Analysis of controlling variables of coping strategies by Correlation Matrix: A study on slums of Midnapore Municipality, WestBengal
Journal Title: International Journal of Physical and Social Sciences (IJPSS) - Year 2017, Vol 7, Issue 8
Abstract
Coping strategy is the approaches that people use in order to deal with stresses, pain and natural changes that experiences every day in their life. It is conscious or instinctively choice of adaptation to phenomenon stresses that that enhances control over behaviour or gives psychological comfort. It leads to either cohesion in the community/society or can also be misery and/or crucial life that include migration, begging, child labour, violence, prostitution, even selling organs etc. Most of the cases poor neighbourhoods in each urban area are having overcrowding and congestion, extremely poor sanitation, lack of civic amenities and deviant behaviour, overcrowding, poor housing, choked drains, lack of garbage disposal facilities, poor personal hygiene, and hygienic conditions that are specially hall marks of urban slums in India. Likewise, slum dwellers are comprises diverse group of people with different interests, means and background. Slum dwellers in every urban area willingly or unwillingly try to solve or cope with the existing problems or adopt some strategies that could effective or harmful. The study is an attempt to measure the degree of coping strategy and its relation with major variables that impact on adapting such type of coping strategies of the inhabitants over different slums in Midnapore Municipal Area, West Bengal by simple composite index & correlation matrix using SPSS-20 statistical software. In order to do the same, all slum neighbourhoods have been identified through in depth field survey with the help of earlier collected slum related information from municipality of Midnapore town. Relevant questionnaires used to collect the related information from households using appropriate sampling techniques.
Authors and Affiliations
Bikash Dutta
Keywords
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- EP ID EP41820
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