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研究生:官呢燕
研究生(外文):Ni-Yen Kuan
論文名稱:結構方程模式相關應用之整理與回顧
論文名稱(外文):LITERATURE REVIEW FOR UNDERSTANDING THE APPLICATION OF STRUCTURAL EQUATION MODELING
指導教授:陳煇煌陳煇煌引用關係
指導教授(外文):Huei-HuangChen
口試委員:陳煇煌
口試委員(外文):Huei-HuangChen
口試日期:2013-06-17
學位類別:碩士
校院名稱:大同大學
系所名稱:資訊經營學系(所)
學門:商業及管理學門
學類:一般商業學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:93
中文關鍵詞:SEM文獻整理SSCI關鍵字結構方程模式關鍵字SEM關鍵字
外文關鍵詞:SEM LiteratureStructural Equation ModelingImpact Factor
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結構方程模式 (Structural Equation Modeling, SEM),已儼然成為現今學術領域使用上最常見的統計技術,無論在心理學、管理學與人文社會科學…等領域,均可利用SEM進行研究驗證,因此在許多世界著名期刊早已把SEM的驗證過程視為必要的審查要點。也因為SEM蓬勃發展,許多學者發現到一個現象,就是雖然現今SEM技術具有完整的理論基礎,並被大家普遍接受使用,但是也因為如此,有越來越多的研究人員,在模型操作與SEM分析結果解釋,紛紛開始出現一些誤用或是解釋錯誤,本研究希望能盡量提供一個基本完善的SEM操作流程,並配合大量相關文獻,使之後研究人員在使用SEM技術上可以更加快速明瞭。
本研究除了提供大量有關於SEM文獻,並整理出SCI、SSCI與TSSCI期刊中,有收錄SEM相關文章的優良管理類期刊,再再證明顯示SEM方法在各項領域都有蓬勃成長與優勢,以此作為本研究整理SEM操作實例理論基礎。此外,再選自SSCI期刊文章進行SEM實際例題操作,且搭配大量相關內容文獻及說明各個SEM分析方法,提供之後有需要實際操作到SEM方法的研究人員一個快速上手的步驟流程。最後,因為本研究是以SEM為主,研究地區又以台灣地區為研究範圍為主要根據,所以部分文獻資料 (期刊Impact Factor)的時間以2009-2011年為主,如之後有研究人員需要更新資訊請再自行搜尋。
Structural Equation Modeling (SEM) is the most common statistical technique in academic research at present. In psychology, management and human social sciences, SEM is used for validating the research. Thus, in many well-known international journals, validation by SEM is a key point in the article review process. However, many scholars have realized that although the current SEM technique is based on complete theories and is widely adopted, an increasing number of researchers have misused or proposed wrong explanation in model manipulation and SEM analytical result. This study intends to propose a complete SEM process after a comprehensive literature review, thus allowing future researchers to use SEM more effectively.
Besides proving a great number of literatures related to SEM, this paper also reorganizes excellent management journals related to SEM in SCI, SSCI and TSSCI. It is found that the SEM has been used extensively and is advantageous in different fields. It is the theoretical base for this study to reorganize cases of SEM. In addition, this study applies SEM on the studies in SSCI, and uses a great number of related literatures to explain the SEM analytical methods, thus providing a simple process of using SEM for the reference of future researchers. Finally, since this study focuses on SEM and the research scope is in Taiwan, time of some literature (the journal Impact Factor) is 2009-2011. If necessary, futures researchers can search for the updated information.
目錄
致謝 II
摘要 III
ABSTRACT IV
目錄 V
圖目錄 VII
表目錄 VIII
第一章 1
1.1研究背景 1
1.2研究動機 2
1.3研究目的 2
1.4研究範圍與限制 3
1.5研究流程 3
第二章 5
2.1結構方程模式 (SEM) 5
2.2國內外重要期刊介紹 9
第三章 22
3.1研究架構 22
3.2研究工具 22
3.3操作範例文章 24
第四章 27
4.1問卷測試 27
4.2 SEM資料編輯 (多元常態及極端值檢定) 31
4.3 Confirmatory Factor Analysis (驗證式因素分析, CFA) 39
4.4 Reliability and Validity (信度與效度) 45
4.5 Common Method Variance (共同方法變異檢定, CMV) 54
4.6 SEM模型評估 60
4.7 SEM模型估計 (適配度報告) 66
第五章 86
5.1結論 86
5.2未來研究建議 87
參考文獻 88
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