| dbo:abstract
|
- In statistics, non-sampling error is a catch-all term for the deviations of estimates from their true values that are not a function of the sample chosen, including various systematic errors and random errors that are not due to sampling. Non-sampling errors are much harder to quantify than sampling errors. Non-sampling errors in survey estimates can arise from:
* Coverage errors, such as failure to accurately represent all population units in the sample, or the inability to obtain information about all sample cases;
* Response errors by respondents due for example to definitional differences, misunderstandings, or deliberate misreporting;
* Mistakes in recording the data or coding it to standard classifications;
* Pseudo-opinions given by respondents when they have no opinion, but do not wish to say so
* Other errors of collection, nonresponse, processing, or imputation of values for missing or inconsistent data. An excellent discussion of issues pertaining to non-sampling error can be found in several sources such as Kalton (1983) and Salant and Dillman (1995), (en)
|
| dbo:wikiPageID
| |
| dbo:wikiPageLength
|
- 2373 (xsd:nonNegativeInteger)
|
| dbo:wikiPageRevisionID
| |
| dbo:wikiPageWikiLink
| |
| dbp:wikiPageUsesTemplate
| |
| dcterms:subject
| |
| gold:hypernym
| |
| rdfs:comment
|
- In statistics, non-sampling error is a catch-all term for the deviations of estimates from their true values that are not a function of the sample chosen, including various systematic errors and random errors that are not due to sampling. Non-sampling errors are much harder to quantify than sampling errors. Non-sampling errors in survey estimates can arise from: An excellent discussion of issues pertaining to non-sampling error can be found in several sources such as Kalton (1983) and Salant and Dillman (1995), (en)
|
| rdfs:label
| |
| owl:sameAs
| |
| prov:wasDerivedFrom
| |
| foaf:isPrimaryTopicOf
| |
| is dbo:wikiPageRedirects
of | |
| is dbo:wikiPageWikiLink
of | |
| is foaf:primaryTopic
of | |
