Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
| From | Brendan Halpin <brendan.halpin@ul.ie> |
| To | <statalist@hsphsun2.harvard.edu> |
| Subject | Re: st: cluster analysis: differences between clusters |
| Date | Fri, 7 Mar 2014 15:07:18 +0000 |
On Fri, Mar 07 2014, Andrea Jaberg wrote: > I performed optimal matching for all sequences in the dataset against > all others using -sqom- and the option -full-. Afterwards I grouped > them using cluster analysis. Now I'd like to test whether the clusters > are reliably different. My first thought was using ANOVA. However, > this seems not possible since I compared all sequences against each > other which results in a distance matrix. > What do you suggest in order to test whether the differences between > clusters are significant? See Studer et al "Discrepancy Analysis of State Sequences", Sociological Methods Research August 2011 vol. 40 no. 3 471-510 This proposes a method that uses average distance to the centre of the pairwise distance matrix, compared with the distance to the centre of the partitions, to create an analogue of R-squared. It also does a pseudo-F test, with bootstrapped significance. It naturally fits with what you are trying to do. There is a reference implementation in R, written by Studer, but I have implemented it in Stata. I will submit this to SSC, but for the moment you can download it from http://teaching.sociology.ul.ie/bhalpin/discrepancy.zip Regards, Brendan -- Brendan Halpin, Head of Department, Sociology, University of Limerick, Ireland Tel: w +353-61-213147 f +353-61-202569 h +353-61-338562; Room F1-002 x 3147 mailto:brendan.halpin@ul.ie ULSociology on Facebook: http://on.fb.me/fjIK9t http://teaching.sociology.ul.ie/bhalpin/wordpress twitter:@ULSociology * * 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/