Understanding Differences Across Data Sets
Estimates of disability prevalence within the same country often vary across data sources. These differences may reflect the use of different definitions of disability, different question sets to identify the population with disabilities and different methods of data collection. These variations can create confusion for policymakers, researchers, and other data users.
The session will first explain how definitions of disability, question design and data collection methods influence who is identified as having disabilities. It will then present examples of prevalence estimates across data sources and illustrate how the choice of a data source can affect disaggregation of outcome measures by disability status. It will conclude with a panel discussion focused on practical guidance for data users including how to select appropriate data sources, interpret differences across datasets and communicate about variations in disability prevalence estimates.
When: Tuesday, May 5th, 8:00 EDT
Where: Zoom
Duration: 1 hour 15 minutes (75 minutes)
Featured Speakers:
Jennifer Madans, Washington Group on Disability Statistics (WG) and Center for Inclusive Policy (CIP), Moderator
Daniel Mont, Center for Inclusive Policy (CIP)
Sophie Mitra, Professor, Fordham University, and Founder, Disability Data Initiative (DDI)
Elizabeth Lockwood, CBM Global Disability Inclusion, Representative at the United Nations
The webinar will be conducted in English, and will be recorded and made available after the event. International Sign (IS) interpretation and live captioning will be provided. Please complete this short form to confirm your participation.
For any questions, you may contact us at office@inclusive-policy.org or paulina.ricci@inclusive-policy.org
Warm regards,
Center for Inclusive Policy