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dc.contributor.authorBredl, Sebastian
dc.contributor.authorWinker, Peter
dc.contributor.authorKötschau, Kerstin
dc.date.accessioned2022-08-10T13:50:57Z
dc.date.available2009-01-28T15:21:11Z
dc.date.available2022-08-10T13:50:57Z
dc.date.issued2008
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:hebis:26-opus-68033
dc.identifier.urihttps://jlupub.ub.uni-giessen.de//handle/jlupub/6350
dc.identifier.urihttp://dx.doi.org/10.22029/jlupub-5801
dc.description.abstractSurvey data are potentially affected by cheating interviewers. Even a small number of fabricated interviews might seriously impair the results of further empirical analysis. Besides reinterviews some statistical approaches have been proposed for identifying fabrication of interviews. As a novel tool in this context, cluster and discriminant analysis are used. Several indicators are combined to classify "at risk" interviewers based solely on the collected data. An application to a dataset with known cases of cheating interviewers demonstrates that the methods are able to identify the cheating interviewers with a high probability. The multivariate classification is superior to the application of a single indicator such as Benford's law.de_DE
dc.language.isoende_DE
dc.relation.ispartofseriesDiscussion papers / Zentrum für Internationale Entwicklungs- und Umweltforschung; 39
dc.rightsNamensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/de/*
dc.subjectCheating interviewersen
dc.subjectBenford's lawen
dc.subjectcluster analysisen
dc.subjectdata fabricationen
dc.subject.ddcddc:630de_DE
dc.titleA statistical approach to detect cheating interviewersde_DE
dc.typeworkingPaperde_DE
local.affiliationZEU Zentrum für internationale Entwicklungs- und Umweltforschungde_DE
local.opus.id6803
local.opus.instituteZentrum für internationale Entwicklungs- und Umweltforschungde_DE
local.opus.fachgebietZentrum für internationale Entwicklungs- und Umweltforschungde_DE


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