Selected Publications
- Articles
- Research Papers
- Conference Items
- Books
- Book Sections
- Dissertation
- Encyclopedia Articles
- Reports
- Conference Presentations
- Fernández-Fontelo, A., Kieslich, P. J., Henninger, F., Kreuter, F. and Greven, S. (2023). Predicting question difficulty in web surveys: A machine learning approach based on mouse movement features. Social Science Computer Review : SSCORE, 41, 141–162.
- Kern, C., Weiß, B. and Kolb, J.-P. (2023). Predicting nonresponse in future waves of a probability-based mixed-mode panel with machine learning. Journal of Survey Statistics and Methodology : JSSAM, 11, 100–123.
- 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.
- Daikeler, J., Bach, R. L., Silber, H. and Eckman, S. (2022). Motivated misreporting in smartphone surveys. Social Science Computer Review : SSCORE, 40, 95–107.
- Gerdon, F., Bach, R. L., Kern, C. and Kreuter, F. (2022). Social impacts of algorithmic decision-making: A research agenda for the social sciences. Big Data & Society, 9, 1–13.
- 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., 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., Wenz, A. and Conrad, F. G. (2022). Do you have your smartphone with you? Behavioral barriers for measuring everyday activities with smartphone sensors. Computers in Human Behavior, 127.
- Kim, M. P., Kern, C., Goldwasser, S., Kreuter, F. and Reingold, O. (2022). Universal adaptability: Target-independent inference that competes with propensity scoring. Proceedings of the National Academy of Sciences of the United States of America : PNAS, 119, 1–6.
- Kuppler, M., Kern, C., Bach, R. L. and Kreuter, F. (2022). From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making. Frontiers in Sociology, 7, 1–18.
- Nordeck, C. D., Riehm, K. E., Smail, E. J., Holingue, C., Kane, J. C., Johnson, R. M., Veldhuis, C. B., Kalb, L. G., Stuart, E. A., Kreuter, F. and Thrul, J. (2022). Changes in drinking days among United States adults during the COVID-19 pandemic. Addiction, 117, 331–340.
- 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, 1–21.
- Sun, H., Conrad, F. G. and Kreuter, F. (2022). The carryover effects of preceding interviewer–respondent interaction on responses in audio computer-assisted self-interviewing (ACASI). Journal of Survey Statistics and Methodology : JSSAM, 10, 299–316.
- Wenz, A. and Keusch, F. (2022). The second-level smartphone divide: A typology of smartphone use based on frequency of use, skills, and types of activities. Mobile Media & Communication, 1–25.
- Achimescu, V. and Chachev, P. D. (2021). Raising the flag: Monitoring user perceived disinformation on reddit. Information, 12, 4.
- Achimescu, V., Sultănescu, D. and Sultănescu, D. C. (2021). The path from distrusting Western actors to conspiracy beliefs and noncompliance with public health guidance during the COVID-19 crisis. Journal of Elections, Public Opinion and Parties, 31, 299–310.
- 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.
- Astley, C. M., Tuli, G., Mc Cord, K. A., Cohn, E. L., Rader, B., Varrelman, T. J., Chiu, S. L., Deng, X., Stewart, K., Farag, T. H., Barkume, K. M., LaRocca, S., Morris, K. A., Kreuter, F. and Brownstein, J. S. (2021). Global monitoring of the impact of the COVID-19 pandemic through online surveys sampled from the Facebook user base. Proceedings of the National Academy of Sciences of the United States of America : PNAS, 118, 1–10.
- 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.
- 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. and Stuart, E. A. (2021). Global trends and predictors of face mask usage during the COVID-19 pandemic. BMC Public Health, 21, 1–12.
- 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.
- Conrad, F. G., Keusch, F. and Schober, M. (2021). New data in social and behavioral research. Public Opinion Quarterly : POQ, 85, 253–263.
- Gerdon, F., Nissenbaum, H., Bach, R. L., Kreuter, F. and 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.
- Gilan, D., Müssig, M., Hahad, O., Kunzler, A., Samstag, S., Röthke, N., Thrul, J., Kreuter, F., Bosnjak, M., Sprengholz, P., Betsch, C., Wollschläger, D., Tüscher, O. and Lieb, K. (2021). Protective and risk factors for mental distress and its impact on health-protective behaviors during the SARS-CoV-2 pandemic between march 2020 and march 2021 in Germany. International Journal of Environmental Research and Public Health : IJERPH, 18, 1–12.
- 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.
- Kern, C., Höhne, J. K., Schlosser, S. and Revilla, M. (2021). Completion conditions and response behavior in smartphone surveys: A prediction approach using acceleration data. Social Science Computer Review : SSCORE, 39, 1253–1271.
- Kern, C., Li, Y. and Wang, L. (2021). Boosted kernel weighting – using statistical learning to improve inference from nonprobability samples. Journal of Survey Statistics and Methodology : JSSAM, 9, 1088–1113.
- 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.
- Kreuter, F. (2021). What surveys really say. Nature, 600, 614–615.
- Müller, P. and Bach, R. L. (2021). Populist alternative news use and its role for elections: Web-tracking and survey evidence from two campaign periods. New Media & Society, 1–21.
- Pfisterer, F., Kern, C., Dandl, S., Sun, M., Kim, M. P. and Bischl, B. (2021). mcboost: Multi-Calibration Boosting for R. The Journal of Open Source Software : JOSS, 6, Article 3453, 1–3.
- Riehm, K. E., Holingue, C., Smail, E. J., Kapteyn, A., Bennett, D., Thrul, J., Kreuter, F., McGinty, E., Kalb, L. G., Veldhuis, C. B., Johnson, R. M., Fallin, M. D. and Stuart, E. A. (2021). Trajectories of mental distress among U.S. adults during the COVID-19 pandemic. Annals of Behavioral Medicine, 55, 93–102.
- Sakshaug, J. W., Schmucker, A., Kreuter, F., Couper, M. P. and Holtmann, L. (2021). Respondent understanding of data linkage consent. Survey Methods : Insights from the Field, 2021, 1–15.
- Salomon, J. A., Reinhart, A., Bilinski, A., Chua, E. J., La Motte-Kerr, W., Rönn, M. M., Reitsma, M. B., Morris, K. A., LaRocca, S., Farag, T. H., Kreuter, F., Rosenfeld, R. and Tibshirani, R. J. (2021). The US COVID-19 Trends and Impact Survey: continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination. Proceedings of the National Academy of Sciences of the United States of America : PNAS, 118, 1–9.
- Sun, H., Conrad, F. G. and Kreuter, F. (2021). The relationship between interviewer-respondent rapport and data quality. Journal of Survey Statistics and Methodology : JSSAM, 9, 429–448.
- Altmann, S., Milsom, L., Zillessen, H., Blasone, R., Gerdon, F., Bach, R. L., Kreuter, F., Nosenzo, D., Toussaert, S. and 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. and Daikeler, J. (2020). Misreporting among reluctant respondents. Journal of Survey Statistics and Methodology : JSSAM, 8, 566–588.
- Bach, R. L. and Wenz, A. (2020). Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE, 15, e0234663.
- Erlinghagen, M., Kern, C. and 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. and 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. 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.
- 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.
- Holingue, C., Badillo-Goicoechea, E., Riehm, K. E., Veldhuis, C. B., Thrul, J., Johnson, R. M., Fallin, M. D., Kreuter, F., Stuart, E. A. and 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. and 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.
- Keusch, F., Bähr, S., Haas, G.-C., Kreuter, F. and 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 : SMR, 1–38.
- 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. and 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. and 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. and 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. and 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. 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.
- Bach, R. L. and 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. and Eckman, S. (2019). Rotation group bias in reporting of household purchases in the U.S. Consumer Expenditure Survey. Economics Letters, 187, Article 108889.
- Bauer, P. C., Keusch, F. and Kreuter, F. (2019). Trust and cooperative behavior: Evidence from the realm of data-sharing. PLOS ONE, 14, e0220115.
- Felderer, B., Kirchner, A. and 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. and 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. and Kreuter, F. (2019). Tree-based machine learning methods for survey research. Survey Research Methods : SRM, 13, 73–93.
- 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.
- Kohler, U., Kreuter, F. and Stuart, E. A. (2019). Nonprobability sampling and causal analysis. Annual Review of Statistics and Its Application, 6, 149–172.
- Kreuter, F., Ghani, R. and 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. 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.
- McCLain, C. A., Couper, M. P., Hupp, A. L., Keusch, F., Peterson, G., Piskorowski, A. D. and 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. and 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. and 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. and 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. and 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. 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.
- Felderer, B., Müller, G., Kreuter, F. and 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. and Stein, P. (2018). Modelling decision-making processes of regional mobility in a dyadic framework. European Sociological Review, 34, 433–451.
- Keusch, F. and 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. and 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. and Conrad, F. G. (2018). Interviewer-respondent interactions in conversational and standardized interviewing. Field Methods, 30, 3–21.
- Schierholz, M., Gensicke, M., Tschersich, N. and 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. and 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. and 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. and 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. and He, L. (2018). The impact of question and scale characteristics on scale direction effect. Survey Practice, 11, Article 8.
- Kern, C., Bach, R. L., Mautner, H. and Kreuter, F. (2021). Fairness in algorithmic profiling: A German case study. Ithaca, NY: Cornell University.
- Kuppler, M., Kern, C., Bach, R. L. and Kreuter, F. (2021). Distributive justice and fairness metrics in automated decision-making: How much overlap is there? Ithaca, NY: Cornell University.
- 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.
- Erlinghagen, M., Kern, C. and 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. and Kolb, J.-P. (2019). A longitudinal framework for predicting nonresponse in panel surveys. Ithaca, NY: Cornell University.
- Kolb, J.-P., Weiß, B. and 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.
- Keusch, F. (2022). How to distinguish between passive and active mobile data collection. London: Sage Publications.
- Foster, I., Ghani, R., Jarmin, R. S., Kreuter, F. and 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. and West, B. T. (eds.) (2020). Interviewer effects from a total survey error perspective. Boca Raton: CRC Press.
- Horn, C. and Kreuter, F. (2020). Die digitale Herausforderung : Tipping Points, die Ihr Unternehmen verändern werden. Freiburg ; München ; Stuttgart: Haufe Group.
- Valliant, R., Dever, J. A. and Kreuter, F. (2018). Practical tools for designing and weighting survey samples. Cham: Springer International Publishing.
- Keusch, F. and Kreuter, F. (2022). Digital trace data : Modes of data collection, applications, and errors at a glance. In Handbook of computational social science (S. 100–118). London: Routledge, Taylor & Francis Group.
- Bach, R. (2021). A methodological framework for the analysis of panel conditioning effects. In Measurement error in longitudinal data (S. 19–41). Oxford ; New York, NY: Oxford University Press.
- 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.
- 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.
- Brian, K., Kern, C., Scott, M. J., Hunter, C. and 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. 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.
- 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.
- Kern, C. (2020). Machine learning interpretation tools. In SAGE research methods: Foundations (S. 1–12). London: SAGE Publications.
- 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., 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.
- Kreuter, F., Eckman, S. and 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. and 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. 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.
- Schwanhäuser, S., Sakshaug, J. W., Kosyakova, Y. and 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. and 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. and Kreuter, F. (2019). Paradaten. In Handbuch Methoden der empirischen Sozialforschung (S. 413–422). Wiesbaden: Springer VS.
- Lee, S., Keusch, F., Schwarz, N., Liu, M. and 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. and 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. and 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. and 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.
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