Innovative statistical methods for large-scale surveys
Category: International Association of Survey Statisticians (IASS)
Abstract
Surveys continue to represent one of the main data collection approaches used by government agencies and other organizations. The environment in which these surveys are being conducted is increasingly challenging, so that the statistical methodologies need to continue to improve to address these challenges. In this session, four presentations from junior and senior researchers from academia, government and industry discuss recent survey research topics covering survey methodology, design-based and model-based survey estimation, and modeling with survey data. The speakers and titles are as follows:
1. Jay Breidt (National Opinion Research Center at University of Chicago, USA), “Combining Data Sources to Produce Nationally Representative Estimates of Hospital Encounter Characteristics”
2. Laura Gamble (Westat, USA), “Evaluation of Key Performance Indicators for Interviewer Falsification Suspicion from Paradata and Interview Data”
3. Maria Giovanna Ranalli (Università degli Studi di Perugia, Italy), “Model-assisted indirect small area estimation”
4. Eric Slud (Census Bureau, USA), “Design-based Calibration following Model-based Base-weights”.