st: SSC > New module -hcavar-

[Jean-Benoit Hardouin <jean-benoit.hardouin@orscentre.org>]

Thanks to Kit Baum, there is now a new module -hcavar- available for download from SSC. 
This module perfoms a Hierarchical Clusters Analysis (HCA) on a list of variables (and not on the observations !!). 
If the variables are numerous or ordinal variables, a transformation of the correlation matrix is used as distance matrix.
If the variables are binary variables, this is possible to use other coefficients of dissimilarity : Jaccard, Dice, Russel or Matching (or pearson).
In the field of the Item Response Theory (IRT), this is possible to realize with this module a HCA on conditional measures of proximity (HCACCPROX method): conditional covariances, conditional correlations or Mantel Hanszel Measures of dissimilarity.
The *matrix* option allows a specific matrix of distances between the variables to be given. 
The module produces a dendrogram and displays the compositions of the clusters indicated by the *partition* option. In the field of IRT, the *detect* option allows computing the DETECT, Iss and R indexes. 
The module requieres the -detect- and -genscore- modules be installed (available on SCC).

The -hcavar- module replaces and corrects the old -hcaccprox- module. This new module is more powerfull because it allows ordinal or numerous variables to be used. 
More details about this module (and my other modules) on my website: http://anaqol.free.fr.

Happy new year 2006 to all the members of statalist !

Jean-Benoit Hardouin

--
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Jean-Benoit Hardouin
PhD in Biostatistics
Regional Health Observatory - Orl�ans - France
Email : jean-benoit.hardouin@orscentre.org
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