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From | Debs Majumdar <debs_stata@yahoo.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Comparing two response variables |
Date | Mon, 28 Feb 2011 15:20:32 -0800 (PST) |
Hello, I was asked this question today "Is there any way one can say one dependent variable is better than the other for the following situation?" Suppose, you have two response variables Y1 and Y2 on the same metric, one a composite of 8 items and the other with 10 items (same 8 items + 2 other). You have two predictors (X1 and X2, say) and you run the following regressions: Y1 = a_0 + a_1*X1 + a_2*X2 + e1 Y2 = b_0 + b_1*X1 + b_2*X2 + e2 Is there anyway to prove Y1 is a better measure for the trait we are measuring when compared to Y2? I don't have a clear cut answer for this. Is using `-sureg' appropriate for this case? Any help is appreciated. Thank you, Debs * * 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/