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Crescenza Calculli

Publications and source records attributed to Crescenza Calculli.

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Violence Against Women: a pilot study on the perception of Apulian High school students

Violence Against Women (VAW) is a widespread issue deeply rooted in social and cultural structures. Affecting women of all ages and backgrounds, VAW is often underreported due to stigma and victim-blaming. This study explores young people's perceptions of VAW in the Apulia region (Southern Italy), using a local survey inspired by a National framework on gender stereotypes and attitudes towards VAW. The survey gathers insights into youth opinions on gender roles, the acceptability of violence, and awareness of VAW within their communities, aiming to uncover the underlying attitudes that perpetuate this issue. The analysis combines two methodological approaches to examine these data. A network-based approach explores relationships within item responses, allowing for an in-depth look at the direct interactions among youth attitudes. This approach is paired with a psychometric model based on Item Response Theory, specifically the Graded Response Model, which interprets attitudes as manifestations of latent traits, revealing how different factors shape perceptions of VAW. Together, these methods offer a comprehensive analysis of young people's views on VAW, highlighting both individual response patterns and broader cultural trends essential for designing effective interventions. Findings indicate a gradual shift in attitudes toward gender roles; however, traditional views remain prevalent, especially among young males. Socioeconomic factors, such as parents' employment status, also contribute to the persistence of stereotypes, underscoring the need for targeted interventions to address and reduce VAW in youth populations.

stat.AP

Investigating access to support centers for Violence Against Women in Apulia: A Spatial analysis over multiple years

In this study, we address the challenge of modelling the spatial variability in violence against women across municipalities in a Southern Italian region by proposing a Bayesian spatio-temporal Poisson regression model. Using data on access to Local Anti-Violence Centers in the Apulia region from 2021 to 2024, we investigate the impact of municipality-level socioeconomic characteristics and local vulnerabilities on both the incidence and reporting of gender-based violence. To explicitly account for spatial dependence, we compare four spatial models within the Integrated Nested Laplace Approximation framework for Bayesian model estimation. We assess the relative fit of the competing models, discussing their prior assumptions, spatial confounding effects, and inferential implications. Our findings indicate that access to support services decreases with distance from the residential municipality, highlighting spatial constraints in reporting and the strategic importance of support center location. Furthermore, lower education levels appear to contribute to under-reporting in disadvantaged areas, while higher economic development may be associated with a lower incidence of reported violence. This study emphasises the critical role of spatial modelling in capturing reporting dynamics and informing policy interventions.

stat.AP