Displaying 20 results from an estimated 200 matches similar to: "confirmatory factor analysis program in R"
2011 Mar 11
2
confirmatory factor analysis in R
In R software,does it have packages about confirmatory factor analysis in R
software? 3Q
--
View this message in context: http://r.789695.n4.nabble.com/confirmatory-factor-analysis-in-R-tp3347618p3347618.html
Sent from the R help mailing list archive at Nabble.com.
2004 Jan 29
1
Confirmatory Factor Analysis in R? SEM?
Hi
Has anyone used R to conduct confirmatory factor analysis? This email pertains to use of SEM.
For context consider an example: the basic idea is that there are a bunch of observables variables (say study habbits, amount of time reading in the bus, doing homework, helping other do homework, doing follow-up on errors etc.) and one believes that all these variables maybe measured by two or
2005 Mar 23
1
Confirmatory Factor Analysis in Non-Normal case
Hi:
I am doing a confirmatory factor analysis now. In
the analysis, I have null hypothesis test which
specify some special structure for the loading matrix.
And the alternative is there is no such special
structure. Then the log likelihood ratio test can be
used. The problem I have is my data comes from a
questionnaire and all the variables are discrete from
1 to 7, which makes the normality
2009 May 22
1
Confirmatory factor analysis problems using sem package (works in Amos)
Hello all,
I'm trying to replicate a confirmatory factor analysis done in Amos. The
idea is to compare a one-factor and a two-factor model. I get the following
warning message when I run either model:
"Could not compute QR decomposition of Hessian.
Optimization probably did not converge."
I have no idea what to do here. I believe posters reported the same
problem. It seems
2013 Mar 10
4
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]]
2008 Sep 18
2
Difficulty understanding sem errors / failed confirmatory factor analysis
Hello,
I'm trying to fit a pretty simple confirmatory factor analysis using
the sem package. There's a CFA example in the examples, which is helpful,
but the output for my (failing) model is hard to understand. I'd be
interested in any other ways to do a CFA in R, if this proves troublesome.
The CFA is replicating a 5 uncorrelated-factor structure (for those
interested, it is a
2011 Mar 27
2
Structural equation modeling in R(lavaan,sem)
I am a new user of the function sem in package sem and lavaan for structural
equation modeling
1. I don?t know what is the difference between this function and CFA
function, I know that cfa for confirmatory analysis but I don?t know what
is the difference between confirmatory analysis and structural equation
modeling in the package lavaan.
2. I have data that I want to analyse but I have some
2004 Jul 13
5
Help with factanal and missing values
Hi list,
I'm performing a series of confirmatory factor analysis on different
groupings of items from data collected with questionnaires. There are some
missing values.
For those sets with no missing values I call
factanal(datamatrix,factors=n)
where datamatrix is a table of all observations for the items under
investigation.
This call fails when there are missing values.
help(factanal)
2013 Apr 28
0
hierarchical confirmatory factor analysis with sem package
Hi,
I am doing a hierarchical CFA using the sem package. I have 20 items, and I
have 2 factors (F3 and F4), and also F1 and F2 are nested within F3.
Here is the code that I have, but it is giving me an error message "Warning
message:
In eval(expr, envir, enclos) : Negative parameter variances.
Model may be underidentified." and a further error "Error in
summary.objectiveML(cfa,
2003 Apr 15
1
R capabilities: Bayesian estimation, Covariance Structure Analysis
I'm contemplating doing Bayesian estimation in R but am wondering how
Bayesian estimation on R stacks up against BUGS. Is R reasonably complete,
more difficult to use,...? Anyone care to share their experience?
Also, am I right to conclude that covariance structure analysis &
confirmatory factor analysis are not available in R? (I can't find them
with help)
Peter
2010 Feb 20
1
SEM error
I'm trying to do some confirmatory factor analysis on some data. My SEM
model solves in 22 iterations, but when I try to look at the modification
indices, using mod.indices, I get the following error message:
Error in solve.default(hessian) :
system is computationally singular: reciprocal condition number =
4.40283e-18
What does this mean?
Many thanks,
Dan
[[alternative HTML version
2009 May 20
1
sem with categorical data
I am trying to run a confirmatory factor analysis using the SEM package. My
data are ordinal. I have read
http://socserv.mcmaster.ca/jfox/Misc/sem/SEM-paper.pdf.
When I apply the hetcor function, I receive the following error:
Error in checkmvArgs(lower = lower, upper = upper, mean = mean, corr = corr,
:
at least one element of 'lower' is larger than 'upper'
Example:
2011 Jun 01
3
error in model specification for cfa with lavaan-package
Dear R-List,
(I am not sure whether this list is the right place for my question...)
I have a dataframe df.cfa
2010 Jan 03
1
Questions regarding sem using hetcor() function from polycor and diagrams
Hello R Users,
While I have attempted to dig into the R help files and I have not
identified the answer to these questions, I apologize in advance if my
questions were answered in the past. I also recognize that one of my
questions unfortunately verges on statistical rather than code
territory. I have two rather unrelated questions about using the sem and
polycor packages for a relatively
2007 Jun 27
1
SEM model fit
I wonder if someone could explain why, when I perform confirmatory
factor-analysis model using polychoric correlations why I do not get an
estimated confidence interval for the RMSEA. My experience with these type
models is that I would obtain a confidence interval estimate. I did not get
any warning messages with the output.
RESULTS:
Model Chisquare = 1374 Df = 185 Pr(>Chisq) = 0
2013 Feb 09
1
Troubleshooting underidentification issues in structural equation modelling (SEM)
Hi all, hope someone can help me out with this.
Background Introduction
I have a data set consisting of data collected from a questionnaire that I
wish to validate. I have chosen to use confirmatory factor analysis to
analyse this data set.
Instrument
The instrument consists of 11 subscales. There is a total of 68 items in
the 11 subscales. Each item is scored on an integer scale between 1 to 4.
2013 Mar 18
2
Confirmatory factor analysis using the sem package. TLI CFI and RMSEA absent from model summary.
Hi R-help,
I am using the sem package to run confirmatory factor analysis (cfa) on some questionnaire data collected from 307 participants. I have been running R-2.15.3 in Windows in conjunction with R studio. The model I am using was developed from exploratory factor analysis of a separate dataset (n=439); it includes 18 items that load onto 3 factors. I have used the sem package documentation
2007 Apr 09
3
sem vs. LISREL: sem fails
I am new to R.
I just tried to recreate in R (using sem package and the identical input data) a solution for a simple measurment model I have found before in LISREL. LISREL had no problems and converged in just 3 iterations.
In sem, I got no solution, just the warning message:
"Could not compute QR decomposition of Hessian.
Optimization probably did not converge.
in: sem.default(ram =
2005 Oct 10
1
SEM with dichotomous indicators
Hello,
I'd like to know if there is a way to fit a Structural equation model with
dichotomous indicators (ex: problem with a phone solved/ or not) having
effects on a ordinal variable.
How I do that using R?
Do you have an example with the code in R that you can send to me?
Thanks a lot!
Renata Estrella
UFRJ, Brasil, Rio de Janeiro
Renata Leite Estrella
Assistente de
2007 Aug 12
1
SEM for categorical data
Hi
I am looking for a structural equation modeling package in R which can be
used for categorical data. Is anyone aware of the existence of such a
package? Would appreciate any help on this.
Thank you
Upasna
--
---------------------------------------------------------------------
Upasna Sharma
Research Scholar
Shailesh J. Mehta School of Management,
Indian Institute of Technology, Bombay