Q

Qualitative Data

Data describing the attributes or properties that an object possesses. The properties are categorized into classes that may be assigned numeric values. However, there is no significance to the data values themselves, they simply represent attributes of the object concerned.

Source: UNECE Data Editing Group

Quality Control

- Quality Control of the data collection process assures that the underlying statistical assumptions of a survey are not violated, i.e. the meaning of the principal statistical measures and the assumptions which condition their use is maintained.

- Quality Control in data review process measures the impact of data adjustment on the data.

Source: UNECE Data Editing Group

Quantitative Data

Data expressing a certain quantity, amount or range. Usually, there are measurement units associated with the data, e.g. meters, in the case of the height of a person. It makes sense to set boundary limits to such data, and it is also meaningful to apply arithmetic operations to the data.

Source: UNECE Data Editing Group

Query Edit

Points to suspicious data items that may be in error. An example could be a value that, compared to historical data, seems suspiciously high. Contrast query edit to fatal edit where data item is known with certainty to be in error.

Source: UNECE Data Editing Group

Query Errors

Errors identified by query edits.

Source: UNECE Data Editing Group