We could use a chi-square test for homogeneity to determine whether male viewing preferences differed significantly from female viewing preferences. The at the end of the lesson considers this example. If sample data are displayed in a (Populations x Category levels), the expected frequency count for each cell of the table is at least 5.
1 A summary of the assumptions of multiple regression analysis Assumptions SPSS Statistics References 1 1) The dependent variable - an interval or ratio variable
ANOVA is the omnibus test of mean differences among groups. While, in name, ANOVA analyzes the variance (between, within, and overall) among three or more groups, its hypotheses actually make statements about the equality of means versus there being "at least two means different." Share. Cite. Improve this answer.
This is because to make sure our estimates of the parameters that define our model and significance tests are accurate, we have to assume homoscedasticity (also known as homogeneity of variance). 3. Imagine you conduct a t-test using IBM SPSS and the output reveals that Levene’s test for equality of variance is significant.
Levene's Test: if homogeneity of variance can't be assumed for one (or more) dependent variables, then use an alpha level stricter than .05 (ie: use .001) when you evaluate the univariate ANOVAs.
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how to test homogeneity of variance in spss