標準型重要－表現分析廣受採用，其不適合無法負面評定資料，若缺少重要性資料，也需要採用衍生重要性資料替代。對此討論若干另類重要－表現分析法，包括修正重要－表現分析、負面重要－表現分析、迴歸分析本位重要－表現圖示分析、Ridit重要－表現分析等理論和分析做法。又藉助SPSS編程，提出分析程式，並結合實例資料，詮釋如何應用。

Importance-performance analysis (IPA) was prevailed used nowadays, but it’s not suitable for negative data. When importance data is deficient, it is necessary to replace with implicit importance data. So the study discussed theories and analytic methods about several alternative importance-performance analysis, which included revised importance-performance analysis (revised IPA, RIPA), negative importance-performance analysis (negative IPA, NIPA), importance-performance map analysis based on regression analysis (IPMA-RG) and ridit importance-performance analysis (ridit IPA, RIPA). Based upon SPSS programming, the study proposed some useful programs, and illustrated its applications with practical examples.