Women´s representation about violence against women and quality of life

Category Primary study
Year 2011
The present study aimed at understanding women’s social representations ofviolence against women and quality of life as well as correlating them. Moscovici’sSocial Representation Theory and Jean Claude Abric’s Central Nucleus Theory wereused as theoretical and methodological reference. Data was gathered in two steps. Inthe first step, social representations about inductive terms such violence againstwomen and quality of life were apprehended through the free evocation technique.In the second one, the representations found in the first step were clarified andcomplemented through a workshop. The sample was built by 100 women in the firststep and two women in the second step in the same Health Center in the town ofNova Lima, Minas Gerais. These women’s profiles description were analyzed throughsimple frequency; the structures obtained through free evocation were processed bythe Ensemble de Programmes Permettant I’Analyses des Evocations (EVOC)software and analyzed under the four-house board technique created by PierreVergès; the hyerarchization order’s explanations attributed by the interviewees to theevoked words relating to the induction term and the workshops were evaluated underBardin’s content analysis. In the women’s profiles composition, most of them werebetween 30 and 39 years of age, married with children. Violence against women isrepresented from the disrespect element, such as that which precedes violence andfrom aggression, the most visible expression of violence. The possible causes for itsoccurrence, feelings generated because of it and how it unfolds in the day-by-day lifecomplete this representation. The quality of life representation is built by subjectiveelements such as love, health and work. It happens with elements that should bepresent in people’s lives being explained by the consequences of their absence inone’s life. The workshop outlined the results found in the study’s...
Epistemonikos ID: 28945bb5dfb479eeb42094f40c14518d93a68035
First added on: Jan 18, 2025