Publikationen: Kompetenzzentrum Empirische Methoden (KEM)
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To Link or Synthesize? An Approach to Data Quality Comparison
Smith, Duncan, Mark Elliot & Joseph Sakshaug (2023): To Link or Synthesize? An Approach to Data Quality Comparison. In: Journal of Data and Information Quality, Jg. 15, H. 2, S. 1-20. DOI:10.1145/3580487
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Ethical Considerations for Augmenting Surveys with Auxiliary Data Sources
Struminskaya, Bella & Joseph Sakshaug (2023): Ethical Considerations for Augmenting Surveys with Auxiliary Data Sources. In: Public opinion quarterly, Jg. 87, H. S1, S. 619-633., akzeptiert am 21.04.2023. DOI:10.1093/poq/nfad030
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Augmenting Surveys with Paradata, Administrative Data, and Contextual Data
Sakshaug, Joseph & Bella Struminskaya (2023): Augmenting Surveys with Paradata, Administrative Data, and Contextual Data. In: Public opinion quarterly, Jg. 87, H. S1, S. 475-479., akzeptiert am 13.04.2023. DOI:10.1093/poq/nfad026
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Tracking country innovation performance: The Innovation Output Indicator 2022
Bello, Michela, Giulio Caperna, Giacomo Damioli, Oscar Smallenbroek & Maike Steffen (2023): Tracking country innovation performance: The Innovation Output Indicator 2022. (JRC technical report), Luxemburg: Publications Office of the European Union, 55 S. DOI:10.2760/346938
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Recent Advances in Data Integration
Sakshaug, Joseph & Rebecca C. Steorts (2023): Recent Advances in Data Integration. In: Journal of survey statistics and methodology, Jg. 11, H. 3, S. 513-517. DOI:10.1093/jssam/smad009
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Differential Privacy for Government Agencies - Are We There Yet?
Drechsler, Jörg (2023): Differential Privacy for Government Agencies - Are We There Yet? In: Journal of the American Statistical Association, Jg. 118, H. 541, S. 761-773. DOI:10.1080/01621459.2022.2161385
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Regionale Arbeitsmarktprognosen
Heining, Jörg, Daniel Jahn, Konstantin Körner, Anja Rossen, Christian Teichert & Antje Weyh (2024): Regionale Arbeitsmarktprognosen. Aktuelle Daten und Indikatoren. März 2024. (Institut für Arbeitsmarkt- und Berufsforschung. Aktuelle Daten und Indikatoren 01/2024 (de)), Nürnberg, 23 S. DOI:10.48720/IAB.RA.241
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Regional Labour Market Forecasts
Heining, Jörg, Daniel Jahn, Konstantin Körner, Anja Rossen, Christian Teichert & Antje Weyh (2024): Regional Labour Market Forecasts. Current Data and Indicators. March 2024. (Institut für Arbeitsmarkt- und Berufsforschung. Aktuelle Daten und Indikatoren 01/2024 (en)), Nürnberg, 22 S. DOI:10.48720/IAB.RA.241.en
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Studie zu Betrieben in der Covid-19-Krise (BeCovid)
Bellmann, Lutz, Miriam Gensicke, Patrick Gleiser, Josef Hartmann, Sophie Hensgen, Christian Kagerl, Theresa Koch, Corinna König, Eva Kleifgen, Sophie Künzel, Ute Leber, Michael Moritz, Laura Pohlan, Arnold Riedmann, Duncan Roth, Malte Schierholz, Jens Stegmaier, Alexandra Strauß, Nikolai Tschersich & Matthias Umkehrer (2023): Studie zu Betrieben in der Covid-19-Krise (BeCovid). (FDZ-Methodenreport 02/2023 (de)), Nürnberg, 67 S. DOI:10.5164/IAB.FDZM.2302.de.v1
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Transitioning an employee panel survey from telephone to online and mixed-mode data collection
Mackeben, Jan & Joseph Sakshaug (2023): Transitioning an employee panel survey from telephone to online and mixed-mode data collection. In: Statistical Journal of the IAOS, Jg. 39, H. 1, S. 213-232., akzeptiert am 06.12.2022. DOI:10.3233/SJI-220088
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Why using Google's reCAPTCHA to protect your survey against bots is a bad idea
Haas, Georg-Christoph (2023): Why using Google's reCAPTCHA to protect your survey against bots is a bad idea. In: medium.com H. 01.03.2023.
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River Sampling – a Fishing Expedition: A Non-Probability Case Study
Murray-Watters, Alexander, Stefan Zins, Henning Silber, Tobias Gummer & Clemens M. Lechner (2023): River Sampling – a Fishing Expedition: A Non-Probability Case Study. In: Methods, Data, Analyses, Jg. 17, H. 1, S. 3-28. DOI:10.12758/mda.2022.05
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Advances in Business Statistics, Methods and Data Collection
Snijkers, Ger, Mojca Bavdaž, Stefan Bender, Jacqui Jones, Steve MacFeely, Joseph Sakshaug, Katherine J. Thompson & Arnout van Delden (Hrsg.) (2023): Advances in Business Statistics, Methods and Data Collection. Chichester: Wiley, 856 S.
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Recent Findings from Experiments in Establishment Surveys
Langeland, Josh, Heather Ridolfo, Jaki McCarthy, Kathy Ott, Doug Kilburg, Karen CyBulski, Melissa Krakowiecki, Larry Vittoriano, Matt Potts, Benjamin Küfner, Joseph Sakshaug & Stefan Zins (2023): Recent Findings from Experiments in Establishment Surveys. 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. 437-467. DOI:10.1002/9781119672333.ch19
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Effects of mixing modes on nonresponse and measurement error in an economic panel survey
Sakshaug, Joseph, Jonas Beste & Mark Trappmann (2023): Effects of mixing modes on nonresponse and measurement error in an economic panel survey. In: Journal for labour market research, Jg. 57, akzeptiert am 05.12.2022. DOI:10.1186/s12651-022-00328-1
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Detecting Interviewer Fraud Using Multilevel Models
Olbrich, Lukas, Yuliya Kosyakova, Joseph Sakshaug & Silvia Schwanhäuser (2024): Detecting Interviewer Fraud Using Multilevel Models. In: Journal of survey statistics and methodology, Jg. 12, H. 1, S. 14-35. DOI:10.1093/jssam/smac036
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The Impact of Mixing Survey Modes on Estimates of Change: A Quasi-Experimental Study
Cernat, Alexandru & Joseph Sakshaug (2023): The Impact of Mixing Survey Modes on Estimates of Change: A Quasi-Experimental Study. In: Journal of survey statistics and methodology, Jg. 11, H. 5, S. 1110-1132., akzeptiert am 14.10.2022. DOI:10.1093/jssam/smac034
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The Impact of Survey Mode Design and Questionnaire Length on Measurement Quality
Cernat, Alexandru, Joseph Sakshaug, Pablo Christmann & Tobias Gummer (2022): The Impact of Survey Mode Design and Questionnaire Length on Measurement Quality. In: Sociological methods & research online erschienen am 04.12.2022, S. 1-50. DOI:10.1177/00491241221140139
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Analysing establishment survey non-response using administrative data and machine learning
Küfner, Benjamin, Joseph Sakshaug & Stefan Zins (2022): Analysing establishment survey non-response using administrative data and machine learning. In: Journal of the Royal Statistical Society. Series A, Statistics in Society, Jg. 185, H. Suppl. 2, S. S310-S342., akzeptiert am 23.07.2022. DOI:10.1111/rssa.12942
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Establishment survey participation during the COVID-19 pandemic
Küfner, Benjamin, Joseph Sakshaug & Stefan Zins (2022): Establishment survey participation during the COVID-19 pandemic. In: Journal for labour market research, Jg. 56, akzeptiert am 19.08.2022. DOI:10.1186/s12651-022-00321-8