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Re: st: Intraclass Correlation for an Independent Variable?
From
Steve Samuels <[email protected]>
To
[email protected]
Subject
Re: st: Intraclass Correlation for an Independent Variable?
Date
Wed, 11 Aug 2010 17:05:48 -0400
The reviewer could well want to know if the plant differences in the X
means are real. So, yes, he or she could really mean "X". This is
the kind of question you'd test with a one-way ANOVA, or KW. You will
need the data from the individual worker X measurements, or the
plant-specific sample sizes and variances.
Steve
On Wed, Aug 11, 2010 at 4:36 PM, Lloyd Dumont <[email protected]> wrote:
> Hello. I have gotten a confusing note from a reviewer, confusing in part because I think he/she is using the wrong terminology.
>
>
> In a nutshell…
>
> I am running a cross-sectional time series model (on a dataset of plant-months) of a continuous variable Y measured at the plant level where the focal, continuous independent variable is X. X is also at the plant-level, but is time-constant. X is formed by taking the mean level of X from all of the individual workers in each plant.
>
> The reviewer suggests that I include some measure of within versus between plant variance in X. This would bolster the case that there is a genuine difference across plants rather than average differences simply reflecting noise. He/she then goes on to suggest I do this by reporting intraclass correlations (ICCs).
>
> As far as I understand it, ICCs (or rho) describe the variance in Y, not X. If I am right, then the reviewer did not mean ICC.
>
> Rather, he/she wants me to go back to the dataset of individuals (not plant-months) and wants me to run some simple analysis to show that there is clustering of values for X by clinic.
>
> Am I correctly understanding what the reviewer is asking for? And, if so, what is the simplest way to demonstrate the sort of dependence he/she is hoping to see?
>
> Thank you for your help. Lloyd
>
>
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--
Steven Samuels
[email protected]
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