IPMA-RG在教育研究之應用

Using IPMA-RG in Educational Research

葉連祺
Lain-Chyi Yeh

Doi：10.6925/SCJ.202012_16(4).0003


所屬期刊： 第16卷第4期 主編：國立臺灣師範大學師資培育學院院長
洪儷瑜
系統編號： vol063_03
主題： 教育政策與制度
出版年份： 2020
作者： 葉連祺
作者(英文)： Lain-Chyi Yeh
論文名稱： IPMA-RG在教育研究之應用
論文名稱(英文)： Using IPMA-RG in Educational Research
共同作者：
最高學歷：
校院名稱：
系所名稱：
語文別：
論文頁數： 38
中文關鍵字： 教育領導；教育管理；重要－表現圖示分析；重要－表現矩陣分析
英文關鍵字： educational leadership；educational management；importance-performance map analysis；importance-performance matrix analysis
服務單位：
稿件字數： 18385
作者專長：
投稿日期： 2020/4/22
論文下載： pdf檔案icon
摘要(中文)： 重要－表現圖示分析（IPMA）可依據設定的變項間因果關係去分類變項，利
於教育領導和管理決策參考，但限制為IPMA 有賴應用特定軟體和具備高階統計
方法知能。對此，採擷IPMA 理念，提出IPMA-RGc 和IPMA-RGi，其應用多元
迴歸分析和一般統計軟體，堪稱簡便使用。本文說明其分析理念、相關課題和分
析流程，也提出使用IPA、IPGA、IPMA-SEM 和IPMA-RG 的整合決策流程。另
應用教育領導研究實例資料進行分析，顯示IPMA-RGc 和IPMA-RGi 分析品質良
好。
摘要(英文)： Importance-performance map analysis (IPMA) can classify variables based on the casual relationship between variables, are useful for decision making in educational leadership and management. But its limits are rely on using specific software and need knowledge and capabilities of advance statistical methods. So the study adopted the idea of IPMA, proposed IPMA-RGc and IPMA-RGi which using multiple regression analysis and general statistical software are easy to use. This study illustrated analytic ideas, related topics, and analytic procedures about IPMA-RG, and also showed an integrated decision-making procedure for conducting IPA, IPGA, IPMA-SEM and IPMA-RG.
Moreover a practical research data of educational leadership was used to test IPMA-RG, results showed both IPMA-RGc and IPMA-RGi are good.
參考文獻： 陳寬裕、巫昌陽、林永森、高子怡（2012）。澎湖目的地意象之關鍵屬性確認：
基於結構方程模型的IPA 方法。觀光休閒學報, 18(2)，163-187。
葉連祺（2007）。國中小校長情緒智慧領導能力之比較。當代教育研究，15(1)，
39-76。
葉連祺（2018）。教育行政學位論文應用計量分析方法改善及相關量化分析發展。
學校行政，116，147-211。doi:10.6423/HHHC.201807_(116).0007
葉連祺（2020）。教育領導與管理研究應用IPA、IPGA 與IPMA。學校行政，
125，118-209。doi:10.6423/HHHC.202001_(125).0007
Ahmad, S., & Afthanorhan, W. M. A. B. W. (2014). The importance-performance matrix analysis in partial least square structural equation modeling (PLS-SEM) with SmartPLS 2.0 M3. International Journal of Mathematics Research, 3(1), 1-14.
Goleman, D., Boyatzis, R., & McKee, A. (2002). Primal leadership: Realizing the power of emotional intelligence. Boston, NY: Harvard Business School Press.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: SAGE publications.
Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced issues in partial least squares structural equation modeling. Thousand Oaks, CA: SAGE publications.
Kim, M. (2019). On utilizing PLS-SEM based IPM method: Focused on export competitiveness factor. Journal of Digital Convergence, 17(7), 43-47.
Martensen, A., & Gronholdt, L. (2003). Improving library users’ perceived quality, satisfaction and loyalty: An integrated measurement and management system. The Journal of Academic Librarianship, 29(3), 140-147.
Martilla, J. A., & James, J. C. (1977). Importance-performance analysis. The Journal of Marketing, 41(1), 77-79.
Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865-1886.
Siagian, R. C., & Ayuningtyas, D. (2019). Gap analysis for drug development policymaking: An attempt to close the gap between policy and its implementation. PloS One, 14(8), e0220605. doi:10.1371/journal.pone.0220605
Streukens, S., Leroi-Werelds, S., & Willems, K. (2017). Dealing with nonlinearity in importance-performance map analysis (IPMA): An integrative framework in a PLSSEM context. In H. Latan & R. Noonan (Eds.), Partial least squares path modeling: Basic concepts, methodological issues and applications (pp. 367-403). Cham, Switzerland: Springer International Publishing.