Projects per year
Abstract
Forcing someone into marriage against their will is a violation of their human rights. In 2021, the county of Nottinghamshire, U.K., launched a strategy to tackle forced marriage and violence against women and girls. We set out to map the risk of forced marriage across the county to support the strategy and enable the development of local interventions. However, there was no centralised database for forced marriage in the county and carrying out a survey using standard survey methods was unlikely to produce robust results due to the hidden nature of this crime. Comparative judgement provides a survey design that can map the risk of forced marriage through pairwise comparisons. Current comparative judgement models require studies to have a large number of participants, so we developed a more flexible spatial modelling structure and a mechanism to schedule comparisons more effectively. The proposed modelling structure reduced the data collection burden and made a comparative judgement study feasible with a small number of participants. Underpinning this structure is a latent variable representation that improves on the scalability of inferential procedures of previous comparative judgement models. We used these methods to map the risk of forced marriage across Nottinghamshire, thereby supporting the county’s strategy for tackling violence against women and girls.
Original language | English |
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Pages (from-to) | 419-439 |
Number of pages | 21 |
Journal | Annals of Applied Statistics |
Volume | 19 |
Issue number | 1 |
Early online date | 4 Nov 2024 |
DOIs | |
Publication status | Published - 17 Mar 2025 |
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Computational Statistics to Tackle Modern Slavery
Seymour, R. (Principal Investigator)
1/06/24 → 31/05/28
Project: Research
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EPSRC IAA (2022-25): Forced Marriage Local Authority Training
Seymour, R. (Principal Investigator) & Bradbury-Jones, C. (Co-Investigator)
Engineering & Physical Science Research Council
1/02/23 → 31/05/24
Project: Research Councils