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NON-SAMPLING ERROR

Statistics Directorate    
French Equivalent: Erreur autre que d'échantillonnage

Definition:
An error in sample estimates which cannot be attributed to sampling fluctuations.

Context:
Non-sampling errors may arise from many different sources such as defects in the frame, faulty demarcation of sample units, defects in the selection of sample units, mistakes in the collection of data due to personal variations or misunderstanding or bias or negligence or dishonesty on the part of the investigator or of the interviewer, mistakes at the stage of the processing of the data, etc.

Source Publication:
The International Statistical Institute, “The Oxford Dictionary of Statistical Terms”, edited by Yadolah Dodge, Oxford University Press, 2003.

Cross References:
Estimate
Response errors (in household surveys)
Sampling error

Statistical Theme: Methodological information (metadata)

Glossary Output Segments:
SDMX

Created on Thursday, May 23, 2002

Last updated on Monday, December 19, 2005