Publications: Statistical Methods (KEM)
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Theory and practice in non-probability surveys
Mercer, A., Kreuter, F., Keeter, S. & Stuart, E. (2017): Theory and practice in non-probability surveys. Parallels between causal inference and survey inference. In: Public Opinion Quarterly, Vol. 81, No. S1, p. 250-271. DOI:10.1093/poq/nfw060
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Can conversational interviewing improve survey response quality without increasing interviewer effects?
West, B., Conrad, F., Kreuter, F. & Mittereder, F. (2018): Can conversational interviewing improve survey response quality without increasing interviewer effects? In: Journal of the Royal Statistical Society. Series A, Statistics in Society, Vol. 181, No. 1, p. 181-203. DOI:10.1111/rssa.12255
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Are survey nonrespondents willing to provide consent to use administrative records?
Sakshaug, J. & Eckman, S. (2017): Are survey nonrespondents willing to provide consent to use administrative records? Evidence from a nonresponse follow-up survey in Germany. In: Public opinion quarterly, Vol. 81, No. 2, p. 495-522. DOI:10.1093/poq/nfw053
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Die Krise der Demoskopie
Kreuter, F. & Könneker, C. (2016): Die Krise der Demoskopie. In: Spektrum.de - die Woche No. 45, p. 1-2.
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Inequality and Mobility Using Income, Consumption, and Wealth for the Same Individuals
Fisher, J., Johnson, D., Latner, J., Smeeding, T. & Thompson, J. (2016): Inequality and Mobility Using Income, Consumption, and Wealth for the Same Individuals. In: RSF: The Russell Sage Foundation Journal of the Social Sciences, Vol. 2, No. 6, p. 44-58. DOI:10.7758/RSF.2016.2.6.03
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Die Entwicklung von Beschäftigungsstabilität und Löhnen seit Einführung der Hartz-Reformen
Giannelli, G., Jaenichen, U. & Rothe, T. (2016): The evolution of job stability and wages after the implementation of the Hartz reforms. In: Journal for labour market research, Vol. 49, No. 3, p. 269-294. DOI:10.1007/s12651-016-0209-x
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Evaluating active (opt-in) and passive (opt-out) consent bias in the transfer of federal contact data to a third-party survey agency
Sakshaug, J., Schmucker, A., Kreuter, F., Couper, M. & 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. In: Journal of Survey Statistics and Methodology, Vol. 4, No. 3, p. 382-416. DOI:10.1093/jssam/smw020
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A genetic algorithm approach to synthetic data production
Chen, Y., Elliot, M. & Sakshaug, J. (2016): A genetic algorithm approach to synthetic data production. In: Association for Computing Machinery (Hrsg.) (2016): Proceedings of the 1st International Workshop on AI for Privacy and Security, getr. Sz. DOI:10.1145/2970030.2970034
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Establishment History Panel 1975-2014
Schmucker, A., Seth, S., Ludsteck, J., Eberle, J. & Ganzer, A. (2016): Establishment History Panel 1975-2014. (FDZ-Datenreport 03/2016 (en)), Nürnberg, 127 p.
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Big data and social science
Foster, I., Ghani, R., Jarmin, R., Kreuter, F. & Lane, J. (eds.) (2017): Big data and social science. A practical guide to methods and tools. (Chapman and Hall), Boca Raton: CRC Press, 356 p.
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Machine learning
Ghani, R. & Schierholz, M. (2017): Machine learning. In: I. Foster, R. Ghani, R. S. Jarmin, F. Kreuter & J. Lane (Hrsg.) (2017): Big data and social science : a practical guide to methods and tools, p. 147-186.
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How big of a problem is analytic error in secondary analyses of survey data?
West, B., Sakshaug, J. & Aurelien, G. (2016): How big of a problem is analytic error in secondary analyses of survey data? In: PLoS one, Vol. 11, No. 6, p. 1-29. DOI:10.1371/journal.pone.0158120
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Definitely, maybe?
Purdam, K., Bourne, M., Sakshaug, J. & Bayliss, D. (2016): Definitely, maybe? 5 million don't knows and the EU Referendum. (Manchester Policy Blogs), 7 p.
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Does the recruitment of offline households increase the sample representativeness of probability-based online panels?
Blom, A., Herzing, J., Cornesse, C., Sakshaug, J., Krieger, U. & Bossert, D. (2017): Does the recruitment of offline households increase the sample representativeness of probability-based online panels? Evidence from the German internet panel. In: Social science computer review, Vol. 35, No. 4, p. 498-520. DOI:10.1177/0894439316651584
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Privacy concerns in responses to sensitive questions
Bader, F., Bauer, J., Kroher, M. & Riordan, P. (2016): Privacy concerns in responses to sensitive questions. A survey experiment on the influence of numeric codes on unit nonresponse, item nonresponse, and misreporting. In: Methods, data, analyses, Vol. 10, No. 1, p. 47-72. DOI:10.12758/mda.2016.003
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Biases in random route surveys
Bauer, J. (2016): Biases in random route surveys. In: Journal of survey statistics and methodology, Vol. 4, No. 2, p. 263-287. DOI:10.1093/jssam/smw012
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Discussion of the synthetic data papers published in the previous issue
Drechsler, J. (2016): Discussion of the synthetic data papers published in the previous issue. In: Statistical Journal of the IAOS, Vol. 32, No. 2, p. 271-274. DOI:10.3233/SJI-161001
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Undercoverage-nonresponse trade-off
Eckman, S. & Kreuter, F. (2017): Undercoverage-nonresponse trade-off. In: P. P. Biemer, E. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L. E. Lyberg, N. C. Tucker & B. T. West (Hrsg.) (2017): Total survey error in practice, p. 97-113.
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Privacy and confidentiality
Bender, S., Jarmin, R., Kreuter, F. & Lane, J. (2016): Privacy and confidentiality. In: I. Foster, R. Ghani, R. S. Jarmin, F. Kreuter & J. Lane (Hrsg.) (2016): Big data and social science : a practical guide to methods and tools, p. 299-311.
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Establishment History Panel 1975-2014
Schmucker, A., Seth, S., Ludsteck, J., Eberle, J. & Ganzer, A. (2016): Betriebs-Historik-Panel 1975-2014. (FDZ-Datenreport 03/2016 (de)), Nürnberg, 128 p.