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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

臺灣便利商店的空間分佈和群聚結構 / The Spatial Distribution and Cluster of Taiwan Convenience Store

林佩運 Unknown Date (has links)
通過描述在不同的區域、縣市、鄉鎮市區和村裡的便利商店家數、人口和便利商店比例、土地面積和便利商店比例、村裡覆蓋率,來理解不同行政單位的便利商店分佈的特征和差異。通過運算便利商店之間的最近距離以及單位半徑內有幾家便利商店的數量來理解便利商店系統之間的競合關係以及群聚程度。最後,本文選取了四種便利商店經常出現的典型區域代表,即住宅區、學校周邊、火車站和商圈的便利商店分佈的狀況,詳細的理解每種類型背後選址的邏輯,以及商店之間的歷史競合關係。 通過上述研究,本文發現便利商店的在不同行政單位上的分佈呈現很大的差異,北部佔據超過50%的便利商店數量,中南部次之,而東部的便利商店僅僅只集中在某幾個鄉鎮市區,覆蓋程度很差,反而是北部的縣市相對平均。在空間距離上,基隆市、新竹市、臺北市的平均最近距離都接近100公尺,7-Eleven和FamilyMart是最常出現的配對,7-Eleven和7-Eleven是出現頻次第二多的配對。即使是在工商業一樣都很發達的鄉鎮市區,北部城市的群聚現象要遠遠高於其它縣市,3、4個便利商店很近的聚集在一起大多數出現在北部。從便利商店寄居的四種類型區域中發現,FamilyMart的選址策略很高,7-Eleven常常緊隨其後。
2

夫妻間依附類型配對組合、休閒興趣的相似程度與婚姻滿意度之關係 / The Relation among Married Couple's Matches of Attachment Styles , Similarity in Leisure Interest and Marital Satisfaction

林奕丞 Unknown Date (has links)
本文旨在探討休閒興趣相似程度與夫妻間的依附類型配對組合兩者對婚姻滿意度之影響。測量工具上採用問卷調查法的方式進行,依附類型的分類部分,參考ECR量表(Experiences in Close Relationships),自編依附關係量表,以群集分析方式分類夫妻雙方各別的依附類型;休閒興趣部分則使用自編之休閒興趣調查表,量測受試者夫妻在休閒興趣的四大向度,個人/群體*靜態/動態上之有興趣之休閒活動數量;最後以關係評估量表(Relationship Assessment Scale,RAS)作為婚姻滿意度之測量工具。樣本部分,本研究以卡培爾國際有限公司之「為愛啟程」團隊網路交友配對計畫所蒐集之夫妻樣本資料做二手資料分析,採取系統觀點以201對(共402人)完整夫妻配對資料,進行研究。   研究經由結果得知,夫妻雙方之休閒興趣的相似程度、各自依附類型、依附類型配對組合皆能部分解釋丈夫、妻子及雙方平均婚姻滿意度部分變異,而丈夫婚姻滿意度之解釋力以休閒興趣相似程度為最高,夫妻皆不安全依附之配對組合為次之。妻子婚姻滿意度之解釋力以夫妻皆安全依附之配對組合為最高,休閒興趣相似程度為次之,夫妻間一方為安全一方為不安全依附之配對組合則為第三高。平均婚姻滿意度之解釋力以夫妻皆不安全依附之配對組合為最高,休閒興趣相似程度為次之。 / This study aims to explore the relationships of married couple’s similarity in leisure interest, matches of attachment styles and marital satisfaction. Based on the data of “Capire International Company “collected from 201 pairs of married couples, and reconstructed this study’s model. In the study, we used attachment stype scale to test married couple’s attachment style. Cluster analysis was also used to sort out each spouse’s attachment type. As for leisure interest, we used self-edited questionnaire to measure married couple’s four dimensions of leisure interested. Finally, the RAS (Relationship Assessment Scale) was used to measure couple’s marital satisfaction. The result of the research indicated that, no matter the similarity in leisure interest of married couple, husband or wife’s individual attachment type and married couple’s matches of attachment styles all can explain part of the variation of the husband, wife and the mean of both marital satisfactions. And the similarity in leisure interest has the highest prediction for husband's marital satisfaction, with both spouses’ attachment type as insecure lying second. As for the explanation power for the wife’s marital satisfaction, both spouses’ attachment type as secure ranked the highest, with similarity in leisure interest second and one spouse attachment type as secure and another as insecure ranked the third. Last of all, for mean martial satisfaction, both spouses’ attachment type as insecure has the highest prediction, with similarity in leisure interest ranked second.

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