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未婚女性生活型態與休閒行為關係研究

The Relationship between Lifestyle and Leisure Behavior of the Unmarried Females

摘要


本研究旨在探討未婚女性的生活型態及休閒行為之關係,進而推估影響未婚女性休閒行為之因素。研究發現:未婚女性生活型態可分為流行購物、社交活躍、闔家休憩、職涯成就、信仰生活、運動健身等六種類型;休閒行為可分為知性藝文、有氧健美、居家生活、戶外運動、戶外遊憩、美食社交及信仰服務等七種類型;以及可區分為居家成就、多元均衡與健身社交三種生活型態簇群,且不同人口結構之未婚女性在不同生活型態簇群有部分顯著差異。此外,未婚女性生活型態與休閒行為之間有顯著相關,且各類型休閒行為會受到其部分社經背景及生活型態所影響。

並列摘要


The purposes of this study are to explore: (a) the relationship between the unmarried females' lifestyles and leisure behaviors, and (b) the factors that affect leisure behaviors of the unmarried females. The major findings are as follows: (a) By factor analysis, the unmarried females can separate into 6 lifestyle types of "following fashion and shopping", "being active in social", "sharing joy and enjoying leisure with family", "accomplishing achievements in career", "participating in life of religion", and "exercising and keeping physical fitness". (b) The types of leisure behaviors of the unmarried females can be divided into "intellectuality and art", "aerobics and fitness", "home furnishing life", "outdoor sports", "outdoor recreation", "food and party", and "faith and service". (c) By cluster analysis, the unmarried females can be identified into three lifestyle clusters: the "home life and career development", "diversified and balanced life", and "keeping physical fitness and social life." The result shows that significant difference exists between salary and three lifestyle clusters of the unmarried females. (d) The leisure behaviors of the unmarried females have greatly positive to do with their lifestyle types. (e) By regression analysis, it implies that some of the demographics and most of the lifestyles can predict the unmarried females' leisure behaviors.

參考文獻


內政部,(2011)。100年婦女生活狀況調查【線上資料】,來源:http://sowf.moi.gov.tw/stat/Survey/婦女/100 年婦女生活狀況調查報告.pdf[2018, December 20]
內政部,(2018)。統計年報【線上資料】,來源:https://www.moi.gov.tw/files/site_stuff/321/2/year/y02-03.xls [2018, December 20]
王俐文,(2009)。「被詮釋」掉的風險:單身女性合租者之空間安全感研究,文化研究月報,88,40-53。
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行政院主計總處,(2016)。國情統計通報(第 219 號) 【線上資料】,來源:https://www.stat.gov.tw/public/Data/7111716316XUOZ7PXC.pdf [2018, July 28]

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