The alpha.Summary() function in MiscPsycho does this. Here is an example > xx <- simRasch(200, 10) > alpha.Summary(xx$data) Below is what alpha *would be* if the item were removed Item alpha 1 1 0.5776860 2 2 0.5620276 3 3 0.5336340 4 4 0.5561580 5 5 0.5852708 6 6 0.5875561 7 7 0.5258138 8 8 0.5324561 9 9 0.5285075 10 10 0.5898000
> -----Original Message----- > From: r-help-boun...@r-project.org > [mailto:r-help-boun...@r-project.org] On Behalf Of Christopher W. Ryan > Sent: Wednesday, February 04, 2009 8:50 AM > To: r-help@r-project.org > Subject: Re: [R] cronbachs alpha - score.items(psych) vs > reliability(Rcmdr) > > The item.total command in the "multilevel" package will give > you what you want. > > --Chris > Christopher W. Ryan, MD > SUNY Upstate Medical University Clinical Campus at Binghamton > 40 Arch Street, Johnson City, NY 13790 > cryanatbinghamtondotedu PGP public keys available at > http://home.stny.rr.com/ryancw/ > > "If you want to build a ship, don't drum up the men to gather > wood, divide the work and give orders. Instead, teach them to > yearn for the vast and endless sea." [Antoine de St. Exupery] > > achristoffersen wrote: > > Dear all, > > > > I like the way the Rcmdr package computes reliability. E.g > > > > reliability(cov(d[,c("q1", "q2", "q3", "q4", "q5", "q6")], > > use="complete.obs")) > > > > will not only give me the alpha score, but also for each variable, > > alpha.score if deleted. However - when writing scripts it's very > > tiresome to load the whole Rcmdr GUI just for this purpose. So I'm > > looking for an another package that delivers the same feature. > > > > the score.items function in the psych package i find is too > > complicated (it requires a keys vector) and it doesn't > report the "alpha if deleted" score. > > > > What have I missed when googling for an alternative? > > > > Thx in advance > > > > Andreas > > ______________________________________________ > 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.