Publikationen: Kompetenzzentrum Empirische Methoden (KEM)
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Machine learning
Ghani, Rayid & Malte Schierholz (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, S. 147-186.
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How big of a problem is analytic error in secondary analyses of survey data?
West, Brady T., Joseph Sakshaug & Guy Alain S. Aurelien (2016): How big of a problem is analytic error in secondary analyses of survey data? In: PLoS one, Jg. 11, H. 6, S. 1-29. DOI:10.1371/journal.pone.0158120
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Definitely, maybe?
Purdam, Kingsley, Mollie Bourne, Joseph Sakshaug & David Bayliss (2016): Definitely, maybe? 5 million don't knows and the EU Referendum. (Manchester Policy Blogs), 7 S.
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Does the recruitment of offline households increase the sample representativeness of probability-based online panels?
Blom, Annelies G., Jessica M.E. Herzing, Carina Cornesse, Joseph Sakshaug, Ulrich Krieger & Dayana Bossert (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, Jg. 35, H. 4, S. 498-520. DOI:10.1177/0894439316651584
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Biases in random route surveys
Bauer, Johannes (2016): Biases in random route surveys. In: Journal of survey statistics and methodology, Jg. 4, H. 2, S. 263-287. DOI:10.1093/jssam/smw012
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Privacy concerns in responses to sensitive questions
Bader, Felix, Johannes Bauer, Martina Kroher & Patrick Riordan (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, Jg. 10, H. 1, S. 47-72. DOI:10.12758/mda.2016.003
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Discussion of the synthetic data papers published in the previous issue
Drechsler, Jörg (2016): Discussion of the synthetic data papers published in the previous issue. In: Statistical Journal of the IAOS, Jg. 32, H. 2, S. 271-274. DOI:10.3233/SJI-161001
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Occupation coding during the interview
Schierholz, Malte, Miriam Gensicke & Nikolai Tschersich (2016): Occupation coding during the interview. (IAB-Discussion Paper 17/2016), Nürnberg, 30 S.
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Undercoverage-nonresponse trade-off
Eckman, Stephanie & Frauke Kreuter (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, S. 97-113.
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Privacy and confidentiality
Bender, Stefan, Ron Jarmin, Frauke Kreuter & Julia Lane (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, S. 299-311.
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Betriebs-Historik-Panel 1975-2014
Schmucker, Alexandra, Stefan Seth, Johannes Ludsteck, Johanna Eberle & Andreas Ganzer (2016): Betriebs-Historik-Panel 1975-2014. (FDZ-Datenreport 03/2016 (de)), Nürnberg, 128 S.
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Imputation of the working time information for the employment register data
Ludsteck, Johann & Ulrich Thomsen (2016): Imputation of the working time information for the employment register data. (FDZ-Methodenreport 01/2016 (en)), Nürnberg, 19 S.
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Classifying open-ended reports: Factors affecting the reliability of occupation codes
Conrad, Frederick G., Mick Couper & Joseph Sakshaug (2016): Classifying open-ended reports: Factors affecting the reliability of occupation codes. In: Journal of official statistics, Jg. 32, H. 1, S. 75-92. DOI:10.1515/jos-2016-0003
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Using mouse movements to predict web survey response difficulty
Horwitz, Rachel, Frauke Kreuter & Frederick Conrad (2017): Using mouse movements to predict web survey response difficulty. In: Social science computer review, Jg. 35, H. 3, S. 388-405. DOI:10.1177/0894439315626360
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Principles of the Just Distribution of Benefits and Burdens: The "Basic Social Justice Orientations" Scale for Measuring Order-Related Social Justice Attitudes
Liebig, Stefan, Sebastian Hülle & Meike Janina May (2016): Principles of the Just Distribution of Benefits and Burdens: The "Basic Social Justice Orientations" Scale for Measuring Order-Related Social Justice Attitudes. (SOEPpapers on multidisciplinary panel data research at DIW Berlin 831), Berlin, 34 S.
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Beat the heap: An imputation strategy for valid inferences from rounded income data
Drechsler, Jörg & Hans Kiesl (2016): Beat the heap: An imputation strategy for valid inferences from rounded income data. In: Journal of Survey Statistics and Methodology, Jg. 4, H. 1, S. 22-42. DOI:10.1093/jssam/smv032
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Practools: computations for design of finite population samples
Valliant, Richard, Jill A. Dever & Frauke Kreuter (2015): Practools: computations for design of finite population samples. In: The R journal, Jg. 7, H. 2, S. 163-176.
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Automatic coding of occupations
Bethmann, Arne, Malte Schierholz, Knut Wenzig & Markus Zielonka (2014): Automatic coding of occupations. Using machine learning algorithms for occupation coding in several German panel surveys. In: Statistics Canada (Hrsg.) (2014): Beyond traditional survey taking : adapting to a changing world. Proceedings of Statistics Canada Symposium 2014, S. 1-6.
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Obtaining record linkage consent
Sakshaug, Joseph, Stefanie Wolter & Frauke Kreuter (2015): Obtaining record linkage consent. Results from a wording experiment in Germany. In: Survey Methods: Insights from the Field H. 01.11.2015, S. 1-12. DOI:10.13094/SMIF-2015-00012
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Misreporting to looping questions in surveys
Eckman, Stephanie & Frauke Kreuter (2015): Misreporting to looping questions in surveys. Recall, motivation and burden. (IAB-Discussion Paper 29/2015), Nürnberg, 24 S.