Re: p-value / type I error

Posted by drfg2008 on Apr 11, 2011; 7:10pm
URL: http://spssx-discussion.165.s1.nabble.com/p-value-type-I-error-tp4296382p4296655.html

Thanks Paul, thanks Bruce, thanks Rich


Quote:
Fisher and Neyman-Pearson refer to two arguments concerning  testing, which most people do not bother to learn about.  Instead, we follow our journal's guidelines.

Well, the guidelines are suggested to be changed (Eid, Gollwitzer, Schmitt [1]). That’s why I’m asking.


Quote:
P is the probability of committing a type 1 error (…).

Well, to “commit an error” implies a decision. Then p would be exactly the same as a type 1 error.


Quote:
As Paul said, p = the probability of getting a result at least as extreme (i.e., at least as favorable to the alternative hypothesis) as the observed result IF the null hypothesis is true.  

Well, Paul’s definition refers to “committing a type 1 error”. Your definition is like the Wiki definition [1], which DOES NOT include a decision. It’s a result. So, you actually provided a different definition.


But my problem, and my question is, what is the DIFFERENCE of  p-value and type 1 error.


Thank you

[1] http://www.amazon.de/gp/product/362127524X/ref=s9_simh_gw_p14_d2_i1?pf_rd_m=A3JWKAKR8XB7XF&pf_rd_s=center-4&pf_rd_r=0RT36HX7Z27Q750V6PPC&pf_rd_t=101&pf_rd_p=463375133&pf_rd_i=301128

[2] http://en.wikipedia.org/wiki/P-value