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# Re: st: Comparing two response variables

 From Richard Williams To statalist@hsphsun2.harvard.edu, statalist@hsphsun2.harvard.edu Subject Re: st: Comparing two response variables Date Mon, 28 Feb 2011 20:04:51 -0500

I too am not sure what "better" is, but my first impulse is to say that better = more reliable. Therefore, assuming you have the original 10 items, you might use the -alpha- command to see whether the 2 additional variables increase or decrease the overall reliability of the scale.
```
At 06:20 PM 2/28/2011, Debs Majumdar wrote:
```
```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

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```
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