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Detecting Fraudulent Interviewers by Improved Clustering Methods – The Case of Falsifications of Answers to Parts of a Questionnaire


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Althöfer, I. and K.-U. Koschnik. 1991. “On the Convergence of Threshold Accepting.” Applied Mathematics and Optimization 24: 183–195. Doi: http://dx.doi.org/10.1007/BF01447741.Search in Google Scholar

Baragona, R., F. Battaglia, and I. Poli. 2011. Evolutionary Statistical Procedures. Statistics and Computing. Heidelberg: Springer.10.1007/978-3-642-16218-3Search in Google Scholar

Bredl, S., N. Storfinger, and N. Menold. 2013. “A Literature Review of Methods to Detect Fabricated Survey Data.” In Interviewers’ Deviations in Surveys - Impact, Reasons, Detection and Prevention, edited by P. Winker, N. Menold, and R. Porst, 3–24. Frankfurt am Main: Peter Lang.Search in Google Scholar

Bredl, S., P. Winker, and K. Kötschau. 2012. “A Statistical Approach to Detect Interviewer Falsification of Survey Data.” Survey Methodology 38: 1–10.Search in Google Scholar

Crespi, L. 1945. “The Cheater Problem in Polling.” The Public Opinion Quarterly 9: 431–445.10.1086/265760Search in Google Scholar

De Haas, S. and P. Winker. 2014. “Identification of Partial Falsifications in Survey Data.” Statistical Journal of the IAOS 30: 271–281. Doi: http://dx.doi.org/10.3233/SJI-140834.Search in Google Scholar

Efron, B. 1979. “Bootstrap Methods: Another Look at the Jackknife.” The Annals of Statistics 7: 1–26. Doi: http://dx.doi.org/10.1214/aos/1176344552.Search in Google Scholar

Efron, B. 1982. The Jackknife, the Bootstrap, and Other Resampling Plans. CBMS-NSF Regional Conference Series in Applied Mathematics, vol. 38. Doi: http://dx.doi.org/10.1137/1.9781611970319.Search in Google Scholar

Finn, A. and V. Ranchhod. 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. Available at: http://ideas.repec.org/p/ldr/wpaper/115.html (accessed October 22, 2015).Search in Google Scholar

Forsman, G. and I. Schreiner. 1991. “The Design and Analysis of Reinterview: An Overview.” In Measurement Errors in Surveys, edited by P. Biemer, R. Groves, L. Lyberg, N. Mathiowetz, and S. Sudman, 279–301. Chichester: Wiley. Doi: http://dx.doi.org/10.1002/9781118150382.ch15.Search in Google Scholar

Gilli, M., D. Maringer, and E. Schumann. 2011. Numerical Methods and Optimization in Finance. Waltham, MA: Academic Press.10.1016/B978-0-12-375662-6.00010-9Search in Google Scholar

Gwartney, P. 2013. “Mischief Versus Mistakes: Motivating Interviewers to not Deviate.” In Interviewers’ Deviations in Surveys - Impact, Reasons, Detection and Prevention, edited by P. Winker, N. Menold, and R. Porst, 195–215. Frankfurt am Main: Peter Lang.Search in Google Scholar

Hood, C. and M. Bushery. 1997. “Getting More Bang from the Reinterviewer Buck: Identifying ‘at Risk’ Interviewers.” In Proceedings of the Survey Research Methods Section: American Statistical Association, August 10th to 14th 1997, Anaheim, CA, 820 – 824. Available at: https://www.amstat.org/sections/srms/Proceedings/papers/1997_141.pdf (accessed October 22, 2015).Search in Google Scholar

Kemper, C. and N. Menold. 2014. “Nuisance or Remedy? The Utility of Stylistic Responding as an Indicator of Data Fabrication in Surveys.” Methodology: European Journal of Research Methods for the Behavioral and Social Sciences 10: 92–99. Doi: http://dx.doi.org/10.1027/1614-2241/a000078.Search in Google Scholar

Kemper, C., V. Trofimow, B. Rammstedt, and N. Menold. 2011. “Indicators for the ex post Detection of Faking in Survey Data Constructed from Responses to the Big Five Inventory-10 (BFI-10).” Poster presented at the 11th European Conference on Psychological Assessment, date of conference, Riga, Latvia. Available at: http://www.ecpa11.lu.lv/files/KemperChristoph.pdf (accessed October 22, 2015).10.1037/e523472012-152Search in Google Scholar

Krosnick, J. and D. Alwin. 1987. “An Evaluation of a Cognitive Theory of Response Order Effects in Survey Measurement.” Public Opinion Quarterly 51: 201–219. Doi: http://dx.doi.org/10.1086/269029.Search in Google Scholar

Matthews, B. 1975. “Comparison of the Predicted and Observed Secondary Structure of t4 Phage Lysozyme.” Biochimica et Biophysica Acta 405: 442–451. Doi: http://dx.doi.org/10.1016/0005-2795(7590109-9).Search in Google Scholar

Menold, N. and C. Kemper. 2014. “How Do Real and Falsified Data Differ? Psychology of Survey Response as a Source of Falsification Indicators in Face-to-Face Surveys.” International Journal of Public Opinion Research 26: 41–65. Doi: http://dx.doi.org/10.1093/ijpor/edt017.Search in Google Scholar

Menold, N., P. Winker, N. Storfinger, and C. Kemper. 2013. “A Method for ex-post Identification of Falsifications in Survey Data.” In Interviewers’ Deviations in Surveys – Impact, Reasons, Detection and Prevention, edited by P. Winker, N. Menold, and R. Porst, 25–47. Frankfurt am Main: Peter Lang.Search in Google Scholar

Messick, S. 1967. “The Psychology of Acquiescence, an Interpretation of Research Evidence.” In Response Set in Personality Assessment, edited by I. Berg. Chicago: Aldine Publishing Company. Doi: http://dx.doi.org/10.1002/j.2333-8504.1966.tb00357.x.Search in Google Scholar

Porras, J. and N. English. 2004. “Data-Driven Approaches to Identifying Interviewer Data Falsification: The Case of Health Surveys.” In Proceedings of the Survey Research Methods Section: American Statistical Association, August 8th to 12th 2004, Toronto, 4223–4228. Available at: http://www.amstat.org/sections/srms/Proceedings/y2004/files/Jsm2004-000879.pdf (accessed October 23, 2015).Search in Google Scholar

Reuband, K.-H. 1990. “Interviews, die keine sind, ‘Erfolge’ und ‘Mißerfolge’ beim Fälschen von Interviews.” Kölner Zeitschrift für Soziologie und Sozialpsychologie 42: 706–733.Search in Google Scholar

Schäfer, C., J. Schräpler, K. Müller, and G. Wagner. 2005. “Automatic Identification of Faked and Fraudulent Interviews in the German SOEP.” Schmollers Jahrbuch 125: 183–193.10.3790/schm.125.1.183Search in Google Scholar

Storfinger, N. and M. Opper. 2011. “Datenbasierte Indikatoren für potentiell abweichendes Interviewerverhalten.” Discussion Paper 58, ZEU, September 2011, Giessen. Available at: http://geb.uni-giessen.de/geb/volltexte/2012/8559/pdf/ZeuDiscPap58.pdf (accessed October 23, 2015).Search in Google Scholar

Storfinger, N. and P. Winker. 2013. “Assessing the Performance of Clustering Methods in Falsification Using Bootstrap.” In Interviewers’ Deviations in Surveys - Impact, Reasons, Detection and Prevention, edited by P. Winker, N. Menold, and R. Porst, 49–65. Frankfurt am Main: Peter Lang.Search in Google Scholar

Tourangeau, R., K. Rasinski, J. Jobe, B. Jared, T. Smith, and W. Pratt. 1997. “Sources of Error in a Survey on Sexual Behavior.” Journal of Official Statistics 13: 341–365.Search in Google Scholar

Verbiest, N., K. Vermeulen, and A. Teresdai. 2015. “Evaluation of Classification Methods.” In Data Classification – Algorithms and Applications, edited by C. Aggarwal, 633–655. Boca Raton, FL: CRC Press.Search in Google Scholar

Winker, P. 2001. Optimization Heuristics in Econometrics: Applications of Threshold Accepting. Chichester: Wiley.Search in Google Scholar

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