Provides correspondence analysis reports. These reports give the plots, details, coordinates, and summary statistics. See Additional Examples of the Multiple Correspondence Analysis Platform.
Provides the Burt table or contingency table as appropriate for variable roles selected. See Cross Table.
Contains options that are available to all platforms. See the Using JMP book.
Provides the details of the analysis including the singular values, inertias, ChiSquare statistics, percent, and cumulative percent. This report appears by default. See Show Detail.
Provides reports of the Benzecri and Greenacre adjusted inertia. See Benzecri (1979) and Greenacre (1984). This option is available only for MCA, that is all columns are Ys. See Show Adjusted Inertia.
Provides a report of up to the first three principal coordinates for the categories in the analysis, as appropriate. See Show Coordinates.
Provides a report of the summary statistics, Quality, Mass, and Inertia, for each category in the analysis. See Show Summary Statistics.
Provides a report of the contribution of each category to the inertia for each of up to the first three dimensions. See Show Partial Contributions to Inertia.
Provides a report of the squared cosines of each category for each of up to the first three dimensions. See Show Squared Cosines.
Shows the singular values in the singular value decomposition of the contingency table or Burt table. For the formula, see Statistical Details for the Details Report.
The principal inertias of a Burt table in MCA are the eigenvalues. The problem with these inertias is that they provide a pessimistic indication of fit. Benzécri proposed an inertia adjustment. Greenacre argued that the Benzécri adjustment overestimates the quality of fit and proposed an alternate adjustment. Both adjustments are calculated for your reference. See Statistical Details for Adjusted Inertia.
If there are columns specified as X, Factor variables, the Summary Statistics report displays tables of both X and Y with the same report headings. See Statistical Details for Summary Statistics.
Each category contributes to the inertia of each dimension. The partial contributions within each dimension sum to 1. If there are columns specified as X, Factor variables, the Partial Contributions to Inertia report displays tables of both X and Y with the same report headings. See Statistical Details for Partial Contributions to Inertia.
Expected frequency (E) of each cell under the assumption of independence. Computed as the product of the corresponding row total and column total divided by the grand total.