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Levene's test

 

Explanations > Social ResearchAnalysis > Levene's test

Description | Discussion | See also

 

Description

Levene's test is used to assess Variance homogeneity, which is a precondition for parametric tests such as the t-test and ANOVA.

The test can be used with two or more samples. With two samples, it provides the test of variance homogeneity for the t-test. With more samples, it provides the test for ANOVA.

If the significance from this test is less than 0.05, then variances are significantly different and parametric tests cannot be used (and a non-parametric test will probably have to be used).

Discussion

Levene's test works by testing the null hypothesis that the variances of the group are the same. The output probability is the probability that at least one of the samples in the test has a significantly different variance. If this is greater than a selected percentage (usually 5%) then it is considered too great to be able to usefully apply parametric tests.

SPSS easily provides the Levene's test statistic for parametric tests that need it.

See also

Variance homogeneity test

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