Statistical techniques: to better measure effects within our research and the analysis of our data; learning from new methodologies to analyse and interrogate data, including clustering effects, multi-level modelling, power calculations for complex study designs and dealing with bias and paradox types that are highly prevalent in our datasets (self-selection and demographic bias; Simpson’s paradox and ecological correlations), missing information and low frequencies.
Background
To address evidence priorities set out in this ARI, we need to draw on a wide range of analytical and research methodologies, including the use of AI. We want to engage with researchers to enhance our scientific capability and explore how innovative methods can be applied to justice research and analysis.
Next steps
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Research fields
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