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RECONCILIATION OF CURF DATA AGAINST PUBLISHED ESTIMATES
As a result, data on the CURF will not exactly match other previously published estimates. Any changes to the distribution of values are not significant and the statistical validity of aggregate data has not been affected.
Further documentation about data item code values and category labels on each level of the PSS CURF, with weighted and unweighted frequencies for each value are also available on the RADL:
This information can be used by registered CURF users to reconcile and confirm that any data extracted from the CURF has included the correct records.
In addition, an example table has also been included on the RADL: Example Tables PSS12 CURF.xls . This document includes an example table (for each level of the file) of: the weighted estimates; the sample counts; and the relative standards errors calculated from the CURF for at least one item on each level. This document will allow CURF users to check that they are extracting the correct data for any particular level from the CURF and are calculating the associated RSEs correctly.
These documents will be presented in a new window.