Comparative Judgement Modeling to Map Forced Marriage at Local Levels

• DOI: 10.48550/arxiv.2212.01202
• Publication Date: 2022-01-01
• Authors: Seymour, R. G.; Nyarko-Agyei, A.; McCabe, H. R.; Severn, K.; Kypraios, T.; Sirl, D.; Taylor, A.
• Keywords: FOS: Computer and information sciences; 02 engineering and technology; 62G05, 62P25, 62-08; 16. Peace & justice; Statistics - Applications; Statistics - Computation; Methodology (stat.ME); 5. Gender equality; 0202 electrical engineering, electronic engineering, information engineering; Applications (stat.AP); 10. No inequality; Statistics - Methodology; Computation (stat.CO)

Author Accepted Manuscript<br/>Forcing someone into marriage against their will is a violation of their human rights. In 2021, the county of Nottinghamshire, UK, launched a strategy to tackle forced marriage and violence against women and girls. However, accessing information about where victims are located in the county could compromise their safety, so it is not possible to develop interventions for different areas of the county. Comparative judgement studies offer a way to map the risk of human rights abuses without collecting data that could compromise victim safety. Current methods require studies to have a large number of participants, so we develop a comparative judgement model that provides a more flexible spatial modelling structure and a mechanism to schedule comparisons more effectively. The methods reduce the data collection burden on participants and make a comparative judgement study feasible with a small number of participants. Underpinning these methods is a latent variable representation that improves on the scalability of previous comparative judgement models. We use these methods to map the risk of forced marriage across Nottinghamshire thereby supporting the county's strategy for tackling violence against women and girls.<br/>