300 subjects and 300 variables. Groupings and respondent's membership are produced. Up to a 60 stimuli by 60 stimuli matrix. Accommodates 60 variables for large data sets. CORrespondence ANalysis consists of techniques for mapping two way contingency tables for large data sets.
Correspondence analysis finds the best simultaneous representation of the categorical data.
This algorithm double centers the data producing more accurate representations of structure. 50 variables and 32,000 subjects. SPSS mainframe commands support extensive data manipulation. Up to 50 variables and 32,000 subjects. SPSS mainframe commands support extensive data manipulation capabilities.