Credit: Katrin Glückler
| Course name | Credits | Details | Term |
|---|---|---|---|
| VL Datenerhebung | 6 ECTS | Course details | fall term |
| Dissertation Tutorial | 2 ECTS | Course details | fall term |
| CDSS Workshop Sociology | 2 ECTS | Course details | fall term |
| Research Design (Lecture) | 6 ECTS | Course details | 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.
Publications
2023
- Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. & 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(2), 841–878. https://doi.org/10.1177/0049124120914924
2022
- Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. & Trappmann, M. (2022). Missing data and other measurement quality issues in mobile geolocation sensor data. Social Science Computer Review : SSCORE, 40(1), 212–235. https://doi.org/10.1177/0894439320944118
- Cernat, A. & Keusch, F. (2022). Do surveys change behaviour? Insights from digital trace data. International Journal of Social Research Methodology : IJSRM, 25(1), 79–90. https://doi.org/10.1080/13645579.2020.1853878
- Kern, C., Gerdon, F., Bach, R. L., Keusch, F. & Kreuter, F. (2022). Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. Patterns, 3(10), 1–13. https://doi.org/10.1016/j.patter.2022.100591
- Keusch, F. (2022). How to distinguish between passive and active mobile data collection . London: Sage Publications. https://doi.org/10.4135/9781529608304
- Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., Trappmann, M. & Eckman, S. (2022). Non-participation in smartphone data collection using research apps. Journal of the Royal Statistical Society. Series A, Statistics in Society, 185(S2), S225–S245. https://doi.org/10.1111/rssa.12827
- Keusch, F. & 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(4), 863–885. https://doi.org/10.1093/jssam/smab035
2021
- Amaya, A., Bach, R. L., Keusch, F. & Kreuter, F. (2021). New data sources in social science research: Things to know before working with Reddit data. Social Science Computer Review : SSCORE, 39(5), 943–960. https://doi.org/10.1177/0894439319893305
- Bach, R. L., Kern, C., Amaya, A., Keusch, F., Kreuter, F., Hecht, J. & Heinemann, J. (2021). Predicting voting behavior using digital trace data. Social Science Computer Review : SSCOR, 39(5), 862–883. https://doi.org/10.1177/0894439319882896
- Bauer, P. C., Gerdon, F., Keusch, F., Kreuter, F. & Vannette, D. L. (2021). Did the GDPR increase trust in data collectors? Evidence from observational and experimental data. Information, Communication & Society : ICS, 25(14), 2101–2121. https://doi.org/10.1080/1369118X.2021.1927138
- Conrad, F. G., Keusch, F. & Schober, M. (2021). New data in social and behavioral research. Public Opinion Quarterly : POQ, 85(S1 = special issue), 253–263. https://doi.org/10.1093/poq/nfab027
- Haensch, A.-C., Herklotz, M., Keusch, F. & 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(3), 921–933. https://doi.org/10.3233/SJI-210833
- Keusch, F., Leonard, M. M., Sajons, C. & Steiner, S. (2021). Using smartphone technology for research on refugees: Evidence from Germany. Sociological Methods & Research : SMR, 50(4), 1863–1894. https://doi.org/10.1177/0049124119852377
- Malich, S., Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. & Trappmann, M. (2021). Mobile Datenerhebung in einem Panel Die IAB-SMART Studie. In T. Wolbring, H. Leitgöb & F. Faulbaum (eds.), Sozialwissenschaftliche Datenerhebung im digitalen Zeitalter (S. 45–69). Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-34396-5_2
- Silber, H., Keusch, F., Breuer, J., Siegers, P., Beuthner, C., Stier, S., Gummer, T. & 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. https://doi.org/10.31235/osf.io/dz93u
2020
- Amaya, A., Bach, R. L., Kreuter, F. & Keusch, F. (2020). Measuring the strength of attitudes in social media data. In C. A. Hill (eds.), Big data meets survey science : a collection of innovative methods (S. 163–192). Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9781118976357.ch5
- Haas, G.-C., Kreuter, F., Keusch, F., Trappmann, M. & Bähr, S. (2020). Effects of incentives in smartphone data collection. In C. A. Hill (eds.), Big data meets survey science : a collection of innovative methods (S. 387–414). Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9781118976357.ch13
- Haas, G.-C., Trappmann, M., Keusch, F., Bähr, S. & Kreuter, F. (2020). Using geofences to collect survey data: Lessons learned from the IAB-SMART study. Survey Methods : Insights from the Field, 2020(10/12/20), 1–12. https://doi.org/10.13094/SMIF-2020-00023
- Hobusch, G. M., Keusch, F., Tsuchiya, H., Joyce, M. & 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(Article 3638), 1–15. https://doi.org/10.3390/jcm9113638
- Horwitz, R., Brockhaus, S., Henninger, F., Kieslich, P. J., Schierholz, M., Keusch, F. & Kreuter, F. (2020). Learning from mouse movements: Improving questionnaires and respondents' user experience through passive data collection. In P. Beatty (eds.), Advances in questionnaire design, development, evaluation, and testing (S. 403–425). Hoboken, NJ: Wiley. https://doi.org/10.1002/9781119263685.ch16
- Keusch, F. & Kreuter, F. (2020). Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung. In B. Keller (eds.), Marktforschung für die Smart Data World : Chancen, Herausforderungen und Grenzen (S. 3–25). Wiesbaden: Springer Gabler. https://doi.org/10.1007/978-3-658-28664-4_1
- Keusch, F., Struminskaya, B., Kreuter, F. & Weichbold, M. (2020). Combining active and passive mobile data collection : A survey of concerns. In C. A. Hill (eds.), Big data meets survey science : a collection of innovative methods (S. 657–682). Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9781118976357.ch22
- Keusch, F. & Yan, T. (2020). Impact of response scale features on survey responses to behavioral questions. In P. J. Lavrakas (eds.), Experimental methods in survey research : techniques that combine random sampling with random assignment (S. 131–149). New Jersey, NJ: Wiley. https://doi.org/10.1002/9781119083771.ch7
- Samoilova, E., Wolbring, T. & Keusch, F. (2020). Datenqualität umfragebasierter Workload-Messungen: Eine Mixed-Methods-Studie auf Grundlage von Learning Analytics und kognitiven Interviews. In C. Engel (eds.), Studentischer Workload (S. 205–229). Wiesbaden: Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-28931-7_8
- Struminskaya, B. & Keusch, F. (2020). Editorial: From web surveys to mobile web to apps, sensors, and digital traces. Survey Methods : Insights from the Field, 2020(10/12/20), 1–7. https://doi.org/10.13094/SMIF-2020-00015
- Struminskaya, B., Lugtig, P., Keusch, F. & Höhne, J. K. (2020). Augmenting surveys with data from sensors and apps: Opportunities and challenges. Social Science Computer Review : SSCORE, 1–13. https://doi.org/10.1177/0894439320979951
2019
- Bauer, P. C., Keusch, F. & Kreuter, F. (2019). Trust and cooperative behavior: Evidence from the realm of data-sharing. PLOS ONE, 14(8), e0220115. https://doi.org/10.1371/journal.pone.0220115
- Keusch, F., Struminskaya, B., Antoun, C., Couper, M. P. & Kreuter, F. (2019). Willingness to participate in passive mobile data collection. Public Opinion Quarterly : POQ, 83(S1), 210–235. https://doi.org/10.1093/poq/nfz007
- Kreuter, F., Haas, G.-C., Keusch, F., Bähr, S. & 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(5), 533–549. https://doi.org/10.1177/0894439318816389
- Wagner, A. L., Keusch, F., Yan, T. & Clarke, P. J. (2019). The impact of weather on summer and winter exercise behaviors. Journal of Sport and Health Science, 8(1), 39–45. https://doi.org/10.1016/j.jshs.2016.07.007
2018
- Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. & 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. & 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. & Yan, T. (2018). Is satisficing responsible for response order effects in rating scale questions? Survey Research Methods : SRM, 12(3), 259–270. https://doi.org/10.18148/srm/2018.v12i3.7263
- Kreuter, F., Frößinger, K., Samoilova, E. & Keusch, F. (2018). “Survey and Data Science” – Ein neuer, berufsbegleitender Studiengang (Fallbeispiel eines “flipped classroom” Online-Programms). In J. Siegers & J. R. Hagedorn (eds.), Handbuch der Aus- und Weiterbildung : Politik, Praxis, finanzielle Förderung (Loseblattausg., Aktualisierungslief. 304, S. 43–68). Köln: Fachverlag Deutscher Wirtschaftsdienst.
- Kreuter, F., Keusch, F., Samoilova, E. & Frößinger, K. (2018). International program in survey and data science. In C. König (eds.), Big Data : Chancen, Risiken, Entwicklungstendenzen (S. 27–41). Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-20083-1_4
- Samoilova, E., Keusch, F. & Kreuter, F. (2018). Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In H. Jiao (eds.), Data analytics and psychometrics : informing assessment practices (S. 247–261). Charlotte, NC: Information Age Publishing.
- Yan, T., Keusch, F. & He, L. (2018). The impact of question and scale characteristics on scale direction effect. Survey Practice, 11(2), Article 8. https://doi.org/10.29115/SP-2018-0008
2017
- Keusch, F. & Yan, T. (2017). Web versus mobile web : an experimental study of device effects and self-selection effects. Social Science Computer Review : SSCORE, 35(6), 751–769. https://doi.org/10.1177/0894439316675566
- Keusch, F. & Zhang, C. (2017). A review of issues in gamified surveys. Social Science Computer Review : SSCORE, 35(2), 147–166. https://doi.org/10.1177/0894439315608451
- Liu, M. & Keusch, F. (2017). Effects of scale direction on response style of ordinal rating scales. Journal of Official Statistics : JOS, 33(1), 137–154. https://doi.org/10.1515/jos-2017-0008
- Samoilova, E., Keusch, F. & Wolbring, T. (2017). Learning analytics and survey data integration in workload research. Zeitschrift für Hochschulentwicklung : ZFHE, 12(1), 65–78. https://doi.org/10.3217/zfhe-12-01/04
- Schacht, S., Keusch, F., Bergmann, N. & 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.
2015
- Clarke, P. J., Yan, T., Keusch, F. & Gallagher, N. A. (2015). The impact of weather on mobility and participation in older US adults. American Journal of Public Health : AJPH, 105(7), 1489–1494. https://doi.org/10.2105/AJPH.2015.302582
- DeCicco, J., Yan, T., Keusch, F., Muñoz, D. H. & Neidert, L. (2015). U.S. consumer attitudes and expectations about energy. Energy Policy, 86, 749–758. https://doi.org/10.1016/j.enpol.2015.08.022
- Keusch, F. (2015). Why do people participate in Web surveys? Applying survey participation theory to Internet survey data collection. Management Review Quarterly, 65(3), 183–216. https://doi.org/10.1007/s11301-014-0111-y
- Yan, T. & Keusch, F. (2015). The effects of the direction of rating scales on survey responses in a telephone survey. Public Opinion Quarterly : POQ, 79(1), 145–165. https://doi.org/10.1093/poq/nfu062
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(3), 305–322. https://doi.org/10.1093/jssam/smu007
- Keusch, F., Batinic, B. & Mayerhofer, W. (2014). Motives for joining nonprobability online panels and their association with survey participation behavior. In M. Callegaro (eds.), Online panel research : a data quality perspective (S. 171–191). Chichester: Wiley. https://doi.org/10.1002/9781118763520.ch8
- Keusch, F., Rao, R., Chang, L., Lepkowski, J., Reddy, P. & 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(10), 1604–1611. https://doi.org/10.1016/j.bbmt.2014.06.020
2013
- Keusch, F. (2013). The role of topic interest and topic salience in online panel web surveys. International Journal of Market Research : IJMR, 55(1), 59–80. https://doi.org/10.2501/IJMR-2013-007
2012
- Keusch, F. (2012). How to increase response rates in list-based web survey samples. Social Science Computer Review : SSCORE, 30(3), 380–388. https://doi.org/10.1177/0894439311409709
2011
- Keusch, F. (2011). Webbefragungen : Einflussfaktoren auf die Qualität und den Rücklauf von Befragungen in Online Panels . Wien: Facultas.wuv.
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)