Each group is an independent random sample from a normal population. Analysis of variance is robust to departures from normality, although the data should be symmetric. The groups should come from populations with equal variances. To test this assumption, use Levene's homogeneity-of-variance test. Obtaining a One-Way analysis of variance
Therefore, all variances are equal and the Levene's test gives a non-significant result. When standardizing the whole set of data, the variances are all scaled by the same factor. Their relationship remains the same as before standardization, i.e. the outcome of any test of homogeneity of variance remains the same.Levene’s test of homogeneity of variances tests whether the variance in scores is the same for each of the three groups. If the Sig. value is greater than .05, you have not violated the assumption of homogeneity of variance. If you have violated this assumption, check the Robust Tests of Equality of Means and use Welch and Brown-Forsythe tests.
Displays the standard deviation, standard error, and 95% confidence interval for the fixed-effects model, and the standard error, 95% confidence interval, and estimate of between-components variance for the random-effects model. Homogeneity of variance test Calculates the Levene statistic to test for the equality of group variances.
jL18. 359 314 47 273 269 4 179 263 497