A literature review of methods to detect fabricated survey data

Research output: Preprint/documentation/report › Working paper

Contributors

  • Sebastian Bredl - (Author)
  • Nina Storfinger - (Author)
  • Natalja Menold - , Leibniz Institute for the Social Sciences (Author)

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

Details

Original languageEnglish
Number of pages25
Publication statusPublished - 1 Jan 2011
Externally publishedYes
No renderer: customAssociatesEventsRenderPortal,dk.atira.pure.api.shared.model.researchoutput.WorkingPaper

External IDs

ORCID /0000-0003-1106-474X/work/151436803

Keywords

Keywords

  • Interviewer falsification, quality control of survey data, reinterview, Social sciences