Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: Comparing two response variables
From
Richard Williams <[email protected]>
To
[email protected], [email protected]
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
*
* 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/
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
*
* 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/