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About
lavaan
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Welcome to the lavaan discussion group. Lavaan is an R package for latent variable analysis.
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Helene von Gugelberg
, …
Terrence Jorgensen
6
5/6/22
sampstat, sample statistic varies from input covariance matrix
The default is likelihood = "normal" with sample.cov.rescale = TRUE. If for some reason you
unread,
CFA
binary
covarianceMatrix
inspect
sampstat, sample statistic varies from input covariance matrix
The default is likelihood = "normal" with sample.cov.rescale = TRUE. If for some reason you
5/6/22
ss xx
, …
Patrick (Malone Quantitative)
6
6/29/20
lavaan WARNING: covariance matrix of latent variables but lavInspect( fit, "cov.lv") are all positive,what's the problem?
Adding that your factor correlations are very high across the board. The lowest one I spot is .76.
unread,
CFA
covariance
covarianceMatrix
warning
lavaan WARNING: covariance matrix of latent variables but lavInspect( fit, "cov.lv") are all positive,what's the problem?
Adding that your factor correlations are very high across the board. The lowest one I spot is .76.
6/29/20
k stol
, …
Yves Rosseel
5
5/19/20
Specifying an estimator when invoking Lavaan with a covariance matrix
Dear Yves, that works beautifully. thanks for getting back on this! klaas On Tuesday, 19 May 2020 07:
unread,
covarianceMatrix
estimator
Specifying an estimator when invoking Lavaan with a covariance matrix
Dear Yves, that works beautifully. thanks for getting back on this! klaas On Tuesday, 19 May 2020 07:
5/19/20
Monika Ramoskaite
1/8/20
Hessian matrix in ML lavaan
Hi All, I have come upon the lavaan user guide: https://users.ugent.be/~yrosseel/lavaan/lavaan2.pdf I
unread,
ML
covarianceMatrix
lavaan
Hessian matrix in ML lavaan
Hi All, I have come upon the lavaan user guide: https://users.ugent.be/~yrosseel/lavaan/lavaan2.pdf I
1/8/20
Tatiana Logvinenko
,
Nickname
2
9/25/19
NA values in standard errors after removing one variable from the model
Tatiana, As a general strategy, focus on the first error/warning first because solving the first
unread,
Heywood
covarianceMatrix
error
lavaan
sem
warning
NA values in standard errors after removing one variable from the model
Tatiana, As a general strategy, focus on the first error/warning first because solving the first
9/25/19
Jassmyn
,
Terrence Jorgensen
2
9/17/19
sample covariance matrix is not positive-definite
I had first warnings because of a high variance in my data. I performed a z-standardization Bad idea,
unread,
covarianceMatrix
lavaan
sample covariance matrix is not positive-definite
I had first warnings because of a high variance in my data. I performed a z-standardization Bad idea,
9/17/19
Christopher Galgo
,
PD
2
7/19/19
Factor Score Path Analysis
Try the :::fsr function. See the articles that discuss this approach, which explain the variance/
unread,
CFA
analysis
correlationMatrix
covariance
covarianceMatrix
factor
fsr
latent
lavaan
path
robust
score
Factor Score Path Analysis
Try the :::fsr function. See the articles that discuss this approach, which explain the variance/
7/19/19
Christopher Galgo
7/14/19
Please help me. Can I use a vcv matrix of factor scores as input to lavaan?
I have a covariance matrix from factor scores and I want to use that as input for my analysis.
unread,
Heywood
analysis
covariance
covarianceMatrix
latent
lavaan
model
positive
r
regression
warning
Please help me. Can I use a vcv matrix of factor scores as input to lavaan?
I have a covariance matrix from factor scores and I want to use that as input for my analysis.
7/14/19
Joana Brokelmann
5/22/19
cross lagged panel SEM Error because of high covariances
Dear all, I am trying to run a SEM. I measured two variables (ABB and PSWQ) at two occasions (t0 and
unread,
covarianceMatrix
cross-lagged
error
sem
cross lagged panel SEM Error because of high covariances
Dear all, I am trying to run a SEM. I measured two variables (ABB and PSWQ) at two occasions (t0 and
5/22/19
Isa
,
Terrence Jorgensen
6
2/19/19
Extracting the observed variance-covariance matrix of a model with 2 approaches
· In case I will not be able to put my data on a repository like you mentioned, how would I extract
unread,
covarianceMatrix
lavaan
variance
Extracting the observed variance-covariance matrix of a model with 2 approaches
· In case I will not be able to put my data on a repository like you mentioned, how would I extract
2/19/19
Jade Ding
,
Terrence Jorgensen
2
1/16/19
lavaan ERROR: sample covariance matrix is not positive-definite
fit.mod.3 <-sem(mod.3, data = fact_pass1, std.lv = TRUE, missing = "fiml") Error in
unread,
covarianceMatrix
lavaan
non-convergence
sem
lavaan ERROR: sample covariance matrix is not positive-definite
fit.mod.3 <-sem(mod.3, data = fact_pass1, std.lv = TRUE, missing = "fiml") Error in
1/16/19
Hannah C
,
Edward Rigdon
3
11/12/18
Very large parameters that are non-significant ?
Hi Ed Thanks a lot for your reply - that makes good sense about the second factor. And TestVar is a
unread,
covarianceMatrix
latent
lavaan
sem
Very large parameters that are non-significant ?
Hi Ed Thanks a lot for your reply - that makes good sense about the second factor. And TestVar is a
11/12/18
christophe...@nicholls.edu
,
Terrence Jorgensen
3
7/3/18
Comparing residual covariances across conditions
Thanks for responding even though this isn't a lavaan-specific issue. Your interpretation was
unread,
covarianceMatrix
invariance
measurement
residual
Comparing residual covariances across conditions
Thanks for responding even though this isn't a lavaan-specific issue. Your interpretation was
7/3/18
Jorge Sinval
, …
yros...@gmail.com
13
6/2/18
Import correlation matrix
Yes, that works perfectly. However, if I use just: ``` df.full.sem <- read_excel("BDAMOS.xls
unread,
cor2cov
correlationMatrix
covarianceMatrix
getCov
Import correlation matrix
Yes, that works perfectly. However, if I use just: ``` df.full.sem <- read_excel("BDAMOS.xls
6/2/18