Thanks for the reply... it's funny because I don't see anything mentioned about that in the Andy Field Discovering Statistics book. And that is supposed to be an introductory book.StatAdvice wrote:Normality tests didn't reject the normality hypothesis because of extremely small sample size. In fact the classical assumptions of parametric methods do not hold. No method works with such a small dataset. But nonparametric tests are recommended with small samples. But no matter which method you use, my prediction is that you will reveal no differences between 2 groups because of small sample size.
Bootstraping may help make you analysis more elegant (available in Stata and newer versions of SPSS, for instance).
StatAdvice wrote:The intuition behind this is that when your sample size is small condifence intervals for the means are wide and they will certainly intersect (in most real-world problems). So statistical tests won't reveal any differences - they are afraid of detecting differences on small samples.
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