st: new version sheafcoef available from SSC

[Maarten buis <maartenbuis@yahoo.co.uk>]

Thanks to Kit Baum a new version of -sheafcoef- is now available from SSC.
-sheafcoef- is a post-estimation command, that transforms estimates into
sheaf coefficients (Heise 1972). Sheaf coefficients are a way of
transforming a set of (categorical) variables into a single latent 
variable and estimate the effect of that latent variable. This package
and the idea behind it is discussed in more detail in:
<http://www.maartenbuis.nl/wp/prop.html>

This update adds a new option -beta-, which will report fully standardized
coefficients. These are coeficients which one would get if all variables
were standardized to have a mean of 0 and a standard deviation of 1. This
option is allowed after estimating a model with -regress-, but also after
-logit-, -logistic-, and -probit-. In the latter cases it will report the
effects on the standardized latent dependent variable (often refered to 
as y*). Thanks to Jurjen Iedema for sugesting this option.

This update also makes it possible to compare sheaf coefficients across
groups, by allowing the user to specify for each latent variable wich
group of observations is to be used in identifying the scale of the
latent variable. Thanks to Kadri Taeht for suggesting this improvement.

To install this update, type in Stata:
ssc install sheafcoef, replace

or:
adoupdate, update

-- Maarten

Heise, David R. (1972). Employing nominal variables, induced variables, 
and block variables in path analysis.  Sociological Methods & Research,
1(2): 147--173.

--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://www.maartenbuis.nl
--------------------------


      

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