Long abstract

Education at a Glance: OECD Indictators - 2003: Coding of Missing Data (UOE source)

The correct use of the missing codes is an essential condition to ensure the integrity of the data. Different reasons why there are no data in a particular instance need to be distinguished in the statistical analyses and the reports and must therefore be distinguished in the data tables.
 Each cell for which there is no valid data value must be assigned one of the following five missing codes:
• category not applicable (a);
• data included in other categories (x, xr:..., xc:..., xa:...);
• data not available (m);
• data value nil (n);
• data value negligible (n...).

How are students faring in science today?

Volume 1 - Analysis: Gives the most comprehensive international picture of science learning today. Volume 2 - Data: Presents the PISA 2006 full data set underlying Volume 1.

PISA 2006 results - Analysis and Data