![]() For the example given above, this means that the F test for A*B*X represents an omnibus test for the A*X, B*X, and A*B*X effects. The covariate crossproduct reflects the collected sums-of-squares and degrees-of-freedom for all possible factor-by-covariate interactions. If the p-value is <.05 (or some other level that you have selected), then you should reject the assumption. ![]() In the resulting output, the test of HOS is based on the significance level of the covariate crossproduct in the Between Subjects Effects table. ![]() To run the commands, go to the menu in the SPSS Command Syntax Editor window and click Run->All. The highest order interaction is A*B, so you want to modify the DESIGN subcommand to readģ. The pasted command syntax will appear as follows. For example, suppose you want to run a two-way ANCOVA in which the factors are named A and B, the covariate is named X, and the dependent variable is Y. To test the assumption of homogeneity of regression slopes, I need to specify a model that includes the interaction between the covariate and independent variable. In the SPSS Command Syntax Editor window, modify the DESIGN subcommand by adding a term, which is the crossproduct of the highest-order interaction and the covariate. This action opens an SPSS Command Syntax Editor window in which the command equivalents of your dialog box selections appear.Ģ. However, instead of clicking OK, click PASTE. ![]() Set up the GLM Univariate dialog box just as you would for performing the ANCOVA. This is easy to do following a few simple steps.ġ. ![]()
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