Comparative judgement modelling to map forced marriage at local levels

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.

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Publication Details

Journal
The Annals of Applied Statistics
Published
2025-03-01
DOI
https://doi.org/10.1214/24-aoas1966
Citations
1
Primary Topic
Demographic Trends and Gender Preferences
Type
article
Field-Weighted Citation Impact
3.87

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article

Comparative judgement modelling to map forced marriage at local levels

Helen McCabe, Albert Nyarko-Agyei, Rowland G. Seymour, David Sirl et al.
1 citations
The Annals of Applied Statistics
Demographic Trends and Gender Preferences
3.87
article

Comparative judgement modelling to map forced marriage at local levels

Helen McCabe, Albert Nyarko-Agyei, Rowland G. Seymour, David Sirl, Katie E. Severn, Adam J. Taylor, Theodore Kypraios
article en
1 citations

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.

The Annals of Applied StatisticsVol. 19(1)
University of Nottingham (GB), University of Birmingham (GB)
UK Research and Innovation, Engineering and Physical Sciences Research Council, Research England
Gender equality
Openalex Percentile: Top 10%
Demographic Trends and Gender Preferences
3.87
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