Statistics Canada's Disaggregated Data Action Plan: Best Practices and Analytical Guidelines

Statistics Canada's Disaggregated Data Action Plan: Best Practices and Analytical Guidelines

Centre de recherches mathématiques - CRM via YouTube Direct link

Engagement and Communications

14 of 22

14 of 22

Engagement and Communications

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Statistics Canada's Disaggregated Data Action Plan: Best Practices and Analytical Guidelines

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction
  2. 2 Presentation Overview
  3. 3 Why disaggregate data
  4. 4 Guiding Principles
  5. 5 Analytical Insights Working Group
  6. 6 Systematic Approach to Research
  7. 7 Necessity and Proportionality Framework
  8. 8 Ethical Issues
  9. 9 Sources of Data
  10. 10 Confidentiality
  11. 11 Small sample size
  12. 12 Population groups
  13. 13 Interpreting data
  14. 14 Engagement and Communications
  15. 15 Challenges
  16. 16 Six Guiding Principles
  17. 17 Recent Publications
  18. 18 Data Literacy Training
  19. 19 Data Analysis Training
  20. 20 Key Messages
  21. 21 Thank You
  22. 22 Questions

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.