Seminar on Responsive and Adaptive Survey Design

Over the last decades survey environment had been changing dramatically, facing different challenges and opportunities such as high pressure over respondent participation rates, which consequently raises survey costs, the use of administrative records and big data as a key additional data source, the possibility of using real-time analysis of paradata, or process data to design and manage surveys and the introduction of diverse methods to enhance survey data quality and minimize survey costs.

Responsive and Adaptive Survey Design (RAD), bring out the possibility to develop solutions for this challenging survey environment. Chun, Heeringa and Schouten (2018) defined these designs as a “data-driven scientific approach to controlling survey design features in real-time data collection by monitoring explicit costs and errors of survey estimates that are informed by auxiliary information, paradata, and multiple sources of data” … “RAD works toward a goal of survey optimization based on cost-error trade-off analysis and evidence-driven design decisions, including the most efficient allocation of resources to survey strata”.*

The National Institute of Statistics and Geography and the Research Institute on Applied Mathematics and Systems, from the National Autonomous University of Mexico, are conscious of the need to develop surveys with responsive and adaptive designs, as possible solutions to incorporate different data sources, collect data in multiple modes, improve data quality and minimize survey cost.

Therefore, we decided to bring together in this seminar a keynote speech and different talks on solutions developed by researchers from different institutions as well as round tables, taking into consideration recent developments on responsive and adaptive survey design in the survey methodology literature. This format will bring the opportunity to enrich the process, quality and cost of Mexican surveys by exchanging experiences between the authors and Mexican practitioners, such as INEGI´s survey officers.

*Asaph Young Chun, Steven G. Heeringa and Barry Schouten/, Responsive and Adaptive Design for Survey Optimization, Journal of Official Statistics vol. 34, 3 (September 2018).

To Present the possibilities that responsive and adaptive survey designs can offer to a complex and challenging survey environment.

Directed to researchers from IIMAS-UNAM and officers from INEGI, as well as people in charge of surveys from the private and public sectors, both survey methodologist and survey managers, academicians, graduate students, and those interested in information analysis.