Publications: Statistical Methods (KEM)
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New methods for job and occupation classification
Schierholz, M. (2019): New methods for job and occupation classification. Mannheim, 88 p.
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Trust and cooperative behavior: Evidence from the realm of data-sharing
Bauer, P., Keusch, F. & Kreuter, F. (2019): Trust and cooperative behavior: Evidence from the realm of data-sharing. In: PLoS one, Vol. 14, No. 8, p. 1-18. DOI:10.1371/journal.pone.0220115
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Multivariate small area estimation of multidimensional latent economic wellbeing indicators
Moretti, A., Shlomo, N. & Sakshaug, J. (2020): Multivariate small area estimation of multidimensional latent economic wellbeing indicators. In: International statistical review, Vol. 88, No. 1, p. 1-28. DOI:10.1111/insr.12333
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Human capital spillovers and the churning phenomenon: Analysing wage effects from gross in- and outflows of high-skilled workers
Eppelsheimer, J., Eppelsheimer, J. & Möller, J. (2019): Human capital spillovers and the churning phenomenon: Analysing wage effects from gross in- and outflows of high-skilled workers. In: Regional science and urban economics, Vol. 78, No. September, p. 1-19. DOI:10.1016/j.regsciurbeco.2019.103461
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Measurement error
Cernat, A., Sakshaug, J. & Castillo, J. (2019): Measurement error. Skin colour and the role of the interviewer. In: Significance, Vol. 16, No. 4, p. 10-11. DOI:10.1111/j.1740-9713.2019.01293.x
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The effect of framing and placement on linkage consent
Sakshaug, J., Schmucker, A., Kreuter, F., Couper, M. & Singer, E. (2019): The effect of framing and placement on linkage consent. In: Public opinion quarterly, Vol. 83, No. S1, p. 289-308. DOI:10.1093/poq/nfz018
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Panel survey recruitment with or without interviewers?
Sakshaug, J., Hülle, S., Schmucker, A. & Liebig, S. (2020): Panel survey recruitment with or without interviewers? Implications for nonresponse, panel consent, and total recruitment bias. In: Journal of survey statistics and methodology, Vol. 8, No. 3, p. 540-565. DOI:10.1093/jssam/smz012
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Willingness to participate in passive mobile data collection
Keusch, F., Struminskaya, B., Antoun, C., Couper, M. & Kreuter, F. (2019): Willingness to participate in passive mobile data collection. In: Public opinion quarterly, Vol. 83, No. Supplement 1, p. 210-235. DOI:10.1093/poq/nfz007
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Tree-based machine learning methods for survey research
Kern, C., Klausch, T. & Kreuter, F. (2019): Tree-based machine learning methods for survey research. In: Survey Research Methods, Vol. 13, No. 1, p. 73-93. DOI:10.18148/srm/2019.v1i1.7395
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Identification of interviewer falsification in the IAB-BAMF-SOEP Survey of Refugees in Germany
Kosyakova, Y., Olbrich, L., Sakshaug, J. & Schwanhäuser, S. (2019): Identification of interviewer falsification in the IAB-BAMF-SOEP Survey of Refugees in Germany. (FDZ-Methodenreport 02/2019 (en)), Nürnberg, 33 p. DOI:10.5164/IAB.FDZM.1902.en.v1
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In memory of Professor Susanne Rässler
Drechsler, J., Kiesl, H., Meinfelder, F., Raghunathan, T., Rubin, D., Schenker, N. & Zell, E. (2019): In memory of Professor Susanne Rässler. In: Journal of official statistics, Vol. 35, No. 1, p. 285-286. DOI:10.2478/jos-2019-0013
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The effect of survey mode on data quality
Felderer, B., Kirchner, A. & Kreuter, F. (2019): The effect of survey mode on data quality. Disentangling nonresponse and measurement error bias. In: Journal of official statistics, Vol. 35, No. 1, p. 93-115. DOI:10.2478/jos-2019-0005
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Paradata
Felderer, B., Birg, A. & Kreuter, F. (2019): Paradaten. In: N. Baur & J. Blasius (Hrsg.) (2019): Handbuch Methoden der empirischen Sozialforschung, p. 413-422. DOI:10.1007/978-3-658-21308-4_29
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Small area estimation of latent economic well-being
Moretti, A., Shlomo, N. & Sakshaug, J. (2021): Small area estimation of latent economic well-being. In: Sociological methods & research, Vol. 50, No. 4, p. 1660-1693. DOI:10.1177/0049124119826160
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What are alternative data sources, and how to use them?
Kreuter, F. (2019): What are alternative data sources, and how to use them? In: The Survey statistician No. 79, p. 13-15.
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The impact of interviewer effects on skin color assessment in a cross-national context
Cernat, A., Sakshaug, J. & Castillo, J. (2019): The impact of interviewer effects on skin color assessment in a cross-national context. In: International Journal of Public Opinion Research, Vol. 31, No. 4, p. 779-793. DOI:10.1093/ijpor/edy030
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Do sequential mixed-mode surveys decrease nonresponse bias, measurement error bias, and total bias?
Sakshaug, J., Cernat, A. & Raghunathan, T. (2019): Do sequential mixed-mode surveys decrease nonresponse bias, measurement error bias, and total bias? An experimental study. In: Journal of survey statistics and methodology, Vol. 7, No. 4, p. 545-571. DOI:10.1093/jssam/smy024
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How Cross-Validation Can Go Wrong and What to Do About It
Neunhoeffer, M. & Sternberg, S. (2019): How Cross-Validation Can Go Wrong and What to Do About It. In: Political analysis, Vol. 27, p. 101-106. DOI:10.1017/pan.2018.39
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Collecting survey and smartphone sensor data with an app: opportunities and challenges around privacy and informed consent
Kreuter, F., Haas, G., Keusch, F., Bähr, S. & Trappmann, M. (2020): Collecting survey and smartphone sensor data with an app: opportunities and challenges around privacy and informed consent. In: Social science computer review, Vol. 38, No. 5, p. 533-549. DOI:10.1177/0894439318816389
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Statistical matching as a supplement to record linkage
Gessendorfer, J., Beste, J., Drechsler, J. & Sakshaug, J. (2018): Statistical matching as a supplement to record linkage. A valuable method to tackle nonconsent bias? In: Journal of official statistics, Vol. 34, No. 4, p. 909-933. DOI:10.2478/jos-2018-0045