Bild: Katrin Glückler

Prof. Dr. Florian Keusch

Professorship for Social Data Science and Methodology

University of Mannheim
School of Social Sciences
A 5, 6
Building B – Room 218
68159 Mannheim

Phone: +49 621 181-3214
E-mail: f.keuschuni-mannheim.de
Web: floriankeusch.weebly.com

Consultation hour(s):
Prior appointments

Kursname	Credits	Details	Zeitraum
VL Datenerhebung	6 ECTS	Kursdetails	fall term
Dissertation Tutorial	2 ECTS	Kursdetails	fall term
CDSS Workshop Sociology	2 ECTS	Kursdetails	fall term
ÜK Datenerhebung	4 ECTS	Kursdetails	fall term

Research Interests
- Nonresponse and measurement error in web and mobile web surveys
- Passive mobile data collection
- Online Panels
- Survey participation decision
- Survey gamification
- Visual design effects in questionnaire
- Scale direction effects
Career
Academic Career
Florian is Professor of Social Data Science and Methodology in the Sociology Department, School of Social Sciences at the University of Mannheim and an Adjunct Assistant Professor at the Joint Program in Survey Methodology (JPSM) at the University of Maryland. He also serves on the Faculty Board of the International Program in Survey and Data Science (IPSDS) and is Associate Editor of Survey Research Methods. He received his PhD in Social and Economic Sciences (Dr.rer.soc.oec.) from WU, Vienna University of Economics and Business, Austria, in 2011. Before joining the University of Mannheim, he was a Post-doc Research Fellow at the Program in Survey Methodology at the University of Michigan's Institute for Social Research.
CV
Publications
2026
Hölzl, J., Keusch, F. und Collins, J. (2026). Where you are is what you get! Inconsistencies of digital trace data across download locations. Social Science Computer Review : SSCORE, 1–25.
Pankowska, P. K., Cernat, A., Keusch, F. und Bach, R. L. (2026). Using hidden Markov models to assess and correct for measurement error in digital trace data. Communication Methods and Measures, 20, 78–102.
2025
Bach, R. L., Silber, H., Gerdon, F., Keusch, F., Schonlau, M. und Schröder, J. (2025). To share or not to share – understanding individuals’ willingness to share biomarkers, sensor data, and medical records. Information, Communication & Society : ICS, 28, 1799-1817.
Behrmann, J., Marshall, E. A. und Keusch, F. (2025). An experimental approach to assessing young women’s childbearing preferences: A research note on the United States. Demography, 62, 773–785.
Buskirk, T. D., Eck, A., von der Heyde, L. und Keusch, F. (2025). Gpt, pretend you are a survey researcher: Results from a systematic literature review exploring the use of Large Language Models within survey research. AAPOR 80th Annual Conference, St. Louis, MO.
Draxler, F., Young, L., Peters, Y., Kreuter, F. und Keusch, F. (2025). From sensors to insights: Measurement quality considerations for studies using consumer-grade sensors. AAPOR 80th Annual Conference, St. Louis, MO.
Fritz, M., Keusch, F., Perez, M., Berg, N. und Lusyne, P. (2025). Experiences from experiments with smart surveys in the Smart Survey Implementation project. NTTS 2025, New Techniques and Technologies for Statistics, Brussels, Belgium.
Gaul, J., Keusch, F., Rostam-Afschar, D. und Simon, T. (2025). Invitation messages for business surveys. A multi-armed bandit experiment. Survey Research Methods : SRM, 19, 409–429.
Gaul, J., Keusch, F., Rostam-Afschar, D. und Simon, T. (2025). Invitation messages for business surveys: A multi-armed bandit experiment. ZEW Discussion Papers, 25–003. Mannheim.
Hölzl, J., Keusch, F. und Collins, J. (2025). Where you are is what you get? Inconsistencies of digital trace data across download locations. 11th Conference of the European Survey Research Association (ESRA) 2025, Utrecht, The Netherlands.
Hölzl, J., Keusch, F. und Collins, J. (2025). Where you are is what you get? Sample inconsistencies of Google Trends data across download locations. 27. General Online Research Conference (GOR), Berlin, Germany.
Hölzl, J., Keusch, F. und Sajons, C. (2025). The (mis)use of Google Trends data in the social sciences – A systematic review, critique, and recommendations. Social Science Research, 126, 1–22.
Keusch, F. (2025). Teaching data quality aspects in continuing education. AAPOR 80th Annual Conference, St. Louis, MO.
Keusch, F., Fritz, M., Volk, J. und Häufglöckner, L. (2025). Collecting expenditure data with a household budget app in Germany. Participation behavior, non-participation bias, and receipt scanning. ITAlian COnference on Survey Methodology (ITACOSM), Bologna, Italy.
Keusch, F., Fritz, M., Volk, J. und Häufglöckner, L. (2025). Picture this! The influence of stressing the camera feature in the mail invitation to an app-based household budget survey on participation behavior. 27. General Online Research Conference (GOR), Berlin, Germany.
Keusch, F., Rodewald, F., Hase, V., Kreuter, F. und Trappmann, M. (2025). Maximizing data yield – An experimental study of framing and motivation in data donation. 11th Conference of the European Survey Research Association (ESRA) 2025, Utrecht, The Netherlands.
Keusch, F., Struminskaya, B., Mulder, J. und Jongerius, S. (2025). Data donation as a method to measure physical activity in older adults: Cross-sectional web survey assessing consent rates, donation success, and bias. Journal of Medical Internet Research : JMIR, 27, 1–19.
Lugtig, P., Struminskaya, B., McCool, D., Keusch, F., Fritz, M., De Fausti, F., De Vitiis, C. und van Tienoven, T. (2025). Smart survey implementation: quality assessment in implementation smart surveys. 11th Conference of the European Survey Research Association (ESRA) 2025, Utrecht, The Netherlands.
Mendrik, A., Keusch, F., Rodewald, F., Van Looy, R., Cheung, N. und Lieuwes, M. (2025). Advancing mobile-friendly digital trace data donation on the next platform. 6th MASS workshop, London, UK.
Piesch, S. und Keusch, F. (2025). Assessing response quality in surveys: a systematic review of the use and interpretation of quality indicators. 11th Conference of the European Survey Research Association (ESRA) 2025, Utrecht, The Netherlands.
Rodewald, F., Keusch, F., Hase, V., Kreuter, F. und Trappmann, M. (2025). Can’t get enough data? Testing strategies to increase participation in data donation studies. AAPOR 80th Annual Conference, St. Louis, MO.
Rodewald, F., Keusch, F., Szafran, D. und Bach, R. L. (2025). Measuring the accuracy of self-reported Instagram behavior – A data donation approach. 27. General Online Research Conference (GOR), Berlin, Germany.
Rodewald, F., Keusch, F., Szafran, D. und Bach, R. L. (2025). Measuring the accuracy of self-reported Instagram privacy behavior – a data donation approach. 11th Conference of the European Survey Research Association (ESRA) 2025, Utrecht, The Netherlands.
Schröder, J., Kapidzic, S., Silber, H., Keusch, F., Menold, N. und Beuthner, C. (2025). Linking survey and Facebook data: mechanisms of consent and linkage. International Journal of Social Research Methodology : IJSRM, 28, 353–365.
Silber, H., Breuer, J., Felderer, B., Gerdon, F., Stammann, P., Daikeler, J., Keusch, F. und Weiß, B. (2025). Asking for traces: A vignette study on acceptability norms and personal willingness to donate digital trace data. Social Science Computer Review : SSCORE, 43, 1196-1221.
Szafran, D., Bach, R. L., Rodewald, F. und Keusch, F. (2025). Measuring the effect heterogeneity of a seven-day Instagram abstinence on users’ body image by combining survey and donated data. 11th Conference of the European Survey Research Association (ESRA) 2025, Utrecht, The Netherlands.
Szafran, D., Rodewald, F., Bach, R. L. und Keusch, F. (2025). Measuring the effect heterogeneity of seven-day Instagram abstinence on users’ body image by combining survey and donated data. Novel Data Sources, New Methods and Computational Approaches for Understanding Discrimination and Bias, Mannheim, Germany.
Trappmann, M., Rodewald, F., Keusch, F., Hase, V., Kreuter, F. und Prechsl, S. (2025). Maximizing data yield – an experimental study of framing, motivation and persuasion in data donation. 42. Kongress der Deutschen Gesellschaft für Soziologie, Duisburg, Germany.
Yan, T., Cernat, A. und Keusch, F. (2025). The impact of scale direction on data quality. Survey Research Methods : SRM, 19, 175–186.
Young, L., Draxler, F. und Keusch, F. (2025). Understanding secondary data reporting: A glimpse at TweetsCOV19 and Dreaddit. AAPOR 80th Annual Conference, St. Louis, MO.
2024
Beuthner, C., Weiß, B., Silber, H., Keusch, F. und Schröder, J. (2024). Consent to data linkage for different data domains – the role of question order, question wording, and incentives. International Journal of Social Research Methodology : IJSRM, 27, 375–388.
Cernat, A., Keusch, F., Bach, R. L. und Pankowska, P. K. (2024). Estimating measurement quality in digital trace data and surveys using the MultiTrait MultiMethod model. Social Science Computer Review : SSCORE, 43, 1013-1029.
Dehne, J., Daikeler, J., Silber, H., Rammstedt, B., Keusch, F., Kreuter, F., Blumenberg, J. N., Lechner, C. M., Römer, L., Schoch, D., Siegers, P., Jünger, S. und Weller, K. (2024). Die Vermittlung von Best Practices zur Messung von Datenqualität in den quantitativen Sozialwissenschaften. In , INFORMATIK 2024 : Lock-in or log out? Wie digitale Souveränität gelingt (S. 2223-2235). GI-Edition : Lecture Notes in Informatics. Proceedings, Ges. für Informatik: Bonn.
Gaul, J., Keusch, F., Rostam-Afschar, D. und Simon, T. (2024). Invitation messages for business surveys: A multi-armed bandit experiment. TRR 266 Accounting for Transparency Working Paper Series, 170. Mannheim.
Keusch, F., Pankowska, P. K., Cernat, A. und Bach, R. L. (2024). Do you have two minutes to talk about your data? Willingness to participate and nonparticipation bias in Facebook data donation. Field Methods, 36, 279–293.
Rodewald, F., Keusch, F., Szafran, D. und Bach, R. L. (2024). Mesuring privacy behavior with donated data. Data Donation Symposium 2024, Amsterdam, The Netherlands.
2023
Struminskaya, B., Kühne, S., Keusch, F., Hellwig, O., Oglesby, S. und Wachenfeld-Schell, A. (Hrsg.) (2023). 25th General Online Research Conference proceedings, [GOR 23, University of Kassel, 20–22 September 2023]. Köln: Deutsche Gesellschaft für Online-Forschung (DGOF).
Bach, R. L., Silber, H., Schonlau, M., Schröder, J., Gerdon, F. und Keusch, F. (2023). To share or not to share -- Using open-ended survey questions to understand data sharing decisions. ESRA 2023 Conference, European Survey Research Association Conference, Milano, Italy.
Behrmann, J. A., Marshall, E. A. und Keusch, F. (2023). Family size preferences in the face of work and family constraints. 118th American Sociological Association (ASA) Annual Meeting, Philadelphia, PA.
Breuer, J., Silber, H., Daikeler, J., Felderer, B., Gerdon, F., Keusch, F., Stammann, P. und Weiß, B. (2023). What can we ask for and how should we ask? An experimental vignette study on request and respondent characteristics affecting the acceptability of and willingness to agree to digital trace data donation. Data Donation Symposium 2023, Zürich, Switzerland.
Cernat, A., Keusch, F., Bach, R. L. und Pankowska, P. K. (2023). Estimating measurement quality in digital trace data and surveys using the MultiTrait MultiMethod model. ESRA 2023 Conference, European Survey Research Association Conference, Milano, Italy.
Guyer, H., Moakley, M., Keusch, F. und Struminskaya, B. (2023). Provide or bring your own wearable device? An assessment of compliance, adherence, and representation in a national study. BigSurv23 (Big Data Meets Survey Science), Quito, Ecuador.
Kern, C., Gerdon, F., Bach, R. L., Keusch, F. und Kreuter, F. (2023). Humans vs. Machines: Who is Perceived to Decide Fairer? An Experiment about Citizens’ Attitudes. Hybrid Human-Artificial Intelligence (HHAI) 2023, München, Germany.
Keusch, F., Bach, R. L. und Cernat, A. (2023). Reactivity in measuring sensitive online behavior. Internet Research, 33, 1031-1052.
Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. und Trappmann, M. (2023). Coverage error in data collection combining mobile surveys with passive measurement using apps: data from a German national survey. Sociological Methods & Research : SMR, 52, 841–878.
Keusch, F., Pankowska, P. K., Bach, R. L. und Cernat, A. (2023). Collect information about Facebook usage via data donation: Willingness, participation, and bias. Data Donation Symposium 2023, Zürich, Switzerland.
Keusch, F., Pankowska, P. K., Bach, R. L. und Cernat, A. (2023). Do you have two minutes to talk about your data? Using data donation to collect Facebook data. 78th Annual AAPOR Conference, American Association for Public Opinion Research, Philadelphia, PA.
Mehltretter, J., Keusch, F. und Sajons, C. (2023). Sustainable trend or trending mayfly? A systematic literature review and guidelines on using Google trends data for social science research. ESRA 2023 Conference, European Survey Research Association Conference, Milano, Italy.
Mehltretter, J., Keusch, F. und Sajons, C. (2023). What do racists google? A systematic approach to selecting and validating Google trends data using the example of xenophobic attitudes. 25th General Online Research Conference 2023 (GOR 23), Kassel, Germany.
Mehltretter, J., Keusch, F. und Sajons, C. (2023). What do racists google? Systematic approach to selecting and validating Google trends data using the example of xenophobic attitudes. 78th Annual AAPOR Conference, American Association for Public Opinion Research, Philadelphia, PA.
Metz, A. und Keusch, F. (2023). Sensor- and smartphone-based data collection in organization studies and management. 39th EGOS Colloquium – Organizing for the Good Life: Between Legacy and Imagination, Cagliari, Italy.
Page, E. T., Antoun, C., Gonzalez, J., Kantor, L., Keusch, F., Miller, L. und Wenz, A. (2023). Editorial: Recent advances in survey methods for collecting food data. Survey Methods : Insights from the Field, 2023, 1–8.
Pankowska, P. K., Keusch, F., Bach, R. L. und Cernat, A. (2023). Measuring Facebook use: The accuracy of self-reported data vs. digital trace data. 25th General Online Research Conference 2023 (GOR 23), Kassel, Germany.
Silber, H., Breuer, J., Daikeler, J., Felderer, B., Gerdon, F., Keusch, F., Stammann, P. und Weiß, B. (2023). Vignette study on: Acceptability norms and personal willigness to share digital trace data. CIPHER 2023 – 5th Annual Current Innovations in Probability-based Household Internet Panel Research Conference, Washington, D.C..
Silber, H., Breuer, J., Daikeler, J., Felderer, B., Gerdon, F., Keusch, F. und Weiß, B. (2023). Sharing digital traces: Experimental evidence on the influence of the data type, the recipient, and a safe transmission. ESRA 2023 Conference, European Survey Research Association Conference, Milano, Italy.
Struminskaya, B. und Keusch, F. (2023). An academic perspective. In We celebrate 25 years of DGOF and 25 times GOR! (S. 12–13). Köln: Deutsche Gesellschaft für Online-Forschung (DGOF).
Struminskaya, B. und Keusch, F. (2023). Mobile devices and the collection of social research data. In Research handbook on digital sociology (S. 101–114). Cheltenham ; Northampton, MA: Edward Elgar Publishing.
Trappmann, M., Haas, G.-C., Malich, S., Keusch, F., Bähr, S., Kreuter, F. und Schwarz, S. (2023). Augmenting survey data with digital trace data: Is there a threat to panel retention? Journal of Survey Statistics and Methodology : JSSAM, 11, 541–552.
Wenz, A. und Keusch, F. (2023). How to increase the acceptance of mobile app and sensor data collection? 78th Annual AAPOR Conference, American Association for Public Opinion Research, Philadelphia, PA.
Wenz, A. und Keusch, F. (2023). Increasing the acceptance of smartphone-based data collection. Public Opinion Quarterly : POQ, 87, 357–388.
Wenz, A. und Keusch, F. (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, 459–483.
Wenz, A., Keusch, F. und Bach, R. L. (2023). Assessing the quality of digital behavioral data for measuring smartphone use. 4th Mobile Apps and Sensors in Surveys (MASS) Workshop 2023 – Contextual Integrity in Theory and Empirical Application, Manchester, UK.
Zhang, C. und Keusch, F. (2023). Exploring the effect of progress feedback and incentives on participant behaviors in ecological momentary assessment (EMA) studies. 78th Annual AAPOR Conference, American Association for Public Opinion Research, Philadelphia, PA.
2022
Struminskaya, B., Kühne, S., Keusch, F., Hellwig, O., Oglesby, S., Stützer, C. M. und Wachenfeld-Schell, A. (Hrsg.) (2022). 24th General Online Research Conference Proceedings, Köln 2022. Köln: Deutsche Gesellschaft für Online-Forschung (DGOF).
Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. und Trappmann, M. (2022). Missing data and other measurement quality issues in mobile geolocation sensor data. Social Science Computer Review : SSCORE, 40, 212–235.
Cernat, A. und Keusch, F. (2022). Do surveys change behaviour? Insights from digital trace data. International Journal of Social Research Methodology : IJSRM, 25, 79–90.
Cernat, A. und Keusch, F. (2022). Do surveys change behaviours? Significance / Royal Statistical Society, 19, 10–11.
Haas, G.-C., Keusch, F. und Frölich, M. (2022). Comparing single-sitting versus modular text message surveys in Egypt. International Journal of Public Opinion Research, 34, 1–11.
Kern, C., Gerdon, F., Bach, R. L., Keusch, F. und Kreuter, F. (2022). Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. Patterns, 3, 1–13.
Keusch, F. (2022). Do you have two minutes to talk about your data? Data donation as a way of collecting digital traces. RSS International Conference 2022, Royal Statistical Society, Aberdeen, UK.
Keusch, F. (2022). How to distinguish between passive and active mobile data collection. London: Sage Publications.
Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., Trappmann, M. und Eckman, S. (2022). Non-participation in smartphone data collection using research apps. Journal of the Royal Statistical Society. Series A, Statistics in Society, 185, S225-S245.
Keusch, F. und Conrad, F. G. (2022). Using smartphones to capture and combine self-reports and passively measured behavior in social research. Journal of Survey Statistics and Methodology : JSSAM, 10, 863–885.
Keusch, F. und Mehltretter, F. (2022). A review of the use of Google trends data in survey and public opinion research. AAPOR 77th Annual Conference, American Association for Public Opinion Research, Chicago, IL.
Lorenz, R., Beck, J., Horneber, S., Keusch, F. und Antoun, C. (2022). Chapter 10, Google trends as a tool for public opinion research: An illustration of the perceived threats of immigration. In Migration research in a digitized world : using innovative technology to tackle methodological challenges (S. 193–206). Cham: Springer International Publishing.
Malich, S., Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. und Trappmann, M. (2022). Methodische Herausforderungen bei der Aufbereitung und Auswertung von Smartphone-Daten zur Messung sozialer Interaktion. Frühjahrstagung der Sektion „Methoden der empirischen Sozialforschung“ der Deutschen Gesellschaft für Soziologie (DGS) – Potentiale und Herausforderungen von digitalen Verhaltensdaten in der empirischen Sozialforschung, Mannheim, Germany, Online.
Malich, S., Haas, G.-C., Keusch, F., Bähr, S., Kreuter, F. und Trappmann, M. (2022). Challenges of measuring social interaction with smartphone app data. GOR 2022, 24th General Online Research Conference 2022, Berlin, Germany.
Pankowska, P. K., Keusch, F., Bach, R. L. und Cernat, A. (2022). Measuring Facebook use: The accuracy of self-reported data versus digital trace data. JSM 2022, Joint Statistical Meetings Conference, Washington, DC.
Silber, H., Breuer, J., Beuthner, C., Gummer, T., Keusch, F., Siegers, P., Stier, S. und Weiß, B. (2022). Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour. Journal of the Royal Statistical Society. Series A, Statistics in Society, 185, 387–407.
Silber, H., Gerdon, F., Bach, R. L., Kern, C., Keusch, F. und Kreuter, F. (2022). A preregistered vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers. Politics and the Life Sciences : PLS, 41, 161–181.
Silber, H., Gerdon, F., Bach, R. L., Kern, C., Keusch, F. und Kreuter, F. (2022). In which situations are people likely to share their health data? A vignette experiment on willingness to donate three different types of health data. Frühjahrstagung der Sektion „Methoden der empirischen Sozialforschung“ der Deutschen Gesellschaft für Soziologie (DGS) – Potentiale und Herausforderungen von digitalen Verhaltensdaten in der empirischen Sozialforschung, Mannheim, Germany, Online.
Stadtmüller, S., Silber, H., Daikeler, J. und Keusch, F. (2022). The interplay of motivated reasoning and survey quality information on the credibility of survey results. Workshop “Survey Climate and Trust in Scientific Surveys – Recent Developments and Controversial Issues”, Kassel, Germany.
Stadtmüller, S., Silber, H., Daikeler, J. und Keusch, F. (2022). The role of heuristics in processing survey results: Evidence from a vignette experiment. WAPOR 2022 Annual Conference: 75 Years of Worldwide Public Opinion Reserach, Dubai, United Arab Emirates.
Wenz, A. und Keusch, F. (2022). How to increase the acceptance of mobile app and sensor data collection? GOR 22, 24th General Online Research Conference, Berlin, Germany.
Wenz, A. und Keusch, F. (2022). The second-level smartphone divide: A typology of smartphone usage based on frequency of use, skills, and types of activities. 72nd Annual ICA Media Sociology Hybrid Post-Conference, Paris, France, Hybrid.
Wenz, A. und Keusch, F. (2022). Wie lässt sich die Akzeptanz von Smartphone-Datenerhebungen erhöhen? Frühjahrstagung der Sektion „Methoden der empirischen Sozialforschung“ der Deutschen Gesellschaft für Soziologie (DGS) – Potentiale und Herausforderungen von digitalen Verhaltensdaten in der empirischen Sozialforschung, Mannheim, Germany, Online.
Yan, T. und Keusch, F. (2022). In which direction do you think this scale should go? Scale direction preference and its impact on survey responses. AAPOR 77th Annual Conference, American Association for Public Opinion Research, Chicago, IL.
2021
Keusch, F., Struminskaya, B., Hellwig, O., Oglesby, S., Stützer, C. M. und Wachenfeld-Schell, A. (Hrsg.) (2021). 23rd General Online Research Conference : virtual, 08–10 September 2021, proceedings. Köln: Deutsche Gesellschaft für Online-Forschung (DGOF).
Amaya, A., Bach, R. L., Keusch, F. und Kreuter, F. (2021). New data sources in social science research: Things to know before working with Reddit data. Social Science Computer Review : SSCORE, 39, 943–960.
Bach, R. L., Kern, C., Amaya, A., Keusch, F., Kreuter, F., Hecht, J. und Heinemann, J. (2021). Predicting voting behavior using digital trace data. Social Science Computer Review : SSCOR, 39, 862–883.
Bauer, P. C., Gerdon, F., Keusch, F., Kreuter, F. und Vannette, D. L. (2021). Did the GDPR increase trust in data collectors? Evidence from observational and experimental data. Information, Communication & Society : ICS, 25, 2101-2121.
Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. und Trappmann, M. (2021). Social networks on smartphones. Congruency of online and offline networks and their effect on labor market outcomes. International Conference What People Leave Behind: Marks, Traces, Footprints and their Significance for Social Sciences, Online.
Bähr, S., Keusch, F., Haas, G.-C., Kreuter, F. und Trappmann, M. (2021). Social networks on smartphones. Congruence of online and offline networks and their effect on labor market outcomes. 2nd Mobile Apps and Sensors in Surveys (MASS) Workshop 2021, Online.
Conrad, F. G., Keusch, F. und Schober, M. (2021). New data in social and behavioral research. Public Opinion Quarterly : POQ, 85, 253–263.
Haensch, A.-C., Herklotz, M., Keusch, F. und Kreuter, F. (2021). The international program in survey and data science (IPSDS): a modern study program for working professionals. Statistical Journal of the IAOS, 37, 921–933.
Kapousouz, E., Beuthner, C., Keusch, F., Silber, H., Weiß, B. und Johnson, T. P. (2021). Validation of survey-based health indicators through health app data. AAPOR 76th Annual Conference, American Association for Public Opinion Research, Online.
Keusch, F. (2021). Data collection using smartphones: Concerns about data sharing and framing effects. JSM 2021, Joint Statistical Meetings Conference, Online.
Keusch, F., Leonard, M. M., Sajons, C. und Steiner, S. (2021). Using smartphone technology for research on refugees: Evidence from Germany. Sociological Methods & Research : SMR, 50, 1863-1894.
Keusch, F., Wenz, A. und Conrad, F. G. (2021). Measuring everyday behavior with smartphone sensors: Potential bias due to device usage. AAPOR 76th Annual Conference, American Association for Public Opinion Research, Online.
Malich, S., Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. und Trappmann, M. (2021). Auswertung von Smartphone-Daten für die Sozialforschung. Gemeinsamer Kongress der Deutschen Gesellschaft für Soziologie (DGS) und der Österreichischen Gesellschaft für Soziologie (ÖGS) – Die Post-Corona-Gesellschaft? Pandemie, Krise und ihre Folgen, Wien, Austria, Online.
Malich, S., Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. und Trappmann, M. (2021). Mobile Datenerhebung in einem Panel Die IAB-SMART Studie. In Sozialwissenschaftliche Datenerhebung im digitalen Zeitalter (S. 45–69). Wiesbaden: Springer VS.
Silber, H., Gerdon, F., Bach, R. L., Kern, C., Keusch, F. und Kreuter, F. (2021). A vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers. Science and Politics: Changing Attitudes and Emerging Methodologies, Online.
Silber, H., Keusch, F., Breuer, J., Siegers, P., Beuthner, C., Stier, S., Gummer, T. und Weiß, B. (2021). Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behavior. SocArXiv Papers. Ithaca, NY: Cornell University.
Struminskaya, B. und Keusch, F. (2021). Concerns about privacy when sharing data collected using smartphones. AAPOR 76th Annual Conference, American Association for Public Opinion Research, Online.
Struminskaya, B. und Keusch, F. (2021). The role of technological skills and privacy concerns in willingness to share smartphone sensor data. 2nd Mobile Apps and Sensors in Surveys (MASS) Workshop 2021, Online.
Wenz, A. und Keusch, F. (2021). The smartphone usage divide: Differences in people's smartphone behavior and implications for mobile data collection. AAPOR 76th Annual Conference, American Association for Public Opinion Research, Online.
2020
Struminskaya, B., Keusch, F., Hellwig, O., Oglesby, S., Stützer, C. M. und Wachenfeld-Schell, A. (Hrsg.) (2020). 22nd General Online Research Conference : virtual, 10–11 September 2020. Köln: Deutsche Gesellschaft für Online-Forschung (DGOF).
Amaya, A., Bach, R. L., Kreuter, F. und Keusch, F. (2020). Measuring the strength of attitudes in social media data. In Big data meets survey science : a collection of innovative methods (S. 163–192). Hoboken, NJ: John Wiley & Sons.
Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. und Trappmann, M. (2020). Social networks on smartphones – Congruency of online and offline networks and their effect on labor market outcomes. 32nd Annual SASE Meeting 2020, Society for the Advancement of Socio-Economics, Online.
Cernat, A. und Keusch, F. (2020). Do surveys change behavior? Insights from digital trace data. IC2S2 2020, 6th International Conference on Computational Social Science, Cambridge, MA, Online.
Haas, G.-C., Kreuter, F., Keusch, F., Trappmann, M. und Bähr, S. (2020). Effects of incentives in smartphone data collection. In Big data meets survey science : a collection of innovative methods (S. 387–414). Hoboken, NJ: John Wiley & Sons.
Haas, G.-C., Trappmann, M., Keusch, F., Bähr, S. und Kreuter, F. (2020). Using geofences to collect survey data: Lessons learned from the IAB-SMART study. Survey Methods : Insights from the Field, 2020, 1–12.
Haas, G.-C., Trappmann, M., Keusch, F., Bähr, S. und Kreuter, F. (2020). Using geofences to trigger surveys in an app. GOR 2020, 22nd General Online Research Conference, Online.
Hobusch, G. M., Keusch, F., Tsuchiya, H., Joyce, M. und Windhager, R. (2020). What opinions do tumor reconstructive surgeons have about sports activity after megaprosthetic replacement in hip and knee? Results of the MoReSports expert opinion online survey. Journal of Clinical Medicine, 9, 1–15.
Horwitz, R., Brockhaus, S., Henninger, F., Kieslich, P. J., Schierholz, M., Keusch, F. und Kreuter, F. (2020). Learning from mouse movements: Improving questionnaires and respondents' user experience through passive data collection. In Advances in questionnaire design, development, evaluation, and testing (S. 403–425). Hoboken, NJ: Wiley.
Kapousouz, E., Beuthner, C., Keusch, F., Silber, H., Weiß, B. und Johnson, T. P. (2020). The combination of survey and health app data: Sharing behavior, quality assessment, and validation of survey-based health indicators. BigSurv20, Big Data Meets Survey Science, Online.
Keusch, F., Bach, R. L. und Cernat, A. (2020). Social desirability in digital trace data collection. BigSurv20, Big Data Meets Survey Science, Online.
Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. und Trappmann, M. (2020). Combining self-reports with passive mobile data collection: New forms of data collection lead to new forms of nonresponse. International Workshop on Household Survey Nonresponse, Online.
Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. und Trappmann, M. (2020). Participation rates and bias in a smartphone study collecting self-reports and passive mobile measurement using a research app. AAPOR 75th Annual Conference, American Association for Opinion Public Research, Online.
Keusch, F. und Kreuter, F. (2020). Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung. In Marktforschung für die Smart Data World : Chancen, Herausforderungen und Grenzen (S. 3–25). Wiesbaden: Springer Gabler.
Keusch, F., Kreuter, F., Haas, G.-C., Trappmann, M. und Bähr, S. (2020). Social networks on smartphones. Congruence of online and offline networks and their effect on labor market outcomes. IC2S2 2020, 6th International Conference on Computational Social Science, Cambridge, MA, Online.
Keusch, F., Struminskaya, B., Kreuter, F. und Weichbold, M. (2020). Combining active and passive mobile data collection : A survey of concerns. In Big data meets survey science : a collection of innovative methods (S. 657–682). Hoboken, NJ: John Wiley & Sons.
Keusch, F. und Yan, T. (2020). Impact of response scale features on survey responses to behavioral questions. In Experimental methods in survey research : techniques that combine random sampling with random assignment (S. 131–149). New Jersey, NJ: Wiley.
Samoilova, E., Wolbring, T. und Keusch, F. (2020). Datenqualität umfragebasierter Workload-Messungen: Eine Mixed-Methods-Studie auf Grundlage von Learning Analytics und kognitiven Interviews. In Studentischer Workload (S. 205–229). Wiesbaden: Springer Fachmedien Wiesbaden.
Silber, H., Breuer, J., Beuthner, C., Siegers, P., Weiß, B., Stier, S., Keusch, F. und Gummer, T. (2020). Linking surveys and digital trace data: Experiences from two pilot studies on factors influencing informed consent. BigSurv20, Big Data Meets Survey Science, Online.
Struminskaya, B. und Keusch, F. (2020). Editorial: From web surveys to mobile web to apps, sensors, and digital traces. Survey Methods : Insights from the Field, 2020, 1–7.
Struminskaya, B., Lugtig, P., Keusch, F. und Höhne, J. K. (2020). Augmenting surveys with data from sensors and apps: Opportunities and challenges. Social Science Computer Review : SSCORE, 1–13.
2019
Keusch, F., Struminskaya, B., Hellwig, O., Stützer, C. M., Thielsch, M. und Wachenfeld-Schell, A. (Hrsg.) (2019). 21th General Online Research Conference, 6 – 8 March 2019 in Cologne, proceedings. Köln: Deutsche Gesellschaft für Online-Forschung (DGOF).
Bauer, P. C., Keusch, F. und Kreuter, F. (2019). Trust and cooperative behavior: Evidence from the realm of data-sharing. PLOS ONE, 14, e0220115.
Keusch, F. (2019). Coverage and nonparticipation error in smartphone data collection. AAPOR 74th Annual Conference, Americann Association for Public Opinion Research, Toronto, Canada.
Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. und Trappmann, M. (2019). Mobile Datenerhebung in einem Panel: Die IAB Smart Studie. Gemeinsame Tagung der Arbeitsgemeinschaft sozialwissenschaftlicher Institute (ASI) und der DGS-Sektion Methoden der empirischen Sozialforschung, Köln, Germany.
Keusch, F., Haas, G.-C., Bach, R. L. und Kreuter, F. (2019). Social desirability in passive mobile data collection. ESRA 2019 Conference, European Survey Research Associaton, Zagreb, Croatia.
Keusch, F., Struminskaya, B., Antoun, C., Couper, M. P. und Kreuter, F. (2019). Willingness to participate in passive mobile data collection. Public Opinion Quarterly : POQ, 83, 210–235.
Keusch, F., Trappmann, M., Haas, G.-C., Bähr, S. und Kreuter, F. (2019). Enriching an ongoing panel survey with mobile phone mea sures: The IAB-SMART study. DAGStat 2019 – Statistics under One Umbrella, 5th Joint Statistical Meeting, München, Germany.
Kreuter, F., Haas, G.-C., Keusch, F., Bähr, S. und Trappmann, M. (2019). Collecting survey and smartphone sensor data with an App: Opportunities and challenges around privacy and informed consent. Social Science Computer Review : SSCORE, 38, 533–549.
Wagner, A. L., Keusch, F., Yan, T. und Clarke, P. J. (2019). The impact of weather on summer and winter exercise behaviors. Journal of Sport and Health Science, 8, 39–45.
2018
Struminskaya, B., Keusch, F., Hellwig, O., Stützer, C. M., Thielsch, M. T. und Wachenfeld-Schell, A. (Hrsg.) (2018). 20th General Online Research Conference, 28 February to 2 March 2018 in Cologne, proceedings. Köln: Deutsche Gesellschaft für Online-Forschung (DGOF).
Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. und Trappmann, M. (2018). IAB-SMART-Studie: Mit dem Smartphone den Arbeitsmarkt erforschen. IAB-Forum : Das neue Onlinemagazin des Instituts für Arbeitsmarkt- und Berufsforschung, 2018, 09.01.2018.
Keusch, F., Buskirk, T. D. und Gerdon, F. (2018). Getting persnickety about pair-wise Wikis: Investigating the relationship between initial settings for pair-wise Wiki Surveys and respondent engagement using a randomized experiment. AAPOR 73rd Annual Conference, Denver, CO.
Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. und Trappmann, M. (2018). Nonresponse error in passive mobile measurement. Digital Traces Workshop, Bremen, Germany.
Keusch, F., Haas, G.-C., Kreuter, F., Bähr, S. und Trappmann, M. (2018). Coverage error in smartphone data collection. GOR 2018, 20th General Online Research Conference, Köln, Germany.
Keusch, F., Kreuter, F., Struminskaya, B. und Weichbold, M. (2018). Combining active and passive mobile data collection: A survey of concerns. BigSurv18, Big Data Meets Survey Science, Barcelona, Spain.
Keusch, F., Sajons, C., Steiner, S. und Leonard, M. M. (2018). Using smartphone technology for research among refugees in Germany. XIX ISA World Congress of Sociology, Toronto, Canada.
Keusch, F. und Yan, T. (2018). Is satisficing responsible for response order effects in rating scale questions? Survey Research Methods : SRM, 12, 259–270.
Keusch, F. und Yan, T. (2018). The influence of rating scale direction on reliability. AAPOR 73rd Annual Conference, American Association for Public Opinion Research, Denver, CO.
Kreuter, F., Frößinger, K., Samoilova, E. und Keusch, F. (2018). “Survey and Data Science” – Ein neuer, berufsbegleitender Studiengang (Fallbeispiel eines “flipped classroom” Online-Programms). In Handbuch der Aus- und Weiterbildung : Politik, Praxis, finanzielle Förderung (S. 43–68). Köln: Fachverlag Deutscher Wirtschaftsdienst.
Kreuter, F., Keusch, F. und Samoilova, E. (2018). International program in survey and data science. In , 10th International Conference on Teaching Statistics : Looking back, looking forward : ICOTS10, Kyoto, Japan, 8–13 July, 2018, proceedings (S. 1–6). , International Statistical Institute, International Association for Statistical Education (IASE): Voorburg, The Netherlands.
Kreuter, F., Keusch, F., Samoilova, E. und Frößinger, K. (2018). International program in survey and data science. In Big Data : Chancen, Risiken, Entwicklungstendenzen (S. 27–41). Wiesbaden: Springer VS.
Samoilova, E., Keusch, F. und Kreuter, F. (2018). Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In Data analytics and psychometrics : informing assessment practices (S. 247–261). Charlotte, NC: Information Age Publishing.
Yan, T., Keusch, F. und He, L. (2018). The impact of question and scale characteristics on scale direction effect. Survey Practice, 11, Article 8.
2017
Keusch, F., Antoun, C., Couper, M. P., Kreuter, F. und Struminskaya, B. (2017). Willingness to participate in passive mobile data collection. AAPOR 72th Annual Conference, American Association for Public Opinion Research, New Orleans, LA.
Keusch, F., Brockhaus, S., Henninger, F., Horwitz, R., Kieslich, P. J., Kreuter, F. und Schierholz, M. (2017). Learning from mouse movements: Improving Web questionnaire and respondents’ user experience through passive data collection. GOR 2017, 19th General Online Research Conference, Berlin, Germany.
Keusch, F. und Yan, T. (2017). In your opinion, in which direction should the answer categories go? ESRA 2017 Conference, European Survey Research Association, Lisbon, Portugal.
Keusch, F. und Yan, T. (2017). Web versus mobile web : an experimental study of device effects and self-selection effects. Social Science Computer Review : SSCORE, 35, 751–769.
Keusch, F. und Zhang, C. (2017). A review of issues in gamified surveys. Social Science Computer Review : SSCORE, 35, 147–166.
Liu, M. und Keusch, F. (2017). Effects of scale direction on response style of ordinal rating scales. Journal of Official Statistics : JOS, 33, 137–154.
Samoilova, E., Keusch, F. und Wolbring, T. (2017). Integrating learning analytics, survey self-reports, and qualitative data: Insights from two pilot studies. ESRA 2017 Conference, European Survey Research Association, Lisbon, Portugal.
Samoilova, E., Keusch, F. und Wolbring, T. (2017). Learning analytics and survey data integration in workload research. Zeitschrift für Hochschulentwicklung : ZFHE, 12, 65–78.
Schacht, S., Keusch, F., Bergmann, N. und Morana, S. (2017). Web survey gamification – Increasing data quality in web surveys by using game design elements. In , 25th European Conference on Information Systems, ECIS 2017 : information systems for a smart, substainable and inclusive world, June 5–10, 2017, Guimarães, Portugal, proceedings (S. 2907-2917). Proceedings of the 25th European Conference on Information Systems, ECIS 2017, AISeL: Atlanta, GA.
2016
Henninger, F., Horwitz, R., Brockhaus, S., Keusch, F., Kieslich, P. J., Kreuter, F. und Schierholz, M. (2016). Learning from mouse movements: Improving questionaires and respondents' user experience through passive data collection. International Conference on Questionnaire Design, Development, Evaluation and Testing (QDET2), Miami, FL.
2015
Clarke, P. J., Yan, T., Keusch, F. und Gallagher, N. A. (2015). The impact of weather on mobility and participation in older US adults. American Journal of Public Health : AJPH, 105, 1489-1494.
DeCicco, J., Yan, T., Keusch, F., Muñoz, D. H. und Neidert, L. (2015). U.S. consumer attitudes and expectations about energy. Energy Policy, 86, 749–758.
Keusch, F. (2015). Why do people participate in Web surveys? Applying survey participation theory to Internet survey data collection. Management Review Quarterly, 65, 183–216.
Yan, T. und Keusch, F. (2015). The effects of the direction of rating scales on survey responses in a telephone survey. Public Opinion Quarterly : POQ, 79, 145–165.
2014
Keusch, F. (2014). The influence of answer box format on response behavior on list-style open-ended questions. Journal of Survey Statistics and Methodology : JSSAM, 2, 305–322.
Keusch, F., Batinic, B. und Mayerhofer, W. (2014). Motives for joining nonprobability online panels and their association with survey participation behavior. In Online panel research : a data quality perspective (S. 171–191). Chichester: Wiley.
Keusch, F., Rao, R., Chang, L., Lepkowski, J., Reddy, P. und Choi, S. W. (2014). Participation in clinical research: perspectives of adult patients and parents of pediatric patients undergoing hematopoietic stem cell transplantation. Biology of Blood and Marrow Transplantation : BBMT, 20, 1604-1611.
2013
Keusch, F. (2013). The role of topic interest and topic salience in online panel web surveys. International Journal of Market Research : IJMR, 55, 59–80.
2012
Keusch, F. (2012). How to increase response rates in list-based web survey samples. Social Science Computer Review : SSCORE, 30, 380–388.
Mayerhofer, W., Keusch, F. und Rieder, M. (2012). Liegt Schönheit im Auge des Betrachters? Transfer, Werbeforschung & Praxis, 58, 34–39.
2011
Keusch, F. (2011). Webbefragungen : Einflussfaktoren auf die Qualität und den Rücklauf von Befragungen in Online Panels. Wien: Facultas.wuv.
Keusch, F. (2011). einBLICK: Überprüfung komplexer Einflussstrukturen. Transfer, Werbeforschung & Praxis, 57, 64–66.
2008
Keusch, F. (2008). Brands positioning. Transfer, Werbeforschung & Praxis, 53, 60–62.
Keusch, F. (2008). einBLICK: Conjoint Analyse – Datenerhebung. Transfer, Werbeforschung & Praxis, 54, 61–62.
Keusch, F. (2008). einBLICK: Interpretation von Ähnlichkeitsurteilen. Transfer, Werbeforschung & Praxis, 54, 53–54.
Keusch, F. (2008). einBLICK: Visualisierung von Ähnlichkeitsurteilen zu Unternehmen und Marken. Transfer, Werbeforschung & Praxis, 54, 53–54.
2007
Keusch, F. (2007). Marktsegmentierung mittels CHAID und logistischer Regression. Transfer, Werbeforschung & Praxis, 52, 31–35.
Keusch, F. (2007). einBLICK: Beschreibung von Konsumentengruppen anhand mehrerer Merkmale. Transfer, Werbeforschung & Praxis, 52, 58–60.
Keusch, F. (2007). einBLICK: Gruppierung von Marken und Unternehmen zu Marktsegmenten. Transfer, Werbeforschung & Praxis, 52, 56–57.
Keusch, F. (2007). einBLICK: Gruppierung von Personen zu Marktsegmenten. Transfer, Werbeforschung & Praxis, 52, 60–62.
Keusch, F. (2007). einBLICK: Verdichtung von Information. Transfer, Werbeforschung & Praxis, 52, 55–57.
2006
Keusch, F. (2006). einBLICK: Quantifizierung von Einflüssen. Transfer, Werbeforschung & Praxis, 51, 54–55.
Keusch, F. (2006). einBLICK: Überprüfung von Einflüssen. Transfer, Werbeforschung & Praxis, 51, 57–58.
Keusch, F. (2006). einBLICK: Überprüfung von Unterschieden zwischen Gruppen. Transfer, Werbeforschung & Praxis, 51, 33–34.
Projects
The Smart Survey Implementation (SSI) Project
Measurement of Physical Activity in older adults through Data Donation (MPADD)
KODAQS-The Competence Center for Data Quality in the Social Sciences
Utilizing the Potentials of Twin Studies to Improve Our Understanding of Satisficing Response Beahaviour in Surveys
Mobility Survey Cluster Sinsheim
Understanding, Measuring, and Alleviating Inequalities in Digital Technology Use
IAB-SMART: Collecting Data for Labor Market Research Through a Smartphone App
Concerns and Willingness to Use Smartphones for Data Collection
Modernizing Migration Measures: Combining Survey and Tracking Data Collection Among Asylum-Seeking Refugees
Reddit data as a new tool and source for social research
Supplementing and substituting survey data with big data
Using Propensity Scores for Nonresponse Adjustment with Covariate Measurement Error (MZES)
Tools to Detect Fabricated Interviews (MZES)

Prof. Dr. Florian Keusch

Research Interests

Career

Publications

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2008

2007

2006

Projects