Publications: Statistical Methods (KEM)
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Predicting voting behavior using digital trace data
Bach, R., Kern, C., Ashley, A., Keusch, F., Kreuter, F., Hecht, J. & Heinemann, J. (2021): Predicting voting behavior using digital trace data. In: Social science computer review, Vol. 39, No. 5, p. 862-883. DOI:10.1177/0894439319882896
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Life after Work: The Impact of Basic Income on Nonemployment Activities
Calnitsky, D., Latner, J. & Forget, E. (2019): Life after Work: The Impact of Basic Income on Nonemployment Activities. In: Social Science History, Vol. 43, No. 4, p. 657-677. DOI:10.1017/ssh.2019.35
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SAGE Research methods foundations: an encyclopedia
Atkinson, P., Delamont, S., Cernat, A., Sakshaug, J. & Williams, R. (eds.) (2019): SAGE Research methods foundations: an encyclopedia. Los Angeles: Sage, getr. p..
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Supplementing small probability samples with nonprobability samples
Sakshaug, J., Wiśniowski, A., Perez-Ruiz, D. & Blom, A. (2019): Supplementing small probability samples with nonprobability samples. A Bayesian approach. In: Journal of official statistics, Vol. 35, No. 3, p. 653-681. DOI:10.2478/jos-2019-0027
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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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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., accepted on June 04, 2019. 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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"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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Flüchtlingsmonitoring: Endbericht
Brenzel, H., Brücker, H., Fendel, T., Guichard, L., Jaschke, P., Keita, S., Kosyakova, Y., Olbrich, L., Trübswetter, P. & Vallizadeh, E. (2019): Flüchtlingsmonitoring: Endbericht. (Bundesministerium für Arbeit und Soziales. Forschungsbericht 528), Berlin, 119 p.
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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