Issues of Measurement Quality in Standardized Surveys

Tuesday, 8 July 2025: 13:00-14:45
Location: ASJE028 (Annex of the Faculty of Legal, Economic, and Social Sciences)
RC33 Logic and Methodology in Sociology (host committee)

Language: English

Standardized surveys are a central pillar for data collection in social science. Despite the trend for online surveys in recent decades, more traditional survey modes are still being used frequently. Each of the survey modes comes with its pros and cons in terms of measurement quality, which is why mixed-mode surveys have become a useful alternative.

This session aims to promote the discussion of methodological advances in ensuring the measurement quality in surveys in single mode but also mixed-mode surveys as well as the usage of para and behavioral data for improving data quality. Contributions may cover but are not limited to the following research topics:
• Validity and reliability of measurement instruments
• Procedures and protocols to reduce (heterogeneity of) processing errors
• Effects of questionnaire design on respondents’ motivation during the survey
• Developments in the usage of para data for data quality checks
• Surveys and digital behavioral data
• Survey experiments
• Improvements in tackling item nonresponse
• Interviewer effects and coping strategies
• Application of mixed-mode designs to improve measurement quality
Session Organizers:
Hawal SHAMON, Forschungszentrum Jülich, Germany and Vanessa SCHMIEJA, Forschungszentrum Jülich, Germany
Oral Presentations
Modes and Measurement of Subjective Well-Being in Flanders: The Impact of Changing Survey Strategies
Dries VERLET, Universiteit Gent, Belgium; Marc CALLENS, Research Centre of the Flemish Government, Belgium
Mixed-Mode Design and Quality of Response in Panel Surveys
Su-hao TU, Taiwan; Rouh-rong YU, Center for Survey Research, Research Center for Humanities and Social Sciences, Taiwan
Experimental Evidence to Optimize Linkage and Panel Consent Rates in a New Online Panel
Sebastian HÜLLE, Institute for Employment Research (IAB), Germany; Benjamin BAISCH, University of Salzburg, Austria; Joseph SAKSHAUG, University of Manchester, United Kingdom
New Data Spaces for Social Sciences
Stefan LIEBIG, Freie Universitaet Berlin, Germany
Item-Based Non-Response in Pre-Election Surveys: A Case Study of Georgia
Ani LORDKIPANIDZE, Colleague (at research company GORBI), Georgia; Erekle ANTADZE, Georgia
The Longitudinal Unexpected Event during Survey Design
Matias BARGSTED, University, Chile