‘The numbers speak for themselves’ is a phrase often linked to statistics supporting claims about the success (or otherwise) of policies. Quantitative data are usually viewed as objective and somehow exempt from the same critique that qualitative data faces. QuantCrit theory challenges these assumptions by considering how structural racism impacts on the use of statistics in research and evaluation. This paper applies QuantCrit to the Indigenous higher education policy context in the Northern Territory (NT), Australia. It aims to elicit hidden assumptions within the use of statistics to measure the success of Indigenous higher education policies in the NT. We explore the historical utility of Indigenous higher education student statistics for policy evaluation in the NT. We argue that quantitative success measures should always be considered within the context of the structural racism that shapes policy goals. We conclude by highlighting that quantitative data can be useful for Indigenous higher education policy evaluation and research, but that alternative views for measuring policy success must be considered.
|Number of pages||22|
|Journal||Race Ethnicity and Education|
|Early online date||27 Dec 2021|
|Publication status||Published - 2022|
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- higher education