I wonder if you mean Alpha values? p-values are what they are and only tell you how likely the relationship expressed in your statistical test is to be repeated. The alpha value is an apriori set value used in decision theory. If you set alpha to 0.05, then you state that if the p </= 0.05....bla bla.
Is this what you were meaning? I didn't so far notice anyone arguing p-values. But, maybe I missed an email. On Tue, Mar 1, 2011 at 8:24 AM, Jeff Houlahan <jeffh...@unb.ca> wrote: > Hi Chris and all, I actually think that it's a mistake to diminish the role > of p-values. My opinion on this (stongly influenced by the writings of Rob > Peters) is that there is only one way to demonstrate understanding and that > is through prediction. And predictions only demonstrate understanding if > you make better predictions than you would make strictly by chance. The > only way to tell if you've done better than chance is through p-values. So, > while there is a great deal more to science than p-values, the ultimate > tests of whether science has led to increased understanding are p-values. > Best. > > Jeff Houlahan > Dept of Biology > 100 Tucker Park Road > UNB Saint John > -- Malcolm L. McCallum Managing Editor, Herpetological Conservation and Biology "Peer pressure is designed to contain anyone with a sense of drive" - Allan Nation 1880's: "There's lots of good fish in the sea" W.S. Gilbert 1990's: Many fish stocks depleted due to overfishing, habitat loss, and pollution. 2000: Marine reserves, ecosystem restoration, and pollution reduction MAY help restore populations. 2022: Soylent Green is People! Confidentiality Notice: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.
