(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)
This came up in a research discussion the other day. Someone had produced some estimates, and there was a question: where are the conf intervals. I said that if you have replication and you graph the estimates that were produced, then you don’t really need conf intervals (or, for that matter, p-values). The idea is that the display of the different estimates (produced from different years, or different groups, or different scenarios, or whatever) gives you the relevant scale of variation. In general, this is even better than confidence intervals in that the variation is visually clear and less assumption-based.
What I’m saying is, use the secret weapon.
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