Presenting a model of social harms of earthquake-stricken women in Bam
The aim of this study is to present the model of social harms of earthquake-stricken women in Bam, which has been done in a mixed or combined manner. In the qualitative part, which is done with the Grand Theory strategy, the statistical population of the study includes the earthquake-stricken women of Bam, 12 of whom have been purposefully selected as the statistical population. Interview analysis was performed according to coding method and based on data analysis, 224 meaningful concepts and propositions were extracted from the text of the interviews. Following the coding process, 218 corresponding concepts were extracted from 224 meaningful propositions. The corresponding concepts became 45 subcategories due to the large number of overlaps and duplicates. Also, due to the closeness and semantic overlap of many pivotal subcategories in the coding stage, 45 existing subcategories have become 17 pivotal categories, which include: crisis living environment, disaster experience, environmental disorders, experience of violence, mourning and bereavement, cultural dominance. Masculinity, the traditional view of disasters, the loss of privacy, adaptation to crisis, self-destructive behaviors, social isolation and withdrawal, fake attempts to improve, sexual harassment, remorse, experience of violence, femininity of injuries, degradation of maternal status with more abstraction These categories include selective coding, a nuclear category described as "the social harms of earthquake-stricken women in a crisis-ridden and disastrous life, and in the context of experiences of violence, mourning, and bereavement, with crisis adaptation strategies, self-defeating, isolated, and isolated behaviors." "Sexual harassment, remorse, the experience of violence, and even the degradation of maternal status have led to the appearance that it can cover all other categories." In the quantitative section, the results of modeling have shown that the extraction pattern has been confirmed with high coefficients.
Article Type:
Research/Original Article
Journal of Social Sciences, Volume:13 Issue: 46, 2020
55 - 68  
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