Re: [Synoptic-L] When is a correlation meaningful?
- Emmanuel Fritsch <emmanuel.fritsch@...>@... on 01/30/2002
Sent by: fritsch@...
Subject: Re: [Synoptic-L] When is a correlation meaningful?
> If I were trying to construct some sort of forecast of one variable,.5^2=.25 (exactly) and .7^2=.5 (approx.)
> based on the other, .7 might be a reasonable cut off. Half of the
> variation in one variable is explained by the other, at this level.
> ( .5^2 = appox. .7 )
*****Whoops. Thanks. I'll blame dyslexia for that. :o)
> However, our question is related to demonstrating a relationship,Some minor effects may be explaned from a composite authorship :
> positive or negative, exists. So for our purposes, any correlation
> with a sufficiently large p value should be accepted.
> Of course the correlations, even once accepted, could have more than
> one possible explanation. My opinion is that the major effects are
> related directly to authorship, but that there are other effects as
> well, artificially raising the confidence level might be one way to
> eliminate these, but it also makes the cut-off somewhat subjective,
> since we are now judging what results need to be excluded.
if two categories are correlated with r=0.15 (and p < .000056), it
may result from both categories sharing a common author, but only
on a small proportion of their extent.
Ph.D. Management Science candidate
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