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

Author

Listed:
  • Stephen Soldz

    (Boston Graduate School of Psychoanalysis)

Programming Language

Stata

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.

Suggested Citation

  • Stephen Soldz, 2002. "MINAP: Stata module to calculate minimum average partial correlation for principal components," Statistical Software Components S429601, Boston College Department of Economics, revised 12 Nov 2002.
    • Handle: RePEc:boc:bocode:s429601
    Note: This module may be installed from within Stata by typing "ssc install minap". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

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