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Analysis of Social and Psychological Terrain of Bank Erosion Victims: A Study Along the Bhagirathi River, West Bengal, India

Analysis of Social and Psychological Terrain of Bank Erosion Victims: A Study Along the Bhagirathi River, West Bengal, India

作     者:Aznarul ISLAM Sanat Kumar GUCHHAIT 

作者机构:Department of Geography Aliah University Kolkata 700014 India Department of Geography The University of Burdwan Burdwan 713104 India 

出 版 物:《Chinese Geographical Science》 (中国地理科学(英文版))

年 卷 期:2018年第28卷第6期

页      面:1009-1026页

核心收录:

学科分类:0303[法学-社会学] 0402[教育学-心理学(可授教育学、理学学位)] 04[教育学] 0708[理学-地球物理学] 0705[理学-地理学] 0813[工学-建筑学] 040201[教育学-基础心理学] 0704[理学-天文学] 0833[工学-城乡规划学] 

主  题:social terrain psychological terrain riverbank erosion principal component analysis Tajfel matrix Bhagirathi River 

摘      要:Social psychology of people affected by hazards is different from normal psychology. For example, severe bank erosion in the lower reach of the Bhagirathi River in West Bengal has resulted in significant land loss (-60% of all households lost land over last 20 years) and affected the livelihoods of the people in the study villages along the river. Per capita income has almost halved from 1970-2012 due to land loss. This stark nature of land erosion and vulnerability of livelihood has had far-reaching repercussions on the fabric of society and the psychology of the people in this region. Results showed that erosion-affected villages have registered compara- tively larger average family sizes (-4.1 as compared to -3.9 in non-affected villages), lower literacy levels (〈 50% compared to 〉 65% for the non-affected villages), and poor health. Reports of poor health as a result of land erosion include -60% of the respondents having reported physical ailments such as headache and abdominal discomfort, as well as 3%-5% reporting loss of emotional and psychological balance. Villages suffering from erosion showed higher positive loadings in average-coefficient of variation (CV) differential (25%-40%) depicting objectivity in their opinions for select variables of social processes. Principal component analysis (PCA) por- trayed maximum eigenvalues in the first principal component for interpersonal processes (-98%) and a minimum for intergroup proc- esses (-80%). Categorical principal component analysis (CATPCA) depicted a cluster between interpersonal and intergroup processes and another between intra-individual and group categories. The positive loadings in female-male differences in CV of perceptions portrayed relative consistency of males over the females concerning fear/phobia and physical stress while negative loadings exhibited higher consistency for females regarding psychological stress and shock. Lastly, the Taj fel matrix portrayed a distinction between hazard psychol

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