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From |
Nick Cox <njcoxstata@gmail.com> |

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

Subject |
Re: st: RE: % of variance in factor analysis |

Date |
Thu, 30 May 2013 10:44:50 +0100 |

Your reply in turn does not help us to know what else to say. Googling hasn't helped you, so you need an approach that will. Indeed, here as elsewhere, Googling a very popular technical term is as likely to turn up dross as gold. There are many, many sources that explain factor analysis informally as well as formally. You are at the University of Birmingham, which is a large British university. Its library will contain dozens of texts with some account of factor analysis. Find a textbook 1. in your field (we don't know what that is) 2. at your mathematical or statistical level 3. with a chapter on factor analysis and start there. Or move down-market: look at textbooks for fields with many students who are _less_ mathematical or statistical than is typical in your field. (No names here.) Nick njcoxstata@gmail.com On 30 May 2013 10:19, Mash Hamid <MXH191@bham.ac.uk> wrote: Thanks but my aim is to understand it but understand it in layman's terms not in statistical language. More googling has not helped and no pages are specific about what it stand for. My background is not in statistics thats why I am looking for a simple explanation. JVerkuilen (Gmail) [jvverkuilen@gmail.com] > More Googling will help but this is a good set of slides that isn't > misleading. I also recommend the discussion in: > > James Lattin, J. Douglas Carroll, & Paul E. Green. (2003). Analyzing > Multivariate Data. Duxbury. Mash Hamid >> Thanks for this but this still does not help me understand it. JVerkuilen (Gmail) [jvverkuilen@gmail.com] >> On Wed, May 29, 2013 at 8:38 PM, Mash Hamid <MXH191@bham.ac.uk> wrote: >>> >>> I have been performing factor analysis and I am having trouble understanding the % of variance and to explain it in layman's terms. >>> >>> >>> I have a dataset with 40 variables and the first factor has an eigenvalue of 13 and the second factor has an eigenvalue of 2. Now the first factor accounts for 40% of the variance, and the second has variance of 8% after rotation. Now in layman's terms, what does "% of the variance of each factor" mean? * * 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/

**Follow-Ups**:**RE: st: RE: % of variance in factor analysis***From:*Mash Hamid <MXH191@bham.ac.uk>

**References**:**st: RE: % of variance in factor analysis***From:*Mash Hamid <MXH191@bham.ac.uk>

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