HCAVAR: Stata module to perform Hierarchical Clusters Analysis of variables

Statistical Software Components from Boston College Department of Economics

Abstract: hcavar realizes a Hierarchical Clusters Analysis on variables. The variables can be numerous, ordinal or binary. The distances (dissimilarity measures for binary variables) between two variables are computed as the squared root of 2 times one minus the Pearson correlation. For binary variables, it is possible to use other similarity coefficients as Matching, Jaccard, Russel or Dice (See measure option for more details). The distance matrix is computed as the squared root of one minus the value of these coefficients. In the field of Item Response Theory, it is possible to define conditional measures to the score as defined by Roussos, Stout and Marden (1998): conditional correlations, conditional covariance, or Mantel-Haenszel measures of similarity. In the same field, it is possible to compute, for a set of obtained partition of the items, the DETECT, Iss and R indexes defined by Zhang and Stout (1999). This routine replaces hcaccprox.

Language: Stata
Requires: Stata version 9
Keywords: HCA; conditional; measures of proximity; HCA/CCPROX; DETECT; R; Iss; IRT; items selection (search for similar items in EconPapers)
Date: Written 2006-01-01
Note: This module may be installed from within Stata by typing "ssc install hcavar". Windows users should not attempt to download these files with a web browser.

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/h/hcavar.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hcavar.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/detect.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/detect.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/g/genscore.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/genscore.hlp help file (text/plain)

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