Publications: Statistical Methods (KEM)
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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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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
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Does participating in a panel survey change respondents' labor market behavior?
Bach, R. & Eckman, S. (2017): Does participating in a panel survey change respondents' labor market behavior? (IAB-Discussion Paper 15/2017), Nürnberg, 31 p.
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Exploring the effects of interviewer- and self-administered survey modes on record linkage consent rates and bias
Sakshaug, J., Hülle, S., Schmucker, A. & Liebig, S. (2017): Exploring the effects of interviewer- and self-administered survey modes on record linkage consent rates and bias. In: Survey research methods, Vol. 11, No. 2, p. 171-188. DOI:10.18148/srm/2017.v11i2.7158
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Following up with nonrespondents via mode switch and shortened questionnaire in an economic survey
Sakshaug, J. & Eckman, S. (2017): Following up with nonrespondents via mode switch and shortened questionnaire in an economic survey. Evaluating nonresponse bias, measurement error bias, and total bias. In: Journal of Survey Statistics and Methodology, Vol. 5, No. 4, p. 454-479. DOI:10.1093/jssam/smw039
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Learning from mouse movements: Improving web questionnaire and respondents' user experience through passive data collection
Keusch, F., Brockhaus, S., Henninger, F., Horwitz, R., Kieslich, P., Kreuter, F. & Schierholz, M. (2017): Learning from mouse movements: Improving web questionnaire and respondents' user experience through passive data collection. Miami, getr. p..
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The quality and selectivity of linking federal administrative records to respondents and nonrespondents in a general population survey in Germany
Sakshaug, J., Antoni, M. & Sauckel, R. (2017): The quality and selectivity of linking federal administrative records to respondents and nonrespondents in a general population survey in Germany. In: Survey research methods, Vol. 11, No. 1, p. 63-80. DOI:10.18148/srm/2017.v11i1.6718
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Measuring attitudes toward distributive justice
Hülle, S., Liebig, S. & May, M. (2018): Measuring attitudes toward distributive justice. The basic social justice orientations scale. In: Social indicators research, Vol. 136, No. 2, p. 663-692. DOI:10.1007/s11205-017-1580-x
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Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models
Oberski, D., Kirchner, A., Eckman, S. & Kreuter, F. (2017): Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models. In: Journal of the American Statistical Association, Vol. 112, No. 520, p. 1477-1489. DOI:10.1080/01621459.2017.1302338
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Data analysis with Stata : general concepts of data analysis and its practical application
Kohler, U. & Kreuter, F. (2017): Datenanalyse mit Stata. Allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung. Berlin: De Gruyter, 514 p.
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On the utility of paradata in major national surveys
West, B. & Kreuter, F. (2017): On the utility of paradata in major national surveys. Challenges and benefits. In: Statistics Canada (Hrsg.) (2017): Statistics Canada International Symposium 2016: Growth in statistical information : challenges and benefits (Statistics Canada International Symposium Series: Proceedings, 2016), p. 1-32.
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Establishing infrastructure for the use of big data to understand total survey error
Kirchner, A., Hochfellner, D. & Bender, S. (2017): Establishing infrastructure for the use of big data to understand total survey error. Examples from four survey research organizations. Part 1: Big data infrastructure at the Institute for Employment Research. 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. 458-466.