This study addresses the factors that assist families towards family adaptation during adversities and contribute to family resilience. The study aimed to identify, describe and explore family resilience factors that enable urban Shona Christian families to withstand life crises in the midst of a society facing economic hardships and manage to bounce back from these challenges. The study also sought to reach out to families facing challenges and who are struggling to adapt and recover from their challenges. The Resiliency model of Family Stress, Adjustment and Adaptation was used as a theoretical framework for this study (McCubbin, Thompson & McCubbin, 2001).
A quantitative method was employed. A total of 106 participants including parents and adolescents from 53 families independently completed 6 questionnaires including a biographical questionnaire. The questionnaires measured family adaptation and aspects of family functioning in accordance with the Resiliency model of Family Stress, Adjustment and Adaptation. The data collected was subjected to correlation regression analysis which was computed using SPSS to identify family resilience factors that assisted families in family adaptation.
The results showed that family adaptation was fostered by first, the family’s internal strengths; affirming and less incendiary communication; passive appraisal; and control over life events and hardships. Secondly, the family’s external strengths; seeking spiritual support; social support from within the community; and mobilising the family to acquire community resources and accept help from others. These findings could be used to develop interventions that promote family resilience and establish the potential of family members within a family when facing adversities. / Psychology / M.A. (Social Science)
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/19915 |
Date | 02 1900 |
Creators | Muchesa, Oleander |
Contributors | Kheswa, G. E. |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Dissertation |
Format | 1 online resource (xi, 131 leaves) :illustrations |
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