Publications: Statistical Methods (KEM)
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An evaluation of panel nonresponse and linkage consent bias in a survey of employees in Germany
Sakshaug, J. & Huber, M. (2016): An evaluation of panel nonresponse and linkage consent bias in a survey of employees in Germany. In: Journal of Survey Statistics and Methodology, Vol. 4, No. 1, p. 71-93. DOI:10.1093/jssam/smv034
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Big Data in survey research: AAPOR Task Force Report
Japec, L., Kreuter, F., Berg, M., Biemer, P., Decker, P., Lampe, C., Lane, J., O'Neil, C. & Usher, A. (2015): Big Data in survey research: AAPOR Task Force Report. In: Public opinion quarterly, Vol. 79, No. 4, p. 839-880. DOI:10.1093/poq/nfv039
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Effects of cluster sizes on variance components in two-stage sampling
Valliant, R., Dever, J. & Kreuter, F. (2015): Effects of cluster sizes on variance components in two-stage sampling. In: Journal of official statistics, Vol. 31, No. 4, p. 763-782. DOI:10.1515/jos-2015-0044
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Paradata - Big Data of survey research
Kreuter, F. (2015): Paradata - Big Data of survey research. In: The Survey statistician No. 71, p. 27-33.
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The association between medical home readiness, quality, and care of vulnerable patients
Chen, L., Sakshaug, J., Miller, D., Rosland, A. & Hollingsworth, J. (2015): The association between medical home readiness, quality, and care of vulnerable patients. In: The American journal of managed care, Vol. 21, No. 8, p. e480-e486.
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Using call-level interviewer observations to improve response propensity models
Eckman, S. & Sinibaldi, J. (2015): Using call-level interviewer observations to improve response propensity models. In: Public opinion quarterly, Vol. 79, No. 4, p. 976-993. DOI:10.1093/poq/nfv035
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PovcalNet, WDI and 'All the Ginis': a critical review
Smeeding, T. & Latner, J. (2015): PovcalNet, WDI and 'All the Ginis': a critical review. In: Journal of Economic Inequality, Vol. 13, p. 603-628. DOI:10.1007/s10888-015-9312-4
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Motivated misreporting
Tourangeau, R., Kreuter, F. & Eckman, S. (2015): Motivated misreporting. Shaping answers to reduce survey burden. In: U. Engel (Hrsg.) (2015): Survey measurement : techniques and findings from recent research, p. 24-41.
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Are incentive effects on response rates and nonresponse bias in large-scale, face-to-face surveys generalizable to Germany?
Pforr, K., Blohm, M., Blom, A., Erdel, B., Felderer, B., Fräßdorf, M., Hajek, K., Helmschrott, S., Kleinert, C., Koch, A., Krieger, U., Kroh, M., Martin, S., Saßenroth, D., Schmiedeberg, C., Trüdinger, E. & Rammstedt, B. (2015): Are incentive effects on response rates and nonresponse bias in large-scale, face-to-face surveys generalizable to Germany? Evidence from ten experiments. In: Public Opinion Quarterly, Vol. 79, No. 3, p. 740-768. DOI:10.1093/poq/nfv014
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MI double feature: Multiple imputation to address nonresponse and rounding errors in income questions
Drechsler, J., Kiesl, H. & Speidel, M. (2015): MI double feature: Multiple imputation to address nonresponse and rounding errors in income questions. In: Austrian Journal of Statistics, Vol. 44, No. 2, p. 59-71. DOI:10.17713/ajs.v44i2.77
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Generating synthetic geocoding information for public release
Hu, J. & Drechsler, J. (2015): Generating synthetic geocoding information for public release. In: S. A. Europäische Kommission (Hrsg.) (2015): NTTS - Conferences on New Techniques and Technologies for Statistics. Brussels, 9-13 March 2015. Proceedings, p. 56-59.
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The framing of the record linkage consent question
Kreuter, F., Sakshaug, J. & Tourangeau, R. (2016): The framing of the record linkage consent question. In: International Journal of Public Opinion Research, Vol. 28, No. 1, p. 142-152. DOI:10.1093/ijpor/edv006
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Does the inclusion of non-internet households in a web panel reduce coverage bias?
Eckman, S. (2015): Does the inclusion of non-internet households in a web panel reduce coverage bias? In: Social science computer review, Vol. 34, No. 1, p. 41-58. DOI:10.1177/0894439315572985
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Multiple imputation of multilevel missing data rigor vs. simplicity
Drechsler, J. (2015): Multiple imputation of multilevel missing data rigor vs. simplicity. In: Journal of educational and behavioral statistics, Vol. 40, No. 1, p. 69-95. DOI:10.3102/1076998614563393
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Why is justice regarded as so important? Theoretical considerations and an empirical test of a fundamental question
Liebig, S., Sauer, C. & Hülle, S. (2015): Why is justice regarded as so important? Theoretical considerations and an empirical test of a fundamental question. (SFB 882 working paper series 46), Bielefeld, 20 p.
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Modelling nonresponse in establishment surveys
Earp, M., Mitchell, M., McCarthy, J. & Kreuter, F. (2014): Modelling nonresponse in establishment surveys. Using an ensemble tree model to create nonresponse propensity scores and detect potential bias in an agricultural survey. In: Journal of official statistics, Vol. 30, No. 4, p. 701-719. DOI:10.2478/jos-2014-0044
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Generating synthetic microdata to estimate small area statistics in the american community survey
Sakshaug, J. & Raghunathan, T. (2014): Generating synthetic microdata to estimate small area statistics in the american community survey. In: Statistics in transition, Vol. 15, No. 3, p. 341-368.
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Paradata
Felderer, B., Birg, A. & Kreuter, F. (2014): Paradaten. In: N. Baur & J. Blasius (Hrsg.) (2014): Handbuch Methoden der empirischen Sozialforschung, p. 357-365. DOI:10.1007/978-3-531-18939-0_25
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The collection of biospecimens in health surveys
Sakshaug, J., Ofstedal, M., Guyer, H. & Beebe, T. (2015): The collection of biospecimens in health surveys. In: T. P. Johnson (Hrsg.) (2015): Handbook of health survey methods (Wiley Handbooks in survey methodology, 01), p. 383-419. DOI:10.1002/9781118594629.ch15
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Assessing the mechanisms of misreporting to filter questions in surveys
Eckman, S., Kreuter, F., Kirchner, A., Jäckle, A., Tourangeau, R. & Presser, S. (2014): Assessing the mechanisms of misreporting to filter questions in surveys. In: Public opinion quarterly, Vol. 78, No. 3, p. 721-733. DOI:10.1093/poq/nfu030