private message. This is the way your post looks to a Usenet-standard reader -- You are supposed to turn off HTML generation. I won't try to answer it in public.
On 13 Apr 2004 10:11:03 -0700, in sci.stat.edu you wrote: > <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> > <html> > <head> > <meta http-equiv="Content-Type" content="text/html;charset=ISO-8859-1"> > <title></title> > </head> > <body text="#3333ff" bgcolor="#ffffff"> > I have a question about the levels of measurement in a multi-level > regression model. <span style="font-size: 12pt; font-family: "Times New > Roman";">The sampling > frame is a representative cross > section of students throughout the </span><st1:country-region><st1:place><span > style="font-size: 12pt; font-family: "Times New Roman";">United > States</span></st1:place></st1:country-region><span style="font-size: 12pt; > font-family: "Times New Roman";"> at each > grade level.<span style=""> > </span>The three selection stages are: (1) geographic areas or primary > sampling > units (PSUs), (2) schools within PSUs, and (3) > students within sampled schools.<br> > <br> > </span>As for my model, I have an individual level measure of alcohol > consumption which is ordinal. I also have a school level measure of > alcohol consumption, which is an aggregate of the individuals within a > school--also ordinal. Then I have a Primary Sampling Unit variable on > a scale from 1 to 72. This third level measure is the one I am > confused about. It is not an ordinal measure, it is a nominal > measure. How do I handle that in the regression? It is unreasonable > to dummy code this variable.<br> If it is unreasonable to dummy code this variable, then what are you wondering about it? - Do you have enough data that you can do regressions in the 72 Units separately, and consider whether they are homogeneous? That was a neat option in BMDP. -- Rich Ulrich, [EMAIL PROTECTED] http://www.pitt.edu/~wpilib/index.html . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
