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American Association for Public Opinion Research

Webinar Details

Extending the Total Survey Error Perspective to Multiple-Surveys and Big Data

Tom W. Smith
Tuesday, September 20, 2016
12:00 - 1:30 PM CDT/ 1:00 - 2:30 PM EDT/ 10:00 - 11:30 AM PDT

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About This Course:

The total survey error (TSE) paradigm was originally developed to apply to single surveys. As such it is both a theoretically and an empirically powerful approach to identifying and reducing survey error and thereby increasing reliability and validity. IN this presentation, TSE is applied to multiple surveys and to the use of auxiliary information from so-called Big Data and other sources.

Learning Objectives:

  • Learning about the total survey error (TSE) paradigm.
  • Applying TSE to multiple surveys.
  • Incorporating Big Data into the TSE paradigm.

About the Instructor:

AAPOR-September-Webinar_Photo_small.jpgTom W. Smith is an internationally-recognized expert in survey research specializing in the study of societal change and survey methodology. He is Director of the Center for the Study of Politics and Society at NORC, University of Chicago. Since 1980 he has been a principal investigator of the National Data Program for the Social Sciences and director of its General Social Survey (GSS). This is the largest and longest-term project supported by the Sociology program of the National Science Foundation. The mission of the GSS is to monitor changes and consistencies in American society and to develop models to explain change (or stability).

He is also co-founder of the International Social Survey Program (ISSP). He was Secretary General of the ISSP in 1997-2003. The ISSP is the largest cross-national collaboration in the social sciences. It has conducted an international survey annually since 1985 and has involved 58 nations.

This webinar is sponsored by Nielsen_ColourLogo2_small.jpg