IPMA-RG在教育研究之應用

Using IPMA-RG in Educational Research

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。

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.