Publications: Statistical Methods (KEM)
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Measuring and controlling for non-consent bias in linked survey and administrative data
Sakshaug, J. (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 p. 155-178, accepted on June 17, 2019.
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The effect of nonresponse and measurement error on wage regression across survey modes
Kirchner, A. & Felderer, B. (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, p. 531-556, accepted on April 12, 2014.
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The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse
Pashazadeh, F., Cernat, A. & Sakshaug, J. (2021): The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse. In: P. Lynn (Ed.) (2021): Advances in Longitudinal Survey Methodology, p. 100-121, accepted on January 05, 2020.
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Collection of biomeasures in a cross-national setting
Weiss, L., Sakshaug, J. & Börsch-Supan, A. (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), p. 623-642, accepted on March 04, 2018.
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Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs
Sakshaug, J., Wiśniowski, A., Perez-Ruiz, D. & Blom, A. (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 p. 71-93, accepted on January 13, 2020. DOI:10.1007/978-3-030-54936-7_4
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Producing Official Statistics during the COVID-19 Pandemic
Jones, J., Ryan, L., Lanyon, A., Apostolou, M., Price, T., König, C., Volkert, M., Sakshaug, J., Mead, D., Baird, H., Elliott, D. & McLaren, C. (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, p. 225-264, accepted on February 04, 2022.
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Investigating the use of nurse paradata in understanding nonresponse to biological data collection
Pashazadeh, F., Cernat, A. & Sakshaug, J. (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, accepted on January 02, 2020.
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Integrating survey and learning analytics data for a better understanding of engagement in MOOCs
Samoilova, E., Keusch, F. & Kreuter, F. (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 p. 247-261, accepted on March 01, 2018.