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Re: st: Intraclass Correlation for an Independent Variable?


From   Steve Samuels <sjsamuels@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Intraclass Correlation for an Independent Variable?
Date   Wed, 11 Aug 2010 17:47:13 -0400

I didn't read the second part of your message closely enough.  ICCs
can be computed for any variable measured in groups,and the reviewer's
terminology is impeccable.  -loneway- should do what you want. But
"search intraclass, all" will find some extensions.

Steve

On Wed, Aug 11, 2010 at 5:05 PM, Steve Samuels <sjsamuels@gmail.com> wrote:
> 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 <lloyddumont@yahoo.com> 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
> sjsamuels@gmail.com
> 18 Cantine's Island
> Saugerties NY 12477
> USA
> Voice: 845-246-0774
> Fax:    206-202-4783
>



-- 
Steven Samuels
sjsamuels@gmail.com
18 Cantine's Island
Saugerties NY 12477
USA
Voice: 845-246-0774
Fax:    206-202-4783

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


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