Hi, I'm trying to perform a hierachical, second order CFA. That's the thing that I need to leave AMOS. I found some sim.hierarchical and omega stuff, but nothing clear enough. Can anyone help me? I just need a simple and clear manual. Best, Pablo. [[alternative HTML version deleted]]
Dear Pablo, The sem() function in the sem package can do second-order CFA. See the Thurstone example in ?sem. You could also use the lavaan or OpenMx packages (the latter not on CRAN). I hope this helps, John> -----Original Message----- > From: r-help-bounces at r-project.org [mailto:r-help-bounces at r- > project.org] On Behalf Of Pablo Menese > Sent: Sunday, March 10, 2013 5:25 PM > To: R help > Subject: [R] Confirmatory Factor Analysis > > Hi, > I'm trying to perform a hierachical, second order CFA. > That's the thing that I need to leave AMOS. > I found some sim.hierarchical and omega stuff, but nothing clear > enough. > Can anyone help me? > I just need a simple and clear manual. > > > > Best, > Pablo. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.
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 lbt1 at aber.ac.uk www.aber.ac.uk/en/sport-exercise/
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-bounces at r-project.org [mailto:r-help-bounces at r- > project.org] On Behalf Of Laura Thomas > Sent: Tuesday, April 09, 2013 12:28 PM > To: r-help at 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 > lbt1 at aber.ac.uk > www.aber.ac.uk/en/sport-exercise/ > > ______________________________________________ > R-help at 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.
Hi, I have used sem package to run confirmatory factor analysis. 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 lbt1 at aber.ac.uk www.aber.ac.uk/en/sport-exercise/