Publikationen: Kompetenzzentrum Empirische Methoden (KEM)
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Measuring and controlling for non-consent bias in linked survey and administrative data
Sakshaug, Joseph (2021): Measuring and controlling for non-consent bias in linked survey and administrative data. In: A. Y. Chun, M. D. Larsen, G. Durrant & J. Reiter (Eds.) (2021): Administrative records for survey methodology, Hoboken, Wiley S. 155-178, akzeptiert am 17.06.2019.
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The effect of nonresponse and measurement error on wage regression across survey modes
Kirchner, Antje & Barbara Felderer (2017): The effect of nonresponse and measurement error on wage regression across survey modes. A validation study. 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, S. 531-556, akzeptiert am 12.04.2014.
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The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse
Pashazadeh, F., Alexandru Cernat & Joseph Sakshaug (2021): The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse. In: P. Lynn (Ed.) (2021): Advances in Longitudinal Survey Methodology, S. 100-121, akzeptiert am 05.01.2020.
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Collection of biomeasures in a cross-national setting
Weiss, Luzia M., Joseph Sakshaug & Axel Börsch-Supan (2018): Collection of biomeasures in a cross-national setting. Experiences in SHARE. In: T. P. Johnson, B.- E. Pennell, I. Stoop & B. Dorer (Hrsg.) (2018): Advances in comparative survey methods : multinational, multiregional and multicultural contexts (3MC), S. 623-642, akzeptiert am 04.03.2018.
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Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs
Sakshaug, Joseph, Arkadiusz Wiśniowski, Diego Perez-Ruiz & Annelies Blom (2021): Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs. In: T. Rudas & G. Péli (eds.) (2021): Pathways between social science and computational social science, Springer S. 71-93, akzeptiert am 13.01.2020. DOI:10.1007/978-3-030-54936-7_4
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Producing Official Statistics during the COVID-19 Pandemic
Jones, Jacqui, Luisa Ryan, AJ Lanyon, Marie Apostolou, Tanya Price, Corinna König, Marieke Volkert, Joseph Sakshaug, Dane Mead, Helen Baird, Duncan Elliott & Craig H. McLaren (2023): Producing Official Statistics during the COVID-19 Pandemic. In: G. Snijkers, M. Bavdaž, S. Bender, S. MacFeely, J. Sakshaug, K. J. Thompson & A. v. Delden (Hrsg.) (2023): Advances in Business Statistics, Methods and Data Collection, S. 225-264, akzeptiert am 04.02.2022.
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Investigating the use of nurse paradata in understanding nonresponse to biological data collection
Pashazadeh, Fiona, Alexandru Cernat & Joseph Sakshaug (2020): Investigating the use of nurse paradata in understanding nonresponse to biological data collection. 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, akzeptiert am 02.01.2020.
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Integrating survey and learning analytics data for a better understanding of engagement in MOOCs
Samoilova, Evgenia, Florian Keusch & Frauke Kreuter (2018): Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In: H. Jiao, R. W. Lissitz & A. V. Wie (Hrsg.) (2018): Data analytics and psychometrics : Informing assessment practices, Charlotte, N.C., Information Age Publishing S. 247-261, akzeptiert am 01.03.2018.