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From |
"JVerkuilen (Gmail)" <jvverkuilen@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: factor analysis - calculating Crohnbach's alpha |

Date |
Tue, 9 Oct 2012 18:45:33 -0400 |

Being one of the resident psychometricians, I can give a more complete answer later but Cronbach's alpha for an unweighted total score in Stata is given by -alpha-. It has quite a number of options and is probably what you're looking for. Principal components of the correlation matrix gives a different reliability coefficient, Armor's theta, which is defined to be theta = [Q/(Q-1)] (1 - 1/maxeigenvalue) This is the reliability coefficient corresponding to the first principal component. If you use factor analysis to determine weights, you can compute McDonald's omega: omega = (sum of factor loadings)^2 / (sum of uniquenesses + (sum of factor loadings)^2) This works for both correlation and covariance matrices. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: factor analysis - calculating Crohnbach's alpha***From:*Kerry MacQuarrie <Kerry.MacQuarrie@icfi.com>

**Re: st: factor analysis - calculating Crohnbach's alpha***From:*Joerg Luedicke <joerg.luedicke@gmail.com>

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