Quality Assessment and Improvement Methods in Statistics – what Works?
Several methods for quality assessment and assurance in statistics have been developed in a European context. Data Quality Assessment Methods (DatQAM) were considered in a Eurostat handbook in 2007. These methods comprise quality reports and indicators, measurement of process variables, user surveys...
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| Format: | Article |
| Language: | English |
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Czech Statistical Office
2014-12-01
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| Series: | Statistika: Statistics and Economy Journal |
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| Online Access: | http://www.czso.cz/csu/2014edicniplan.nsf/engc/B00044A20E/$File/32019714q4005.pdf |
| Summary: | Several methods for quality assessment and assurance in statistics have been developed in a European context. Data Quality Assessment Methods (DatQAM) were considered in a Eurostat handbook in 2007. These methods comprise quality reports and indicators, measurement of process variables, user surveys, self-assessments, audits, labelling and certifi cation. The entry point for the paper is the development of systematic quality work in European statistics with regard to good practices such as those described in the DatQAM handbook. Assessment is one issue, following up recommendations and implementation of improvement actions another. This leads to a discussion on the eff ect of approaches and tools: Which work well, which have turned out to be more of a challenge, and why? Examples are mainly from Statistics Norway, but these are believed to be representative for several statistical institutes. |
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| ISSN: | 1804-8765 1804-8765 |