1. Use robust regression analog to the ancova model. 2. Use bootstrap/resampling for parameter estimates within the ancova. 3. If it makes sense to do so, consider transforming scores on the DV
The recommendation is that when the Levene’s test is significant (indicating a violation of the assumption of homogeneity of variance), then use Brown & Forsythe’s test and if this is also significant, then accept and report the results of the latter. The Bartlett’s test of homogeneity of variance has largely been replaced by the Levene

Homogeneity of variance test. Follow these steps to perform the homogeneity of variance test: Select Analyze -> Compare Means -> One-Way ANOVA…. Transfer score [number of words recalled] to Dependent List:. Transfer Group Membership [group] to Factor. Click on Options and select Homogeneity of variance test. Click Continue and click OK.

Descriptive statistics: observed means, standard deviations, and counts for all of the dependent variables in all cells; the Levene test for homogeneity of variance; Box's M test of the homogeneity of the covariance matrices of the dependent variables; and Bartlett's test of sphericity. Plots Spread-versus-level, residual, and profile
The technical term is "homogeneity of variance," or HOV. The GLM procedure in SAS can perform Bartlett's test for homogeneity of variance. The documentation has a discussion and example that shows how to use Bartlett's HOV test. Bartlett's sphericity test is different. Loosely speaking, the test asks whether a correlation matrix is the identity
The levene's test is for checking the equality of variances. A non-significant p value of levene's test show that the variences are indeed equal and there is no difference in variances of both groups. . 101 640 352 490 811 466 357 122

how to test homogeneity of variance in spss