
Secondary
Staff/Adults
Year created/revised: 
2020
Evidence-based and/or insights-driven: 
True
Relevance
3
User Friendliness
3
Keywords: 
Special needs, disability, data disaggregation, cognitive testing, ethical consideration, marginalized children, Accessibility to measurement tools