Chapter Assessing intimate partner violence in African countries through a model-based composite indicator
Violence against women has been recognised to affect all dimensions of women’s lives and health, involving both the physical and mental conditions of victims and their general well-being. Intimate partner violence (IPV) – characterized by one of the partners seeking power and control over the other...
Gardado en:
| Main Authors: | , |
|---|---|
| Formato: | Online |
| Idioma: | inglés |
| Publicado: |
Firenze University Press, Genova University Press
2023
|
| Subjects: | |
| Acceso en liña: | ONIX_20230803_9791221501063_103 |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|
| _version_ | 1869524765623975936 |
|---|---|
| author | Parroco, Anna Maria Arcaio, Micaela |
| author_browse | Arcaio, Micaela Parroco, Anna Maria |
| author_facet | Parroco, Anna Maria Arcaio, Micaela |
| author_sort | Parroco, Anna Maria |
| collection | Directory of Open Access Books |
| description | Violence against women has been recognised to affect all dimensions of women’s lives and health, involving both the physical and mental conditions of victims and their general well-being. Intimate partner violence (IPV) – characterized by one of the partners seeking power and control over the other – can be identified as either emotional, physical, or sexual abuse. Recent data show that 33% of ever-married women in Sub-Saharan Africa have survived this form of abuse. The literature lacks an overall measure of violence suitable for surveys since the Composite Abuse Scale (Revised) – Short Form captures IPV mostly in a clinical setting. The data here used are drawn from the Demographic and Health Survey (DHS). They are part of fifteen surveys that include a module on domestic violence and were carried out in African countries mostly from 2015 to 2018. All women selected for this sample are married women, aged 15-64. Three logistic regression models were previously defined to investigate the determinants of physical, emotional and sexual abuse - independently. In these models, the history of violence – defined as witnessing parental violence, rape by a man other than her partner, and number of abusers in life – turned out to be crucial in predicting violence itself. The intensity of how justified wife-beating is by women themselves and the number of control issues also resulted as significant across all models. On the other hand, the partner’s high education and higher wealth turned out to be protective factors. On these bases, the definition and construction of a composite indicator of IPV with a Structural Equation Model (SEM) are already underway. The possibility of ranking the units of analysis according to the level of the IPV indicator can allow governmental and non-governmental organizations to implement socio-educational interventions that are better targeted to the actual needs of each context. |
| format | Online |
| id | doab-20.500.12854ir-111962 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Firenze University Press, Genova University Press |
| publisherStr | Firenze University Press, Genova University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1119622025-07-17T10:01:28Z Chapter Assessing intimate partner violence in African countries through a model-based composite indicator Parroco, Anna Maria Arcaio, Micaela Intimate Partner Violence Demographic and Health Survey Composite thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Violence against women has been recognised to affect all dimensions of women’s lives and health, involving both the physical and mental conditions of victims and their general well-being. Intimate partner violence (IPV) – characterized by one of the partners seeking power and control over the other – can be identified as either emotional, physical, or sexual abuse. Recent data show that 33% of ever-married women in Sub-Saharan Africa have survived this form of abuse. The literature lacks an overall measure of violence suitable for surveys since the Composite Abuse Scale (Revised) – Short Form captures IPV mostly in a clinical setting. The data here used are drawn from the Demographic and Health Survey (DHS). They are part of fifteen surveys that include a module on domestic violence and were carried out in African countries mostly from 2015 to 2018. All women selected for this sample are married women, aged 15-64. Three logistic regression models were previously defined to investigate the determinants of physical, emotional and sexual abuse - independently. In these models, the history of violence – defined as witnessing parental violence, rape by a man other than her partner, and number of abusers in life – turned out to be crucial in predicting violence itself. The intensity of how justified wife-beating is by women themselves and the number of control issues also resulted as significant across all models. On the other hand, the partner’s high education and higher wealth turned out to be protective factors. On these bases, the definition and construction of a composite indicator of IPV with a Structural Equation Model (SEM) are already underway. The possibility of ranking the units of analysis according to the level of the IPV indicator can allow governmental and non-governmental organizations to implement socio-educational interventions that are better targeted to the actual needs of each context. 2023-08-08T04:07:42Z 2023-08-08T04:07:42Z 2023-08-03T15:06:22Z 2023 chapter ONIX_20230803_9791221501063_103 2704-5846 https://library.oapen.org/handle/20.500.12657/74907 9791221501063 https://directory.doabooks.org/handle/20.500.12854/111962 eng Proceedings e report open access image/png image/jpeg Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/74907/1/9791221501063-35.pdf https://library.oapen.org/bitstream/20.500.12657/74907/1/9791221501063-35.pdf Firenze University Press, Genova University Press 10.36253/979-12-215-0106-3.35 10.36253/979-12-215-0106-3.35 74113d79-2268-4658-88bb-6e8757c543b0 ASA 2022 Data-Driven Decision Making 9791221501063 6 Florence open access |
| spellingShingle | Intimate Partner Violence Demographic and Health Survey Composite thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Parroco, Anna Maria Arcaio, Micaela Chapter Assessing intimate partner violence in African countries through a model-based composite indicator |
| title | Chapter Assessing intimate partner violence in African countries through a model-based composite indicator |
| title_full | Chapter Assessing intimate partner violence in African countries through a model-based composite indicator |
| title_fullStr | Chapter Assessing intimate partner violence in African countries through a model-based composite indicator |
| title_full_unstemmed | Chapter Assessing intimate partner violence in African countries through a model-based composite indicator |
| title_short | Chapter Assessing intimate partner violence in African countries through a model-based composite indicator |
| title_sort | chapter assessing intimate partner violence in african countries through a model based composite indicator |
| topic | Intimate Partner Violence Demographic and Health Survey Composite thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| topic_facet | Intimate Partner Violence Demographic and Health Survey Composite thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| url | ONIX_20230803_9791221501063_103 |
| work_keys_str_mv | AT parrocoannamaria chapterassessingintimatepartnerviolenceinafricancountriesthroughamodelbasedcompositeindicator AT arcaiomicaela chapterassessingintimatepartnerviolenceinafricancountriesthroughamodelbasedcompositeindicator |