International Total Survey Error Workshop 2017

hosted by the Institute for Employment Research (IAB)

Congress Centre of the Federal Employment Agency (BA)

Start: 12 Jun 2017

End: 14 Jun 2017

  • Call for Abstracts

    We would like to invite all researchers interested in the Total Survey Error paradigm to submit an abstract to the 2017 edition of the International Total Survey Error Workshop (ITSEW).

    This workshop is aimed at statisticians, survey managers and methodologists, pollsters, public opinion researchers, and marketing research professionals focused on survey quality and the challenges of combined data products. Through presentations and exchange of information the workshop aims to support a better understanding of total survey error.

    The theme of the 2017 workshop is Total Survey Error: Combined data products from a TSE perspective.

    In addition to traditional TSE topics, we are encouraging contributions on:

    • Total error frameworks for Big Data, integrated data sets and products
    • “Total statistical uncertainty” frameworks for estimates derived from nonprobability samples
    • Statistical disclosure limitation error
    • Uses of administrative data to reduce TSE
    • Methods for addressing specification errors in integrated data sets
    • Illuminating the Big Data ETL process black box

    If you would like to present research at the workshop, please submit an abstract (max. 400 words) to by February 26, 2017. Please indicate whether you would like to present a paper or a poster. Presentations on research still in progress are highly encouraged. Be prepared to share a (preliminary) paper with the organizers prior to the workshop so that all attendees can prepare for discussion.

    Applicants will be notified of the acceptance of their abstracts by the end of March 2017.

    Please feel free to share the attached flyer with other researchers who may be interested.

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