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Publication date: 04/21/2023

Statistical Details for Canonical Calculations

This section contains details for the canonical calculations used in the Manova personality of the Fit Model platform.

Details for the Test Details Option

When you select the Test Details option for a given test, eigenvalues, canonical correlations, and eigenvectors are shown in the report.

The canonical correlations produced by the Test Details option are computed as follows:

Equation shown here

where λi is the ith eigenvalue of the E-1H matrix used in computing the multivariate test statistics

The matrix labeled Eigvec is the V matrix, which is the matrix of eigenvectors of E-1H for the given test.

Note: The E and H matrices for the given test refer to MEM and MHM in terms of the original E and H matrices. The M matrix is defined by the response design. The E and H used in this section are defined in Statistical Details for Multivariate Tests.

Details for Centroid Plot Option

The total sample centroid and centroid values for effects are computed as follows:

Grand = Equation shown here

Effectj = Equation shown here

where

Equation shown here

N is the number of observations

vi is the ith column of V, the eigenvector matrix of E-1H for the given test

Equation shown here is the multivariate least squares mean for the jth effect

Equation shown here is the overall mean of the responses

g is the number of eigenvalues of E-1H greater than 0

r is the rank of the X matrix

Note: The E and H matrices for the given test refer to MEM and MHM in terms of the original E and H matrices. The M matrix is defined by the response design. The E and H used in this section are defined in Statistical Details for Multivariate Tests.

The centroid radii for effects are calculated as follows:

Equation shown here

where g is the number of eigenvalues of E-1H greater than 0 and the L matrices in the denominator are from the multivariate least squares means calculations.

Details for the Save Canonical Scores Option

The canonical Y values are calculated as follows:

Equation shown here

where

Y is the matrix of response variables

M is the transpose of the response design matrix

V is the matrix of eigenvectors of E-1H for the given test

Note: The E and H matrices for the given test refer to MEM and MHM in terms of the original E and H matrices. The M matrix is defined by the response design. The E and H used in this section are defined in Statistical Details for Multivariate Tests.

Canonical Y values are saved for eigenvectors corresponding to eigenvalues larger than zero.

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