Wednesday, May 6, 2020

Article Review on Measuring Violence Against Women-Free Samples

Question: Measuring Violence Against Women Statistical Trends? Answer: Introducation: This article provides a complete picture of violence against women as well as girls. With the new and emerging issues that are evolving in recent times, there is a data gap present that exists such as trafficking in persons, increased emphasis upon building evidence on matters relating to promising prevention and the intervention practices. The emerging issues identified are cyber-violence. Violence against women has been identified at both national as well as international level and has become one of the serious concerns that are obstruction to gender equality and women human rights and fundamental freedoms. It needs considerate the different proportions of the specific global trouble through data collection as well as analysis where the decision makers aims at developing and evaluating the measures that is designed to prevent and eliminate violence against women (Donohoe 2016). The article is organized in various sections that explain the incidence and rigorousness of violence agai nst women, identifying the risk factors that are connected with violence against women. As rightly put forward by Sinha (2013), measures are generally has gender-specific data analysis that help in addressing the factors in association with violence in and against girls and women and need of victims. The analysis mainly tracks in violence in and against women over time that acts as an indicator of whether the circumstances of violence have worsened in Canada. Adding to that, the section will be examining the situation of violence against women that are victim and highlights the gendered dimension of the issue of violence against women. This mainly takes into consideration various violence like intimate partner violence, criminal harassment and sexual assault. In this case, the statistical data used are generated from police reports (Dillon et al. 2013). There are various risk facts in association with violence against women. In that case, there are many descriptive analysis that have been conducted based on the social factors such as lifestyle, social class and community facts that are directly linked with the research article topic. The main sources of data can be generated from the self-report victimization data where some analysis is being conducted by using police-reported data. Furthermore, the criminal justice responses towards violence against women that has shifted over past 30 years. Women, mostly do not file any report when they face violence due to fear. They rather take support of informal sources such as friends and family as mentioned in the victimization data. The violence faced by women should be reported to the criminal justice so that victims get the punishment for their crime. In that case, when violence against women are reported to the police and other authorities concerned, then the victim gets the criminal cha rges as mentioned in the police-reported data (Dartnall and Jewkes 2013). Police-reported surveys considers as one of the important indicator when the nature of all Criminal Codes offences are mention and come in attention to police. It collects the administrative data on an annual basis where it includes police services in Canada. Reference List Dartnall, E. and Jewkes, R., 2013. Sexual violence against women: the scope of the problem.Best practice research Clinical obstetrics gynaecology,27(1), pp.3-13. Dillon, G., Hussain, R., Loxton, D. and Rahman, S., 2013. Mental and physical health and intimate partner violence against women: A review of the literature.International journal of family medicine,2013. Donohoe, M., 2016. Individual and societal forms of violence against women in the US and the developing world: an overview.Current Womens Health Reports,2, pp.313-319. Sinha, M., 2013. Measuring violence against women: Statistical trends.Juristat: Canadian Centre for Justice Statistics, p.1. (Accessed from: https://search.proquest.com/openview/5c799dab5832c35fefe950091a21dd40/1?pq-origsite=gscholarcbl=44168)

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