SOWI an der Universität Mannheim: Selected Publications

Selected Publications

Artikel
Forschungspapiere
Konferenzbeiträge
Bücher
Buchkapitel
Dissertationen
Berichte

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., Eckman, S. und 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. und Heinemann, J. (2019). Predicting voting behavior using digital trace data. Social Science Computer Review : SSCORE, tba.
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., 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, 1-17.
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.
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 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. 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 work-load 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.
Clarke, P. J., Yan, T., Keusch, F. und 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. und 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. und 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. und 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. und Müller, G. (2015). A note on improving process efficiency in panel surveys with paradata. Field Methods, 27, 55-65.
Sakshaug, J. W., Wolter, S. und 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. und Kreuter, F. (2015). PracTools: computations for design of finite population samples. The R journal, 7, 163-176.
Valliant, R., Dever, J. A. und 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. und 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. und 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.
Earp, M., Mitchell, M., McCarthy, J. und Kreuter, F. (2014). Modeling Nonresponse in Establishment Surveys: Using an Ensemble Tree Model to Create Nonresponse Propensity Scores and Detect Potential Bias in an Agricultural Survey. Journal of Official Statistics : JOS, 30, 701-719.
Eckman, S., Kreuter, F., Kirchner, A., Jäckle, A., Tourangeau, R. und Presser, S. (2014). Assessing the mechanisms of misreporting to filter questions in surveys. Public Opinion Quarterly : POQ, 78, 721-733.
Keusch, F. (2014). The influence of answer box format on response behavior on list-style open-ended questions. Journal of Survey Statistics and Methodology : JSSAM, 2, 305-322.
Keusch, F., Rao, R., Chang, L., Lepkowski, J., Reddy, P. und Choi, S. W. (2014). Participation in clinical research: perspectives of adult patients and parents of pediatric patients undergoing hematopoietic stem cell transplantation. Biology of Blood and Marrow Transplantation : BBMT, 20, 1604-1611.
Kreuter, F., Mercer, A. W. und Hicks, W. (2014). Increasing fieldwork efficiency through prespecified appointments. Journal of Survey Statistics and Methodology : JSSAM, 2, 210-223.
Kreuter, F., Müller, G. und Trappmann, M. (2014). A note on mechanisms leading to lower data quality of late or reluctant respondents. Sociological Methods & Research : SMR, 43, 452-464.
Sakshaug, J. W. und Kreuter, F. (2014). The effect of benefit wording on consent to link survey and administrative records in a web survey. Public Opinion Quarterly : POQ, 78, 166-176.
Sinibaldi, J., Trappmann, M. und Kreuter, F. (2014). Which is the better investment for nonresponse adjustment: Purchasing commercial auxiliary data or collecting interviewer observations? Public Opinion Quarterly : POQ, 78, 440-473.
West, B. T., Kreuter, F. und Trappmann, M. (2014). Is the collection of interviewer observations worthwhile in an economic panel survey? New evidence from the German Labor Market and Social Security (PASS) Study. Journal of Survey Statistics and Methodology : JSSAM, 2, 159-181.

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.
Eckman, S. und Kreuter, F. (2015). Misreporting to looping questions in surveys : recall, motivation and burden. IAB Discussion Paper, 29. Nürnberg: Institute for Employment Research.
Kern, C. (2014). Regional Structures and Mobility Dispositions: A Multilevel Proportional- & Partial-Proportional Odds Approach. SOEP papers on Multidisciplinary Panel Data Research, 681. Berlin: DIW.

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.
Stein, P. und 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. 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. (Hrsg.) (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. (Hrsg.) (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. (Hrsg.) (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. (Hrsg.) (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.

Keusch, F. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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.
Felderer, B., Birg, A. und Kreuter, F. (2014). Paradaten. In Baur, N. Handbuch Methoden der empirischen Sozialforschung (S. 357-365). Wiesbaden: Springer VS.
Keusch, F., Batinic, B. und Mayerhofer, W. (2014). Motives for joining nonprobability online panels and their association with survey participation behavior. In Callegaro, M. Online panel research : a data quality perspective (S. 171-191). Chichester: Wiley.
Kreuter, F. und Peng, R. D. (2014). Extracting information from big data: issues of measurement, inference and linkage. In Lane, J. Privacy, big data, and the public good : frameworks for engagement (S. 257-275). New York, NY: Cambridge Univ. Press.

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

Kreuter, F., Sakshaug, J. W. und Trappmann, M. (2014). The 2010 PASS interviewer survey : collecting data for research into interviewer effects.