[EMAIL PROTECTED] (David C. Howell) wrote in message 
news:<[EMAIL PROTECTED]>...
> To Edstat-L list:
> 
> I was asked a question this morning that I can't answer (hardly a new 
> experience). It may be that the answer is obvious and that I just can't see 
> it, or that it is a question that does not have an easy answer.
> 
> It is well known how to test the difference between correlations in two 
> independent samples. It is also well known how to test the difference 
> between r(xy) and r(xz) by taking into account the correlation between y 
> and z. But what about the correlation between xy and time 1 and xy at time 
> 2? Presumably we need to take into account the lack of independence between 
> Time 1 and Time 2, which means the correlation between x1 and x2 and the 
> correlation between y1 and y2.
> 
> Can anyone tell me how to go about this? Am I just being blind?

You want the Pearson-Filon test. See Jim Steiger's 1980 Psych.Bull paper.
David Kenny's 1987 book also covers it, but there is a mistake in the formula
on p.280: the denominator should have Q/(1-r^2)^2, not Q(1-r^2)^2.
.
.
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