Independent Samples t-test
- First, assess the Normality of the variable in terms of groups.
- If both data are normal then:
- Compare means
- Independent t-test
- Input the test variable
- Input the grouping variable (the group where you want differences)
- Define groups
- Look at Levene’s Test for Equality of Variances first where two options are available
- Equal variances assumed
- Equal variances are not assumed
- To know which row to choose, check the value of F in Levene’s Test for Equality of Variances and its significance.
- If the value of F is significant (value less than 0.05), we will take the scores on equal variance is not assumed (lower row)
- If the value is not significant (value more than 0.05), equal variance is assumed (upper row)
- After choosing the row, look for the significance of the t-test.
- If it is significant then the t score indicates the difference between the two independent groups.