also, if you fail to instruct students about them ... others will claim that you are not providing adequate instruction
so, i would say that we are in a real bind ...
try getting an empirical sort of article published ... or even considered ... without them
what if you wanted to use confidence intervals in your paper ... and decided that NO null hypotheses were necessary to make your points ... the editors would NOT let your article into their journal
there is a dominant ... clear ... editorial and publishing bias ... that dictates that you MUST talk about statistical significance ... you really have no choice IF you want to publish in refereed sources
that is NOT proof that p values are useful or valuable ...
i can say that when i look at a paper ... it is not the statistics that my attention is drawn to ... it is/are the method or methods they have used that produce the data/results
rarely can "bad" statistics kill you BUT, far too often, using bad methods for collecting data or ... losing control over your (experimental) conditions will do it faster than you can shout ... p value
At 04:20 PM 3/24/2003, Jerry Dallal wrote:
In some recent threads, many people have been critical of P values. While I don't base decisions solely on P values, I find them useful. I use P values in my work.
So, I ask those critical of P values, "Do you use them in your work?" I'm not asking whether you are aware of them, but whether you generate them and report them as part of your assessment of data. I do. Do any of those who are critical of P values avoid using them altogether? If so, what do you do instead? This is not a question about what we might like to do or what would be preferable from a theoretical viewpoint. I'm curious to hear what people actually do when analyzing data.
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_________________________________________________________
dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
http://roberts.ed.psu.edu/users/droberts/drober~1.htm
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