A group of statistical techniques that test the difference of means between three or more groups. This is an extension of Student t-test statistic
Type
- one-way ANOVA: compares the means of 1 continuous dependent variable in three or more groups that are represented by 1 categorical variable.
- two-way ANOVA: compares the means of 1 continuous dependent variable in three or more groups that are represented by 2 or more categorical variables.
Notice that relationships are unpacked into pairs of hypotheses below
Combination of tests
- Conduct simple regression to determine IF and by HOW MUCH independent variables impact the dependent variable
- Then we use Student t-test statistic or analysis of variance to test if the relationship identified is due to chance. Student t-test statistic can test if two means (from two groups) are statistically different, ANOVA can apply to categorical variables (where each has more than 2 groups)
- Then we can conduct post-hoc test like Turkey’s HST