If you select the Bartlett Test option from the red triangle menu, hypothesis tests (Bartlett Test) are given for each eigenvalue (Jackson, 2003).

Shows the results of the homogeneity test (appended to the Eigenvalues table) to determine if the eigenvalues have the same variance by calculating the Chi-square, degrees of freedom (DF), and the p-value (prob > ChiSq) for the test. See Bartlett (1937).

Shows or hides the summary information produced in the initial report. This information in shown in Principal Components on Correlations Report.

Shows a matrix of scatterplots of the scores for pairs of principal components for the specified number of components. This plot in shown in Principal Components on Correlations Report (left-most plot).

Shows a matrix of two-dimensional representations of factor loadings for the specified number of components. The loading plot labels variables if the number of variables is 30 or fewer. If there are more than 30 variables, the labels are off by default. This information in shown in Principal Components on Correlations Report (right-most plot).

The variables show as rays in the plot. These rays, called biplot rays, approximate the variables as a function of the principal components on the axes. If there are only two or three variables, the rays represent the variables exactly. The length of the ray corresponds to the eigenvalue or variance of the principal component.

Performs factor analysis-style rotations of the principal components, or factor analysis. See the Factor Analysis chapter in the Consumer Research book for details.

Contains options that are available to all platforms. See the Using JMP book.