dc.contributor.advisor | 樓永堅<br>別蓮蒂 | zh_TW |
dc.contributor.author (Authors) | 簡南山 | zh_TW |
dc.creator (作者) | 簡南山 | zh_TW |
dc.date (日期) | 2002 | en_US |
dc.date.accessioned | 18-Sep-2009 13:35:06 (UTC+8) | - |
dc.date.available | 18-Sep-2009 13:35:06 (UTC+8) | - |
dc.date.issued (上傳時間) | 18-Sep-2009 13:35:06 (UTC+8) | - |
dc.identifier (Other Identifiers) | G0853555081 | en_US |
dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/35019 | - |
dc.description (描述) | 博士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 企業管理研究所 | zh_TW |
dc.description (描述) | 85355508 | zh_TW |
dc.description (描述) | 91 | zh_TW |
dc.description.abstract (摘要) | 本論文運用後設統合分析的程式與技術,來整合台灣歷年生活型態研究的實證結果,主要的研究目的在於以社會生活的結構性特徵來做為生活型態量表衡量的主體,以此構念來做為比較不同生活型態量表效率的基礎,運用後設統合分析的形式,來探討影響歷年生活型態量表效率的因素,提供未來生活型態研究,如何增進量表使用效率的參考依據。本論文以歷年生活型態量表研究最常被採用的主成份因素分析法所求出的實證結果,做為檢驗本論文研究假設的樣本資料,總共收集了208篇論文研究,247份有效樣本。研究結果顯示,生活型態量表效率與題數之間,有顯著的線性關係,題數越多,量表效率越高;特殊型量表比一般型以及混合型量表的效率低;樣本涵蓋的區域越大(跨區相對於單一區域樣本),呈現的生活型態量表效率越低;特殊性樣本(以使用特定產品或出入特定場所為樣本)相對於普遍性樣本,呈現的生活型態量表效率越高;樣本數越大呈現的量表效率越低;在隨機抽樣的架構下,隨著樣本人數增加,導致生活型態量表效率降低的幅度,比非隨機抽樣架構,降低的幅度來的小;而實證研究所使用的樣本年齡差距、混合或單一性別樣本、以及量表等級尺度,並不會影響生活型態的量表效率。 | zh_TW |
dc.description.tableofcontents | 第一章、研究動機與目的 1第一節、研究動機 1第二節、研究目的 6第二章、文獻探討 7第一節、生活型態的結構化理論 7第二節、後設統合分析的文獻探討 19第三節、影響生活型態量表效率的相關假說 25第三章、研究架構與研究方法 34第一節、研究架構 34第二節、研究方法 36第三節、研究所使用的資料範疇 45第四章、研究結果 47第一節、有效樣本資料基本統計 49第二節、影響生活型態量表效率的迴歸檢定分析 56第三節、討 論 59第五章、結論與建議 66第一節、結 論 66第二節、對於生活型態量表效率的建議 70第三節、理論意涵 72第四節、研究限制 74第五節、後續研究 76參 考 文 獻 78附錄一:後設統合分析資料引用的參考文獻 Ⅰ~ⅩⅣ附錄二:資料範疇的代表性分析 Ⅰ~ Ⅵ附錄三:台灣生活型態量表效率後設統合分析資料集 Ⅰ~ⅩⅢ | zh_TW |
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dc.language.iso | en_US | - |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0853555081 | en_US |
dc.subject (關鍵詞) | 生活型態 | zh_TW |
dc.subject (關鍵詞) | 量表效率 | zh_TW |
dc.subject (關鍵詞) | 後設統合分析 | zh_TW |
dc.title (題名) | 台灣生活型態量表效率的後設統合分析 | zh_TW |
dc.type (資料類型) | thesis | en |
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