Publikationen: Kompetenzzentrum Empirische Methoden (KEM)
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Impacts of the COVID-19 Pandemic on Labor Market Surveys at the German Institute for Employment Research
Sakshaug, Joseph, Jonas Beste, Mustafa Coban, Tanja Fendel, Georg-Christoph Haas, Sebastian Hülle, Yuliya Kosyakova, Corinna König, Frauke Kreuter, Benjamin Küfner, Bettina Müller, Christopher Osiander, Silvia Schwanhäuser, Gesine Stephan, Ehsan Vallizadeh, Marieke Volkert, Claudia Wenzig, Christian Westermeier, Cordula Zabel & Stefan Zins (2020): Impacts of the COVID-19 Pandemic on Labor Market Surveys at the German Institute for Employment Research. In: Survey research methods, Jg. 14, H. 2, S. 229-233. DOI:10.18148/srm/2020.v14i2.7743
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Examining the Utility of Interviewer Observations on the Survey Response Process
West, Brady T., Ting Yan, Frauke Kreuter, Michael Josten & Heather Schroeder (2020): Examining the Utility of Interviewer Observations on the Survey Response Process. In: K. Olson, J. D. Smyth, J. Dykema, A. Holbrook, F. Kreuter & B. T. West (Hrsg.) (2020): Interviewer Effects from a Total Survey Error Perspective, getr. Sz.
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Statistical identification of fraudulent interviews in surveys
Schwanhäuser, Silvia, Joseph Sakshaug, Yuliya Kosyakova & Frauke Kreuter (2020): Statistical identification of fraudulent interviews in surveys. Improving interviewer controls. In: K. Olson, J. D. Smyth, J. Dykema, A. Holbrook, F. Kreuter & B. T. West (Eds.) (2020): Interviewer effects from a total survey error perspective, o. Sz.
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The Past, Present, and Future of Research on Interviewer Effects
Olson, Kristen, Jennifer Dykema, Allyson Holbrook, Frauke Kreuter, Jolene D. Smyth & Brady T. West (2020): The Past, Present, and Future of Research on Interviewer Effects. In: K. Olson, J. D. Smyth, J. Dykema, A. Holbrook, F. Kreuter & B. T. West (Hrsg.) (2020): Interviewer Effects from a Total Survey Error Perspective, getr. Sz.
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Interviewer effects from a total survey error perspective
Olson, Kristen, Jolene D. Smyth, Jennifer Dykema, Allyson Holbrook, Frauke Kreuter & Brady T. West (Hrsg.) (2020): Interviewer effects from a total survey error perspective. (Chapman and Hall / CRC Statistics in the Social and Behavioral Sciences), Boca Raton: CRC Press, 342 S. DOI:10.1201/9781003020219
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Understanding ‘Don't know’ answers to survey questions
Purdam, Kingsley, Joseph Sakshaug, Mollie Bourne & David Bayliss (2024): Understanding ‘Don't know’ answers to survey questions. An international comparative analysis using interview paradata. In: Innovation: The European Journal of Social Science Research, Jg. 37, H. 2, S. 219-241. DOI:10.1080/13511610.2020.1752631
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A data driven approach to understanding and handling non-response in the Next Steps cohort
Silverwood, Richard J., Lisa Calderwood, Joseph Sakshaug & George B. Ploubidis (2020): A data driven approach to understanding and handling non-response in the Next Steps cohort. (CLS Working Paper 2020/05), London, 34 S.
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The impact of mixed modes on multiple types of measurement error
Cernat, Alexandru & Joseph Sakshaug (2020): The impact of mixed modes on multiple types of measurement error. In: Survey research methods, Jg. 14, H. 1, S. 79-91. DOI:10.18148/srm/2020.v14i1.7450
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Coverage error in data collection combining mobile surveys with passive measurement using apps
Keusch, Florian, Sebastian Bähr, Georg-Christoph Haas, Frauke Kreuter & Mark Trappmann (2023): Coverage error in data collection combining mobile surveys with passive measurement using apps. Data from a German national survey. In: Sociological methods & research, Jg. 52, H. 2, S. 841-878. DOI:10.1177/0049124120914924
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The impact of synthetic data generation on data utility with application to the 1991 UK samples of anonymised records
Taub, Jennifer, Mark Elliot & Joseph Sakshaug (2020): The impact of synthetic data generation on data utility with application to the 1991 UK samples of anonymised records. In: Transactions on Data Privacy, Jg. 13, H. 1, S. 1-23.
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Nurse effects on measurement error in household biosocial surveys
Cernat, Alexandru & Joseph Sakshaug (2020): Nurse effects on measurement error in household biosocial surveys. In: BMC medical research methodology, Jg. 20, S. 1-9. DOI:10.1186/s12874-020-00922-2
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Variance Estimation by Linearisation for the At Risk of Poverty or Social Exclusion (AROPE) Rate
Zins, Stefan (2020): Variance Estimation by Linearisation for the At Risk of Poverty or Social Exclusion (AROPE) Rate. In: Austrian Journal of Statistics, Jg. 49, H. 1, S. 33-44. DOI:10.17713/ajs.v49i1.882
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Recent advances in probability-based and nonprobability survey research
Blom, Annelies G., Carina Cornesse, Joseph Sakshaug & Alexander Wenz (2020): Recent advances in probability-based and nonprobability survey research. Editorial. In: Journal of survey statistics and methodology, Jg. 8, H. 1, S. 2-3. DOI:10.1093/jssam/smaa002
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The relationship between interviewer-respondent rapport and data quality
Sun, Hanyu, Frederick G. Conrad & Frauke Kreuter (2021): The relationship between interviewer-respondent rapport and data quality. In: Journal of survey statistics and methodology, Jg. 9, H. 3, S. 429-448. DOI:10.1093/jssam/smz043
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Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung
Keusch, Florian & Frauke Kreuter (2020): Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung. In: B. Keller, H.-W. Klein, A. Wachenfeld-Schell & T. Wirth (eds) (2020): Marktforschung für die Smart Data World, Wiesbaden, Springer Gabler S. 3-25. DOI:10.1007/978-3-658-28664-4_1
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Differential Privacy and Social Science: An Urgent Puzzle
Oberski, Daniel & Frauke Kreuter (2020): Differential Privacy and Social Science: An Urgent Puzzle. In: Harvard Data Science Review, Jg. 2, H. 1, o. Sz. DOI:10.1162/99608f92.63a22079
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Ein Ansatz zur Vorhersage der Erststimmenanteile bei Bundestagswahlen
Neunhoeffer, Marcel, Thomas Gschwend, Simon Munzert & Lukas F. Stoetzer (2020): Ein Ansatz zur Vorhersage der Erststimmenanteile bei Bundestagswahlen. In: Politische Vierteljahresschrift, Jg. 61, H. 1, S. 111-130. DOI:10.1007/s11615-019-00216-3
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Integrating probability and nonprobability samples for survey inference
Wiśniowski, Arkadiusz, Joseph Sakshaug, Diego Andres Perez Ruiz & Annelies Blom (2020): Integrating probability and nonprobability samples for survey inference. In: Journal of survey statistics and methodology, Jg. 8, H. 1, S. 120-147. DOI:10.1093/jssam/smz051
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Multiple Imputation
Drechsler, Jörg (2020): Multiple Imputation. In: P. Atkinson, S. Delamont, A. Cernat, J. W. Sakshaug & R. A. Williams (Hrsg.) (2020), SAGE Research methods foundations: an encyclopedia, o. Sz. DOI:10.4135/9781526421036885886
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Die digitale Herausforderung
Horn, Christof & Frauke Kreuter (2020): Die digitale Herausforderung. Tipping Points, die Ihr Unternehmen verändern werden. Freiburg: Haufe, 324 S.