Multiple Correlation Matrices
Multiple correlation matrices (also called stacked matrices) are an extension of the standard square matrix format (see Types of Matrices). The matrices are formatted in a sequence. Each matrix represents some measures of relations (such as correlation coefficients) for all pairs of specified variables for a specific group. For example, two matrices are shown in the following multiple correlation matrix (one for each group).
Example of a multiple correlation matrix file:
| Var 1 | Var 2 | Var 3 | |
| Var 1 | 1.00 | .20 | .30 |
| Var 2 | .20 | 1.00 | .10 |
| Var 3 | .30 | .10 | 1.00 |
| Means | 12 | 11 | 10 |
| Std. Dev | 3 | 5 | 2 |
| No. Cases | 50 | ||
| Matrix | 1 | ||
| Var 1 | 1.00 | .60 | .50 |
| Var 2 | .60 | 1.00 | .19 |
| Var 3 | .50 | .19 | 1.00 |
| Means | 24 | 17 | 30 |
| Ste. Dev. | 6 | 4 | 9 |
| No. Cases | 35 | ||
| Matrix | 1 |
Multiple correlation matrices can be used as input for analyses such as those in the Structural Equation Modeling module. Note that the order in which the matrices are displayed in the spreadsheet depends on the order in which the codes are specified in the Select codes for grouping variable dialog box.
You can also manually create a multiple correlation matrix by entering the correlations into a regular spreadsheet and including after each matrix, the last four cases that describe the matrix.