>>>>> Nika Sušac <nika.su...@gmail.com>
>>>>> on Sat, 23 Jul 2016 19:39:48 +0200 writes:
> Hi! I have non-normal data (items are continuous on a
> 9-point scale, but not normally distributed) and I want to
> conduct cfa. Which of the estimators available in lavaan
> do you recommend me to use? Thanks in advance!
I think you want *robust* statistical methods then.
Robust factor analysis (if 'cfa' means something like that) is
somewhat prominent topic.
Simple approaches will already be available by using
MASS::cov.rob() for a robust covariance matrix which you then
can pass to other methods.
For more (and more modern) methods and approaches,
- for R packages, I'd recommend you consult the CRAN task view
about robust statistical methods,
https://cran.r-project.org/web/views/Robust.html
notably the section on 'Multivariate Analysis'
- for more specific help and expertise, I strongly recommend
the dedicated R-SIG-robust mailing list (instead of R-help),
--> https://stat.ethz.ch/mailman/listinfo/r-sig-robust
Best regards,
Martin Maechler, ETH Zurich
> [[alternative HTML version deleted]]
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