Click on the Options Button. Check off Descriptives, Homogeneity of variance test, and Means plot. Click Continue to save your choices. Click OK to run the test (results will appear in the output window). Interpreting the Output. Running the above steps will generates a large output with multiple sections.
If the sample sizes are unequal (generally if the largest sample is more than 50% bigger than the smallest), Box’s Test can be used to test for homogeneity of covariance matrices (see Box’s Test). This is an extension of Bartlett’s Test as described in Homogeneity of Variances. As mentioned there, caution should be exercised and many
1. You may be confusing the assumption of "homogeneity of variances" (explanatory variable has distinct groups as in ANOVA) with the assumption of "homoskedasticity" (explanatory variable is continuous as in regression). Levene's test cannot test the latter assumption. See this answer for details.
Homogeneity of variance is assessed using Levene's Test for Equality of Variances. In order to meet the statistical assumption of homogeneity of variance, the p-value for Levene's Test should above .05. If Levene's Test yields a p-value below .05, then the statistical assumption of homogeneity of variance has been violated.
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ANOVA - Basic Formulas. For the sake of completeness, we'll list the main formulas used for the one-way ANOVA in our example. You can see them in action in this Googlesheet . We'll start off with the between-groups variance: SSbetween = Σ nj (X¯ ¯¯¯j − X¯ ¯¯¯)2 S S b e t w e e n = Σ n j ( X ¯ j − X ¯) 2. where.

Steps to Perform Bartlett’s Test. Bartlett’s Test uses the following null and alternative hypotheses: H 0: The variance among each group is equal. H A: At least one group has a variance that is not equal to the rest. The test statistic can be calculated as follows: B = (n-k)lns 2 – Σ(n j-1)lns j 2 / c. where:
Alternatively, you could run a Kruskal-Wallis H Test. For most situations it has been shown that the Welch test is best. Both the Welch and Brown and Forsythe tests are available in SPSS Statistics (see our One-way ANOVA using SPSS Statistics guide). A lack of independence of cases has been stated as the most serious assumption to fail.
Figure 1: Output of Mauchley’s test from SPSS version 7.0 Figure 1 shows the result of Mauchley’s test on some fictitious data with three conditions (A, B and C). The result of the test is highly significant indicating that the variance between the differences were significantly different. The table also displays the degrees of freedom (the df Cara Uji Homogenitas dengan SPSS (Levene Test) Uji homogenitas adalah suatu uji yang dilakukan untuk mengetahui bahwa dua atau lebih kelompok data sampel berasal dari populasi yang memiliki varians sama (homogen). Dalam buku yang ditulis Sudjana (2005:250), uji homogenitas dapat dilakukan dengan uji levene, fisher atau uji bartlett. CIBt.
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    • how to test homogeneity of variance in spss