Dear Laura, In the current version of the Rcmdr package, output of "fit indices" beyond the LR test, AIC, and BIC is optional, and is controlled by the fit.indices argument to the summary() method (see ?summary.objectiveML) or by the fit.indices option. Everyone seems to have different preferences for fit indices and allowing each person to choose seemed preferable to just printing them all out.
I hope this helps, John > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Laura Thomas > Sent: Tuesday, April 09, 2013 12:28 PM > To: r-help@r-project.org > Subject: [R] Confirmatory Factor Analysis > > Hi, > > I have used R to run a confirmatory factor analysis using the sem > package. > The analysis has run ok, but I am missing some information (e.g., > Tucker > Lewis Index, RMSEA) I was wondering if there was a reason for this, I > have > though it may be due to the low sample size? > > Any help would be appreciated. > > Many Thanks, > > Laura > > > Laura Thomas > PhD Student- Sport and Exercise Psychology > Department of Sport and Exercise > Penglais Campus > Aberystywth University > Aberystwyth > > 01970621947 > l...@aber.ac.uk > www.aber.ac.uk/en/sport-exercise/ > > ______________________________________________ > 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.
