A statistical approach to detect cheating interviewers
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- Josten Michael & Trappmann Mark, 2016. "Interviewer Effects on a Network-Size Filter Question," Journal of Official Statistics, De Gruyter Open, vol. 32(2), pages 349-373, June.
- 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, De Gruyter Open, vol. 32(3), pages 643-660, September.
- Schräpler Jörg-Peter, 2011.
"Benford’s Law as an Instrument for Fraud Detection in Surveys Using the Data of the Socio-Economic Panel (SOEP),"
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik),
De Gruyter, vol. 231(5-6), pages 685-718, October.
- Jörg-Peter Schräpler, 2010. "Benford's Law As an Instrument for Fraud Detection in Surveys Using the Data of the Socio-Economic Panel (SOEP)," SOEPpapers on Multidisciplinary Panel Data Research 273, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Michael Spagat, 2010. "Estimating the Human Costs of War: The Sample Survey Approach," HiCN Research Design Notes 14, Households in Conflict Network.
- Finn, Arden & Ranchhod, Vimal, 2013. "Genuine Fakes: The prevalence and implications of fieldworker fraud in a large South African survey," SALDRU Working Papers 115, Southern Africa Labour and Development Research Unit, University of Cape Town.
- 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).
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Keywordscheating interviewers; Benford's law; cluster analysis; data fabrication;
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