(2025):
Quality of Expenditure Data Collected With a Mobile Receipt Scanning App in a Probability Household Panel.
Survey Research Methods,
19,
2,
105-122.
More
Dr. Alexander Wenz
Research Fellow (Data and Methods Unit)
University of Mannheim, MZES
Building A
A5, 6 A 244
68159 Mannheim
Phone: +49-621-181-2019Building A
A5, 6 A 244
68159 Mannheim
E-Mail: alexander.wenz@mzes.uni-mannheim.de
Web: https://www.wenzalexander.com/
Projekte — current
- Ungleichheiten bei der Nutzung digitaler Technologien: Ursachen, Messung, und Maßnahmen
- Akzeptanz von Smartphone-Technologien für die sozialwissenschaftliche Datenerhebung
- Leveraging Large Language Models for Survey Research
- Spatial Inequalities Beyond the Residential Neighborhood: A Smartphone-Based Assessment of Activity Spaces, Social Support, and Intergroup Contact
Publikation — recent
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(2025): Vox Populi, Vox AI? Using Large Language Models to Estimate German Vote Choice. Social Science Computer Review, tba, tba, 1-23. More
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(2025): Nonparticipation bias in accelerometer-based studies and the use of propensity scores. Social Science Computer Review, 43, 5, 1001-1012. More
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(2025): Measuring smartphone use: Survey versus digital behavioral data. Social Science Computer Review, 43, 5, 1030-1049. More
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(2024): Linking survey and LinkedIn data: Understanding usage and consent patterns. Journal of Survey Statistics and Methodology, 12, 5, 1200-1211. More
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(2024): Measuring expenditure with a mobile app: Do probability-based and nonprobability panels differ?. Journal of Survey Statistics and Methodology, 12, 5, 1224-1253. More
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(2023): The second-level smartphone divide: A typology of smartphone use based on frequency of use, skills, and types of activities. Mobile Media & Communication, 11, 3, 459-483. More
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(2023): Editorial: Recent Advances in Survey Methods for Collecting Food Data. Survey Methods: Insights from the Field, 1, 3 (Special Issue on Food Acquisition Research and Methods), 1-8. More
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(2023): Increasing the acceptance of smartphone-based data collection. Public Opinion Quarterly, 87, 2, 357-388. More
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(2022): The effects of personalized feedback on participation and reporting in mobile app data collection. Social Science Computer Review, 40, 1, 165–178. More
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(2022): From German Internet Panel to Mannheim Corona Study: Adaptable probability-based online panel infrastructures during the pandemic. Journal of the Royal Statistical Society: Series A, Statistics in Society, 185, 3, 773-797. More
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(2022): Do you have your smartphone with you? Behavioral barriers for measuring everyday activities with smartphone sensors. Computers in Human Behavior, 127, February 2022, (article no. 107054). More
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(2022): Increasing participation in a mobile app study: The effects of a sequential mixed-mode design and in-interview invitation. Journal of Survey Statistics and Methodology, 10, 4, 898–922. More
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(2021): The COVID-19 pandemic and subjective well-being: longitudinal evidence on satisfaction with work and family. European Societies, 23, suppl. 1, S601-S617. More
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(2021): Health behaviors and mental health during the COVID-19 pandemic: A longitudinal population-based survey in Germany. Social Science & Medicine, 287, October 2021, (article no. 114333). More
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(2021): Barriers to the Large-Scale Adoption of the COVID-19 Contact-Tracing App in Germany: Survey Study. Journal of Medical Internet Research, 23, 3, (article no. e23362). More
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(2021): Language proficiency among respondents: Implications for data quality in a longitudinal face-to-face survey. Journal of Survey Statistics and Methodology, 9, 1, 73-93. More
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(2021): Linking Twitter and survey data: Asymmetry in quantity and its impact. EPJ Data Science, 10, (article no. 32). More
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(2021): Do distractions during web survey completion affect data quality? Findings from a laboratory experiment. Social Science Computer Review, 39, 1, 148-161. More
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(2020): Recent advances in probability-based and nonprobability survey research. Journal of Survey Statistics and Methodology, 8, 1, 2-3. More
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(2020): A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research. Journal of Survey Statistics and Methodology, 8, 1, 4-36. More
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(2020): High-Frequency and High-Quality Survey Data Collection: The Mannheim Corona Study. Survey Research Methods, 14, 2, 171-178. More
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(2020): Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE, 15, 6, (article no. e0234663). More
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(2020): COVID‐19 Policies in Germany and their Social, Political, and Psychological Consequences. European Policy Analysis, 6, 2, 191-202. More
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(2019): Willingness to use mobile technologies for data collection in a probability household panel. Survey Research Methods, 13, 1, 1-22. More
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(2018): Consequences of mid-stream mode-switching in a panel survey. Survey Research Methods, 12, 1, 43-58. More
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(2025): Using a Qualitative Approach to Better Understand Why People Are (Un)willing to Participate in Smartphone App Data Collection. [11th Conference of the European Survey Research Association (ESRA), Utrecht, 14/07/2025 - 18/07/2025]. More
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(2025): Comparing Scenario-Based and Self-Reported Measures of Smartphone Skills. [11th Conference of the European Survey Research Association (ESRA), Utrecht, 14/07/2025 - 18/07/2025]. More
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(2025): Scenario-Based Measures of Smartphone Skills in Online Surveys. [27. General Online Research Conference (GOR), Berlin, 31/03/2025 - 02/04/2025]. More
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(2025): United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections. [11th Conference of the European Survey Research Association (ESRA), Utrecht, 14/07/2025 - 18/07/2025]. More
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(2025): United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections. [AAPOR 80th Annual Conference, St. Louis, 14/05/2025 - 16/05/2025]. More
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(2024): Vox populi, vox AI? Estimating German public opinion through language models. [General Online Research (GOR 24), Cologne, 21/02/2024 - 23/02/2024]. More
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(2024): Using large language models for evaluating and improving survey questions. [General Online Research (GOR 24), Cologne, 21/02/2024 - 23/02/2024]. More
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(2024): Everyday mobility in German cities: A smartphone-based assessment of activity spaces and their effect on social inequalities. [Workshop "The Power of Where: Spatial Insights from Survey Data", Cottbus, 29/02/2024 - 01/03/2024]. More
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(2024): Can large language models predict how people vote? Evidence from Germany. [10th International Conference on Computational Social Science (IC2S2), Philadelphia, PA, 17/07/2024 - 20/07/2024]. More
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(2024): Mechanisms of participation in smartphone app data collection: A research synthesis. [5th MASS Workshop, Washington, DC, 06/03/2024 - 07/03/2024]. More
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(2024): Mechanisms of participation in smartphone app data collection: A research synthesis. [General Online Research (GOR 24), Köln, 21/02/2024 - 23/02/2024]. More
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(2024): Can large language models estimate how people vote? Evidence from Germany. [29. Wissenschaftlicher Kongress der Deutschen Vereinigung für Politikwissenschaft, Göttingen, 24/09/2024 - 27/09/2024]. More
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(2024): Mechanisms of Participation in Smartphone App Data Collection: A Systematic Review. [Workshop on "User-centered longitudinal collection of digital behavioral and survey data", Mannheim, 25/11/2024 - 25/11/2024]. More
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(2024): Can Large Language Models Estimate How People Vote? Evidence from Germany. [Web Data Opp Workshop, Barcelona, 18/03/2024 - 19/03/2024]. More
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(2023): How to increase the acceptance of mobile app and sensor data collection?. [AAPOR 78th Annual Conference, Philadelphia, PA, 10/05/2023 - 12/05/2023]. More
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(2023): Assessing the quality of digital behavioral data for measuring smartphone use. [4th MASS Workshop, Manchester, UK, 22/06/2023 - 22/06/2023]. More
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(2023): Artificial intelligence, unbiased opinions? Assessing GPT’s suitability for estimating public opinion in multi- party systems. [General Online Research (GOR 23), Kassel, 20/09/2023 - 22/09/2023]. More
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(2022): The second-level smartphone divide: A typology of smartphone usage based on frequency of use, skills, and types of activities. [ICA Postconference on Media Sociology, (virtual conference), 01/06/2022 - 01/06/2022]. More
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(2022): How to increase the acceptance of mobile app and sensor data collection?. [General Online Research (GOR 22), Berlin, 07/09/2022 - 09/09/2022]. More
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(2022): Wie lässt sich die Akzeptanz von Smartphone-Datenerhebungen erhöhen?. [Frühjahrstagung der Sektion Methoden der empirischen Sozialforschung der Deutschen Gesellschaft für Soziologie (DGS), (virtual conference), 25/03/2022 - 26/03/2022]. More
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(2021): Measuring everyday behavior with smartphone sensors: Potential bias due to device usage. [AAPOR 76th Annual Conference, (virtual conference), 11/05/2021 - 14/05/2021]. More
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(2021): The smartphone usage divide: Differences in people's smartphone behavior and implications for mobile data collection. [AAPOR 76th Annual Conference, (virtual conference), 11/05/2021 - 14/05/2021]. More
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(2021): The smartphone usage divide: Differences in people's smartphone behavior and implications for mobile data collection. [General Online Research Konferenz 2021 (GOR 21), (virtual conference), 08/09/2021 - 10/09/2021]. More
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(2021): Twitter use during the Covid-19 pandemic: Results from two UK studies linking Twitter and survey data. [Understanding Society Survey Methods Conference, (virtual conference), 27/09/2021 - 30/09/2021]. More
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(2022): Preferences for centralized decision-making in times of crisis: the COVID-19 pandemic in Germany. 1–27. Wiesbaden, Springer VS. More
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(2021): Completing web surveys on mobile devices: Does screen size affect data quality?. 101-121. Wiesbaden, Springer VS. More
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(2024): Measuring expenditure with a mobile app: Do probability-based and nonprobability panels differ?. 2024-09, 59. Colchester, Institute for Social and Economic Research, University of Essex. More
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(2024): Vox Populi, vox AI? Using language models to estimate German public opinion. 72. Ithaca, NY, Cornell University. More
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(2024): United in diversity? Contextual biases in LLM- based predictions of the 2024 European Parliament Elections. 23. Ithaca, NY, Cornell University. More
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(2023): Assessing bias in LLM-generated synthetic datasets: The case of German voter behavior. 7. More
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(2023): Quality of expenditure data collected with a mobile receipt scanning app in a probability household panel. 2023-02, 47. Colchester, Institute for Social and Economic Research, University of Essex. More
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(2021): The second-level smartphone divide: A typology of smartphone usage based on frequency of use, skills, and types of activities. 40. Ithaca, NY, Cornell University. More
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(2020): Die Mannheimer Corona-Studie: Schwerpunktbericht zur Nutzung und Akzeptanz von Homeoffice in Deutschland während des Corona-Lockdowns. 12. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Das Leben in Deutschland im Ausnahmezustand; Bericht zur Lage vom 20. März bis 31. März 2020. 18. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Schwerpunktbericht zum subjektiven Arbeitslosigkeitsrisiko der Beschäftigten in Deutschland. 14. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Schwerpunktbericht zum Angstempfinden in der Bevölkerung; Untersuchungszeitraum 20. März bis 16. April 2020. 14. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Die vier Phasen des Social Distancing in Deutschland. 34. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Schwerpunktbericht zur Erwerbstätigkeit in Deutschland 20.3.-15.4.2020. 22. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Demokratische Kontrolle in der Corona-Krise. 25. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Schwerpunktbericht zu Erwerbstätigkeit und Kinderbetreuung. 21. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Gesellschaftliche Akzeptanz politischer Maßnahmen und befürchtete Konsequenzen für die Wirtschaft. 14. Mannheim, Universität Mannheim. More
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(2020): Die Mannheimer Corona-Studie: Das Leben in Deutschland im Ausnahmezustand; Bericht zur Lage vom 20. März bis 29. April 2020. 18. Mannheim, Universität Mannheim. More
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(2020): The Mannheim Corona Study: Life in Germany in a State of Emergency; Report for March 20 to July 09, 2020. 18. Mannheim, University of Mannheim. More
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(2020): The Mannheim Corona Study: Life in Germany in a State of Emergency; Report for March 20 to May 28, 2020. 18. Mannheim, University of Mannheim. More
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(2020): The Mannheim Corona Study: Life in Germany in a State of Emergency; Report for March 20 to June 30, 2020. 18. Mannheim, University of Mannheim. More
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(2019): Understanding Society Innovation Panel Wave 11: Results from methodological experiments. 47. Colchester, Institute for Social and Economic Research, University of Essex. More
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(2019): Increasing participation in a mobile app study: The effects of a sequential mixed-mode design and in-interview invitation. 17. Colchester, Institute for Social and Economic Research, University of Essex. More
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(2017): Willingness to use mobile technologies for data collection in a probability household panel. 37. Colchester, Institute for Social and Economic Research, University of Essex. More
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(2017): Completing web surveys on mobile devices: Does screen size affect data quality?. 23. Colchester, Institute for Social and Economic Research, University of Essex. More
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(2014): Social media monitoring of the campaigns for the 2013 German Bundestag elections on Facebook and Twitter. 2014-31, 32. Köln, GESIS-Leibniz Institut für Sozialwissenschaften. More
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(2020): Inequality in employment during the Corona lockdown: Evidence from Germany. 2020, Tübingen, University of Tübingen. More