老榮民鄰里社會網絡支持、社區意識與台灣地區意識關係之研究―以高雄縣、市為例

南華大學機構典藏系統 > 人文學院 > 生死學系(生死學系碩士班,哲學與生命教育碩士班) > 博碩士論文-生死學系碩士班 > Item 987654321/21178

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题名:	老榮民鄰里社會網絡支持、社區意識與台灣地區意識關係之研究―以高雄縣、市為例
其它题名:	The Relationship on the Aged Veterans' Neighborhood Social Network Support, Consciousness of Community and Consciousness of Taiwan-Community
作者:	黃仁峰 Huang, Ren-feng
貢獻者:	生死學研究所魏書娥 Shu-Er Wei
关键词:	台灣地區意識;依附;老榮民;社會網絡;社會支持;社區意識 The aged veteran;Social support;Attachment;Social network
日期:	2003
上传时间:	2015-05-28 14:15:42 (UTC+8)
摘要:	本研究旨在探討老榮民鄰里社會網絡支持，社區意識與台灣地區意識之關係，進而提出具體建議，以作為老榮民個人、社區、政府及未來研究的參考。本研究採用問卷調查法及深度訪談法。問卷調查對象為高雄縣、市65歲以上的老榮民，以叢集立意抽樣的方式抽取老榮民540人。深度訪談對象從這540人中抽取11名老榮民接受訪談。　　　　研究工具依據文獻探討分析，自編「老榮民鄰里社會網絡支持問卷」、「老榮民社區意識問卷」、「老榮民台灣地區意識問卷」及「半結構式訪談大綱」。量化收集的資料主要採用積差相關、單因子變異數分析、多元逐步迴歸等統計方法加以處理，並綜合質化收集的訪談資料，互相印證。本研究主要發現如下：　　1.老榮民的鄰里社會網絡支持在「中等以上」，在各分層面上，以.情感性支持最高；社區意識在「中等以上」，在各分層面上，以社區情感最高；台灣地區意識在「中等以上」，在各分層面上，以地區情感最高。2.老榮民鄰里社會網絡支持愈高，社區意識得分就愈高；社區意識得分愈高，台灣地區意識得分就愈高。3.對台灣地區意識的預測：鄰里社會網絡支持具高預測力，以情感性支持的解釋力最大；社區意識具高預測力，以社區情感的解釋力最大。4.老榮民不同背景變項在鄰里社會網絡支持、社區意識及台灣地區意識上，大部分具有顯著差異。5.Bowlby的依附理論與Hunter等人的地方性支持研究在本研究中得到印證。6.訪談資料提供了問卷中未觀察到的不同面向。　　　　The main purpose of this study is to explore the relation on the aged veterans’ neighborhood social network support, consciousness of community and consciousness of Taiwan-Community, and further to provide specific suggestions to be the reference of the veterans themselves, community , government, and future study. Questionnair survey and depth interview have been adopted in this study The subjects of questionnair survey were the aged veterans over 65 years old living in Kaohsiung . 540 veterans were sampled by the way of cluster purposive sampling. There are 11 veterans to be the subjects of depth interview. 　　　Based on literature survey, the instrument was self-designed with “Questionnair of The Aged Veterans’ Neighborhood Social Network Support, “Questionnair of The Aged Veterans’ Consciousness of Commuity”, and “Questionnair of The Aged Veterans’ Consciousness of Taiwan-Community”. Data were analyzed by the method of descriptive and inferential statistics, including Pearson correlation, One-way ANOVA, and multiple stepwise regression, and were checked up with depth interview data. The major results of the study are as follows:　1.Whole neighborhood social network support indicates upper middle, and among all aspects of the aged veterans’ nighborhood social network support, expressive support is the most; whole consciousness of community indicates upper middle, and among all aspects of the aged veterans’ consiousness of community, community affectiveness is the most; whole consciousness of Taiwan-Community indicates upper middle, and among all aspescts of the aged veterans’ consciousness of Taiwan-Community, area affectiveness is the most.2.The higher veterans’ neighborhood social network support, the better their consciousness of community. The better veterans’ consciousness of community, the better their consciousness of Taiwan-Community.3.On the predictability of the aged vaterans’ consciousness of Taiwan-Community: neighborhood social network support has high explanation, and expressive support has the most explanation ; consciousness of community has high explanation, and community affectiveness has the most explanation.4.Most of the background variables cause significant difference on veterans’ neighborhood social network support, consciousness of community, and consciousness of Taiwan-Community.5.The theory of Bowlby and the study of Hunter,etc. were confirmed in this study. 6.The findings from depth interview provide different angles to this study.
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