SOWI an der Universität Mannheim: Selected Publications

Selected Publications

Articles
Research Papers
Conference Items
Books
Book Sections
Dissertations

Amaya, A., Bach, R. L., Keusch, F. and 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. 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.
Bach, R. L., Eckman, S. and Daikeler, J. (2019). Misreporting among reluctant respondents. Journal of Survey Statistics and Methodology : JSSAM, 1-23.
Bach, R. L., Kern, C., Amaya, A., Keusch, F., Kreuter, F., Hecht, J. and Heinemann, J. (2019). Predicting voting behavior using digital trace data. Social Science Computer Review : SSCORE, tba.
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., Leonard, M. M., Sajons, C. and 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. 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., 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, 1-17.
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.
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 Yang, T. (2018). Is satisficing responsible for response order effects in rating scale questions?Survey Research Methods : SRM, 12, 259-270.
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.
Horwitz, R., Kreuter, F. and Conrad, F. G. (2017). Using mouse movements to predict web survey response difficulty. Social Science Computer Review : SSCORE, 35, 388-405.
Keusch, F. and Yan, T. (2017). Web versus mobile web : an experimental study of device effects and self-selection effects. Social Science Computer Review : SSCORE, 35, 751-769.
Keusch, F. and Zhang, C. (2017). A review of issues in gamified surveys. Social Science Computer Review : SSCORE, 35, 147-166.
Kreuter, F. and 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. and 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. and 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. and 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. and Wolbring, T. (2017). Learning analytics and survey data integration in workload research. Zeitschrift für Hochschulentwicklung : ZFHE, 12, 65-78.
Kreuter, F., Sakshaug, J. W. and Tourangeau, R. (2016). The framing of the record linkage consent question. International Journal of Public Opinion Research, 28, 142-152.
Könneker, C. and 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. and 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.
Clarke, P. J., Yan, T., Keusch, F. and Gallagher, N. A. (2015). The impact of weather on mobility and participation in older US adults. American Journal of Public Health : AJPH, 105, 1489-1494.
DeCicco, J., Yan, T., Keusch, F., Muñoz, D. H. and Neidert, L. (2015). U.S. consumer attitudes and expectations about energy. Energy Policy, 86, 749-758.
Japec, L., Kreuter, F., Berg, M., Biemer, P. P., Decker, P., Lampe, C., Lane, J., O'Neil, C. and Usher, A. (2015). Big Data in survey research: AAPOR Task Force report. Public Opinion Quarterly : POQ, 79, 839-880.
Kern, C. (2015). Modeling mobility dispositions from a multilevel perspective. Schmollers Jahrbuch, 135, 23-34.
Kern, C. and Stein, P. (2015). Comparing coefficients of nonlinear multivariate regression models between equations. Survey Research Methods : SRM, 9, 159-167.
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.
Kreuter, F. (2015). Paradata - big data of survey research. The Survey Statistician, 71, 27-33.
Kreuter, F. and Müller, G. (2015). A note on improving process efficiency in panel surveys with paradata. Field Methods, 27, 55-65.
Sakshaug, J. W., Wolter, S. and Kreuter, F. (2015). Obtaining record linkage consent: results from a wording experiment in Germany. Survey Methods : Insights from the Field, 2015, 1-12.
Vaillant, R., Dever, J. A. and Kreuter, F. (2015). PracTools: computations for design of finite population samples. The R journal, 7, 163-176.
Valliant, R., Dever, J. A. and Kreuter, F. (2015). Effects of cluster sizes on variance components in two-stage sampling. Journal of Official Statistics : JOS, 31, 763-782.
West, B. T. and Kreuter, F. (2015). A practical technique for improving the accuracy of interviewer observations: Evidence from the national survey of family growth. Field Methods, 27, 144-162.
Yan, T. and Keusch, F. (2015). The effects of the direction of rating scales on survey responses in a telephone survey. Public Opinion Quarterly : POQ, 79, 145-165.

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.
Eckman, S. and Kreuter, F. (2015). Misreporting to looping questions in surveys : recall, motivation and burden. IAB Discussion Paper, 29. Nürnberg: Institute for Employment Research.

Schacht, S., Keusch, F., Bergmann, N. and Morana, S. (2017). Web survey gamification - Increasing data quality in web surveys by using game design elements. In , 25th European Conference on Information Systems, ECIS 2017 : information systems for a smart, substainable and inclusive world, June 5-10, 2017, Guimarães, Portugal, proceedings (S. 2907-2917). , AISeL: Atlanta, GA.
West, B. T. and 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. and 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.
Stein, P. and Kern, C. (2015). Dyadische Modellierung regionaler Arbeitsmarktmobilität. In Lessenich, S., Routinen der Krise - Krise der Routinen : Verhandlungen des 37. Kongresses der Deutschen Gesellschaft für Soziologie in Trier 2014 (S. 520-531). , DFG: Trier.

Valliant, R., Dever, J. A. and Kreuter, F. (2018). Practical tools for designing and weighting survey samples. Cham: Springer International Publishing.
Foster, I., Ghani, R., Jarmin, R. S., Kreuter, F. and 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. and 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. and 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. and 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. and Kreuter, F. (2016). Datenanalyse mit Stata : allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung. Berlin: De Gruyter Oldenbourg.

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 Beatty, P. Advances in questionnaire design, development, evaluation, and testing (S. 403-425). Hoboken, NJ: Wiley.
Keusch, F. and Kreuter, F. (2020). Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung. In Keller, B. Marktforschung für die Smart Data World : Chancen, Herausforderungen und Grenzen (S. 3-25). Wiesbaden: Springer Gabler.
Keusch, F. and Yan, T. (2020). Impact of response scale features on survey responses to behavioral questions. In Lavrakas, P. Experimental methods in survey research : techniques that combine random sampling with random assignment (S. 131-149). New Jersey, NJ: Wiley.
Lee, S., Keusch, F., Schwarz, N., Liu, M. and Suzer-Gurtekin, T. (2019). Cross‐cultural comparability of response patterns of subjective probability questions. In Johnson, T. 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 Johnson, T. Advances in comparative survey methods : multinational, multiregional, and multicultural contexts (3MC) (S. 477-499). Hoboken, NJ: Wiley.
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 Ben-Zvi, D. International handbook of research in statistics education (S. 415-432). Cham: Springer.
Kreuter, F. (2018). Getting the most out of paradata. In Vannette, D. The Palgrave handbook of survey research (S. 193-198). Cham: Palgrave Macmillan.
Kreuter, F. (2018). Paradata. In Vannette, D. The Palgrave handbook of survey research (S. 529-535). Cham: Palgrave Macmillan.
Kreuter, F., Keusch, F., Samoilova, E. and Frößinger, K. (2018). International program in survey and data science. In König, C. Big Data : Chancen, Risiken, Entwicklungstendenzen (S. 27-41). Wiesbaden: Springer VS.
Samoilova, E., Keusch, F. and Kreuter, F. (2018). Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In Jiao, H. Data analytics and psychometrics : informing assessment practices (S. 247-261). Charlotte, NC: Information Age Publishing.
Stein, P. and Kern, C. (2018). Konzeption eines dyadischen Modells zur Analyse von Entscheidungsprozessen räumlicher Arbeitsmarktmobilität im Mehrebenenkontext. In Quack, S. Transnationalisierung der Arbeit (S. 71-95). Wiesbaden: Springer VS.
Bender, S., Jarmin, R., Kreuter, F. and Lane, J. (2017). Privacy and confidentiality. In Foster, I. 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. and Kreuter, F. (2017). Undercoverage-nonresponse trade-off. In Biemer, P. 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 Groves, R. Federal statistics, multiple data sources, and privacy protection : next steps (S. 149-151). Washington, DC: The National Academies Press.
Kreuter, F. (2015). The use of paradata. In Engel, U. Improving survey methods : lessons from recent research (S. 303-317). New York, NY [u.a.]: Routledge.
Tourangeau, R., Kreuter, F. and Eckman, S. (2015). Motivated misreporting: shaping answers to reduce survey burden. In Engel, U. Survey measurements : techniques, data quality and sources of error (S. 24-41). Frankfurt a. M. [u.a.]: Campus Verlag.

Bach, R. (2018). Unintended behavioral consequences due to repeated measurement. Dissertation, . Mannheim.