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Identification of interviewer falsification in the IAB-BAMF-SOEP Survey of Refugees in Germany

Yuliya Kosyakova, Lukas Olbrich (), Joseph Sakshaug () and Silvia Schwanhäuser ()
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Lukas Olbrich: Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]
Joseph Sakshaug: Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]
Silvia Schwanhäuser: Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

No 201902_en, FDZ Methodenreport from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

Abstract: "Interviewer-administered surveys are susceptible to intentional deviant behavior by interviewers and this type of behavior is a potential source of survey error. One example of such deviant behaviour is the falsification of entire interviews, which can negatively impact data quality if such cases are not identified. Therefore, the development and application of falsification detection methods is important to ensure high quality data. However, methods of detecting falsification are usually evaluated using simulated or laboratory data instead of actual falsified data. This report examines the effectiveness of statistical identification methods for detecting falsifiers in the IAB-BAMF-SOEP Survey of Refugees in Germany, in which there was an actual case of interviewer fraud." (Author's abstract, IAB-Doku) ((en))

Keywords: Interviewereffekt; Datenqualität; Befragung; IAB-BAMF-SOEP-Befragung von Geflüchteten; statistische Methode; Prüfverfahren (search for similar items in EconPapers)
Pages: 33 pages
Date: 2019-04-04
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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabfme:201902_en

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