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Implementing Horn’s parallel analysis for principal component analysis and factor analysis

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  • Alexis Dinno

    (California State University-East Bay)

Abstract

I present paran, an implementation of Horn's parallel analysis criteria for factor or component retention in common factor analysis or principal compo- nent analysis in Stata. The command permits classical parallel analysis and more recent extensions to it for the pca and factor commands. paran provides a needed extension to Stata’s built-in factor- and component-retention criteria.

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  • Alexis Dinno, 2009. "Implementing Horn’s parallel analysis for principal component analysis and factor analysis," Stata Journal, StataCorp LLC, vol. 9(2), pages 291-298, June.
    • Handle: RePEc:tsj:stataj:v:9:y:2009:i:2:p:291-298
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    1. Richard Montanelli & Lloyd Humphreys, 1976. "Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A monte carlo study," Psychometrika, Springer;The Psychometric Society, vol. 41(3), pages 341-348, September.
    2. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    3. Louis Guttman, 1954. "Some necessary conditions for common-factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 149-161, June.
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