filsp Posted December 4, 2015 Posted December 4, 2015 Hello! I'm currently writting my thesis. I have already done the quantitative research and now I'm using SPSS to reach some conclusions. Currently I have near 10 variables and I would like to know how they differ between the 2 generations that I have studied. Which analysis do you suggest me to do? (I tried "compare means - One way ANOVA"- post hoc; but since I only have two "groups"/two generations, it does not allow me to do the analysis). Thanks in advance.
shadowclaw Posted December 5, 2015 Posted December 5, 2015 When you have two groups, a t-test is appropriate. This should be listed as "independent samples t-test" in SPSS. However, since you have so many variables, it would be better to use a multivariate version of the t-test rather than doing 10 univariate tests. Hotelling's T2 is essentially the multivariate version of the Student's t-test. However, I do not know how to do this in SPSS and I believe it requires using the syntax editor. I'm sure there is a tutorial available on the internet. It is also very easy to do in R.
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