hrivera at alumni.virginia.edu
Wed Sep 21 00:01:09 UTC 2016
So it's this:
In statistics, a *confounding variable* (also *confounding factor*, a
*confound*, a *lurking variable* or a *confounder*) is an extraneous
variable <https://en.wikipedia.org/wiki/Extraneous_variable> in a statistical
model <https://en.wikipedia.org/wiki/Statistical_model> that correlates
<https://en.wikipedia.org/wiki/Correlate> (directly or inversely) with both
the dependent variable <https://en.wikipedia.org/wiki/Dependent_variable>
and the independent variable
<https://en.wikipedia.org/wiki/Independent_variable>, in a way that
"explains away" some or all of the correlation between these two variables.
I've only heard about it in the context of experiments and statistics.
While Spike is a Renaissance man, he still may not have been exposed to
Research Design instruction like us psychologists.
On Tue, Sep 20, 2016 at 7:19 PM, William Flynn Wallace <foozler83 at gmail.com>
> If you are familiar with this term you may stop reading now.
> Spike and I went back and forth a few times, and it turns out that he has
> not heard of it. Certainly he knows the idea:
> Add two variables to a situation and no matter what happens you can't tell
> the effect of one from the other.
> Psych uses confounding to describe this, but I'd like to find out who else
> does, or if they don't, do they have a word for the idea.
> bill w
> extropy-chat mailing list
> extropy-chat at lists.extropy.org
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