Confirmatory Factor Analysis and Measurement Models

missing non-normal data
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developing cfa syntax in OpenMx
I am a novice R user, who is committed to learning OpenMx for structural equation modeling for my research in psychology. I have been using the reference manual as a guide for setting up the syntax for the measurement model of my analysis. I have 19 manifest variables, and 7 latent constructs, for which I would like to obtain general fit indices, parameter estimates and modification indices. I tried to run the analysis using raw data that has less than 5% missingness. The following error messages were produced:
Error: unexpected ',' in "values=c(1,1,1),"
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Entering the number of observed parameters
This is literally the first day I every used OpenMx so it is all quite new to me, maybe I am making a stupid mistake here.
I am attempting to perform a two-group CFA of one continuous factor on six ordinal predictors in OpenMx using Weighted Least Squares (WLS) estimation. I have the polychoric correlation/covariance matrices and I managed to get it working with help of:
http://openmx.psyc.virginia.edu/docs/OpenMx/latest/FactorAnalysisOrdinal_Matrix.html
http://openmx.psyc.virginia.edu/thread/530
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Documentation for multilevel CFA/EFA
I took a quick look through the documentation and couldn't find anything on running multilevel CFA/EFA in openmx. Specifically, I'm interested in running a two level CFA where observations are nested within participants. I believe that Muthen (1994) reports a similar model to the one that I am interested in running. Also, is there any documentation on running multilevel EFA? I'm interested in running something similar to Vijver (2002). Thanks!
Muthén, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22, 376-398.
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3 factor, 18 indicator model (changing from multivariate normality to non-normality)
I am a grad student at Aarhus University, Denmark. I am fairly new with SEM but have read as much literature as I could possibly get my hands on. I am working in AMOS. I have attached a picture of the AMOS setup.
I have set up a model containing 3 latent factors, each with 6 observed variables attached.

one-factor CFA, 4 indicators, correlation matrix

an error when running configural invariance analysis
I was trying to change the starting values (say, by making all of the covariances and free regressions .5) by taking suggestion posed on the forum and got the same error message. Does anyone can help on this? Thanks.
Yunfei
-------------the code ---------------
options(width=110)
library(psych)
library(OpenMx)

Cfa with more than two factors
First, thanks to do this job for R, it's really needed!
I am trying to do a CFA with 6 factors (psychological self report questionnaire with 6 scales with 14 items each).
I tried to adapt the two factors models. Seeing this discussion, I changed
the starting values and got no warning message. I have a few issues though:
1. For the latent covariance and variances of the 2 factors you give the
example of values=c(1, .5,.5, 1) But how can I organize it with 6 factors? Why do we need
to specify starting values, in sem package none is needed. Is it a specificity of the program ?
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Confusion about CFA - 1 LV, 3 MVs
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Latent Class Analysis where the manifest variables are ordinal
Is it possible to have ordinal manifest variables using OpenMx? I hate to ask seeing how confidence intervals have now been added (yea!) which would allow me to use OpenMx in place of Mx for a number of analyses.
I have 3 raters rating 2 eyes for each subject so that there are 6 measurements for each subject, something like:
subject od.1 od.2 od.3 os.1 os.2 os.3
1 X X X X X X
2 X X X X X X
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