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Webinar Details

Weighting Approaches for Dual Frame RDD Surveys

Courtney Kennedy, PhD
Thursday, October 11, 2012

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About this Course

Increasingly, random digit dial (RDD) telephone surveys feature samples of both landline and cell phone numbers.  Researchers have proposed an array of different approaches for weighting dual frame RDD surveys, but there is no consensus on which approach is best.  The goal of this webinar is to provide guidance to applied researchers on how to compute weights for dual frame RDD surveys.  The presentation focuses on the major steps involved weighting, with particular emphasis on the integration of landline and cell phone sample cases.  The strengths and weaknesses of several prominent approaches will be discusses. Researchers will come away with an understanding of how to develop a weighting protocol that will serve the research aims of their particular dual frame RDD survey.


Learning Objectives

  • Identify steps involved in computing weights for a dual frame RDD survey
  • Discuss error source(s) that each weighting adjustment is designed to address
  • Assess bias / variance trade-offs involved in weighting decisions



About the Instructor

ImageCourtney Kennedy is vice president of the Advanced Methods Group at Abt SRBI.  She is responsible for sample design, statistical weighting, and assessment of survey data quality. Dr. Kennedy specializes in complex survey designs, especially those incorporating multiple sampling frames.  She has been conducting research on dual frame random digit dial (RDD) surveys since 2006.  She has recently served as lead statistician for surveys conducted for NOAA, Department of Labor, Pew Research Center, and Stanford University. Prior to joining Abt SRBI, Dr. Kennedy served as senior methodologist for The Everett Group where she performed sampling and weighting for web surveys of U.S. Air Force personnel and general population dual frame RDD surveys. She has served as statistical consultant to the U.S. Census Bureau, Pew Research Center, NBC News, and Newsweek.  She holds a Ph.D. in Survey Methodology, B.S. in Statistics, and B.A. in Political Science from the University of Michigan and a M.S. from the Joint Program in Survey Methodology at the University of Maryland, College Park.