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From |
"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu> |

To |
"'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: Aren't distinct factors from factor analysis or PCA orthogonal to each other? |

Date |
Mon, 17 Aug 2009 12:36:56 -0400 |

Diana Kornbrot wrote: >Is it possible to hierarchical EFA in stata? >Are there do files? What do you mean by hierarchical EFA? If you mean higher order factor analysis, i.e., imposing a factor structure on the factor covariance matrix, I suspect the answer is not at the present time. You could always extract the factor correlation matrix from an oblique rotation and work with the Schmid-Leiman transformations yourself. However, for a confirmatory model I suspect you could set this up in -gllamm- but I'd sure want to test it carefully on examples that I was certain about. I believe there are some examples of this in the PROC CALIS documentation in SAS/Stat, for instance.... Just checked. It's a replicated example of some data from Thurstone from R. P. McDonald (1985), Factor Analysis and Related Methods, LEA, , p.57, p.105. Jay * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: Aren't distinct factors from factor analysis or PCA orthogonal to each other?***From:*Cameron McIntosh <cnm100@hotmail.com>

**References**:**Re: st: Aren't distinct factors from factor analysis or PCA orthogonal to each other?***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**Re: st: Aren't distinct factors from factor analysis or PCA orthogonal to each other?***From:*kornbrot <d.e.kornbrot@herts.ac.uk>

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