A different test, called the test for homogeneity, can be used to draw a conclusion about whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The expected value for each cell needs to be at least five in order for you to use

One-Way ANOVA is a parametric test. This test is also known as: One-Factor ANOVA. One-Way Analysis of Variance. Between Subjects ANOVA. The variables used in this test are known as: Dependent variable. Independent variable (also known as the grouping variable, or factor ) This variable divides cases into two or more mutually exclusive levels
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.

Before calculating the significance level, Mauchly's test is used to assess the homogeneity of the variance (also called sphericity) within all possible pairs. When P value of Mauchly's test is insignificant (P ≥ 0.05), equal variances are assumed and P value for RMA would be taken from sphericity assumed test (Tests of Within-Subjects effects).

Secondly, conduct separate one ANOVA, and use Welch F test, and post hoc Games-Howell. report homogenity of variance violated so I used Welch F test and games-howell. In spss equality of means
A newer graphical tool is the Violin Plot, which represents the data in a unique way that allows visualization of normality and homogeneity of variance by enclosing data in a single shape for each comparison group. Simply examining the symmetry and size of the shapes will reveal if data conforms to a normal distribution with homogeneous gisORP.
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    • how to test homogeneity of variance in spss