In the Multiple Factor Analysis report, the Summary Plots section contains the following sections:
• The first section shows the eigenvalues of the consensus PCA with a plot of the cumulative percent of variance explained by each component. A consensus PCA is used to obtain a common representation of the blocks of data. Consensus PCA refers to the principal component solution of the weighted sub-tables and is used to obtain a common representation of the blocks of data.
• The middle section is a plot of factor scores with a marker for each row (item). If supplementary variables are used, there is a labeled marker for each level of the variables. Items that cluster together in this plot are considered to be similar.
• The third section is a loading plot of factor loadings for each block.
Tip: In the loading plot legend, click a block to highlight it in the plot.
Select dimension
Controls the dimensions plotted on the score and loading plots. The first control selects the horizontal dimension, and the second control selects the vertical dimension.