I need to state that there is no difference between the outcomes of the two tests (method 1 = fast and simple, method 2 = slow and hard to reproduce). I thought that a non-significant t-test would be enough, but I was wrong (can't affirm that a non-significant t-test means equivalence). So I've found the TOST (two one-sided t-tests) or equivalence test. Anyway, I'm struggling to get it correctly.
The TOST test examines the means, standard deviation and effect size (Cohen's d) to state that the values are equivalent. But, since I have almost the same results between method 1 and method 2, the Cohen's d will be obviously lower, so it does not allow me to compute the equivalence.
Am I doing something wrong?
mean_1=43.08649, mean_2=42.59865, sd_1=8.060118, sd_2=8.441185, n_1=37, n_2=37