Publikationen: Kompetenzzentrum Empirische Methoden (KEM)
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The Carryover Effects of Preceding Interviewer–Respondent Interaction on Responses in Audio Computer-Assisted Self-Interviewing (ACASI)
Sun, Hanyu, Frederick G. Conrad & Frauke Kreuter (2022): The Carryover Effects of Preceding Interviewer–Respondent Interaction on Responses in Audio Computer-Assisted Self-Interviewing (ACASI). In: Journal of survey statistics and methodology, Jg. 10, H. 2, S. 299-316. DOI:10.1093/jssam/smaa019
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Rethinking the Role of Racial Segregation in the American Foreclosure Crisis
Latner, Jonathan P. (2017): Rethinking the Role of Racial Segregation in the American Foreclosure Crisis. In: City & Community, Jg. 16, H. 4, S. 447-485. DOI:10.1111/cico.12253
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Betriebliche Berufsausbildung in der Covid-19-Krise: Viele Betriebe kennen das Bundesprogramm "Ausbildungsplätze sichern" noch nicht (Serie "Corona-Krise: Folgen für den Arbeitsmarkt")
Bellmann, Lutz, Bernd Fitzenberger, Patrick Gleiser, Christian Kagerl, Eva Kleifgen, Theresa Koch, Corinna König, Ute Leber, Laura Pohlan, Duncan Roth, Malte Schierholz, Jens Stegmaier & Armin Aminian (2020): Betriebliche Berufsausbildung in der Covid-19-Krise: Viele Betriebe kennen das Bundesprogramm "Ausbildungsplätze sichern" noch nicht (Serie "Corona-Krise: Folgen für den Arbeitsmarkt"). In: IAB-Forum H. 24.11.2020 Nürnberg, o. Sz.
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Interviewerkontrolle in der 4. Welle der IAB-BAMF-SOEP-Befragung von Geflüchteten, Stichproben M3-M5
Olbrich, Lukas, Yuliya Kosyakova, Joseph Sakshaug & Silvia Schwanhäuser (2020): Interviewerkontrolle in der 4. Welle der IAB-BAMF-SOEP-Befragung von Geflüchteten, Stichproben M3-M5. (SOEP Survey Papers 901: Series C - Data Documentations), Berlin, 3 S.
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Synthetic microdata for establishment surveys under informative sampling
Kim, Hang J., Jörg Drechsler & Katherine J. Thompson (2021): Synthetic microdata for establishment surveys under informative sampling. In: Journal of the Royal Statistical Society. Series A, Statistics in Society, Jg. 184, H. 1, S. 255-281. DOI:10.1111/rssa.12622
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Betriebliche Ausbildung trotz Erschwernissen in der Covid-19-Krise robuster als erwartet (Serie "Corona-Krise: Folgen für den Arbeitsmarkt")
Bellmann, Lutz, Bernd Fitzenberger, Patrick Gleiser, Christian Kagerl, Eva Kleifgen, Theresa Koch, Corinna König, Ute Leber, Laura Pohlan, Duncan Roth, Malte Schierholz, Jens Stegmaier & Armin Aminian (2020): Betriebliche Ausbildung trotz Erschwernissen in der Covid-19-Krise robuster als erwartet (Serie "Corona-Krise: Folgen für den Arbeitsmarkt"). In: IAB-Forum H. 05.11.2020 Nürnberg, o. Sz.
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Machine learning for occupation coding - a comparison study
Schierholz, Malte & Matthias Schonlau (2021): Machine learning for occupation coding - a comparison study. In: Journal of survey statistics and methodology, Jg. 9, H. 5, S. 1013-1034. DOI:10.1093/jssam/smaa023
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Nurse Effects on Non-Response in Survey-Based Biomeasures
Cernat, Alexandru, Joseph Sakshaug, Tarani Chandola, James Nazroo & Natalie Shlomo (2021): Nurse Effects on Non-Response in Survey-Based Biomeasures. In: International Journal of Social Research Methodology, Jg. 24, H. 4, S. 487-499. DOI:10.1080/13645579.2020.1832737
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How effective are enforcement measures for compliance with the minimum wage?
Bossler, Mario, Ursula Jaenichen & Simeon Schächtele (2022): How effective are enforcement measures for compliance with the minimum wage? Evidence from Germany. In: Economic and Industrial Democracy, Jg. 43, H. 2, S. 943-971. DOI:10.1177/0143831X20962193
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The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond
Speidel, Matthias, Jörg Drechsler & Shahab Jolani (2020): The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond. In: Journal of statistical software, Jg. 95, H. 9, S. 1-48. DOI:10.18637/jss.v095.i09
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Linking Surveys with Big Data
Sakshaug, Joseph (2020): Linking Surveys with Big Data. Issues of Consent. In: B. Klumpe, J. Schröder & M. Zwick (Hrsg.) (2020): Qualität bei zusammengeführten Daten - Befragungsdaten, Administrative Daten, neue digitale Daten: Miteinander besser?, Wiesbaden, Springer VS S. 163-173. DOI:10.1007/978-3-658-31009-7_12
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TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding
Haensch, Anna-Carolina, Jörg Drechsler & Sarah Bernhard (2020): TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding. (IAB-Discussion Paper 29/2020), Nürnberg, 39 S.
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Data linkage
Antoni, Manfred & Joseph Sakshaug (2020): Data linkage. In: P. A. Atkinson, A. Cernat, S. Delamont, J. Sakshaug & R. A. Williams (Eds.) (2020): SAGE Research Methods foundations, S. 1-18. DOI:10.4135/9781526421036931838
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Secure Matrix Computation: A Viable Alternative to Record Linkage?
Drechsler, Jörg & Benjamin Klein (2020): Secure Matrix Computation: A Viable Alternative to Record Linkage? In: J. Domingo-Ferrer & K. Muralidhar (Hrsg.) (2020): Privacy in Statistical Databases, Cham, S. 240-254. DOI:10.1007/978-3-030-57521-2_17
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Applying data synthesis for longitudinal business data across three countries
Alam, M. Jahangir, Benoit Dostie, Jörg Drechsler & Lars Vilhuber (2020): Applying data synthesis for longitudinal business data across three countries. In: Statistics in transition, Jg. 21, H. 4, S. 212-236. DOI:10.21307/stattrans-2020-039
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Effects of incentives in smartphone data collection
Haas, Georg-Christoph, Frauke Kreuter, Florian Keusch, Mark Trappmann & Sebastian Bähr (2020): Effects of incentives in smartphone data collection. In: C.A. Hill, P.P. Biemer, T. Buskirk, L. Japec, A. Kirchner, S. Kolenikov & L.E. Lyberg (Eds.) (2020): Big Data Meets Survey Science, S. 387-414. DOI:10.1002/9781118976357.ch13
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Measuring the Strength of Attitudes in Social Media Data
Amaya, Ashley, Ruben L. Bach, Frauke Kreuter & Florian Keusch (2020): Measuring the Strength of Attitudes in Social Media Data. In: C.A. Hill, P.P. Biemer, T. Buskirk, L. Japec, A. Kirchner, S. Kolenikov & L.E. Lyberg (Eds.) (2020): Big Data Meets Survey Science: A Collection of Innovative Methods, S. 163-192. DOI:10.1002/9781118976357.ch5
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Combining Active and Passive Mobile Data Collection: A Survey of Concerns
Keusch, Florian, Bella Struminskaya, Frauke Kreuter & Martin Weichbold (2020): Combining Active and Passive Mobile Data Collection: A Survey of Concerns. In: C. A. Hill, P. P. Biemer, T. D. Buskirk, L. Japec, A. Kirchner, S. Kolenikov & L. E. Lyberg (Eds.) (2020): Big Data Meets Survey Science: A Collection of Innovative Methods, New York, Wiley S. 657-682. DOI:10.1002/9781118976357.ch22
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Acceptability of app-based contact tracing for COVID-19: Cross-country survey evidence
Altmann, Samuel, Luke Milsom, Hannah Zillessen, Raffaele Blasone, Frederic Gerdon, Ruben L. Bach, Frauke Kreuter, Daniele Nosenzo, Severine Toussaert & Johannes Abeler (2020): Acceptability of app-based contact tracing for COVID-19: Cross-country survey evidence. In: JMIR mhealth and uhealth, Jg. 8, H. 8, S. 1-9. DOI:10.2196/19857
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Business Data Collection Methodology: Current State and Future Outlook
Bavdaž, Mojca, Ger Snijkers, Joseph Sakshaug, Türknur Brand, Gustav Haraldsen, Bilal Kurban, Paulo Saraiva & Diane K. Willimack (2020): Business Data Collection Methodology: Current State and Future Outlook. In: Statistical Journal of the IAOS, Jg. 36, H. 3, S. 741-756. DOI:10.3233/SJI-200623