Treffer 984
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Methods to Estimate Causal Effects
Collischon, Matthias (2022): Methods to Estimate Causal Effects. An Overview on IV, DiD and RDD and a Guide on How to Apply them in Practice. In: Soziale Welt, Jg. 73, H. 4, S. 713 -735. DOI:10.5771/0038-6073-2022-4-713
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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.
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Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies
Cernat, Alexandru & Joseph Sakshaug (2021): Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies. Current Practice and Issues. In: P. Lynn (Ed.) (2021): Advances in Longitudinal Survey Methodology, S. 227-249.
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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.