The Detection of Unreliable Data in Survey Database 


Vol. 12,  No. 4, pp. 657-662, Aug.  2005
10.3745/KIPSTD.2005.12.4.657


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  Abstract

The Non-Sampling Error can happen any time by means of the intended or unintended error by the interviewer or respondent, but it is very difficult to find the error in survey database because it can hardly be computed mathematically and systematically. Until now, we have found it accidentally through the simple relation between the items or through the inspection from the random field. Therefore we introduced an heuristic methodology that can detect the interviewer's error by statistical decision-making or data mining techniques with a case study. It will be helpful so as to improve the statistical quality and provide efficient field management for the supervisor.

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  Cite this article

[IEEE Style]

L. N. Byon and J. H. Han, "The Detection of Unreliable Data in Survey Database," The KIPS Transactions:PartD, vol. 12, no. 4, pp. 657-662, 2005. DOI: 10.3745/KIPSTD.2005.12.4.657.

[ACM Style]

Lu Na Byon and Jeong Hye Han. 2005. The Detection of Unreliable Data in Survey Database. The KIPS Transactions:PartD, 12, 4, (2005), 657-662. DOI: 10.3745/KIPSTD.2005.12.4.657.

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