Statistical identification of fraudulent interviews in surveys: Improving interviewer controls

Schwanhäuser, Silvia ; Sakshaug, Joseph W. ; Kosyakova, Yuliya ; Kreuter, Frauke

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Document Type: Book chapter
Year of publication: 2020
Book title: Interviewer effects from a total survey error perspective
Page range: 91-106
Publisher: Olson, Kristen ; Smyth, Jolene D. ; Dykema, Jennifer ; Holbrook, Allyson L. ; Kreuter, Frauke ; West, Brady T.
Place of publication: Boca Raton
Publishing house: Chapman and Hall/CRC
ISBN: 978-0-36789631-7 , 978-1-00-302021-9 , 978-1-00006447-6 , 978-1-00-006446-9 , 978-1-00-006445-2
Publication language: English
Institution: Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department A
School of Social Sciences > Statistik u. Sozialwissenschaftliche Methodenlehre (Kreuter 2014-2020)
Subject: 300 Social sciences, sociology, anthropology
Abstract: Survey data are important for establishing new insights in many disciplines such as sociology, economics, and others. This chapter provides a broad overview of statistical methods for identifying interviewer falsification and demonstrating promising statistical identification strategies using data from a large-scale refugee survey in Germany that includes confirmed falsifications. In practice, non-statistical strategies for detecting falsifications are usually part of standard quality control methods. Some approaches are used during the field period, while others are used after all interviews have been conducted. Interview monitoring, mainly applied in telephone surveys, is another commonly used procedure for identifying falsifiers, which also serves as a deterrent to interviewers. To illustrate the statistical identification tools, the following indicators are considered: acquiescent response style, extreme response style, interview duration, middle response style, recency effects, semi-open responses, and stereotyping. Statistical identification methods have been demonstrated to be effective and are becoming increasingly popular tools for identifying falsified interviews in surveys.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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BASE: Schwanhäuser, Silvia ; Sakshaug, Joseph W. ; Kosyakova, Yuliya ; Kreuter, Frauke

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ORCID: Schwanhäuser, Silvia, Sakshaug, Joseph W., Kosyakova, Yuliya and Kreuter, Frauke ORCID: ["search_editors_ORCID" not defined] Olson, Kristen, Smyth, Jolene D., Dykema, Jennifer, Holbrook, Allyson L., Kreuter, Frauke ORCID: and West, Brady T.

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