Publications: Statistical Methods (KEM)
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New Data Sources in Social Science Research
Ashley, A., Bach, R., Keusch, F. & Kreuter, F. (2021): New Data Sources in Social Science Research. Things to Know Before Working With Reddit Data. In: Social science computer review, Vol. 39, No. 5, p. 943-960. DOI:10.1177/0894439319893305
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Learning from mouse movements: Improving questionnaire and respondents' user experience through passive data collection
Horwitz, R., Brockhaus, S., Henninger, F., Kieslich, P., Schierholz, M., Keusch, F. & Kreuter, F. (2020): Learning from mouse movements: Improving questionnaire and respondents' user experience through passive data collection. In: P. C. Beatty, D. Collins, L. Kaye, J. L. Padilla, G. Willis & A. Wilmot (Eds.) (2020): Advances in questionnaire design, development, evaluation and testing, Nürnberg, p. 403-426. DOI:10.1002/9781119263685.ch16
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The salience of survey burden and its effect on response behavior to skip questions
Kreuter, F., Eckman, S. & Tourangeau, R. (2020): The salience of survey burden and its effect on response behavior to skip questions. Experimental results from telephone and web surveys. In: P. C. Beatty, D. Collins, L. Kaye, J. L. Padilla, G. Willis & A. Wilmot (Eds.) (2020): Advances in questionnaire design, development, evaluation and testing, Nürnberg, p. 213-228. DOI:10.1002/9781119263685.ch9
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Does benefit framing improve record linkage consent rates?
Sakshaug, J., Stegmaier, J., Trappmann, M. & Kreuter, F. (2019): Does benefit framing improve record linkage consent rates? A survey experiment. In: Survey research methods, Vol. 13, No. 3, p. 289-304. DOI:10.18148/srm/2019.v13i3.7391
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What do we know about voters who say "don't know" in election polls?
Purdam, K. & Sakshaug, J. (2019): What do we know about voters who say "don't know" in election polls? In: The Conversation No. 06.12.2019, o.Sz.
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Coke macht mehr draus
Hepp, L., Kluge, R., Schwanhäuser, S. & Stark, K. (2020): Coke macht mehr draus. In: R. Kluge & F. Meinfelder (Hrsg.) (2020): Bad Science: Die dunkle Seite der Statistik, München, Vahlen p. 111-126.
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Change through data: a data analytics training program for government employees
Kreuter, F., Ghani, R. & Lane, J. (2019): Change through data: a data analytics training program for government employees. In: Harvard Data Science Review, Vol. 1, No. 2, p. 26 S. DOI:10.1162/99608f92.ed353ae3
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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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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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"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.