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RE: st: regression using dummy variables


From   Amy Jennings <[email protected]>
To   <[email protected]>
Subject   RE: st: regression using dummy variables
Date   Thu, 3 Sep 2009 16:57:58 +0100

 
Hi, thanks for your help,
 
I have run the sheafcoef command - can I just check that the values I need are p1, p2 etc and these can be interpreted in the same way as a standardised beta coefficient? 
 
 
 
. sheafcoef, latent( _Ihighested_2 _Ihighested_3 _Ihighested_4 ; _IMothers_B_2 _IMothers_B_3 )
------------------------------------------------------------------------------
Group27_we~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          p1 |   16.14495   2.721279     5.93   0.000     10.80729    21.48261
a1__Ihighe~2 |   1.534664   .6632412     2.31   0.021     .2337487     2.83558
a1__Ihighe~3 |   1.459557   .7091874     2.06   0.040     .0685204    2.850594
a1__Ihighe~4 |   3.857852   .4413342     8.74   0.000     2.992196    4.723507
          p2 |   6.232302   2.726072     2.29   0.022     .8852447    11.57936
a2__IMothe~2 |  -1.579171   .7521499    -2.10   0.036    -3.054477   -.1038659
a2__IMothe~3 |  -2.571578   .5937274    -4.33   0.000    -3.736145   -1.407011
       _cons |   149.9236   11.31615    13.25   0.000     127.7275    172.1197
------------------------------------------------------------------------------


----------------------------------------
> Date: Thu, 3 Sep 2009 13:52:38 +0000
> From: [email protected]
> Subject: Re: st: regression using dummy variables
> To: [email protected]
>
> --- On Thu, 3/9/09, Amy Jennings wrote:
>> I am new to STATA and am currently doing (trying) multiple
>> regression using dummy coded categorical variables, I want
>> to compare my coefficients so I can assess the relative
>> strength of each predictor as I would in multiple regression
>> with continuous predictors. is it possible to get an
>> overall coefficient for my dummy coded variables?
>
> Yes, this is what so called sheaf coefficients where designed
> to do, see: Heise, David R. (1972). Employing nominal
> variables, induced variables, and block variables in path
> analysis. Sociological Methods & Research, 1(2): 147--173.
>
> These sheaf coefficients can be computed in Stata using the
> -sheafcoef- package, which you can install by typing in
> Stata: -ssc install sheafcoef-
>
> Hope this helps,
> Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
>
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