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American Association for Public Opinion Research

Webinar Details

Planning and Implementing Responsive Designs

James Wagner
Tuesday, April 14, 2015
10:00 - 11:30 AM CDT/ 11:00 - 12:30 PM EDT/ 8:00 - 9:30 AM PDT

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About This Course:

Surveys are frequently designed with a great deal of uncertainty about key parameters. Responsive designs are a strategy for dealing with this uncertainty. These designs identify potential risks related to costs or errors, develop indicators for tracking these risks, and then plan design changes for controlling these costs or errors. These responsive design options are triggered if the indicators cross pre-specified thresholds. This presentation starts from a definition of the basic principles of responsive and adaptive designs and then provides concrete examples of the implementation of these designs. These examples are drawn from a variety of settings, including face-to-face, telephone, and mixed-mode surveys.

Learning Objectives:

  • Describe the basic principles of responsive and adaptive survey designs.
  • Identify situations where responsive designs may be appropriate.
  • List several responsive design options that may be used in a variety of settings.

About the Instructor:

James Wagner is a Research Assistant Professor at the University of Michigan’s Survey Research Center. James completed his PhD in Survey Methodology in 2008 at the University of Michigan. His research is in the area of nonresponse. Recently, he has been examining indicators for the risk of nonresponse bias and how they might be used to improve data collection. In addition, he is interested in responsive design techniques aimed at improving the quality of survey data. He has published articles in a variety of journals including Public Opinion Quarterly, Journal of Survey Statistics and Methodology, Statistics in Medicine, the Journal of Official Statistics and others. He also has a great deal of experience with sample design and has worked on a large variety of samples. He is currently the Chief Mathematical Statistician for the National Survey of Family Growth.