Click on the topic to read Sam's tips from the book
The independent t-test
The independent t-test compares two means, when those means have come from different groups of entities.
You should probably ignore the column labelled Levene’s Test for Equality of Variance and always look at the row in the table labelled Equal variances not assumed.
Look at the column labelled Sig. If the value is less than 0.05 then the means of the two groups are significantly different.
Look at the table labelled Bootstrap for Independent Samples Test to get a robust confidence interval for the difference between means.
Look at the values of the means to see how the groups differ.
A robust version of the test can be computed using syntax.
A Bayes factor can be computed that quantifies the ratio of how probable the data are under the alternative hypothesis compared to the null.
Calculate and report the effect size. Go on, you can do it!J
Paired-samples t-test
The paired-samples t-test compares two means, when those means have come from the same entities.
Look at the column labelled Sig. If the value is less than 0.05 then the means of the two conditions are significantly different.
Look at the values of the means to tell you how the conditions differ.
Look at the table labelled Bootstrap for Paired Samples Test to get a robust confidence interval for the difference between means.
A robust version of the test can be computed using syntax.
A Bayes factor can be computed that quantifies the ratio of how probable the data are under the alternative hypothesis compared to the null.
Calculate and report the effect size too.
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