[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

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

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

Subject |
RE: st: RE: Negative eigen values in factor, pf command? |

Date |
Tue, 28 Apr 2009 15:43:21 -0400 |

Michael I. Lichter wrote: >So what are you advocating instead? ML, which isn't very robust to weirdness (technical term) in the data? Or something other than >FA/PCA? No, I'm following the research of people like Rod McDonald (retired to his beloved Sydney), Albert Maydeu-Olivares (Barcelona) and Bud McCallum (UNC-Chapel Hill), who support the use of the Unweighted Least Squares criterion function, or multi-stage estimation methods that uses ULS followed by a few iterations of ML or GLS. ULS is mathematically equivalent to MINRES. Stata doesn't have ULS/MINRES (alas). One of the downsides to ULS is the fact that it doesn't generate standard errors and GoF statistics, but Albert's been rectifying that situation in a sequence of articles in various journals (Psychometrika, JASA, etc.): http://www.ub.edu/gdne/psicometriaen.html. * * 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: RE: Negative eigen values in factor, pf command?***From:*Jean-Gael Collomb <JG@ufl.edu>

**References**:**st: Negative eigen values in factor, pf command?***From:*Jean-Gael Collomb <jg@ufl.edu>

**st: RE: Negative eigen values in factor, pf command?***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

**Re: st: RE: Negative eigen values in factor, pf command?***From:*"Michael I. Lichter" <mlichter@buffalo.edu>

- Prev by Date:
**Re: st: RE: Negative eigen values in factor, pf command?** - Next by Date:
**st: RE: Re; Repeated Measures Anova** - Previous by thread:
**Re: st: RE: Negative eigen values in factor, pf command?** - Next by thread:
**Re: st: RE: Negative eigen values in factor, pf command?** - Index(es):

© Copyright 1996–2016 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |