The Total Survey Error (TSE) paradigm embodies the best principles, strategies, and approaches for minimizing the survey error from all sources within time, costs, and other constraints that can be imposed on the survey. This approach can be viewed as resting on the four pillars of survey methodology: survey design, implementation, evaluation, and data analysis. This course provides an overview of the TSE paradigm as it applies to one critical source of error: nonresponse. Structured around these four pillars, the course presents the best methods and lessons learned for dealing with nonresponse in survey, data collection, data analysis and evaluation. The survey focuses particularly on the interactions of response mechanism with other error sources and how nonresponse interventions can lead to unintended consequences for TSE.

THE INSTRUCTOR
Paul Biemer holds a joint appointment with the Odum Institute and RTI International, where he is a Distinguished Fellow. He also holds adjunct faculty appointments in the University of Maryland Joint Program for Survey Research and in the University of Michigan Survey Research Center. Biemer has more than 35 years of experience in survey methods and statistics. He specializes in evaluating survey quality and is a leading expert on statistical modeling, analysis, and interpretation of survey results. Biemer has a Ph.D. in statistics from Texas A&M University. His research interests include: Measurement error in surveys; nonsampling error modeling and estimation; general survey methodology and statistical methods. Biemer teaches several short courses for the program including: Introduction to Survey Quality, An Overview of Methods for Evaluating Survey Error, and Techniques for Modeling Survey Measurement Error.

This class will be count for 4.0 CPSM short course credit hours.

Registration Fees:

• CPSM Students - $30
• UNC Students - $40
• Other - $60