The Multiple Correspondence Analysis Report

The initial MCA report shows the variable summary, correspondence analysis plot, and details of the dimensions of the data in order of importance. From the plot of the cloud of categories or individuals, you can identify associations that exist within the data. The details provide information about whether the two dimensions shown in the plot are sufficient to interpret the relationships within the data.

The Variable Summary in an interactive panel that allows you to modify your analysis without relaunching the platform. The panel shows the columns and roles used in the analysis. If you select the Show Controls check box, a list of the columns in the data table appears to the left. You can change the columns in the analysis either by selecting a column and clicking Add Y, Add X, Add Z, or Add ID. Or you can drag the column to the header in the variable summary table. This enables you to modify the analysis without returning to the launch window.

Figure 7.5 Multiple Correspondence Analysis Report with Show Controls Selected