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.