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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

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

Subject |
st: RE: Factor Analysis: which explained variance? |

Date |
Mon, 21 Dec 2009 14:40:40 -0000 |

Why this stance? You could justify your choice on scientific or substantive grounds, if you have any. You could try other choices and show that 1 produces the best results -- if that's true -- or alternatively that the choice is immaterial -- if that's true. Alternatively, trying other choices might indicate that the choice of 1 is not a good idea. P.S. -polychoric- is a command, not an option. It is also a user-written command, so you should say where it comes from. P.P.S. the whole notion of variance is perhaps a little suspect when the originals are indicator variables. Nick n.j.cox@durham.ac.uk Francesco Burchi I have a question on factor analysis, using the -polychoric- option because I have 4 dummy variables: I run this program: polychoric Var1 Var2 Var3 Var4 matrix R = r(R) factormat R, n(6926) ipf factor(1) rotate, horst blanks(.3) predict FACTORROTATE This way, I created an index based on the first factor. I needed this variable to be included as coviariate in my regression. My question is: how do I defend the fact that I have used one single factor? According to the initial choice of number of factors I get a different value in the "proportion" of the variance accounted for by the factor. I add that I am using Stata 10. * * 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**:**st: RE: RE: Factor Analysis: which explained variance?***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

**References**:**st: Factor Analysis: which explained variance?***From:*"Francesco Burchi" <fburchi@uniroma3.it>

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