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MINAP: Stata module to calculate minimum average partial correlation for principal components

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Stephen Soldz () (Boston Graduate School of Psychoanalysis)
Abstract

Velicer (1976) proposed that, when conducting principal components analysis as a version of factor analysis, the number of components one should extract is that at which the average partial correlation of the variables, after partialling out m principal components, would be a minimum. minap calculates this minimum average partial correlation. It can take as input either a variable list or a correlation matrix.

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File URL: http://fmwww.bc.edu/repec/bocode/m/minap.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/m/minap.hlp
File Format: text/plain
File Function: help file
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S429601.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
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Programming language: Stata
Requires: Stata version 7.0
Date of creation: 08 Nov 2002
Date of revision: 12 Nov 2002
Handle: RePEc:boc:bocode:s429601

Note: This module may be installed from within Stata by typing "ssc install minap". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

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Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: principal components; partial correlation; factor analysis;

Statistics
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This page was last updated on 2009-12-22.


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