On 4 Jan 2001 20:53:04 -0800, [EMAIL PROTECTED] (Will Hopkins)
wrote:
Rich, thanks for those comments. I have a few remarks in reply.
(me)
If you have a criterion (reaction time, etc.) where you average dozens
or hundreds of observations to make a point to be analyzed, the
"effect size"
I think I've resolved this question with a colleague. We likened the
heritability of a given trait, for example, jump height, to the
relationship between that trait and some other explanatory variable,
such as leg length. The R^2 for leg length explaining jump height
might be 0.36. Now,
On 3 Jan 2001 15:07:31 -0800, [EMAIL PROTECTED] (Will Hopkins)
wrote:
I'm a newcomer to understanding and calculating heritability and
related statistics. I notice that heritability is a
variance-explained statistic (variance attributed to inheritance
divided by total between-subject
Rich, thanks for those comments. I have a few remarks in reply.
If you have a criterion (reaction time, etc.) where you average dozens
or hundreds of observations to make a point to be analyzed, the
"effect size" is magnified by averaging. That is, if you can change
an average by .01, that
I'm a newcomer to understanding and calculating heritability and
related statistics. I notice that heritability is a
variance-explained statistic (variance attributed to inheritance
divided by total between-subject variance). In the sphere of
experimental research, variance explained
