Confirmatory Factor Analysis and Measurement Models
rachelg
Joined: 09/22/2020
Item parcels
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metinbulus
Joined: 11/17/2018
Measurement invariance in CFA with ordinal data (converegence issues)
I have been trying to replicate measurement invariance for the CFA model with ordinal data (theta parametrization) in Kline (2015) but have failed due to convergence issues (even after roughly adjusting starting values for thresholds based on lavaan output). I also tried mxAutoStart(). I am wondering if I am missing something.
library(OpenMx)
radloffdata <- read.table("https://www.guilford.com/add/kline/radloff-lavaan.txt", sep="\t", header = FALSE)
colnames(radloffdata) <- c("x1", "x2", "x3", "x4", "x5", "g")
lior abramson
Joined: 07/21/2017
confidence intervals with mxTryHardOrdinal optimizer
I would like to compute confidence intervals for the ACE components in a univariate twins analysis.
Since I have categorical covariates in the model, the only way I could make the model work was by replacing the mxRun optimizer with mxTryHardOrdinal optimizer. However, according to the R documentation of the mxCI function, the mxCI could not run with other optimizers except for mxRun. Similarly, even though I ask for "intervals=TRUE" in the model, the lbound and ubound of the summary output are NAs.
konval
Joined: 04/04/2016
help with SEM
I am very new to both OpenMx and structural equation modelling. I am trying to analyse data from educational research (see attached file for description). I have tried some examples from OpenMx but couldn’t figure out how to run SEM on my own data. I would appreciate greatly if I can get help on how to run factor SEM on my data. I have 3 factors (class, subject and student) and 12 measurements that are binomial (0 or 1). Thanks in advance
konval
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dadrivr
Joined: 01/19/2010
Unstandardized ML factor scores
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3773873/
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TQum
Joined: 05/28/2015
Need help
I am trying to test CFA with AMOS and I have some error messages that I couldn't understand.
I parceled the items in some scales but I recieve messages such as (Probability level cannot be computed)
OR
The model is probably unidentified. In order to achieve identifiability, it will probably be necessary to impose 1 additional constraint.
Anyone has any idea why the models didn't run? if you need more info please let me know
Thank you so much
Tamara
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metavid
Joined: 06/23/2014
krzysiek
Joined: 09/05/2013
Higher-order factors, Matrix Specification
Is this possible to model higher-order factors using matrix specification instead of path specification in OpenMx?
regards,
Krzysiek
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metavid
Joined: 06/23/2014
Sample weights
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AnneN.
Joined: 02/27/2014
Confidence Intervals generated by OpenMx do not seem to look right to me.
I ran a simple regression model in AMOS and repeated it in OpenMx in order to obtain the confidence interval for my regression coefficients and see that the a certain coefficient in my output came out significant (p <.001) in amos but not significant in OpenMx (i.e., confidence interval contains zero). I am not sure what to make of it. Here is the info from the AMOS output:
Estimate S.E. C.R. (Critical Ratio) P.
.276 .077 3.589 ***
The OpenMx output for that estimate and CI are:
Estimate Std. Error Std. Estimate Std.SE
.2757 .0756 .3895 .1069