Selected Publications

Articles
Research Papers
Conference Items
Books
Book Sections
Dissertation
Encyclopedia Articles
Reports
Conference Presentations

Achimescu, V. und Chachev, P. D. (2021). Raising the flag: Monitoring user perceived disinformation on reddit. Information, 12, 4.
Gerdon, F., Nissenbaum, H., Bach, R. L., Kreuter, F. und Zins, S. (2021). Individual acceptance of using health data for private and public benefit: Changes during the COVID-19 pandemic. Harvard Data Science Review : HDSR, 3, 1-27.
Altmann, S., Milsom, L., Zillessen, H., Blasone, R., Gerdon, F., Bach, R. L., Kreuter, F., Nosenzo, D., Toussaert, S. und Abeler, J. (2020). Acceptability of app-based contact tracing for COVID-19: Cross-country survey study. JMIR mHealth and uHealth : JMU, 8, e19857.
Bach, R. L., Eckman, S. und Daikeler, J. (2020). Misreporting among reluctant respondents. Journal of Survey Statistics and Methodology : JSSAM, 8, 566-588.
Bach, R. L. und Wenz, A. (2020). Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE, 15, e0234663.
Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. und Trappmann, M. (2020). Missing data and other measurement quality issues in mobile geolocation sensor data. Social Science Computer Review : SSCORE, 1-24.
Cernat, A. und Keusch, F. (2020). Do surveys change behaviour? Insights from digital trace data. International Journal of Social Research Methodology : IJSRM.
Daikeler, J., Bach, R. L., Silber, H. und Eckman, S. (2020). Motivated misreporting in smartphone surveys. Social Science Computer Review : SSCORE.
Erlinghagen, M., Kern, C. und Stein, P. (2020). Migration, social stratification and dynamic effects on subjective well being. Advances in Life Course Research, 1-17.
Gilan, D., Röthke, N., Blessin, M., Kunzler, A., Stoffers-Winterling, J., Müssig, M., Yuen, K. S. L., Tüscher, O., Thrul, J., Kreuter, F., Sprengholz, P., Betsch, C., Stiglitz, R. D. und Lieb, K. (2020). Psychomorbidity, resilience, and exacerbating and protective factors during the SARS-CoV-2-pandemic'a systematic literature review and results from the German COSMO-Panel. Deutsches Ärzteblatt International, 117, 625-632.
Haas, G.-C., Trappmann, M., Keusch, F., Bähr, S. und Kreuter, F. (2020). Using geofences to collect survey data: Lessons learned from the IAB-SMART study. Survey Methods : Insights from the Field, 2020, 1-12.
Holingue, C., Badillo-Goicoechea, E., Riehm, K. E., Veldhuis, C. B., Thrul, J., Johnson, R. M., Fallin, M. D., Kreuter, F., Stuart, E. A. und Kalb, L. G. (2020). Mental distress during the COVID-19 pandemic among US adults without a pre-existing mental health condition: Findings from American trend panel survey. Preventive Medicine : PM, 139, 1-8.
Holingue, C., Kalb, L. G., Riehm, K. E., Bennett, D., Kapteyn, A., Veldhuis, C. B., Johnson, R. M., Fallin, M. D., Kreuter, F., Stuart, E. A. und Thrul, J. (2020). Mental distress in the United States at the beginning of the COVID-19 pandemic. American Journal of Public Health : AJPH, 110, 1628-1634.
Kern, C., Höhne, J. K., Schlosser, S. und Revilla, M. (2020). Completion conditions and response behavior in smartphone surveys: A prediction approach using acceleration data. Social Science Computer Review : SSCORE, 1-19.
Kern, C., Höhne, J. K., Schlosser, S. und Revilla, M. (2020). Completion conditions and response behavior in smartphone surveys: A prediction approach using acceleration data. Social Science Computer Review : SSCORE, 1-19.
Kern, C., Li, Y. und Wang, L. (2020). Boosted kernel weighting – using statistical learning to improve inference from nonprobability samples. Journal of Survey Statistics and Methodology : JSSAM, 1-26.
Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. und Trappmann, M. (2020). Coverage error in data collection Ccombining mobile surveys with passive measurement using apps: Data from a German national survey. Sociological Methods & Research : SMR.
Kreuter, F., Barkay, N., Bilinski, A., Bradford, A., Chiu, S., Eliat, R., Fan, J., Galili, T., Haimovich, D., Kim, B., LaRocca, S., Li, Y., Morris, K., Presser, S., Salomon, J. A., Sarig, T., Stewart, K., Stuart, E. A. und Tibshirani, R. (2020). Partnering with Facebook on a university-based rapid turn-around global survey. Survey Research Methods : SRM, 14, 159-163.
Oberski, D. L. und Kreuter, F. (2020). Differential privacy and social science: An urgent puzzle. Harvard Data Science Review : HDSR, 2, 1-21.
Riehm, K. E., Holingue, C., Kalb, L. G., Bennett, D., Kapteyn, A., Jiang, Q., Veldhuis, C. B., Johnson, R. M., Fallin, M. D., Kreuter, F., Stuart, E. A. und Thrul, J. (2020). Associations between media exposure and mental distress among U.S. adults at the beginning of the COVID-19 pandemic. American Journal of Preventive Medicine : AJPM, 59, 630-638.
Sakshaug, J. W., Beste, J., Coban, M., Fendel, T., Haas, G.-C., Hülle, S., Kosyakova, Y., König, C., Kreuter, F., Küfner, B., Müller, B., Osiander, C., Schwanhäuser, S., Stephan, G., Vallizadeh, E., Volkert, M., Wenzig, C., Westermeier, C., Zabel, C. und Zins, S. (2020). Impacts of the COVID-19 pandemic on labor market surveys at the German Institute for Employment Research. Survey Research Methods : SRM, 14, 229-233.
Struminskaya, B. und Keusch, F. (2020). Editorial: From web surveys to mobile web to apps, sensors, and digital traces. Survey Methods : Insights from the Field, 2020, 1-7.
Struminskaya, B., Lugtig, P., Keusch, F. und Höhne, J. K. (2020). Augmenting surveys with data from sensors and apps: Opportunities and challenges. Social Science Computer Review : SSCORE.
Amaya, A., Bach, R. L., Keusch, F. und Kreuter, F. (2019). New data sources in social science research: Things to know before working with Reddit data. Social Science Computer Review : SSCORE, 1-10.
Bach, R. L. und Eckman, S. (2019). Participating in a panel survey changes respondents' labour market behaviour. Journal of the Royal Statistical Society. Series A, Statistics in Society, 182, 263-281.
Bach, R. L. und Eckman, S. (2019). Rotation group bias in reporting of household purchases in the U.S. Consumer Expenditure Survey. Economics Letters, 187, Article 108889.
Bach, R. L., Kern, C., Amaya, A., Keusch, F., Kreuter, F., Hecht, J. und Heinemann, J. (2019). Predicting voting behavior using digital trace data. Social Science Computer Review : SSCORE.
Bauer, P. C., Keusch, F. und Kreuter, F. (2019). Trust and cooperative behavior: Evidence from the realm of data-sharing. PLOS ONE, 14, e0220115.
Felderer, B., Kirchner, A. und Kreuter, F. (2019). The effect of survey mode on data quality: Disentangling nonresponse and response bias. Journal of Official Statistics : JOS, 35, 93-115.
Fischer, M., West, B. T., Elliott, M. R. und Kreuter, F. (2019). The impact of interviewer effects on regression coefficients. Journal of Survey Statistics and Methodology : JSSAM, 7, 250-274.
Kern, C., Klausch, T. und Kreuter, F. (2019). Tree-based machine learning methods for survey research. Survey Research Methods : SRM, 13, 73-93.
Keusch, F., Leonard, M. M., Sajons, C. und Steiner, S. (2019). Using smartphone technology for research on refugees: Evidence from Germany. Sociological Methods & Research : SMR, 1-32.
Keusch, F., Struminskaya, B., Antoun, C., Couper, M. P. und Kreuter, F. (2019). Willingness to participate in passive mobile data collection. Public Opinion Quarterly : POQ, 83, 210-235.
Kohler, U., Kreuter, F. und Stuart, E. A. (2019). Nonprobability sampling and causal analysis. Annual Review of Statistics and Its Application, 6, 149-172.
Kreuter, F., Ghani, R. und Lane, J. (2019). Change through data: A data analytics training program for government employees. Harvard Data Science Review : HDSR, 1, 1-26.
Kreuter, F., Haas, G.-C., Keusch, F., Bähr, S. und Trappmann, M. (2019). Collecting survey and smartphone sensor data with an App: Opportunities and challenges around privacy and informed consent. Social Science Computer Review : SSCORE, 38, 533-549.
McCLain, C. A., Couper, M. P., Hupp, A. L., Keusch, F., Peterson, G., Piskorowski, A. D. und West, B. T. (2019). A typology of web survey paradata for assessing total survey error. Social Science Computer Review : SSCORE, 37, 196-213.
Sakshaug, J. W., Schmucker, A., Kreuter, F., Couper, M. P. und Singer, E. (2019). The effect of framing and placement on linkage consent. Public Opinion Quarterly : POQ, 83, 289-308.
Sakshaug, J. W., Stegmaier, J., Trappmann, M. und Kreuter, F. (2019). Does benefit framing improve record linkage consent rates? A survey experiment. Survey Research Methods : SRM, 13, 289-304.
Wagner, A. L., Keusch, F., Yan, T. und Clarke, P. J. (2019). The impact of weather on summer and winter exercise behaviors. Journal of Sport and Health Science, 8, 39-45.
Bach, R. L. und Eckman, S. (2018). Motivated misreporting in web panels. Journal of Survey Statistics and Methodology : JSSAM, 6, 418-430.
Bähr, S., Haas, G.-C., Keusch, F., Kreuter, F. und Trappmann, M. (2018). IAB-SMART-Studie: Mit dem Smartphone den Arbeitsmarkt erforschen. IAB-Forum : Das neue Onlinemagazin des Instituts für Arbeitsmarkt- und Berufsforschung, 2018, 09.01.2018.
Felderer, B., Müller, G., Kreuter, F. und Winter, J. (2018). The effect of differential incentives on attrition bias: Evidence from the PASS Wave 3 incentive experiment. Field Methods, 30, 56-69.
Kern, C. und Stein, P. (2018). Modelling decision-making processes of regional mobility in a dyadic framework. European Sociological Review, 34, 433-451.
Keusch, F. und Yan, T. (2018). Is satisficing responsible for response order effects in rating scale questions?Survey Research Methods : SRM, 12, 259-270.
Kreuter, F. (2018). Master in Data Science. Bildungsbrief : Informationen für die Personalarbeit, 2018, 11-12.
Marlar, J., Chattopadhyay, M., Jones, J., Marken, S. und Kreuter, F. (2018). Within-household selection and dual-frame telephone surveys: a comparative experiment of eleven different selection methods. Survey Practice, 11, Article 31.
Mittereder, F., Durow, J., West, B. T., Kreuter, F. und Conrad, F. G. (2018). Interviewer-respondent interactions in conversational and standardized interviewing. Field Methods, 30, 3-21.
Schierholz, M., Gensicke, M., Tschersich, N. und Kreuter, F. (2018). Occupation coding during the interview. Journal of the Royal Statistical Society. Series A, Statistics in Society, 181, 379-407.
West, B. T., Conrad, F. G., Kreuter, F. und Mittereder, F. (2018). Can conversational interviewing improve survey response quality without increasing interviewer effects?Journal of the Royal Statistical Society. Series A, Statistics in Society, 181, 181-203.
West, B. T., Conrad, F. G., Kreuter, F. und Mittereder, F. (2018). Nonresponse and measurement error variance among interviewers in standardized and conversational interviewing. Journal of Survey Statistics and Methodology : JSSAM, 6, 335-359.
West, B. T. und Kreuter, F. (2018). Strategies for increasing the accuracy of interviewer observations of respondent features: evidence from the U.S. National Survey of Family Growth. Methodology : European Journal of Research Methods for the Behavioral and Social Sciences, 14, 16-29.
Yan, T., Keusch, F. und He, L. (2018). The impact of question and scale characteristics on scale direction effect. Survey Practice, 11, Article 8.
Horwitz, R., Kreuter, F. und Conrad, F. G. (2017). Using mouse movements to predict web survey response difficulty. Social Science Computer Review : SSCORE, 35, 388-405.
Keusch, F. und Yan, T. (2017). Web versus mobile web : an experimental study of device effects and self-selection effects. Social Science Computer Review : SSCORE, 35, 751-769.
Keusch, F. und Zhang, C. (2017). A review of issues in gamified surveys. Social Science Computer Review : SSCORE, 35, 147-166.
Kreuter, F. und Schludi, M. (2017). Big Data – der Beginn eines goldenen Zeitalters für die Arbeitsmarktforschung? Ein Gespräch mit IAB-Forscherin Frauke Kreuter. IAB-Forum : Das neue Onlinemagazin des Instituts für Arbeitsmarkt- und Berufsforschung, 2017, 17.11.2017.
Liu, M. und Keusch, F. (2017). Effects of scale direction on response style of ordinal rating scales. Journal of Official Statistics : JOS, 33, 137-154.
Mercer, A. W., Kreuter, F., Keeter, S. und Stuart, E. A. (2017). Theory and practice in non-probability surveys : parallels between causal inference and survey inference. Public Opinion Quarterly : POQ, 81, 250-271.
Oberski, D. L., Kirchner, A., Eckman, S. und Kreuter, F. (2017). Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models. Journal of the American Statistical Association : JASA, 112, 1477-1489.
Samoilova, E., Keusch, F. und Wolbring, T. (2017). Learning analytics and survey data integration in workload research. Zeitschrift für Hochschulentwicklung : ZFHE, 12, 65-78.
Kreuter, F., Sakshaug, J. W. und Tourangeau, R. (2016). The framing of the record linkage consent question. International Journal of Public Opinion Research, 28, 142-152.
Könneker, C. und Kreuter, F. (2016). Die Krise der Demoskopie. Spektrum.de – die Woche : die Wissenschaftszeitung im Internet, 2016, 10.11.2016.
Sakshaug, J. W., Schmucker, A., Kreuter, F., Couper, M. P. und Singer, E. (2016). Evaluating active (opt-in) and passive (opt-out) consent bias in the transfer of federal contact data to a third-party survey agency. Journal of Survey Statistics and Methodology : JSSAM, 4, 382-416.

Silber, H., Keusch, F., Breuer, J., Siegers, P., Beuthner, C., Stier, S., Gummer, T. und Weiss, B. (2021). Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behavior. SocArXiv Papers. Ithaca, NY: Cornell University.
Badillo-Goicoechea, E., Chang, T.-H., Kim, E., LaRocca, S., Morris, K., Deng, X., Chiu, S., Bradford, A., Garcia, A., Kern, C., Cobb, C., Kreuter, F. und Stuart, E. A. (2020). Global trends and predictors of face mask usage during the COVID-19 pandemic. Ithaca, NY: Cornell University.
Erlinghagen, M., Kern, C. und Stein, P. (2019). Internal migration, social stratiﬁcation and dynamic effects on subjective well being. SOEP papers on Multidisciplinary Panel Data Research, 1046. Berlin: DIW.
Kern, C., Weiss, B. und Kolb, J.-P. (2019). A longitudinal framework for predicting nonresponse in panel surveys. Ithaca, NY: Cornell University.

Kolb, J.-P., Weiss, B. und Kern, C. (2020). Using predictive modelling to identify panel nonresponse. In , Proceeding ISI World Statistics Congress 2019 : Contributed paper session : 18 – 23 August 2019, Kuala Lumpur (S. 206-214). , Department of Statistics Malaysia (DOSM): Putrajaya.
Kreuter, F. (2018). Data sciences as essential job skill! A social science, economics, and public policy training perspective. In , Paderborn Symposium on Data Science Education at School Level 2017: The collected extended abstracts (S. 21-26). , Universitätsbibliothek Paderborn: Paderborn.
Schacht, S., Keusch, F., Bergmann, N. und Morana, S. (2017). Web survey gamification – Increasing data quality in web surveys by using game design elements. In , 25th European Conference on Information Systems, ECIS 2017 : information systems for a smart, substainable and inclusive world, June 5-10, 2017, Guimarães, Portugal, proceedings (S. 2907-2917). , AISeL: Atlanta, GA.
West, B. T. und Kreuter, F. (2017). On the utility of paradata in major national surveys : challenges and benefits. In , (S. 1-32). Statistics Canada International Symposium Series: Proceedings, Statistics Canada: Ottawa, Ont..
Kern, C. und Stein, P. (2016). Effect comparison in multilevel structural equation models with non-metric outcomes. In , JSM Proceedings : papers presented at the Joint Statistical Meetings ... and other ASA-sponsored conferences (S. 3892-3901). , American Statistical Association: Alexandria, VA.

Foster, I., Ghani, R., Jarmin, R. S., Kreuter, F. und Lane, J. (eds.) (2021). Big data and social science : data science methods and tools for research and practice. Boca Raton ; London ; New York, NY: CRC Press.
Olson, K., Smyth, J. D., Dykema, J., Holbrook, A. L., Kreuter, F. und West, B. T. (eds.) (2020). Interviewer effects from a total survey error perspective. Boca Raton: CRC Press.
Horn, C. und Kreuter, F. (2020). Die digitale Herausforderung : Tipping Points, die Ihr Unternehmen verändern werden. Freiburg ; München ; Stuttgart: Haufe Group.
Valliant, R., Dever, J. A. und Kreuter, F. (2018). Practical tools for designing and weighting survey samples. Cham: Springer International Publishing.
Foster, I., Ghani, R., Jarmin, R. S., Kreuter, F. und Lane, J. (eds.) (2017). Big data and social science : a practical guide to methods and tools. Boca Raton, FL ; London ; New York: CRC Press, a Chapman & Hall Book.
Harris-Kojetin, B. A. und Groves, R. M. (eds.) (2017). Federal statistics, multiple data sources, and privacy protection, next steps : a consensus study report. Washington, DC: The National Academies Press, National Academies of Sciences, Engineering, and Medicine.
Groves, R. M. und Harris-Kojetin, B. A. (eds.) (2017). Innovations in federal statistics : combining data sources while protecting privacy. Washington, DC: The National Academies Press, National Academies of Sciences, Engineering, and Medicine.
Biemer, P. P., de Leeuw, E., Eckman, S., Edwards, B., Kreuter, F., Lyberg, L., Tucker, N. C. und West, B. T. (eds.) (2017). Total survey error in practice. Hoboken, NJ: Wiley.
Kern, C. (2017). Dyadische Analyse regionaler Arbeitsmarktmobilität : Modellierung von Entscheidungsprozessen im Mehrebenenkontext. Wiesbaden: Springer VS.
Kohler, U. und Kreuter, F. (2016). Datenanalyse mit Stata : allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung. Berlin: De Gruyter Oldenbourg.

Amaya, A., Bach, R. L., Kreuter, F. und Keusch, F. (2020). Measuring the strength of attitudes in social media data. In Big data meets survey science : a collection of innovative methods (S. 163-192). Hoboken, NJ: John Wiley & Sons.
Brian, K., Kern, C., Scott, M. J., Hunter, C. und Kumar, A. (2020). Workbooks. In Big data and social science : data science methods and tools for research and practice (S. 333-340). Milton ; Boca Raton, FL: CRC Press.
Haas, G.-C., Kreuter, F., Keusch, F., Trappmann, M. und Bähr, S. (2020). Effects of incentives in smartphone data collection. In Big data meets survey science : a collection of innovative methods (S. 387-414). Hoboken, NJ: John Wiley & Sons.
Horwitz, R., Brockhaus, S., Henninger, F., Kieslich, P. J., Schierholz, M., Keusch, F. und Kreuter, F. (2020). Learning from mouse movements: Improving questionnaires and respondents' user experience through passive data collection. In Advances in questionnaire design, development, evaluation, and testing (S. 403-425). Hoboken, NJ: Wiley.
Kern, C. (2020). Machine learning interpretation tools. In SAGE research methods: Foundations (S. 1-12). London: SAGE Publications.
Keusch, F. und Kreuter, F. (2020). Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung. In Marktforschung für die Smart Data World : Chancen, Herausforderungen und Grenzen (S. 3-25). Wiesbaden: Springer Gabler.
Keusch, F., Struminskaya, B., Kreuter, F. und Weichbold, M. (2020). Combining active and passive mobile data collection : A survey of concerns. In Big data meets survey science : a collection of innovative methods (S. 657-682). Hoboken, NJ: John Wiley & Sons.
Keusch, F. und Yan, T. (2020). Impact of response scale features on survey responses to behavioral questions. In Experimental methods in survey research : techniques that combine random sampling with random assignment (S. 131-149). New Jersey, NJ: Wiley.
Kreuter, F., Eckman, S. und Tourangeau, R. (2020). The salience of survey burden and its effects on response behavior to skip questions: Experimental results from telephone and web-surveys. In Advances in questionnaire design, development, evaluation, and testing (S. 213-227). Hoboken, NJ: Wiley.
Olson, K., Smyth, J. D., Dykema, J., Holbrook, A. L., Kreuter, F. und West, B. T. (2020). The past, present, and future of research on interviewer effects. In Interviewer effects from a total survey error perspective (S. 3-16). Boca Raton, FL: Chapman and Hall/CRC Press.
Samoilova, E., Wolbring, T. und Keusch, F. (2020). Datenqualität umfragebasierter Workload-Messungen: Eine Mixed-Methods-Studie auf Grundlage von Learning Analytics und kognitiven Interviews. In Studentischer Workload (S. 205-229). Wiesbaden: Springer Fachmedien Wiesbaden.
Schwanhäuser, S., Sakshaug, J. W., Kosyakova, Y. und Kreuter, F. (2020). Statistical identification of fraudulent interviews in surveys: Improving interviewer controls. In Interviewer effects from a total survey error perspective (S. 91-106). Boca Raton: Chapman and Hall/CRC.
West, B. T., Yan, T., Kreuter, F., Josten, M. und Schroeder, H. (2020). Examining the utility of interviewer observations on the survey response process. In Interviewer effects from a total survey error perspective (S. 107-120). Boca Raton: Chapman and Hall/CRC.
Felderer, B., Birg, A. und Kreuter, F. (2019). Paradaten. In Handbuch Methoden der empirischen Sozialforschung (S. 413-422). Wiesbaden: Springer VS.
Lee, S., Keusch, F., Schwarz, N., Liu, M. und Suzer-Gurtekin, T. (2019). Cross‐cultural comparability of response patterns of subjective probability questions. In Advances in comparative survey methods : multinational, multiregional, and multicultural contexts (3MC) (S. 455-475). Hoboken, NJ: Wiley.
Liu, M., Suzer-Gurtekin, T., Keusch, F. und Lee, S. (2019). Response styles in cross-cultural surveys. In Advances in comparative survey methods : multinational, multiregional, and multicultural contexts (3MC) (S. 477-499). Hoboken, NJ: Wiley.
Rosebrock, A., Schlosser, S., Höhne, J. K. und Kühnel, S. M. (2019). Einflüsse unterschiedlicher Formen der Verbalisierung von Antwortskalen auf das Antwortverhalten von Befragungspersonen. In Qualitätssicherung sozialwissenschaftlicher Erhebungsinstrumente (S. 63-102). Wiesbaden: Springer VS.
Gould, R., Peng, R. D., Kreuter, F., Pruim, R., Witmer, J. und Cobb, G. W. (2018). Challenge to the established curriculum: a collection of reflections. In International handbook of research in statistics education (S. 415-432). Cham: Springer.
Kreuter, F. (2018). Getting the most out of paradata. In The Palgrave handbook of survey research (S. 193-198). Cham: Palgrave Macmillan.
Kreuter, F. (2018). Paradata. In The Palgrave handbook of survey research (S. 529-535). Cham: Palgrave Macmillan.
Kreuter, F., Frößinger, K., Samoilova, E. und Keusch, F. (2018). „Survey and Data Science“ – Ein neuer, berufsbegleitender Studiengang (Fallbeispiel eines „flipped classroom“ Online-Programms). In Handbuch der Aus- und Weiterbildung : Politik, Praxis, finanzielle Förderung (S. 43-68). Köln: Fachverlag Deutscher Wirtschaftsdienst.
Kreuter, F., Keusch, F., Samoilova, E. und Frößinger, K. (2018). International program in survey and data science. In Big Data : Chancen, Risiken, Entwicklungstendenzen (S. 27-41). Wiesbaden: Springer VS.
Samoilova, E., Keusch, F. und Kreuter, F. (2018). Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In Data analytics and psychometrics : informing assessment practices (S. 247-261). Charlotte, NC: Information Age Publishing.
Stein, P. und Kern, C. (2018). Konzeption eines dyadischen Modells zur Analyse von Entscheidungsprozessen räumlicher Arbeitsmarktmobilität im Mehrebenenkontext. In Transnationalisierung der Arbeit (S. 71-95). Wiesbaden: Springer VS.
Bender, S., Jarmin, R., Kreuter, F. und Lane, J. (2017). Privacy and confidentiality. In Big data and social science : a practical guide to methods and tools (S. 299-311). Boca Raton ; London ; New York, NY: CRC Press, a Chapman & Hall Book.
Eckman, S. und Kreuter, F. (2017). Undercoverage-nonresponse trade-off. In Total survey error in practice (S. 97-113). Hoboken, NJ: Wiley.
Kreuter, F. (2017). Appendix A: Executive summary from innovations in federal statistics : combining data sources while protecting privacy. In Federal statistics, multiple data sources, and privacy protection : next steps (S. 149-151). Washington, DC: The National Academies Press.

Leonard, M. (2020). Honor violence, Crimes d'honneur, Ehrenmorde: Improving the identification, risk assessment, and estimation of honor crimes internationally. Dissertation, . Mannheim.
Bach, R. (2018). Unintended behavioral consequences due to repeated measurement. Dissertation, . Mannheim.

Keusch, F. (2020). Gamification in web surveys. In , SAGE research methods foundations (S. 1-8). London: Sage.

Hänsch, A. (2020). IPSDS in times of Corona.

Gerdon, F. (2020). Data sharing for the public good? A factorial survey experiment on contextual privacy norms. 22. General Online Research Konferenz GOR 2020, Online.
Gerdon, F., Theil, C. K., Kern, C., Bach, R. L., Kreuter, F., Stuckenschmidt, H. und Eckert, K. (2020). Exploring impacts of artificial intelligence on urban societies with social simulations. 40. Kongress der Deutschen Gesellschaft für Soziologie, Online.
Gerdon, F. (2019). Daten-Teilen für das öffentliche Wohl? Ein Vignetten-Experiment zu kontextabhängigen Privacy-Normen. Unipark Communitytreffen, Mannheim, Germany.
Keusch, F., Buskirk, T. D. und Gerdon, F. (2018). Getting persnickety about pair-wise Wikis: Investigating the relationship between initial settings for pair-wise Wiki Surveys and respondent engagement using a randomized experiment. AAPOR 73rd Annual Conference, Denver, CO.