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.

How to access

Resource Categories

How to monitor student outcomes
What to do with your monitoring data

User Type

Partner MERL/T&S staff

 

Target Outcomes

Academic
Non-academic
TACL-specific
Language
English

Relevance

Relevance: 3 out of 5

Target Population

Pre-primary
Lower primary
Upper primary
Secondary
Staff/Adults
Year created/revised
2020
Evidence-based and/or insights-driven
True

User Friendliness

User friendliness: 3 out of 5

Keywords

Special needs, disability, data disaggregation, cognitive testing, ethical consideration, marginalized children, Accessibility to measurement tools