My Publications
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Refereed Journal Articles
39. Beuther, C., Weiß, B., Silber, H., Keusch, F., & Schröder, J. (2023). Consent to data linkage for different data domains – The role of question order, question wording, and incentives. International Journal of Social Research Methodology. Published online before print, February 6, 2023. 10.1080/13645579.2023.2173847
38. Wenz, A. & Keusch, F. (2022). The second-level smartphone divide: A typology of smartphone usage based on frequency of use, skills, and types of activities. Mobile Media & Communication. Published online before print, November 30, 2022. 10.1177/20501579221140761
37. Haas, G.-C., Keusch, F., & Frölich, M. (2022). Comparing single-sitting versus modular text message surveys in Egypt. International Journal of Public Opinion Research. Published online before print, November 9, 2022. 10.1093/ijpor/edac023
36. Silber, H., Breuer, J., Beuthner, C., Gummer, T., Keusch, F., Siegers, P., Stier, S., & Weiß, B. (2022). Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behavior. Journal of the Royal Statistical Society. Series A. Published online before print, November 9, 2022. 10.1111/rssa.12954
35. Kern, C., Gerdon, F., Bach, R.L., Keusch, F., & Kreuter, F. (2022). Humans vs. machines: Who is perceived to decide fairer? Experimental evidence on attitudes towards automated decision-making. Patterns, 3, 100591. 10.1016/j.patter.2022.100591 [Data; Code]
34. Silber, H., Gerdon, F., Bach, R., Kern, C., Keusch, F., & 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, 41, 161-181. 10.1017/pls.2022.15 [Data]
33. Keusch, F., Bach, R., & Cernat, A. (2022). Reactivity in measuring sensitive online behavior. Internet Research. Published online before print August 9, 2022. 10.1108/INTR-01-2021-0053
32. Trappmann, M., Bähr, S., Malich, S., Keusch, F., Schwarz, S., Haas, G.-C., & Kreuter, F. (2022). Augmenting survey data with other data types: Is there a threat to panel retention? Journal of Survey Statistics and Methodology. Published online before print June 28, 2022. 10.1093/jssam/smac023
31. Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., Trappmann, M., & Eckman, S. (2022). Nonparticipation in smartphone data collection using research apps. Journal of the Royal Statistical Society. Series A. Published online before print April 12, 2022. 10.1111/rssa.12827
30. Bauer, P.C., Gerdon, F., Keusch, F., Kreuter, F., & Vannette, D. (2022). Did the GDPR increase trust in data collectors? Evidence from observational and experimental data. Information, Communication and Society, 25, 2101-2121. 10.1080/1369118X.2021.1927138 [Data & Code]
29. Keusch, F., Wenz, A., & Conrad, F. (2022). Do you have your smartphone with you? Behavioral barriers for measuring everyday activities with smartphone sensors. Computers in Human Behavior, 127, 107054. 10.1016/j.chb.2021.107054 [Data; Data; Code]
28. Cernat, A. & Keusch, F. (2022). Do surveys change behaviour? Insights from digital trace data. International Journal of Social Research Methodology. 25, 79-90. 10.1080/13645579.2020.1853878
27. 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, 40, 212-235. 10.1177/0894439320944118
26. 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, 10, 863-885. 10.1093/jssam/smab035
25. Keusch, F., Leonard, M.M., Sajons, C., & Steiner, S. (2021). Using smartphone technology for research on refugees – Evidence from Germany. Sociological Methods & Research, 50, 1863-1894. 10.1177/0049124119852377
25. Amaya, A., Bach, R., Keusch, F., & Kreuter, F. (2021). New data sources in social science research: Things to know before working with Reddit data. Social Science Computer Review, 39, 943-960. 10.1177/0894439319893305
23. 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, 921-933. 10.3233/SJI-210833
22. Bach, R.L., Kern, C., Amaya, A., Keusch, F., Kreuter, F., Hecht, J., & Heinemann, J. (2019). Predicting voting behavior using digital trace data. Social Science Computer Review, 39, 862-883. 10.1177/0894439319882896 [Code]
21. Haas, G., 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. 10.13094/SMIF-2020-00023
20. 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(11), 3638. 10.3390/jcm9113638
19. Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., & Trappmann, M. (2020). Coverage error in data collection combining mobile surveys with passive measurement using apps: Data from a German national survey. Sociological Methods & Research. Published online before print April 7, 2020. 10.1177/0049124120914924
18. Kreuter, F., Haas, G.-C., Keusch, F., Bähr, S., & Trappmann, M. (2020). Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent. Social Science Computer Review, 38, 533-549. 10.1177/0894439318816389.
17. Bauer, P.C., Keusch, F., & Kreuter, F. (2019). Trust and cooperative behavior: Evidence from data sharing attitudes and behavior. PLoS ONE, 14(8): e0220115. 10.1371/journal.pone.0220115 [Data, Code]
16. Keusch, F., Struminskaya, B., Antoun, C., Couper, M.P., & Kreuter, F. (2019). Willingness to participate in passive mobile data collection. Public Opinion Quarterly, 83, 210-235. 10.1093/poq/nfz007 [Data]
15. Wagner, A., Keusch, F., Yan, T., & Clarke, P. (2019). The impact of weather on summer and winter exercise behaviors. Journal of Sport and Health Science, 8, 39-45. 10.1016/j.jshs.2016.07.007
14. McClain, C.A., Couper, M.P., Hupp, A., Keusch, F., Peterson, G., Piskorowski, A., & West, B.T. (2019). A typology of web survey paradata for assessing Total Survey Error. Social Science Computer Review, 37, 196-213. 10.1177/0894439318759670
13. Keusch, F. & Yan, T. (2018). Is satisficing responsible for response order effects in rating scale questions? Survey Research Methods, 12, 259-270. 10.18148/srm/2018.v12i3.7263 [Data, Code]
12. Keusch, F. & Yan, T. (2017). Web vs. mobile Web – An experimental study of device effects and self-selection effects. Social Science Computer Review. 35, 751-769. 10.1177/0894439316675566
11. Keusch, F. & Zhang, C. (2017). A review of issues in gamified survey design. Social Science Computer Review, 35, 147-166. 10.1177/089443931560845
10. Liu, M. & Keusch, F. (2017). Effects of scale direction on response style of ordinal rating scales. Journal of Official Statistics, 33, 137-154. 10.1515/jos-2017-0008
9. Somailova, Z., Keusch, F., & Wolbring, T. (2017). Learning Analytics and survey data integration in work-load research. Zeitschrift für Hochschulentwicklung, 12(1), 65-78. 10.3217/zfhe-12-01/04
8. 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. 10.1007/s11301-014-0111-y
7. Yan, T. & Keusch, F. (2015). The effects of the direction of rating scales on survey responses in a telephone survey. Public Opinion Quarterly, 79, 145-165. 10.1093/poq/nfu062
6. DeCicco, J., Yan, T., Keusch, F., Munoz, D.H., & Neidert, L. (2015). U.S. consumer attitudes and expectations about energy. Energy Policy, 86, 749-758. 10.1016/j.enpol.2015.08.022
5. Clark, P., Yan, T., Keusch, F., & Gallagher, N.A. (2015). The impact of weather on mobility and participation in American adults. American Journal of Public Health, 105, 1489-1495. 10.2105/AJPH.2015.302582
4. Keusch, F., Raho, 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 cell transplantation. Biology of Bone and Marrow Transplantation, 20, 1604-1611. 10.1016/j.bbmt.2014.06.020
3. Keusch, F. (2014). The influence of answer box format on response behavior on list-style open-ended questions. Journal of Survey Statistics and Methodology, 2, 305-322. 10.1093/jssam/smu007
2. Keusch, F. (2013). The role of topic interest and topic salience in online panel web surveys. International Journal of Market Research, 55, 59-80. DOI: , 55, 59-80. 10.2501/IJMR-2013-007
1. Keusch, F. (2012). How to increase response rates in list-based web survey samples. Social Science Computer Review, 30, 380-388. 10.1177/0894439311409709
Refereed Conference Papers
2. Kreuter, F., Keusch, F., & Samolova, Z. (2018). International Program in Survey and Data Science. In Proceedings of the 10th International Conference on Teaching Statistics, Kyoto, Japan, July 8-13, 2018. http://iase-web.org/icots/10/proceedings/pdfs/ICOTS10_5G3.pdf
1. Schacht, S., Keusch, F., Bergmann, N., & Morana, S. (2017). Web survey gamification. Increasing data quality in web surveys by using game design elements. In Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, June 5-10, 2017 (pp. 2907-2917). ISBN 978-0-9915567-0-0 Research-in-Progress Papers. http://aisel.aisnet.org/ecis2017_rip/40
Books
1. Keusch, F. (2011). Webbefragungen. Einflussfaktoren auf Qualität und den Rücklauf von Befragungen in Online Panels. (Web Surveys. Factors Influencing Response Rate and Data Quality of Surveys in Online Panels) facultas.wuv, Vienna.
Refereed Book Chapters
15. Lorenz, R., Beck, J., Horneber, S., Keusch, F., & Antoun, C. (2022). Google Trends as a tool for public opinion research: An illustration of the perceived threats of immigration. In Pötzschke, S. & Rinken, S. (Eds.) Migration Research in a Digitalized World, 193-206. Cham: Springer. 10.1007/978-3-031-01319-5_10
14. Keusch, F. & Kreuter, F. (2022). Digital trace data. Modes of data collection, applications, and errors at a glance. In Engel, U. et al. (Eds.) Handbook of Computational Social Science. Volume 1: Theory, Case Studies and Ethics, 100-118. Milton Park: Routledge. 10.4324/9781003024583-8
13. Malich, S., Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., & Trappmann, M. (2021). Mobile Datenerhebung in einem Panel. Die IAB-SMART Studie. In Wolbring, T., et al. (Eds.) Sozialwissenschaftliche Datenerhebung im digitalen Zeitalter, 45-69. Wiesbaden: Springer. 10.1007/978-3-658-34396-5_2
12. Keusch, F., Struminskaya, B., Kreuter, F., & Weichbold, M. (2021). Combining active and passive mobile data collection: A survey of concerns. In Hill, C.A., et al. (Eds.) Big Data Meets Survey Science: A Collection of Innovative Methods, 657-682. Hoboken, NJ: Wiley. 10.1002/9781118976357.ch22 [Data; Data; Data; Data; Code]
11. Haas, G.-C., Kreuter, F., Keusch, F., Trappmann, M., & Bähr, S. (2021). Effects of incentives in smartphone data collection. In Hill, C.A., et al. (Eds.) Big Data Meets Survey Science: A Collection of Innovative Methods, 387-414. Hoboken, NJ: Wiley. 10.1002/9781118976357.ch13.
10. Amaya, A., Bach, R., Keusch, F., & Kreuter, F. (2021). Measuring attitude strength in social media data. In Hill, C.A., et al. (Eds.) Big Data Meets Survey Science: A Collection of Innovative Methods, 163-192. Hoboken, NJ: Wiley. 10.1002/9781118976357.ch5.
9. Samoilova, E., Wolbring, T., & Keusch, F. (2020). Datenqualitätsprobleme bei der umfragebasierten Messung von studentischem Workload: Eine Mixed-Methods-Studie auf Grundlage von Learning Analytics und kognitiven Interviews [Data quality problems in survey-based measurement of student workload: A mixed-mode study using learning analytics and cognitive interviewing]. In Großmann, D., Engel, C., Junkermann, J., & Wolbring, T. (Eds.) Studentischer Workload, 205-229. Wiesbaden: Springer. 10.1007/978-3-658-28931-7_8.
8. Keusch, F. & Kreuter, F. (2020). Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung [The future of education in market and social research]. In Keller, B., Klein, H.-W., Wachenfeld-Schell, A., & Wirth, Th. (Eds.) Marktforschung für die Smart Data World. Chancen, Herausforderungen und Grenzen. Wiesbaden: Springer Gabler, 3-25. 10.1007/978-3-658-28664-4_1.
7. Horwitz, R., Brockhaus, S., Kieslich, P., Henninger, F., Schierholz, M., Keusch, F., & Kreuter, F. (2020). Learning from mouse movements: Improving questionnaires and respondents’ user experience through passive data collection. In P. Beatty, D. Collins, L. Kaye, J. Padilla, G. Willis, & A. Wilmot (Eds.) Advances in questionnaire design, development, evaluation and testing. Hoboke, NJ: Wiley, 403-425. 10.1002/9781119263685.ch16.
6. Keusch, F. & Yan, T. (2019). Impact of response scale features on survey responses to factual/behavioral questions. In P.J. Lavrakas, E. de Leeuw, A. Holbrook, C. Kennedy, M.W. Traugott, & B.T. West (Eds.) Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment. Hoboken, NJ: Wiley, 131-149. 10.1002/9781119083771.ch7
5. Lee, S., Keusch, F., Schwarz, N., Liu, M., & Suzer-Gurtekin, T. (2019). Cross-cultural comparability of response patterns of expectation questions: A role of cultural orientation of time perspectives and locus of control. In T. Johnson, B.-E. Pennell, I. Stoop, & B. Dorer (Eds.) Advances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts (3MC). Hoboken, NJ: Wiley, 455-475. 10.1002/9781118884997.ch21
4. Liu, M., Suzer-Gurtekin, T., Keusch, F., & Lee, S. (2019). Response styles in cross-cultural surveys: An overview on estimation and adjustment methods and empirical applications. In T. Johnson, B.-E. Pennell, I. Stoop, & B. Dorer (Eds.) Advances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts (3MC). Hoboken, NJ: Wiley, 477-499. 10.1002/9781118884997.ch22
3. Samoilova, E., Keusch, F., & Kreuter, F. (2018). Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In H. Jiao, R.W. Lissitz, & A. Van Wie (Eds.) Data Analytics and Psychometrics: Informing Assessment Practices. Charlotte, NC: Information Age Publishing, 247-261.
2. Kreuter, F., Keusch, F., Samoilova, E., & Frößinger, K. (2018). International Program in Survey and Data Science. In C. König, J. Schröder, & E. Wiegand (Eds.) Big Data. Chancen, Risiken, Entwicklungstendenzen. Wiesbaden: Springer, 27-41. 10.1007/2F978-3-658-20083-1_4
1. Keusch, F., Batinic, B., & Mayerhofer, W. (2014). Motives for joining nonprobability online panels and their association with survey participation behavior. In M. Callegaro, R. Baker, J. Bethlehem, A.S. Göritz, J.A. Krosnick, & P.J. Lavrakas (Eds.) Online panel research: A data quality perspective. Wiley, 171-191. 10.1002/9781118763520.ch8
Non-peer Reviewed Papers, Preprints, Reports, and Working Papers
19. Cernat, A. & Keusch, F. (2022). Do surveys change behaviours? Significance, August 2022, 10-11. 10.1111/1740-9713.01665
18. Keusch, F. (2022). How to distinguish between passive and active mobile data collection. In N. Sugie (Ed.) SAGE Doing Research Online. 10.4135/9781529608304
17. Haas, G.-C., Keusch, F., & Frölich, M. (2022). Comparing single-sitting versus modular text message surveys in Egypt. SocArXiv. 10.31235/osf.io/ajfhe
16. Beuthner, C., Keusch, F., Silber, H., Weiß, B., & Schröder, J. (2022). Consent to data linkage for different data domains – The role of question order, question wording, and incentives. SocArXiv. 10.31235/osf.io/qh93g
15. Conrad, F., Keusch, F., & Schober, M. (2021). Editorial: New data in social and behavioral research. Public Opinion Quarterly, 85, 253-263. 10.1093/poq/nfab027
14. Wenz, A. & Keusch, F. (2021). The second-level smartphone divide: A typology of smartphone usage based on frequency of use, skills, and types of activities. ArXiv. arxiv.org/abs/2111.05142
13. Silber, H., Breuer, J., Beuthner, C., Gummer, T., Keusch, F., Siegers, P., Stier, S., & Weiß, B. (2021). Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behavior. SocArXiv. 10.31235/osf.io/dz93u
12. Struminskaya, B., Lugtig, P., Keusch, F., Höhne, J.K. (2020). Editorial: Augmenting surveys with data from sensors and apps: Opportunities and challenges. Social Science Computer Review. Published online December 20, 2020. 10.1177/0894439320979951
11. Struminskaya, B. & Keusch, F. (2020). Editorial: From web surveys to mobile web to apps, sensors, and digital traces. Survey Methods: Insights from the Field. 10.13094/SMIF-2020-00015
10. Keusch, F. (2020). Gamification in web surveys. In P. Atkinson, S. Delamont, A. Cernat, J.W. Sakshaug, & R.A. Williams (Eds.) SAGE Research Methods Foundations. 10.4135/9781526421036888649
9. Bauer, P.C., Keusch, F., & Kreuter, F. (2019). Trust and cooperation: Evidence from the realm of data-sharing. SSRN. 10.2139/ssrn.3327244
8. 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. https://www.iab-forum.de/iab-smart-studie-mit-dem-smartphone-den-arbeitsmarkt-erforschen/
7. Yan, T., Keusch, F., & He, L. (2018). The impact of question and scale characteristics on scale direction effect. Survey Practice, 11(2). Published online January 15, 2018. 10.29115/SP-2018-0005
6. Horwitz, R., Brockhaus, S., Henninger, F., Kieslich, P., Schierholz, M., Keusch, F., & Kreuter, F. (2017): Learning from mouse movements: Improving questionnaire and respondents' user experience through passive data collection. IAB-Discussion Paper, 34/2017, Nürnberg.
5. Samoilova, E., Keusch, F., & Kreuter, F. (2017). Integrating Survey and Learning Analytics Data for a Better Understanding of Engagement in MOOCs. IPSDS Working Papers #02.
4. Samoilova, E., Keusch, F., & Wolbring, T. (2016). Learning Analytics and Survey Data Integration in Workload Research. IPSDS Working Papers #01.
3. Creighton, M., Dykema, J., Gaia, A., Cernat, A., Garbarski, D., Jamal, A., Kaminska, O., Keusch, F., Lynn, P., Oberski, D., Schaeffer, N.C., Uhrig, S.C.N., & Yan, T. (2016). Understanding Society Innovation Panel Wave 8: Results from Methodological Experiments. Understanding Society Working Paper Series 2016-02.
2. Blom, A.G., Burton, J., Booker, C.L., Cernat, A., Fairbrother, M., Jäckle, A., Kaminska, O., Keusch, F., Krosnick, J.A., Lynn, P., Oberski, D., Pudney, S., Sala, E., Schnettler, S., Silber, H., Stark, T.H., Uhrig, S.C.N., Yan, T. (2015). Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments. Understanding Society Working Paper Series 2015-03.
1. DeCicco, J., Yan, T., Keusch, F., Muñoz, D.H., & Neidert, L. (2014). University of Michigan Energy Survey: Year One Report. University of Michigan.
ResearchGate Profile
ORCID Profile
Web of Science ResearcherID Profile
Scopus Profile
Refereed Journal Articles
39. Beuther, C., Weiß, B., Silber, H., Keusch, F., & Schröder, J. (2023). Consent to data linkage for different data domains – The role of question order, question wording, and incentives. International Journal of Social Research Methodology. Published online before print, February 6, 2023. 10.1080/13645579.2023.2173847
38. Wenz, A. & Keusch, F. (2022). The second-level smartphone divide: A typology of smartphone usage based on frequency of use, skills, and types of activities. Mobile Media & Communication. Published online before print, November 30, 2022. 10.1177/20501579221140761
37. Haas, G.-C., Keusch, F., & Frölich, M. (2022). Comparing single-sitting versus modular text message surveys in Egypt. International Journal of Public Opinion Research. Published online before print, November 9, 2022. 10.1093/ijpor/edac023
36. Silber, H., Breuer, J., Beuthner, C., Gummer, T., Keusch, F., Siegers, P., Stier, S., & Weiß, B. (2022). Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behavior. Journal of the Royal Statistical Society. Series A. Published online before print, November 9, 2022. 10.1111/rssa.12954
35. Kern, C., Gerdon, F., Bach, R.L., Keusch, F., & Kreuter, F. (2022). Humans vs. machines: Who is perceived to decide fairer? Experimental evidence on attitudes towards automated decision-making. Patterns, 3, 100591. 10.1016/j.patter.2022.100591 [Data; Code]
34. Silber, H., Gerdon, F., Bach, R., Kern, C., Keusch, F., & 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, 41, 161-181. 10.1017/pls.2022.15 [Data]
33. Keusch, F., Bach, R., & Cernat, A. (2022). Reactivity in measuring sensitive online behavior. Internet Research. Published online before print August 9, 2022. 10.1108/INTR-01-2021-0053
32. Trappmann, M., Bähr, S., Malich, S., Keusch, F., Schwarz, S., Haas, G.-C., & Kreuter, F. (2022). Augmenting survey data with other data types: Is there a threat to panel retention? Journal of Survey Statistics and Methodology. Published online before print June 28, 2022. 10.1093/jssam/smac023
31. Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., Trappmann, M., & Eckman, S. (2022). Nonparticipation in smartphone data collection using research apps. Journal of the Royal Statistical Society. Series A. Published online before print April 12, 2022. 10.1111/rssa.12827
30. Bauer, P.C., Gerdon, F., Keusch, F., Kreuter, F., & Vannette, D. (2022). Did the GDPR increase trust in data collectors? Evidence from observational and experimental data. Information, Communication and Society, 25, 2101-2121. 10.1080/1369118X.2021.1927138 [Data & Code]
29. Keusch, F., Wenz, A., & Conrad, F. (2022). Do you have your smartphone with you? Behavioral barriers for measuring everyday activities with smartphone sensors. Computers in Human Behavior, 127, 107054. 10.1016/j.chb.2021.107054 [Data; Data; Code]
28. Cernat, A. & Keusch, F. (2022). Do surveys change behaviour? Insights from digital trace data. International Journal of Social Research Methodology. 25, 79-90. 10.1080/13645579.2020.1853878
27. 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, 40, 212-235. 10.1177/0894439320944118
26. 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, 10, 863-885. 10.1093/jssam/smab035
25. Keusch, F., Leonard, M.M., Sajons, C., & Steiner, S. (2021). Using smartphone technology for research on refugees – Evidence from Germany. Sociological Methods & Research, 50, 1863-1894. 10.1177/0049124119852377
25. Amaya, A., Bach, R., Keusch, F., & Kreuter, F. (2021). New data sources in social science research: Things to know before working with Reddit data. Social Science Computer Review, 39, 943-960. 10.1177/0894439319893305
23. 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, 921-933. 10.3233/SJI-210833
22. Bach, R.L., Kern, C., Amaya, A., Keusch, F., Kreuter, F., Hecht, J., & Heinemann, J. (2019). Predicting voting behavior using digital trace data. Social Science Computer Review, 39, 862-883. 10.1177/0894439319882896 [Code]
21. Haas, G., 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. 10.13094/SMIF-2020-00023
20. 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(11), 3638. 10.3390/jcm9113638
19. Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., & Trappmann, M. (2020). Coverage error in data collection combining mobile surveys with passive measurement using apps: Data from a German national survey. Sociological Methods & Research. Published online before print April 7, 2020. 10.1177/0049124120914924
18. Kreuter, F., Haas, G.-C., Keusch, F., Bähr, S., & Trappmann, M. (2020). Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent. Social Science Computer Review, 38, 533-549. 10.1177/0894439318816389.
17. Bauer, P.C., Keusch, F., & Kreuter, F. (2019). Trust and cooperative behavior: Evidence from data sharing attitudes and behavior. PLoS ONE, 14(8): e0220115. 10.1371/journal.pone.0220115 [Data, Code]
16. Keusch, F., Struminskaya, B., Antoun, C., Couper, M.P., & Kreuter, F. (2019). Willingness to participate in passive mobile data collection. Public Opinion Quarterly, 83, 210-235. 10.1093/poq/nfz007 [Data]
15. Wagner, A., Keusch, F., Yan, T., & Clarke, P. (2019). The impact of weather on summer and winter exercise behaviors. Journal of Sport and Health Science, 8, 39-45. 10.1016/j.jshs.2016.07.007
14. McClain, C.A., Couper, M.P., Hupp, A., Keusch, F., Peterson, G., Piskorowski, A., & West, B.T. (2019). A typology of web survey paradata for assessing Total Survey Error. Social Science Computer Review, 37, 196-213. 10.1177/0894439318759670
13. Keusch, F. & Yan, T. (2018). Is satisficing responsible for response order effects in rating scale questions? Survey Research Methods, 12, 259-270. 10.18148/srm/2018.v12i3.7263 [Data, Code]
12. Keusch, F. & Yan, T. (2017). Web vs. mobile Web – An experimental study of device effects and self-selection effects. Social Science Computer Review. 35, 751-769. 10.1177/0894439316675566
11. Keusch, F. & Zhang, C. (2017). A review of issues in gamified survey design. Social Science Computer Review, 35, 147-166. 10.1177/089443931560845
10. Liu, M. & Keusch, F. (2017). Effects of scale direction on response style of ordinal rating scales. Journal of Official Statistics, 33, 137-154. 10.1515/jos-2017-0008
9. Somailova, Z., Keusch, F., & Wolbring, T. (2017). Learning Analytics and survey data integration in work-load research. Zeitschrift für Hochschulentwicklung, 12(1), 65-78. 10.3217/zfhe-12-01/04
8. 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. 10.1007/s11301-014-0111-y
7. Yan, T. & Keusch, F. (2015). The effects of the direction of rating scales on survey responses in a telephone survey. Public Opinion Quarterly, 79, 145-165. 10.1093/poq/nfu062
6. DeCicco, J., Yan, T., Keusch, F., Munoz, D.H., & Neidert, L. (2015). U.S. consumer attitudes and expectations about energy. Energy Policy, 86, 749-758. 10.1016/j.enpol.2015.08.022
5. Clark, P., Yan, T., Keusch, F., & Gallagher, N.A. (2015). The impact of weather on mobility and participation in American adults. American Journal of Public Health, 105, 1489-1495. 10.2105/AJPH.2015.302582
4. Keusch, F., Raho, 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 cell transplantation. Biology of Bone and Marrow Transplantation, 20, 1604-1611. 10.1016/j.bbmt.2014.06.020
3. Keusch, F. (2014). The influence of answer box format on response behavior on list-style open-ended questions. Journal of Survey Statistics and Methodology, 2, 305-322. 10.1093/jssam/smu007
2. Keusch, F. (2013). The role of topic interest and topic salience in online panel web surveys. International Journal of Market Research, 55, 59-80. DOI: , 55, 59-80. 10.2501/IJMR-2013-007
1. Keusch, F. (2012). How to increase response rates in list-based web survey samples. Social Science Computer Review, 30, 380-388. 10.1177/0894439311409709
Refereed Conference Papers
2. Kreuter, F., Keusch, F., & Samolova, Z. (2018). International Program in Survey and Data Science. In Proceedings of the 10th International Conference on Teaching Statistics, Kyoto, Japan, July 8-13, 2018. http://iase-web.org/icots/10/proceedings/pdfs/ICOTS10_5G3.pdf
1. Schacht, S., Keusch, F., Bergmann, N., & Morana, S. (2017). Web survey gamification. Increasing data quality in web surveys by using game design elements. In Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, June 5-10, 2017 (pp. 2907-2917). ISBN 978-0-9915567-0-0 Research-in-Progress Papers. http://aisel.aisnet.org/ecis2017_rip/40
Books
1. Keusch, F. (2011). Webbefragungen. Einflussfaktoren auf Qualität und den Rücklauf von Befragungen in Online Panels. (Web Surveys. Factors Influencing Response Rate and Data Quality of Surveys in Online Panels) facultas.wuv, Vienna.
Refereed Book Chapters
15. Lorenz, R., Beck, J., Horneber, S., Keusch, F., & Antoun, C. (2022). Google Trends as a tool for public opinion research: An illustration of the perceived threats of immigration. In Pötzschke, S. & Rinken, S. (Eds.) Migration Research in a Digitalized World, 193-206. Cham: Springer. 10.1007/978-3-031-01319-5_10
14. Keusch, F. & Kreuter, F. (2022). Digital trace data. Modes of data collection, applications, and errors at a glance. In Engel, U. et al. (Eds.) Handbook of Computational Social Science. Volume 1: Theory, Case Studies and Ethics, 100-118. Milton Park: Routledge. 10.4324/9781003024583-8
13. Malich, S., Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F., & Trappmann, M. (2021). Mobile Datenerhebung in einem Panel. Die IAB-SMART Studie. In Wolbring, T., et al. (Eds.) Sozialwissenschaftliche Datenerhebung im digitalen Zeitalter, 45-69. Wiesbaden: Springer. 10.1007/978-3-658-34396-5_2
12. Keusch, F., Struminskaya, B., Kreuter, F., & Weichbold, M. (2021). Combining active and passive mobile data collection: A survey of concerns. In Hill, C.A., et al. (Eds.) Big Data Meets Survey Science: A Collection of Innovative Methods, 657-682. Hoboken, NJ: Wiley. 10.1002/9781118976357.ch22 [Data; Data; Data; Data; Code]
11. Haas, G.-C., Kreuter, F., Keusch, F., Trappmann, M., & Bähr, S. (2021). Effects of incentives in smartphone data collection. In Hill, C.A., et al. (Eds.) Big Data Meets Survey Science: A Collection of Innovative Methods, 387-414. Hoboken, NJ: Wiley. 10.1002/9781118976357.ch13.
10. Amaya, A., Bach, R., Keusch, F., & Kreuter, F. (2021). Measuring attitude strength in social media data. In Hill, C.A., et al. (Eds.) Big Data Meets Survey Science: A Collection of Innovative Methods, 163-192. Hoboken, NJ: Wiley. 10.1002/9781118976357.ch5.
9. Samoilova, E., Wolbring, T., & Keusch, F. (2020). Datenqualitätsprobleme bei der umfragebasierten Messung von studentischem Workload: Eine Mixed-Methods-Studie auf Grundlage von Learning Analytics und kognitiven Interviews [Data quality problems in survey-based measurement of student workload: A mixed-mode study using learning analytics and cognitive interviewing]. In Großmann, D., Engel, C., Junkermann, J., & Wolbring, T. (Eds.) Studentischer Workload, 205-229. Wiesbaden: Springer. 10.1007/978-3-658-28931-7_8.
8. Keusch, F. & Kreuter, F. (2020). Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung [The future of education in market and social research]. In Keller, B., Klein, H.-W., Wachenfeld-Schell, A., & Wirth, Th. (Eds.) Marktforschung für die Smart Data World. Chancen, Herausforderungen und Grenzen. Wiesbaden: Springer Gabler, 3-25. 10.1007/978-3-658-28664-4_1.
7. Horwitz, R., Brockhaus, S., Kieslich, P., Henninger, F., Schierholz, M., Keusch, F., & Kreuter, F. (2020). Learning from mouse movements: Improving questionnaires and respondents’ user experience through passive data collection. In P. Beatty, D. Collins, L. Kaye, J. Padilla, G. Willis, & A. Wilmot (Eds.) Advances in questionnaire design, development, evaluation and testing. Hoboke, NJ: Wiley, 403-425. 10.1002/9781119263685.ch16.
6. Keusch, F. & Yan, T. (2019). Impact of response scale features on survey responses to factual/behavioral questions. In P.J. Lavrakas, E. de Leeuw, A. Holbrook, C. Kennedy, M.W. Traugott, & B.T. West (Eds.) Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment. Hoboken, NJ: Wiley, 131-149. 10.1002/9781119083771.ch7
5. Lee, S., Keusch, F., Schwarz, N., Liu, M., & Suzer-Gurtekin, T. (2019). Cross-cultural comparability of response patterns of expectation questions: A role of cultural orientation of time perspectives and locus of control. In T. Johnson, B.-E. Pennell, I. Stoop, & B. Dorer (Eds.) Advances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts (3MC). Hoboken, NJ: Wiley, 455-475. 10.1002/9781118884997.ch21
4. Liu, M., Suzer-Gurtekin, T., Keusch, F., & Lee, S. (2019). Response styles in cross-cultural surveys: An overview on estimation and adjustment methods and empirical applications. In T. Johnson, B.-E. Pennell, I. Stoop, & B. Dorer (Eds.) Advances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts (3MC). Hoboken, NJ: Wiley, 477-499. 10.1002/9781118884997.ch22
3. Samoilova, E., Keusch, F., & Kreuter, F. (2018). Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In H. Jiao, R.W. Lissitz, & A. Van Wie (Eds.) Data Analytics and Psychometrics: Informing Assessment Practices. Charlotte, NC: Information Age Publishing, 247-261.
2. Kreuter, F., Keusch, F., Samoilova, E., & Frößinger, K. (2018). International Program in Survey and Data Science. In C. König, J. Schröder, & E. Wiegand (Eds.) Big Data. Chancen, Risiken, Entwicklungstendenzen. Wiesbaden: Springer, 27-41. 10.1007/2F978-3-658-20083-1_4
1. Keusch, F., Batinic, B., & Mayerhofer, W. (2014). Motives for joining nonprobability online panels and their association with survey participation behavior. In M. Callegaro, R. Baker, J. Bethlehem, A.S. Göritz, J.A. Krosnick, & P.J. Lavrakas (Eds.) Online panel research: A data quality perspective. Wiley, 171-191. 10.1002/9781118763520.ch8
Non-peer Reviewed Papers, Preprints, Reports, and Working Papers
19. Cernat, A. & Keusch, F. (2022). Do surveys change behaviours? Significance, August 2022, 10-11. 10.1111/1740-9713.01665
18. Keusch, F. (2022). How to distinguish between passive and active mobile data collection. In N. Sugie (Ed.) SAGE Doing Research Online. 10.4135/9781529608304
17. Haas, G.-C., Keusch, F., & Frölich, M. (2022). Comparing single-sitting versus modular text message surveys in Egypt. SocArXiv. 10.31235/osf.io/ajfhe
16. Beuthner, C., Keusch, F., Silber, H., Weiß, B., & Schröder, J. (2022). Consent to data linkage for different data domains – The role of question order, question wording, and incentives. SocArXiv. 10.31235/osf.io/qh93g
15. Conrad, F., Keusch, F., & Schober, M. (2021). Editorial: New data in social and behavioral research. Public Opinion Quarterly, 85, 253-263. 10.1093/poq/nfab027
14. Wenz, A. & Keusch, F. (2021). The second-level smartphone divide: A typology of smartphone usage based on frequency of use, skills, and types of activities. ArXiv. arxiv.org/abs/2111.05142
13. Silber, H., Breuer, J., Beuthner, C., Gummer, T., Keusch, F., Siegers, P., Stier, S., & Weiß, B. (2021). Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behavior. SocArXiv. 10.31235/osf.io/dz93u
12. Struminskaya, B., Lugtig, P., Keusch, F., Höhne, J.K. (2020). Editorial: Augmenting surveys with data from sensors and apps: Opportunities and challenges. Social Science Computer Review. Published online December 20, 2020. 10.1177/0894439320979951
11. Struminskaya, B. & Keusch, F. (2020). Editorial: From web surveys to mobile web to apps, sensors, and digital traces. Survey Methods: Insights from the Field. 10.13094/SMIF-2020-00015
10. Keusch, F. (2020). Gamification in web surveys. In P. Atkinson, S. Delamont, A. Cernat, J.W. Sakshaug, & R.A. Williams (Eds.) SAGE Research Methods Foundations. 10.4135/9781526421036888649
9. Bauer, P.C., Keusch, F., & Kreuter, F. (2019). Trust and cooperation: Evidence from the realm of data-sharing. SSRN. 10.2139/ssrn.3327244
8. 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. https://www.iab-forum.de/iab-smart-studie-mit-dem-smartphone-den-arbeitsmarkt-erforschen/
7. Yan, T., Keusch, F., & He, L. (2018). The impact of question and scale characteristics on scale direction effect. Survey Practice, 11(2). Published online January 15, 2018. 10.29115/SP-2018-0005
6. Horwitz, R., Brockhaus, S., Henninger, F., Kieslich, P., Schierholz, M., Keusch, F., & Kreuter, F. (2017): Learning from mouse movements: Improving questionnaire and respondents' user experience through passive data collection. IAB-Discussion Paper, 34/2017, Nürnberg.
5. Samoilova, E., Keusch, F., & Kreuter, F. (2017). Integrating Survey and Learning Analytics Data for a Better Understanding of Engagement in MOOCs. IPSDS Working Papers #02.
4. Samoilova, E., Keusch, F., & Wolbring, T. (2016). Learning Analytics and Survey Data Integration in Workload Research. IPSDS Working Papers #01.
3. Creighton, M., Dykema, J., Gaia, A., Cernat, A., Garbarski, D., Jamal, A., Kaminska, O., Keusch, F., Lynn, P., Oberski, D., Schaeffer, N.C., Uhrig, S.C.N., & Yan, T. (2016). Understanding Society Innovation Panel Wave 8: Results from Methodological Experiments. Understanding Society Working Paper Series 2016-02.
2. Blom, A.G., Burton, J., Booker, C.L., Cernat, A., Fairbrother, M., Jäckle, A., Kaminska, O., Keusch, F., Krosnick, J.A., Lynn, P., Oberski, D., Pudney, S., Sala, E., Schnettler, S., Silber, H., Stark, T.H., Uhrig, S.C.N., Yan, T. (2015). Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments. Understanding Society Working Paper Series 2015-03.
1. DeCicco, J., Yan, T., Keusch, F., Muñoz, D.H., & Neidert, L. (2014). University of Michigan Energy Survey: Year One Report. University of Michigan.
