how HESA normalises black, mixed and other ethnic group graduates to reduce their impact by a quarter! http://bit.ly/gsVwv
Or, at least that is one possible reading of this following example from HESA's Guidelines for the use of the DLHE Longitudinal Survey Dataset.
To illustrate how this is done: Black, mixed and other ethnic group graduates accounted for 21.9% of the selected Sample A. From the initial census it is known that these graduates represent just 4.9% of all graduates To ensure that these graduates feature in the analysis in their correct proportion, the 'black', 'mixed ethnic group' and 'other ethnicity' graduates in the sample would be given a weight of 4.9/21.9.
You mean weight the black results by 5/20 because there were too many of them? How was the sample A selected? What is the correct proportion? Maybe this was something they cared about? This is a small example of how marginalised groups may appear to have to work five times as hard just to be level.
