I, like many people, dislike statistical significance testing. I would much rather measure "practical significance" / effect size.
The problem is that I do not know of a "standard" way of doing so. Many people say that there is no standard way to measure practical significance -- it all depends on the problem. I completely agree, but I need to be able to cite someone authoritative to back up what I am doing. I think this is the reason that statistical significance testing is so prevalent -- there is a standard way of doing it: p < .05. So anyone can do it with little thinking. The way to get practical significance testing to be more popular might be to take a similar approach.
More specifically, I often need to see if two percents are practically different from each other. What is a good way of doing so -- something with an authoritative citation and which is easy to explain intuitively?
Odds ratio? What's a good citation for using it to measure practical significance? In health / social sciences would be a plus. Odds ratios are difficult to present intuitively though. Ideas on that?
Going one step further, what is a good "standard" / "magical" threshold for an OR (or whatever measure you like)? Like .05 for statistical significance testing. I know, I know, it depends on the problem. But is there a "standard" one with a good citation?