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> t(45) = 3.44, d = 1.02, p = .01 I know this is probably extremely simple statistics, but what are these terms?
by LukeWalsh 13y ago
> t(45) = 3.44, d = 1.02, p = .01
I know this is probably extremely simple statistics, but what are these terms?
- nsp 13y ago> t(45) = 3.44, d = 1.02, p = .01 I know this is probably extremely simple statistics, but what are these terms? They're metrics about the strength of the finding - depending on the statistical method you're using, you'll get different ones. They're using ANOVA (analysis of variance) here, which basically compares likelihood mean result of two cohorts is the same. T(45) gives the t score, which is a measure of deviations from the mean, so 3.5 higher than you'd expect if the populations were the same. p values is probability it occurred by chance(given equal populations), so 1% in this case, which is pretty strong. I'm not positive on d, but I think it's a measure of variance within the groups. Disclaimer: was an Econ major in college but haven't used anova in a long time, I am not a statistician, this is not statistical advice. http://en.m.wikipedia.org/wiki/Analysis_of_variance http://en.m.wikipedia.org/wiki/Analysis_of_variance