On 27 Jan 2004 14:08:21 GMT, [EMAIL PROTECTED] (Jkd304) wrote: > I'm fitting a repeated measures mixed model, so the explanatory variables are > the same for each variate. The subjects can be categorized into group A, B, C > etc.
That seems to indicate: multiple (randomized treatment? cross-sectional survey?) groups by multiple time periods/ conditions by multiple variables. That is more complicated than a beginner should begin with, so, I hope that you can use my terms to describe your data in terms that won't confuse me so much.... > Each group has a number of fixed effects parameters. I'm testing whether the > mean values of the estimated parameters in each group are different over all > responses, but i don't know the best way to describe the test. For instance, am > i testing whether the within subject and within group estimated mean values are > significantly different. -- Rich Ulrich, [EMAIL PROTECTED] http://www.pitt.edu/~wpilib/index.html "Taxes are the price we pay for civilization." . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
