Thanks to Kit Baum an update of the -propcnsreg- package is
now available from SSC. To update this package either type
-ssc install propcnsreg, replace- or -adoupdate-.
propcnsreg combines information from several observed variables
into a single latent variable and estimates the effect of this
latent variable on the depedent variable. These observed
variables are so-called causal indicators (Bollen 1984, Bollen
and Lennox 1991), that is, the observed indicators influence
the latent variable. It forms an alternative to models like
factor analysis, which assume that the latent variable
influences the observed indicators.
An alternative interpretation of this model is that it fits a
linear regression with a proportionality constraint, hence the
name of the -propcnsreg- package.
This update consists of a greatly expanded and rewritten
helpfile, and a new option (-mimic-) that will, if the model
is appropriate for your situation, take the measurement
error in the latent variable into account.
-- Maarten
References:
Bollen, Kenneth A. 1984. "Multiple Indicators: Internal
Consistency or No Necessary Relationship" Quality and
Quantity 18(4): 377-385.
Bollen, Kenneth A. and Richard Lennox. 1991. "Conventional
Wisdom on Measurement: A Structural Equation Perspective"
Psychological Bulletin 110(2): 305-314.
-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://home.fsw.vu.nl/m.buis/
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