Gray, A 
ORCID: 0000-0002-1150-2052
(2026)
Bayesian comparative judgement in the wild.
In: Royal Statistical Society International Conference, 7-10 September 2026, Bournemouth, UK.
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Abstract
Comparative judgement (CJ) is a powerful method used extensively across the social sciences to tackle difficult measurement problems that evade other approaches. At heart it involves asking participants to select the better of pairs of presented objects, and then modelling their binary decisions to produce a measurement scale. CJ approaches are used to study wide ranging issues from the prevalence of abuse through to mathematical beauty.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Note: | Contributors to this presentation were Alma Rahat, Tom Crick and Stephen Lindsay. This presentation was part of an invited session called 'Comparative judgement: stimulating methodological developments' which was the culmination of an EPSRC Discipline Hopping Grant that brought statisticians and social scientists together to stimulate methodological developments and identify future directions for research. The focus throughout the session was current developments in statistical modelling to support the ever-growing potential of CJ to tackle difficult measurement problems across disciplines. The discussant for the session was Rowland Seymour. |
| UN SDGs: | Goal 4: Quality Education Goal 9: Industry, Innovation and Infrastructure Goal 10: Reduced Inequalities |
| Subjects: | L Education > L Education (General) T Technology > T Technology (General) |
| Divisions: | School of Design |
| Related URLs: | |
| Date Deposited: | 01 Oct 2026 11:28 |
| Last Modified: | 01 Oct 2026 11:28 |
| URN: | https://researchspace.bathspa.ac.uk/id/eprint/17940 |
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