Comparability

Last modified by Artur on 2025/08/04 16:06


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Comparability

Extent to which differences between statistics can be attributed to differences between the true values of the statistical characteristics.

Comparability aims at measuring the impact of differences in applied statistical concepts and definitions on the comparison of statistics between geographical areas, non-geographical dimensions, or over time. Comparability of statistics, i.e. their usefulness in drawing comparisons and contrast among different populations, is a complex concept, difficult to assess in precise or absolute terms. In general terms, it means that statistics for different populations can be legitimately aggregated, compared and interpreted in relation to each other or against some common standard. Metadata must convey such information that will help any interested party in evaluating comparability of the data, which is the result of a multitude of factors. In some quality assurance frameworks, e.g. the European Statistics Code of Practice, comparability is strictly associated with the coherence of statistics.

Attribute, Statistical concepts and definitions, Dimension, Quality management - quality assurance, Coherence

http://purl.org/linked-data/sdmx/2009/concept#comparability

urn:sdmx:org.sdmx.infomodel.conceptscheme.Concept=SDMX:CROSS_DOMAIN_CONCEPTS(2.0).COMPARABILITY

Recommended representation: String

Asymmetry for mirror flows statistics - coefficient, Coherence, Comparability - geographical, Comparability - over time

Used in the following terms: Coherence, Comparability - geographical, Comparability - over time, Quality management - quality documentation
Backlinks: 11 Annex 1 – Content Oriented Guidelines (COG), 4 Data and Metadata Creation and Reporting