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A literature review of methods to detect fabricated survey data

Author

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  • Bredl, Sebastian
  • Storfinger, Nina
  • Menold, Natalja

Abstract

This paper reviews literature dealing with the issue of detecting interviewers who falsify survey data. The most reliable method of detecting falsifiers is through face-to-face reinterviewing of survey participants. However, only a limited number of participants can usually be reinterviewed. A review of the present literature clearly indicates that reinterviewing is more effective if the reinterview sample is put together according to some indicators that might be based on metadata, survey data or interviewer characteristics. We examine existing literature with regard to the suitability of different types of indicators that have been used in this context.

Suggested Citation

  • Bredl, Sebastian & Storfinger, Nina & Menold, Natalja, 2011. "A literature review of methods to detect fabricated survey data," Discussion Papers 56, Justus Liebig University Giessen, Center for international Development and Environmental Research (ZEU).
    • Handle: RePEc:zbw:zeudps:56
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    Citations

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    Cited by:

    1. De Haas Samuel & Winker Peter, 2016. "Detecting Fraudulent Interviewers by Improved Clustering Methods – The Case of Falsifications of Answers to Parts of a Questionnaire," Journal of Official Statistics, Sciendo, vol. 32(3), pages 643-660, September.
    2. Kerstin Ruckdeschel & Lenore Sauer & Robert Naderi, 2016. "Reliability of retrospective event histories within the German Generations and Gender Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(11), pages 321-358.
    3. Storfinger, Nina & Winker, Peter, 2011. "Robustness of clustering methods for identification of potential falsifications in survey data," Discussion Papers 57, Justus Liebig University Giessen, Center for international Development and Environmental Research (ZEU).
    4. Mario Gyori & Tatiana Martínez Zavala & Jessica Baier & Maria Hernandez & Sofie Olsson & Alexis Lefevre, 2017. "Social and Behaviour Change Communication (SBCC) project in Manica, Mozambique: baseline survey report," Working Papers 162, International Policy Centre for Inclusive Growth.
    5. Kosyakova, Yuliya & Olbrich, Lukas & Sakshaug, Joseph & Schwanhäuser, Silvia, 2019. "Identification of interviewer falsification in the IAB-BAMF-SOEP Survey of Refugees in Germany," FDZ Methodenreport 201902_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    More about this item

    Keywords

    interviewer falsification; quality control of survey data; reinterview;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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