Hi I do think there are places where qualifiers to significant (or statistically significant) are appropriate. An effect that has p = .002 is quite different in my mind than p = .048, and "highly significant" vs "significant" would appear to capture that. Indeed isn't that the logic behind APA's recommendation to report specific p values? And to say that an effect is "marginally significant" or "approached significance" for p = .055 strikes me as appropriate especially when you know the test has weak power (e.g., tests of interactions that do not conform to X pattern) and you plan follow-up analyses (e.g., planned contrasts for main effects, simple effects or partitioning interaction). I'm not sure that we give a very realistic impression about the nature of statistics striving to adhere strictly to the mathematical preciseness of the tests under ideal conditions.
Take care
Jim
James M. Clark
Professor & Chair of Psychology
j.cl...@uwinnipeg.ca
Room 4L41A
204-786-9757
204-774-4134 Fax
Dept of Psychology, U of Winnipeg
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>>> Marc Carter <marc.car...@bakeru.edu> 22-Apr-13 1:03 PM >>>
Hi, All --
A poll:
Am I being too picky about the use of the phrase, "highly significant" (or
something similar) when it's used to describe a very low-probability result?
It sort of drives me crazy; all I can hear is my graduate math stats teacher
threatening to kill us if we ever said something like that. I still read it in
papers and it's like fingernails on a chalkboard.
But perhaps I should just chill out?
What do you think?
m
--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts & Sciences
Baker University
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