Credit: Katrin Glückler
Prof. Dr. Florian Keusch
University of Mannheim
School of Social Sciences
A 5, 6
Building B – Room 218
68159 Mannheim
School of Social Sciences
A 5, 6
Building B – Room 218
68159 Mannheim
Consultation hour(s):
Prior appointments
Prior appointments
| Course name | Credits | Details | Term |
|---|---|---|---|
| Exemplary Empirical Studies | 3 ECTS | Course details | spring term |
| Thesis Colloquium | 3 ECTS | Course details | spring term |
| CDSS Workshop: Sociology | 3 ECTS | Course details | spring term |
| Dissertation Tutorial (Gautschi/Hillmann/Kreuter) | 2 ECTS | Course details | spring 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.
Publications
2025
- Gaul, J., Keusch, F., Rostam-Afschar, D. and Simon, T. (2025). Invitation messages for business surveys: A multi-armed bandit experiment. ZEW Discussion Papers, 25–003. Mannheim.
- Hölzl, J., Keusch, F. and 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.
2024
- Bach, R. L., Silber, H., Gerdon, F., Keusch, F., Schonlau, M. and Schröder, J. (2024). To share or not to share – understanding individuals’ willingness to share biomarkers, sensor data, and medical records. Information, Communication & Society : ICS, 1–19.
- Beuthner, C., Weiß, B., Silber, H., Keusch, F. and 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. and Pankowska, P. K. (2024). Estimating measurement quality in digital trace data and surveys using the MultiTrait MultiMethod model. Social Science Computer Review : SSCORE, 1–17.
- 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. and 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. and 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. and 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. and Bach, R. L. (2024). Mesuring privacy behavior with donated data. Data Donation Symposium 2024, Amsterdam, The Netherlands.
- Schröder, J., Kapidzic, S., Silber, H., Keusch, F., Menold, N. and Beuthner, C. (2024). Linking survey and Facebook data: mechanisms of consent and linkage. International Journal of Social Research Methodology : IJSRM, 1–13.
- Silber, H., Breuer, J., Felderer, B., Gerdon, F., Stammann, P., Daikeler, J., Keusch, F. and Weiß, B. (2024). Asking for traces: A vignette study on acceptability norms and personal willingness to donate digital trace data. Social Science Computer Review : SSCORE, 1–26.
2023
- Struminskaya, B., Kühne, S., Keusch, F., Hellwig, O., Oglesby, S. and Wachenfeld-Schell, A. (eds.) (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. and 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. and 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. and 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. and 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. and 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. and 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. and Cernat, A. (2023). Reactivity in measuring sensitive online behavior. Internet Research, 33, 1031-1052.
- Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Keusch, F. (2023). Increasing the acceptance of smartphone-based data collection. Public Opinion Quarterly : POQ, 87, 357–388.
- Wenz, A. and 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. and 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. and 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. and Wachenfeld-Schell, A. (eds.) (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. and 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. and Keusch, F. (2022). Do surveys change behaviour? Insights from digital trace data. International Journal of Social Research Methodology : IJSRM, 25, 79–90.
- Cernat, A. and Keusch, F. (2022). Do surveys change behaviours? Significance / Royal Statistical Society, 19, 10–11.
- Haas, G.-C., Keusch, F. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Wachenfeld-Schell, A. (eds.) (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. and 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. and 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. and 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. and 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. and 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. and Schober, M. (2021). New data in social and behavioral research. Public Opinion Quarterly : POQ, 85, 253–263.
- Haensch, A.-C., Herklotz, M., Keusch, F. and 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. and 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. and Steiner, S. (2021). Using smartphone technology for research on refugees: Evidence from Germany. Sociological Methods & Research : SMR, 50, 1863-1894.
- Keusch, F., Wenz, A. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Wachenfeld-Schell, A. (eds.) (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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Wachenfeld-Schell, A. (eds.) (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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Wachenfeld-Schell, A. (eds.) (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. and 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. and 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. and Trappmann, M. (2018). Nonresponse error in passive mobile measurement. Digital Traces Workshop, Bremen, Germany.
- Keusch, F., Haas, G.-C., Kreuter, F., Bähr, S. and Trappmann, M. (2018). Coverage error in smartphone data collection. GOR 2018, 20th General Online Research Conference, Köln, Germany.
- Keusch, F., Kreuter, F., Struminskaya, B. and 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. and Leonard, M. M. (2018). Using smartphone technology for research among refugees in Germany. XIX ISA World Congress of Sociology, Toronto, Canada.
- Keusch, F. and Yan, T. (2018). Is satisficing responsible for response order effects in rating scale questions? Survey Research Methods : SRM, 12, 259–270.
- Keusch, F. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Zhang, C. (2017). A review of issues in gamified surveys. Social Science Computer Review : SSCORE, 35, 147–166.
- Liu, M. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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)