What is the point of an ANOVA? It is overly complicated with a dozen little steps and, in the end, all it tells you is that at least one of the sample means differs from the rest. ANOVA doesn't tell you how many of the sample means are different or the degree of that difference. Seems like ANOVA is just a time suck; why not just do a series of t-tests in the first place, and save yourself a lot of grief? Further, since ANOVA only tells us that there is a difference, but it doesn't tell us which groups are different, what do researchers need to do to figure out where the difference lies?