Vol 13, No 1 (2019)

Vol 13, No 1 (2019)

Table of Contents

Articles

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

Alexander Wenz, Annette Jäckle, Mick P. Couper

Abstract PDF

1-22

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

Abstract PDF

23-44

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

Brendan Read

Abstract PDF

45-71

Tree-based Machine Learning Methods for Survey Research

Christoph Kern, Thomas Klausch, Frauke Kreuter

Abstract PDF

73-93

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

Phillip S Kott

Abstract PDF

95-101

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

Sandra Walzenbach

Abstract PDF

103-121

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

Abstract PDF

123-134

Hosted by the Library of the University of Konstanz