I have a small sample of 11 people and their results on 5 intelligence test subscales. My hypotheses are that subscale's 1 mean will be significantly different than subscales' 3, 4 and 5 means and that subscale's 2 mean will be different than subscales' 3, 4 and 5 means. Levene's test says variances of subscales are equal (p>0.05).
What is the best way to test these hypotheses, which test should I use in SPSS?
Well you have a few comparisons to make. I would check the attached booklet,
Best, David Booth
So, since I am testing my pre set hypotheses (confirmatory), 6 paired samples t-tests with holm-bonferroni correction should be adequate?
You can just use ANOVA to compare multiple means. In R you use function aov( ). You can check the following link on how you can use it in SPSS.
https://statistics.laerd.com/spss-tutorials/one-way-anova-using-spss-statistics.php
Tiantian Yang Could you please explain how can I use ANOVA if all my data is on a continuous scale? Thanks!
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