As it mentioned in the statistical literature, we don't need to check homogeneity of variance in paired samples. Actually, to be constant of variance of difference variable is enough. I suggest

Homogeneity (equality) of variance: The variances (SD squared) should be similar for all the groups. The Levene’s test is carried out if the Homogeneity of variance test option is selected in the Options menu. If p > 0.05, equal variances can be assumed. If p < 0.05, the results of the ANOVA are less reliable. One

This video shows how to interpret the results of Levene's equal variance test in SPSS. Levene's test is commonly used in assessing the assumption of equal va

Click on the button and you will be returned to the Univariate dialogue box. Click on the button. This will generate your output. Now that you have run the General Linear Model > Univariate procedure to carry out a one-way ANCOVA, go to the Interpreting Results section on the next page. Independent variable #2 : Different 3 conditions. Dependent variable : Elasticity of tissues (n=23) At first, my data showed not a normality, so I transformed to log10 and became good normal distribution. However, Levene's test showed that the data violated homogeneity of variance. The sample sizes in three different conditions are all the same. Levene’s Test is used to determine whether two or more groups have equal variances. It is widely used because many statistical tests use the assumption that groups have equal variances. This tutorial explains how to perform Levene’s Test in SPSS. Example: Levene’s Test in SPSS
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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

GFOI.
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  • how to test homogeneity of variance in spss