南投縣原住民休閒活動參與概念與阻礙因素之研究

A Study on The Concept of Leisure Participation and Leisure Constraints of Aboriginals in Nantou County

沈寶華(SHEN PAO HUA)

指導教授 ： 李明榮

亞洲大學/管理學院/休閒與遊憩管理學系碩士在職專班/碩士(2009年)

摘要

本研究主旨為探討南投縣原住民的休閒活動參與概念與休閒阻礙因素之現況，並探討不同背景變項原住民在休閒活動參與概念及休閒阻礙因素之差異情形。研究問卷分為三個部分，分別為休閒活動基本概念量表、休閒活動阻礙因素和背景變項三大項。量表問卷共發放450份，回收有效問卷403份，有效回收率89.5%。問卷資料依研究問題，採用描述統計、獨立樣本t考驗、單因子變異數分析、積差相關和多元逐步迴歸方法進行分析，研究結果發現：
一、 南投縣原住民對休閒活動參與概念極為正向；休閒阻礙則居於中間偏高的程度，，代表原住民普遍認為自己在參與休閒活動上有感受到來自個人、家庭及社會上的阻礙。
二、 不同背景原住民在在休閒活動參與概念程度上僅教育程度有顯著差異。
三、 不同年齡、婚姻狀況和教育程度的原住民在休閒阻礙的向度上有顯著差異。
四、 休閒阻礙各向度均與休閒活動概念呈現負相關；背景變項對休閒阻礙各量表的解釋力介於3.6%至5.8%之間。

關鍵字

原住民、休閒活動、休閒參與概念、休閒阻礙、多元逐步迴歸

並列摘要

The purpose of this study was to explore the relationship among the leisure participation and constraints of aboriginal people, and compared the different background variables. Instruments included basic leisure participating concept scale, leisure constraint scale, and personal background. The questionnaires were spread to 450 aboriginal son product-moment correlation, and Multi-stepwise regression. The conclusions were as follows:
1. The concept of leisure participation tended to be positive; Leisure constraints tended to be higher degree; which meant aboriginal people in Nantou County, and recycling 403, the valid recycling rate was 89.5%. According to the purpose, the collected data were analyzed by descriptive statistics, independent t-test, one-way ANOVA, Pear people thought that the factors of leisure constraints included personality, family, and society.
2. In the concept of leisure participation, there is significant difference among background variables.
3. Different years, marriage condition, and educational degree variables had significant difference in leisure constraints
4. There was negative correlation between leisure constraints and leisure participation; the background variables had 3.6-5.8% explanation to leisure constraints.

並列關鍵字

Aboriginal people, leisure activity, leisure Aboriginal people, leisure activity, leisure participation, leisure constraint, Multi-stepwise regression. ； AND

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