On Wed, Aug 29, 2012 at 6:23 PM, Louise Cowpertwait <louisecowpertw...@gmail.com> wrote: > Please can someone advise me how I can adjust correlations using bonferroni's > correction? I am doing manny correlation tests as part of an investigation of > the validity/reliability of a psychometric measure. > Help would be so appreciated! > Cheers, > Louise >
The observed correlation is an immutable property of the observed data and the Bonferroni correction does not change it. Rather, it should be applied to the p-values of the observed correlations, much as it would be for any test. Those more statistically savy than I might jump in, but I don't see why the p-values of, e.g., cor.test() would be adjusted in a different way than those of t.test(). Consider a similar case for a set of t-tests: you see some data and do the tests based on the sample means. It doesn't make any sense to "adjust the mean" of your data, rather you might wish to adjust your _interpretation_ of calculated p-values to account for multiple comparisons. Cheers, Michael > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
