COMPARATIVE JUDGEMENT MODELLING TO MAP FORCED MARRIAGE AT LOCAL LEVELS

• 成果类型: Article
• 署名作者: Seymour, Rowland; Nyarko-Agyei, Albert; McCabe, Helen; Severn, Katie; Sirl, David; Kypraios, Theodore; Taylor, Adam
• 署名单位: University of Birmingham; University of Nottingham; University of Nottingham; University of Nottingham
• 刊物名称: ANNALS OF APPLIED STATISTICS
• ISSN/ISSBN: 1932-6157
• DOI: 10.1214/24-AOAS1966
• 发表日期: 2025
• 页码: 419-439
• 关键词: bayesian-inference

摘要

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.