Cal for abstracts: International Total Survey Error Workshop 2015
Sep 18 2014
Submission of abstracts for contributed papers and abstracts for topic contributed sessions for the 2015 International Total Survey Error Conference (TSE15) is now available.
The conference will highlight use of the Total Survey Error framework to understand and address issues of data quality in official statistics and in survey, opinion, and market research. The field of statistics is undergoing a revolution as data sets get bigger (and messier), and understanding the potential for errors and the various means to control and prevent them is more important than ever. At the same time, survey organizations are challenged to collect data more efficiently without sacrificing quality.
We are accepting submissions of abstracts for both topic contributed sessions (made up of 3-5 papers, or 3-4 papers and a discussant) and abstracts for individual contributed papers.
Session abstracts are due December 1, 2014 and individual paper abstracts are due February 2, 2015.
Organizers of proposed sessions must submit an abstract of the session, the names of at least 3 presenters in the session and tentative titles of their papers. If the proposed session is accepted for the conference, the proposed presenters will be notified and asked to submit abstracts of their individual papers for the session.
The following topics are of particular interest at the TSE15 conference:
- Relationships and interactions among two or more survey error sources; for example, nonresponse vs. measurement error, sampling vs. coverage error, modeling vs. specification error, and so on
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Applications of the TSE paradigm in novel areas, such as:
- market and opinion research
- Web surveys; multi-mode surveys; panel surveys
- cross-national and cross-cultural research
- surveys conducted with mobile devices or innovative technologies
- natural resource, agricultural, education and establishment surveys
- Innovative uses of Big Data to evaluate and mitigate survey errors
- Challenges to or critiques of the TSE paradigm
- Explorations of the quality of “Big Data” data sets themselves, and how these errors affect their use in research and official statistics
- Evaluations of the errors induced or moderated when combining survey data with other data sources
- Simulation studies of the effects of multiple error sources on data quality
- Reviews of the literature and meta-analyses of Total Survey Error and its impact on survey methodology
- Exemplary studies of nonsampling error components and their findings
- Approaches for reducing survey errors during data collection, including paradata applications, adaptive survey designs accounting for multiple errors, and visualization techniques for monitoring and intervening during data collection
- Shifting the paradigm to encompass other quality measures (timeliness, relevance, goodness of fit, etc.)
- The role of the TSE paradigm in survey management and quality control and quality assurance.
For more information on the conference, please visit conference homepage.
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