Vol. 13 No. 1 (2019)

Articles

• Willingness to use mobile technologies for data collection in a probability household panel

  Alexander Wenz, Annette Jäckle, Mick P. Couper

  1-22

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• Participation in a mobile app survey to collect expenditure data as part of a large-scale probability household panel: coverage and participation rates and biases

  Annette Jäckle, Jonathan Burton, Mick P. Couper, Carli Lessof

  23-44

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• Respondent burden in a Mobile App: evidence from a shopping receipt scanning study.

  Brendan Read

  45-71

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• Tree-based Machine Learning Methods for Survey Research

  Christoph Kern, Thomas Klausch, Frauke Kreuter

  73-93

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• A Partially Successful Attempt to Integrate a Web-Recruited Cohort into an Address-Based Sample

  Phillip S Kott

  95-101

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• Hiding Sensitive Topics by Design? An Experiment on the Reduction of Social Desirability Bias in Factorial Surveys

  Sandra Walzenbach

  103-121

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• Exploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: Convergence at “BigSurv18”

  Craig A. Hill, Paul Biemer, Trent Buskirk, Mario Callegaro, Ana Lucía Córdova Cazar, Adam Eck, Lilli Japec, Antje Kirchner, Stas Kolenikov, Lars Lyberg, Patrick Sturgis

  123-135

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