Publications: Statistical Methods (KEM)
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Big Data - the beginning of a golden age for empirical labour market research?
Schludi, M., Kreuter, F. (interviewte Person) (2017): Big Data - the beginning of a golden age for empirical labour market research? An interview with IAB researcher Frauke Kreuter. In: IAB-Forum No. 17.11.2017, o. Sz.
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Interviewer-respondent interactions in conversational and standardized interviewing
Mittereder, F., Durow, J., West, B., Kreuter, F. & Conrad, F. (2018): Interviewer-respondent interactions in conversational and standardized interviewing. In: Field Methods, Vol. 30, No. 1, p. 3-21. DOI:10.1177/1525822X17729341
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Motivated misreporting in web panels
Bach, R. & Eckman, S. (2018): Motivated misreporting in web panels. In: Journal of survey statistics and methodology, Vol. 6, No. 3, p. 418-430. DOI:10.1093/jssam/smx030
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Income volatility and mobility: a conceptual exploration of two frameworks
Latner, J. (2018): Income volatility and mobility: a conceptual exploration of two frameworks. In: Research in Social Stratification and Mobility, Vol. 53, No. Feburary, p. 50-63. DOI:10.1016/j.rssm.2017.10.002
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Linking survey data to official government records
Sakshaug, J. (2018): Linking survey data to official government records. In: D. L. Vanette & J. A. Krosnick (Hrsg.) (2018): The Palgrave Handbook of survey research, p. 597-606. DOI:10.1007/978-3-319-54395-6_67
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Methods of linking survey data to official records
Sakshaug, J. (2018): Methods of linking survey data to official records. In: D. L. Vanette & J. A. Krosnick (Hrsg.) (2018): The Palgrave Handbook of survey research, p. 257-261. DOI:10.1007/978-3-319-54395-6_32
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Paradata
Kreuter, F. (2018): Paradata. In: D. L. Vanette & J. A. Krosnick (Hrsg.) (2018): The Palgrave Handbook of survey research, p. 529-535. DOI:10.1007/978-3-319-54395-6_61
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Getting the most out of paradata
Kreuter, F. (2018): Getting the most out of paradata. In: D. L. Vanette & J. A. Krosnick (Hrsg.) (2018): The Palgrave Handbook of survey research, p. 193-198. DOI:10.1007/978-3-319-54395-6_24
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Statutory minimum wage from the employers perspective
Bossler, M. & Jaenichen, U. (2017): Der gesetzliche Mindestlohn aus betrieblicher Sicht. In: WSI-Mitteilungen, Vol. 70, No. 7, p. 482-490. DOI:10.5771/0342-300X-2017-7-482
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Innovations in federal statistics
(2017): Innovations in federal statistics. Combining data sources while protecting privacy. (Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Models), Washington, D.C.: National Academies Press, 136 p., Anhang. DOI:10.17226/24652
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Federal statistics, multiple data sources, and privacy protection
(2017): Federal statistics, multiple data sources, and privacy protection. Next steps. (Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods), Washington, D.C.: The National Academies Press, 194 p. DOI:10.17226/24893
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Nonresponse and measurement error variance among interviewers in standardized and conversational interviewing
West, B., Conrad, F., Kreuter, F. & Mittereder, F. (2017): Nonresponse and measurement error variance among interviewers in standardized and conversational interviewing. In: Journal of Survey Statistics and Methodology, Vol. 6, No. 3, p. 335-359. DOI:10.1093/jssam/smx029
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The effect of differential incentives on attrition bias
Felderer, B., Müller, G., Kreuter, F. & Winter, J. (2018): The effect of differential incentives on attrition bias. Evidence from the PASS Wave 3 incentive experiment. In: Field Methods, Vol. 30, No. 1, p. 56-69. DOI:10.1177/1525822X17726206
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Zweitstimme.org. Ein strukturell-dynamisches Vorhersagemodell für Bundestagswahlen
Munzert, S., Stötzer, L., Gschwend, T., Neunhoeffer, M. & Sternberg, S. (2017): Zweitstimme.org. Ein strukturell-dynamisches Vorhersagemodell für Bundestagswahlen. In: Politische Vierteljahresschrift, Vol. 58, No. 3, p. 418-441. DOI:10.5771/0032-3470-2017-3-418
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Analytic error as an important component of total survey error
West, B., Sakshaug, J. & Kim, Y. (2017): Analytic error as an important component of total survey error. Results from a meta-analysis. In: P. P. Biemer, E. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L. E. Lyberg, N. C. Tucker & B. T. West (Hrsg.) (2017): Total Survey Error in Practice, p. 489-510.
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Biases in multilevel analyses caused by cluster-specific fixed-effects imputation
Speidel, M., Drechsler, J. & Sakshaug, J. (2018): Biases in multilevel analyses caused by cluster-specific fixed-effects imputation. In: Behavior research methods, Vol. 50, No. 5, p. 1824-1840. DOI:10.3758/s13428-017-0951-1
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Grundeinkommen in einer Kleinstadt: Die schwer fassbaren Auswirkungen auf die Arbeit verstehen
Calnitsky, D. & Latner, J. (2017): Basic Income in a Small Town: Understanding the Elusive Effects on Work. In: Social problems, Vol. 64, No. 3, p. 373-397. DOI:10.1093/socpro/spw040
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Obtaining record linkage consent from establishments
Sakshaug, J. & Vicari, B. (2018): Obtaining record linkage consent from establishments. The impact of question placement on consent rates and bias. In: Journal of Survey Statistics and Methodology, Vol. 6, No. 1, p. 46-71. DOI:10.1093/jssam/smx009
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Occupation coding during the interview
Schierholz, M., Gensicke, M., Tschersich, N. & Kreuter, F. (2018): Occupation coding during the interview. In: Journal of the Royal Statistical Society. Series A, Statistics in Society, Vol. 181, No. 2, p. 379-407. DOI:10.1111/rssa.12297
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Does granting linkage consent in the beginning of the questionnaire affect data quality?
Eckman, S. & Haas, G. (2017): Does granting linkage consent in the beginning of the questionnaire affect data quality? In: Journal of Survey Statistics and Methodology, Vol. 5, No. 4, p. 535-551. DOI:10.1093/jssam/smx016