Resilience and Coping Strategies among Slum Women in Tiruchirappalli Municipal Corporation: A Descriptive Study

  • R. Jemima Princy Senior Social Work Trainee, Bishop Heber College (Autonomous), Trichy
  • B. Arun Kumar Assistant Professor of Social Work, Bishop Heber College (Autonomous), Trichy

Abstract

Slum women face numerous challenges, including poverty, housing insecurity, gender-based violence and limited access to resources. Despite these adversities, many slum women demonstrate remarkable resilience and employ various coping strategies to navigate their difficult circumstances. This descriptive study explores the experiences of slum women in Tiruchirappalli Municipal Corporation, focusing on their understanding of resilience, the coping mechanisms they employ, and the factors that influence their effectiveness. The study will utilize quantitative methods, such as questionnaire prepared by the Researcher, Scale to Measure Resilience and Coping Strategies, to gather rich data on the women’s perspectives and experiences. This study aims to contribute to a deeper understanding of the strengths and vulnerabilities of slum women in Tiruchirappalli. By examining their resilience and coping mechanisms, the study seeks to: identify common coping strategies employed by slum women, explore the factors that influence the effectiveness of these strategies, gain insights into the lived experiences of resilience among slum women and suggest interventions and policies aimed at supporting the well-being and empowerment of slum communities. Using a descriptive research design with a quantitative approach, a simple random method was used for sampling with a sample size of 50 respondents. The research primarily focuses on finding the Level and inter correlation of the resilience and coping strategies. The major finding is majority (54%) of the respondents are have Low level of Resilience and Coping Strategies. Salient findings related to the study and suggestions are discussed in the full paper.

Published
2024-02-12
Statistics
Abstract views: 277 times
PDF downloads: 141 times
Section
Articles