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Welcome to the lavaan discussion group. Lavaan is an R package for latent variable analysis.

Note: the first time you post, it may take a while (a few hours, up to a few days) before your post is visible. That only happens the very first time you post, because one of the group owners needs to approve your post. (This is to avoid spam).

If you enjoy using lavaan, please consider giving a donation to support the lavaan project. See:

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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,

covarianceMatrix

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

Stephan Frederic, … car...@web.de6

6/3/20

Testing model fits (of the same model) of two samples against each other

Take a look at this: https://www.researchgate.net/publication/

unread,

satorra-bentler

Testing model fits (of the same model) of two samples against each other

Take a look at this: https://www.researchgate.net/publication/

6/3/20

Lukas Wallrich, car...@web.de2

5/30/20

Cannot estimate simple CFA - warning and error

":=" defines a new parameter and not the measurement model. The lavaan tutorial is very

unread,

Cannot estimate simple CFA - warning and error

":=" defines a new parameter and not the measurement model. The lavaan tutorial is very

5/30/20

Brandon McCormick, … Yves Rosseel7

5/31/20

Values of df = inf using semTools (cfa.mi)

On 5/29/20 11:09 PM, Terrence Jorgensen wrote: > Do you have any insight into these warnings? >

unread,

Values of df = inf using semTools (cfa.mi)

On 5/29/20 11:09 PM, Terrence Jorgensen wrote: > Do you have any insight into these warnings? >

5/31/20

Rosie, … Yves Rosseel4

5/26/20

Binary endogenous variable in SEM and rsquare issue

On 5/25/20 9:02 AM, Rosie Pendrous wrote: > I did have another query if possible: my categorical

unread,

Binary endogenous variable in SEM and rsquare issue

On 5/25/20 9:02 AM, Rosie Pendrous wrote: > I did have another query if possible: my categorical

5/26/20

Sooyong Lee, Yves Rosseel2

3/21/20

Model running in Mplus, not running in lavaan

On 3/18/20 9:24 PM, Sooyong Lee wrote: > The problem is that it does not run in lavaan with the

unread,

information-matrix

Model running in Mplus, not running in lavaan

On 3/18/20 9:24 PM, Sooyong Lee wrote: > The problem is that it does not run in lavaan with the

3/21/20

Rose B, Terrence Jorgensen4

2/5/20

Standard errors not computed with binary endogenous variable because the information matrix could not be inverted

Is this what you meant when you said lavaan assigns fixed intercepts and variances to the latent

unread,

information-matrix

standard-errors

Standard errors not computed with binary endogenous variable because the information matrix could not be inverted

Is this what you meant when you said lavaan assigns fixed intercepts and variances to the latent

2/5/20

Tatiana Logvinenko, Nickname2

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,

covarianceMatrix

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

Jan Szczypiński, Terrence Jorgensen3

10/11/19

lavaan WARNING: the optimizer (NLMINB) claimed the model converged, but not all elements of the gradient are (near) zero; with WLSMV

Sorry for such a long response. I was gone on vacations for the last 3 weeks. In turned out that it

unread,

lavaan WARNING: the optimizer (NLMINB) claimed the model converged, but not all elements of the gradient are (near) zero; with WLSMV

Sorry for such a long response. I was gone on vacations for the last 3 weeks. In turned out that it

10/11/19

Frederick Duan, Terrence Jorgensen2

8/23/19

Categorical Var Model Identification Problem. WLSMV

Age might be a problem, because its scale seems huge relative to other variables. Is it measured in

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Categorical Var Model Identification Problem. WLSMV

Age might be a problem, because its scale seems huge relative to other variables. Is it measured in

8/23/19

Maria Meier, … Edward Rigdon8

8/7/19

Mixed SEM with lavaan warning: Could not compute standard errors!

Maria-- Models are parsimonious when they explain relations among many variables using few parameters

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Mixed SEM with lavaan warning: Could not compute standard errors!

Maria-- Models are parsimonious when they explain relations among many variables using few parameters

8/7/19

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,

covarianceMatrix

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

Robert Udale, Terrence Jorgensen4

7/2/19

Multi level SEM - not sure what I'm doing!

The first level of model 2 is the same as model 1. No, Q63_1 has switch from being an outcome at the

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Multi level SEM - not sure what I'm doing!

The first level of model 2 is the same as model 1. No, Q63_1 has switch from being an outcome at the

7/2/19

Terrence Jorgensen, Gulean3

7/12/19

Re: Warning messages when trying to fit bifactor model in Lavaan. What do they mean? How to solve this?

Tried several thing, but nothing works, like: CFA_model_1_order <- cfa(CFA_model_1, data = MyData,

unread,

Re: Warning messages when trying to fit bifactor model in Lavaan. What do they mean? How to solve this?

Tried several thing, but nothing works, like: CFA_model_1_order <- cfa(CFA_model_1, data = MyData,

7/12/19

6/14/19

Random-Intercept Cross-Lagged Panel Model, cov matrix of latent variables not PD

Hi Everyone! This is my first try at estimating a Random-Intercept Cross-Lagged Panel Model in lavaan

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Random-Intercept Cross-Lagged Panel Model, cov matrix of latent variables not PD

Hi Everyone! This is my first try at estimating a Random-Intercept Cross-Lagged Panel Model in lavaan

6/14/19

5/22/19

Error in if (abs(ll.old - ll.new) < convergence) run <- FALSE

Bellow are the codes in lavaan grammar: ++++++++++++++++++ library("nlsem") modLMS.model

unread,

Error in if (abs(ll.old - ll.new) < convergence) run <- FALSE

Bellow are the codes in lavaan grammar: ++++++++++++++++++ library("nlsem") modLMS.model

5/22/19

Tim Cadman, Terrence Jorgensen11

6/7/19

Warning running fitMeasures on imputed SEM model: "In Th_mean - Implied$th : longer object length...

Ah ok - thanks for the explanation. bw Tim On Friday, June 7, 2019 at 3:24:51 PM UTC+1, Terrence

unread,

Warning running fitMeasures on imputed SEM model: "In Th_mean - Implied$th : longer object length...

Ah ok - thanks for the explanation. bw Tim On Friday, June 7, 2019 at 3:24:51 PM UTC+1, Terrence

6/7/19

jtk, Terrence Jorgensen3

5/25/19

Question on multi-group multilevel analysis

Thank you very much for your help, Dr. Jorgensen! I will definitely try it out. (I'm sorry for

unread,

Question on multi-group multilevel analysis

Thank you very much for your help, Dr. Jorgensen! I will definitely try it out. (I'm sorry for

5/25/19

Lea, Terrence Jorgensen7

5/14/19

measure invariance analysis with the packages semTools and lavaan.

Thank you so much for your help. It all worked now. Am Fr., 10. Mai 2019 um 14:09 Uhr schrieb

unread,

measure invariance analysis with the packages semTools and lavaan.

Thank you so much for your help. It all worked now. Am Fr., 10. Mai 2019 um 14:09 Uhr schrieb

5/14/19

DVC, … car...@web.de10

5/23/19

Measurement Invariance [lavaan WARNING: scaling factor is negative]

Use lavTestLRT: https://www.google.com/amp/s/rdrr.io/a/cran/lavaan/man/lavTestLRT.html Am 23.05.19,

unread,

continuous-variables

Measurement Invariance [lavaan WARNING: scaling factor is negative]

Use lavTestLRT: https://www.google.com/amp/s/rdrr.io/a/cran/lavaan/man/lavTestLRT.html Am 23.05.19,

5/23/19

Isa...@hotmail.de, Terrence Jorgensen2

4/27/19

Moderatoranalysis lavaan

can anyone give me an example for the structure for moderation testing in a pathmodel with lavaan?

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Moderatoranalysis lavaan

can anyone give me an example for the structure for moderation testing in a pathmodel with lavaan?

4/27/19

Isa...@hotmail.de, Terrence Jorgensen6

4/27/19

Moderation in lavaan-Pathmodel

Ok, so letting the variables covary is not necessary because lavaan already allows them to covary?

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Moderation in lavaan-Pathmodel

Ok, so letting the variables covary is not necessary because lavaan already allows them to covary?

4/27/19

4/9/19

NA in Std.Err and the CIs, No standard error calculated

Thanks PD for your prompt response, --I checked the link you sent; the person in the post finally

unread,

standard-errors

NA in Std.Err and the CIs, No standard error calculated

Thanks PD for your prompt response, --I checked the link you sent; the person in the post finally

4/9/19

Mayke, … Terrence Jorgensen4

4/2/19

hierarchical model with two first-order factors and one second-order factor

Thank you very much for the quick and helpful replies! Op maandag 1 april 2019 15:37:51 UTC+2 schreef

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hierarchical model with two first-order factors and one second-order factor

Thank you very much for the quick and helpful replies! Op maandag 1 april 2019 15:37:51 UTC+2 schreef

4/2/19

Patrick Paschke, Terrence Jorgensen2

3/29/19

error covariance of auxiliary variables

I checked the error covariances and found that all covariances substantially deviating from 0 are

unread,

error covariance of auxiliary variables

I checked the error covariances and found that all covariances substantially deviating from 0 are

3/29/19

maryam, Terrence Jorgensen2

3/21/19

why my CFA or SEM model gives warning in lavaan??

some variables have outliers and became non-normal; Those are 2 separate issues. scales of these

unread,

multicollinearity

why my CFA or SEM model gives warning in lavaan??

some variables have outliers and became non-normal; Those are 2 separate issues. scales of these

3/21/19

Nicole Alexis Vios, Jeremy Miles4

3/13/19

Structural Equation Modeling: Clarifications and Questions

http://web.pdx.edu/~newsomj/semclass/ho_sample%20size.pdf On Wed, 13 Mar 2019 at 17:02, Nicole Alexis

unread,

Structural Equation Modeling: Clarifications and Questions

http://web.pdx.edu/~newsomj/semclass/ho_sample%20size.pdf On Wed, 13 Mar 2019 at 17:02, Nicole Alexis

3/13/19

Terrence Jorgensen2

1/30/19

Re: Bug with warning messages?

It's possible that lavaan internally sets warn=FALSE when bootstrapping so that 1000 copies of

unread,

Re: Bug with warning messages?

It's possible that lavaan internally sets warn=FALSE when bootstrapping so that 1000 copies of

1/30/19

samfi...@gmail.com

1/18/19

SEM and categorical endogenous variables in lavaan

List, As I understand the implementation of the WLSMV estimator in lavaan, one can think of binary

unread,

non-convergence

SEM and categorical endogenous variables in lavaan

List, As I understand the implementation of the WLSMV estimator in lavaan, one can think of binary

1/18/19

Blain Waan, Terrence Jorgensen3

11/9/18

Confusion about when model is not identified

Dear Terrence, Thanks for your clear explanation! Kind regards On Fri, Nov 9, 2018 at 6:43 AM

unread,

Confusion about when model is not identified

Dear Terrence, Thanks for your clear explanation! Kind regards On Fri, Nov 9, 2018 at 6:43 AM

11/9/18

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