Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

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Session Overview
Date: Friday, 11/Sep/2020
10:00 Track A: Survey Research: Advancements in Online and Mobile Web Surveys
Track B: Data Science: From Big Data to Smart Data
Track C: Politics, Public Opinion, and Communication
Track D: Digital Methods in Applied Research
A 4: Device Effects
Chair: Bella Struminskaya, Utrecht University, Netherlands, The

Layout and Device Effects on Breakoff Rates in Smartphone Surveys: A Systematic Review and a Meta-Analysis

Mirjan Schulz1, Bernd Weiß1, Aigul Mavletova2, Mick P. Couper3

1: GESIS Leibniz Institute for the Social Sciences, Germany; 2: Higher School of Economics (HSE) Moscow, Russia; 3: Michigan Population Studies Center (PSC), United States of America

Samply: A user-friendly web and smartphone application for conducting experience sampling studies

Yury Shevchenko1, Tim Kuhlmann1,2, Ulf-Dietrich Reips1

1: University of Konstanz, Germany; 2: University of Siegen, Germany

The effect of layout and device on measurement invariance in web surveys

Ines Schaurer1, Katharina Meitinger2, David Bretschi1

1: GESIS Leibniz Institute for the Social Sciences, Germany; 2: Utrecht Universit, The Netherlands

Measuring respondents’ same-device multitasking through paradata

Tobias Baier, Marek Fuchs

TU Darmstadt, Germany

B 4: Digitalization Driving Methodical Innovation
Chair: Florian Keusch, University of Mannheim, Germany

Using Census, Social Security and Tax data to impute the complete Australian income distribution

Nicholas Biddle, Dinith Marasinghe

Australian National University, Australia

How to find potential customers on district level: Civey's innovative methodology of Small Area Estimation through Multilevel Regression with Poststratification

Janina Mütze, Charlotte Weber, Tobias Wolfram

Civey, Germany

Platform moderated data collection: Experiences of combining data sources through a crowd science approach.

Michael Weinhardt, Isabell Stamm, Johannes Lindenau

TU Berlin, Germany

The Combination of Big Data and Online Survey Data: Displaying of Train Utilization on and its Implications

Andreas Krämer1,3, Christian Reinhold2

1: University of Applied Sciences Europe, Germany; 2: DB Fernverkehr AG, Germany; 3: exeo Strategic Consulting AG, Germany

C 4: Gender and Ethnicity
Chair: Simon Munzert, Hertie School, Germany

Ethnic perspective in e-government use and trust in government: A test of social inequality approaches

Dennis Rosenberg

University of Haifa, Israel

Gender Portrayal on Instagram

Dorian Tsolak, Simon Kuehne

Bielefeld University, Germany

Practicing Citizenship and Deliberation online The Socio-Political Dynamic of Closed Women's Groups on Facebook

Vered Elishar-Malka, Yaron Ariel, Dana Weimann-Saks

Yezreel Valley College, Israel

D 4: Deeper Understanding with Predictive Analytics
Chair: Stefan Oglesby, data IQ AG, Switzerland

Opinion Analysis using AI: Live demo

François Erner, Denis Bonnay

respondi SAS, France

Using Google to look into the future

Raphael Kneer

Swarm Market Research AI GmbH, Germany

Old but still sexy - Predictive Analytics with Conjoint Analysis

Philipp Fessler

Link Institut, Switzerland

GOR Award Ceremony
Keynote 2

Studying Social Interactions and Groups Online

Milena Tsvetkova

London School of Economics and Political Science, United Kingdom

A 5.1: Recruitment and Nonresponse
Chair: Bella Struminskaya, Utrecht University, Netherlands, The

A Systematic Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research

Carina Cornesse1, Annelies G. Blom1, David Dutwin2, Jon A. Krosnick3, Edith D. de Leeuw4, Stéphane Legleye5, Josh Pasek6, Darren Pennay7, Benjamin Philipps7, Joseph W. Sakshaug8,1, Bella Struminskaya4, Alexander Wenz1,9

1: University of Mannheim, Germany; 2: NORC, University of Chicago, United States of America; 3: Stanford University, United States of America; 4: Utrecht University, The Netherlands; 5: INSEE, France; 6: University of Michigan, United States of America; 7: Social Research Center, ANU, Australia; 8: IAB, Germany; 9: University of Essex, United Kingdom

Introducing the German Emigration and Remigration Panel Study (GERPS): A New and Unique Register-based Push-to-Web Online Panel Covering Individual Consequences of International Migration

Jean Philippe Decieux1, Marcel Erlinghagen1, Lisa Mansfeld1, Nikola Sander2, Andreas Ette2, Nils Witte2, Jean Guedes Auditor2, Norbert Schneider2

1: University of Duisburg-Essen, Germany; 2: Federal Institute for Population Research, Germany

Comparing the participation of Millennials and older age cohorts in the CROss-National Online Survey panel and the German Internet Panel

Melanie Revilla1, Jan K. Höhne2,1

1: RECSM-Universitat Pompeu Fabra Barcelona, Spain; 2: University of Mannheim, Germany

A 5.2: Push2web and Mixed Mode
Chair: Otto Hellwig, respondi AG & DGOF, Germany

Push-to-web Mode Trial for the Childcare and early years survey of parents

Tom Huskinson, Galini Pantelidou

Ipsos MORI, United Kingdom

Using responsive survey design to implement a probability-based self-administered mixed-mode survey in Germany

Tobias Gummer, Pablo Christmann, Sascha Verhoeven, Christof Wolf

GESIS Leibniz Institute for the Social Sciences, Germany

The feasibility of moving postal to push-to-web: looking at the impact on response rate, non-response bias and comparability

Laura Thomas, Eileen Irvin, Joanna Barry

Ipsos MORI, United Kingdom

B 5: New Types of Data
Chair: Florian Keusch, University of Mannheim, Germany

Unlocking new technology – 360-degree images in market research

Evamaria Wittmann

Ipsos, Germany

A new experiment on the use of images to answer web survey questions

Oriol J. Bosch1,2, Melanie Revilla2, Daniel Qureshi3, Jan Karem Höhne3,2

1: London School of Economics and Political Science, United Kingdom; 2: Universitat Pompeu Fabra, Spain; 3: University of Mannheim, Germany

Artificial Voices in Human Choices

Carolin Kaiser, René Schallner

Nuremberg Institute for Market Decisions, Germany

D 5: UX Research vs Market Research?
Chair: Florian Tress, Norstat Group, Germany

The convergence of user research and market research - The best of both worlds?!

Christian Graf1, Thorsten Wilhelm2

1: UXessible GbR, Germany; 2: eresult GmbH, Germany

Do Smartphone app diaries work - for researchers and participants?

Zacharias de Groote

Liveloop GmbH, Germany

CoCreation in Virtual Worlds for complex questions and technologies

Markus Murtinger

AIT Austrian Institute of Technology & USECON, Austria

Plenary: Online Data Collection During Times of Corona - A Data Quality Perspective
Chair: Bernad Batinic, JKU Linz, Austria
Additional speakers: tba.

Support for COVID-19 research through Global Surveys

Frauke Kreuter1,2, Katherine Morris3

1: University of Maryland; 2: University of Mannheim; 3: Facebook

The YouGov COVID-19 Monitor

Lydia Pauly

YouGov, United Kingdom

A 6.1: Panels and Data Quality
Chair: Bella Struminskaya, Utrecht University, Netherlands, The

Evaluating data quality in the UK probability-based online panel

Olga Maslovskaya1, Gabi Durrant1, Curtis Jessop2

1: University of Southampton, United Kingdom; 2: NatCen Social Research, United Kingdom

Building 'Public Voice', a new random sample panel in the UK

Joel Williams

Kantar, United Kingdom

Predictors of Mode Choice in a Probability-based Mixed-Mode Panel

David Bretschi, Bernd Weiß

GESIS Leibniz Institute for the Social Sciences, Germany

A 6.2: Cognitive Processes
Chair: Otto Hellwig, respondi AG & DGOF, Germany

Using survey design to encourage honesty in online surveys

Steve Wigmore, Jon Puleston

Kantar, United Kingdom

What Is Gained by Asking Retrospective Probes after an Online, Think-Aloud Cognitive Interview

William Paul Mockovak

U.S. Bureau of Labor Statistics, United States of America

Investigating the impact of violations of the left and top means first heuristic on response behavior and data quality in a probability-based online panel

Jan Karem Höhne1,2, Ting Yan3

1: University of Mannheim, Germany; 2: RECSM-Universitat Pompeu Fabra, Spain; 3: Westat, United States of America

A 6.3: Attrition and Response
Chair: Florian Keusch, University of Mannheim, Germany

Personalizing Interventions with Machine Learning to Reduce Panel Attrition

Alexander Wenz1,2, Annelies G. Blom1, Ulrich Krieger1, Marina Fikel1

1: University of Mannheim, Germany; 2: University of Essex, United Kingdom

Now, later, or never? Using response time patterns to predict panel attrition

Isabella Luise Minderop, Bernd Weiß

GESIS Leibniz Institute for the Social Sciences, Germany

A unique panel for unique people. How gamification has helped us to make our online panel future-proof

Conny Ifill, Robin Setzer

Norstat Deutschland GmbH, Germany

Virtual Farewell Drinks

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