Wesley Yung and Claude Poirier 2015 World Statistics Congress CSPA from a Methodologist’s Point of View
Outline StatCan’s involvement As a provider As a recipient Some Observations Points to Consider Final Thoughts 2 7/31/2015 Statistics Canada Statistique Canada
StatCan’s Involvement: Provider StatCan has been developing generalized systems for many years (since the mid 1990s) Some of these systems are now quite mature StatCan has shared some of these mature systems G-Code: Automated coding BANFF: Edit and imputation CANCEIS: Edit and imputation These are now CSPA compliant and are available as services, free of charge 3 7/31/2015 Statistics Canada Statistique Canada
StatCan’s Involvement: Provider G-Link shared with ABS and SNZ A CSPA compliant version coming soon? How has StatCan benefited from sharing these systems? Improved knowledge through feedback from users Larger network of contacts Additional validation of our products Identification of areas for improvement/additional functionalities Increased visibility of our products 4 7/31/2015 Statistics Canada Statistique Canada
StatCan’s Involvement: Recipient StatCan’s requirement was confidentializing its real time remote access output ABS’s Data Analyser (DA): An online analytical tool that ensures output is confidential Unfortunately, the DA did not fit StatCan’s IT architecture StatCan removed the ABS GUI and developed its own which is CSPA compliant 5 7/31/2015 Statistics Canada Statistique Canada
StatCan’s Involvement: Recipient Three services needed to be developed Build data sets – create new variables, datasets or subsets EDA – tabular or graphical formats Statistical models – linear regression, generalized linear and multivariate models All outputs are confidentialized using the ABS disclosure control methods Mostly perturbation based 6 7/31/2015 Statistics Canada Statistique Canada
StatCan’s Involvement: Recipient Benefits to StatCan Even though StatCan had to wrap the DA, significant time and money were saved Three months IT development versus three years multi- disciplinary work Exposure to new methods and ways of doing things Disclosure control methods different than ABS ABS has solid reputation, so StatCan is comfortable with the validity of methods 7 7/31/2015 Statistics Canada Statistique Canada
Some Observations CSPA is a logical next step Many agencies (StatCan included) have been working to standardize processing systems within their organizations CSPA offers a way to standardize systems across agencies What is the role of the proposed Methodology Architecture? Perhaps as a way to identify gaps in CSPA services? 8 7/31/2015 Statistics Canada Statistique Canada
Some Observations CSPA will make it easier to setup processing systems but... Methodology evolves Need to ensure that work on new methods continues These new methods then need to be made into CSPA compliant services How granular these new services should be is up for debate These CSPA compliant services can then be easily evaluated for appropriateness of use 9 7/31/2015 Statistics Canada Statistique Canada
Points to Consider Is duplication of services a good or bad thing? BANFF (SAS) vs Editrule (R) CSPA compliant services can be seen as pre- packaged systems Pre-packaged but not final! Need to ensure that packages don’t become stale Where is the line between CSPA services driving or influencing sample designs? Survey methods should continue to be defined by methodologists, not the availability of tools/services 10 7/31/2015 Statistics Canada Statistique Canada
Points to Consider Who is responsible for supporting these CSPA services? The agencies who developed them? The agencies who wrapped them? The Statistical Modernization Community? The CSPA user community? Who decides what will be wrapped? Based on need only? What if there are competing packages? 11 7/31/2015 Statistics Canada Statistique Canada
Final Thoughts CSPA is a good thing But like all good things, we have to be careful what we make of it /31/2015 Statistics Canada Statistique Canada
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