Non-sampling error
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- https://purl.semanticip.org/linked-data/sdmx/concept/NONSAMPLING_ERR TTL
- Non-sampling error
Error in sample estimates which cannot be attributed to sampling fluctuations.
Non-sampling errors may arise from many different sources such as defects in the sampling frame, faulty demarcation of sample units, defects in the selection of sample units, mistakes in the collection of data due to personal variations, misunderstanding, bias, negligence or dishonesty on the part of the investigator or of the interviewer, mistakes at the stage of the processing of the data, etc. Non-sampling errors may be categorised as:
- Coverage errors (or frame errors) due to divergences between the target population and the frame population;
- Measurement errors occurring during data collection;
- Nonresponse errors caused by no data collected for a population unit or for some survey variables;
- Processing errors due to errors introduced during data entry, data editing, sometimes coding and imputation;
- Model assumption errors.
- Attribute, Coverage error, Measurement error, Imputation, Model assumption error
http://purl.org/linked-data/sdmx/2009/concept#nonsamplingErr
urn:sdmx:org.sdmx.infomodel.conceptscheme.Concept=SDMX:CROSS_DOMAIN_CONCEPTS(2.0).NONSAMPLING_ERR
Recommended representation: String
- Accuracy, Accuracy - overall, Coverage error, Measurement error, Over-coverage rate, Sampling error
Used in the following terms: -
Backlinks: 11 Annex 1 – Content Oriented Guidelines (COG)