International Total Survey Error Workshop (ITSEW - 2018)

MDC Conference room

The International Total Survey Error Workshop (ITSEW) brings together survey researchers, practitioners, and methodologists (especially in national statistics offices) to foster exchange of ideas and preliminary research findings toward a better understanding of total survey error.  It has been held annually since 2005 and typically gathers 50-60 attendees.

The goals of the workshop include

  • Reviewing progress on important TSE problems 
  • Defining current data quality problems in detail, and articulating a research agenda to address them 
  • Forming research collaborations to carry out needed research 
  • Identifying emerging research needs at an early stage

The 2018 ITSEW will be held June 4-6 in Durham, North Carolina.

Hosted by the Duke Initiative on Survey Methodology and The Odum Institute for Research in Social Science at the University of North Carolina, the event will be held in vibrant downtown Durham at MDC.

photo of Roger TourangeauThe workshop will feature a keynote address by Dr. Roger Tourangeau, Vice President at Westat and past president of the American Association for Public Opinion Research (AAPOR).

Abstract submissions (DUE BY February 16, 2018) are invited for papers to be presented at the 2018 International Total Survey Error Workshop. Submit an Abstract

 The theme of the workshop is “Approaches for Mitigating Total Survey Error (TSE) and Its Effects.”  Consistent with this theme, we are especially interested in topics such as adaptive design and data collection strategies, methods for combining and analyzing data from multiple sources, and minimizing TSE when using non-probability surveys. However, we welcome any topics related to TSE.

Organizing Committee

D. Sunshine Hillygus, Professor of Political Science and Public Policy, Duke University

Ruben BachInstitute for Employment Research (IAB)

Annamaria BianchiDepartment of Management, Economics, and Quantitative Methods, University of Bergamo, Italy

Paul P. BiemerRTI International, The Odum Institute for Research in Social Science at the University of North Carolina

Alexandra CooperDuke’s Social Science Research Institute, Duke Initiative on Survey Methodology

David Dolson, Statistics Canada

Teresa P. Edwards, The Odum Institute for Research in Social Science at the University of North Carolina

Alan KarrRTI International

       
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