Publications: Statistical Methods (KEM)
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"Erwartungen an Wirtschaft und Gesellschaft" - Legitimation of inequality over the life-span
Adriaans, J., Eisnecker, P., Hülle, S., Klassen, J., Liebig, S. & Valet, P. (2019): "Erwartungen an Wirtschaft und Gesellschaft" - Legitimation of inequality over the life-span. Feldbericht und Codebuch zur zweiten Welle (LINOS-2). (Data documentation 97), Berlin, 343 p.
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Evaluation der Förderinstrumente für Langzeitarbeitslose (§ 16e & § 16i SGB II)
Bauer, F., Dietz, M., Hülle, S., Kupka, P., Promberger, M., Ramos Lobato, P., Stockinger, B., Trappmann, M., Wolff, J. & Zabel, C. (2019): Evaluation der Förderinstrumente für Langzeitarbeitslose (§ 16e & § 16i SGB II). Zusammenfassung des IAB-Untersuchungskonzepts. Nürnberg, 14 p.
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The employee survey "Expectations towards Economy and Society" -Legitimation of inequality over the life-span
Adriaans, J., Eisnecker, P., Hülle, S., Klassen, J., Liebig, S. & Valet, P. (2019): The employee survey "Expectations towards Economy and Society" -Legitimation of inequality over the life-span. Codebook for the second wave (LINOS-2). (Data documentation 98), Berlin, 200 p. DOI:10.25652/diwdataS0017.1
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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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An auxiliary classification with work activity descriptions for occupation coding
Schierholz, M. (2018): Eine Hilfsklassifikation mit Tätigkeitsbeschreibungen für Zwecke der Berufskodierung. In: Wirtschafts- und Sozialstatistisches Archiv, Vol. 12, No. 3-4, p. 285-298. DOI:10.1007/s11943-018-0231-2
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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
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Parametric bootstrap mean squared error of a small area multivariate EBLUP
Moretti, A., Shlomo, N. & Sakshaug, J. (2020): Parametric bootstrap mean squared error of a small area multivariate EBLUP. In: Communications in statistics - Simulation and computation, Vol. 49, No. 6, p. 1474-1486. DOI:10.1080/03610918.2018.1498889
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Paper, e-mail, or both?
Sakshaug, J., Vicari, B. & Couper, M. (2019): Paper, e-mail, or both? Effects of contact mode on participation in a web survey of establishments. In: Social science computer review, Vol. 37, No. 6, p. 750-765. DOI:10.1177/0894439318805160
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Within-household selection and dual-frame telephone surveys
Marlar, J., Chattopadhyay, M., Jones, J., Marken, S. & Kreuter, F. (2018): Within-household selection and dual-frame telephone surveys. A comparative experiment of eleven different selection methods. In: Survey Practice, Vol. 11, No. 2, p. 1-30. DOI:10.29115/SP-2018-0031
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Forecasting Elections in Multiparty Systems: A Bayesian Approach Combining Polls and Fundamentals
Stoetzer, L., Neunhoeffer, M., Gschwend, T., Munzert, S. & Sternberg, S. (2019): Forecasting Elections in Multiparty Systems: A Bayesian Approach Combining Polls and Fundamentals. In: Political analysis, Vol. 27, p. 255-262. DOI:10.1017/pan.2018.49