lavaan

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

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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.

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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

Vibeke Nielsen, Nickname2

12/20/19

Bivariate latent change score error: initial model-implied matrix (Sigma) is not positive definite

Vibeke, Unfortunately, the model syntax is not sufficient to determine the model that you fit.

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Bivariate latent change score error: initial model-implied matrix (Sigma) is not positive definite

Vibeke, Unfortunately, the model syntax is not sufficient to determine the model that you fit.

12/20/19

Carly P, Terrence Jorgensen2

11/9/19

Estimating exogenous covariances worsening model fit

growth() is only for simple growth curves (ie, with exogenous growth factors). Draw a path diagram of

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Estimating exogenous covariances worsening model fit

growth() is only for simple growth curves (ie, with exogenous growth factors). Draw a path diagram of

11/9/19

Shajar, … Nickname8

11/9/19

What is the correct way to define the covariance when measurement error is defined

Shajar, >Can you explain what is the "uniqueness covariance"? PP_Outlet ~~ TNdif In the

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measurement-error

What is the correct way to define the covariance when measurement error is defined

Shajar, >Can you explain what is the "uniqueness covariance"? PP_Outlet ~~ TNdif In the

11/9/19

Lazaros Gonidis, Terrence Jorgensen3

10/4/19

lavaan Regression predictors p values different than the SPSS output

Many thanks Terrence, especially for the simulating data part. I will look into that straight away.

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lavaan Regression predictors p values different than the SPSS output

Many thanks Terrence, especially for the simulating data part. I will look into that straight away.

10/4/19

Shajar, … Nickname19

8/22/19

covariances of the composites

Thanks Keith! You helped me understand the broader aspect of formative measurement models as well as

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covariances of the composites

Thanks Keith! You helped me understand the broader aspect of formative measurement models as well as

8/22/19

Christopher Galgo, PD2

7/19/19

Factor Score Path Analysis

Try the :::fsr function. See the articles that discuss this approach, which explain the variance/

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correlationMatrix

covarianceMatrix

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.

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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

Sn Q. Nguyen, … Terrence Jorgensen4

6/29/19

Comparing Indirect Paths and Relative Contributions

There seem to be some interesting special cases in which the indirect effect and direct effect differ

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Comparing Indirect Paths and Relative Contributions

There seem to be some interesting special cases in which the indirect effect and direct effect differ

6/29/19

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

Dae Meow, … Dan Laxman4

12/15/18

Thank you, Dr. Jorgensen, for replying to this. Dae Meow, please ignore my response. I misread your

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Thank you, Dr. Jorgensen, for replying to this. Dae Meow, please ignore my response. I misread your

12/15/18

Terrence Jorgensen

12/9/18

Re: Fixing latent factor correlation -not covariance- to 1

I am new to lavaan after AMOS and I was wondering how I can fix the correlation between two latent

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Re: Fixing latent factor correlation -not covariance- to 1

I am new to lavaan after AMOS and I was wondering how I can fix the correlation between two latent

12/9/18

unordered, Christopher David Desjardins4

11/16/18

covaraince between exogenous variables

It's because you are overriding the fixed.x = TRUE with the exogenous covariance. Presumably, you

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covaraince between exogenous variables

It's because you are overriding the fixed.x = TRUE with the exogenous covariance. Presumably, you

11/16/18

ju.lis.br...@gmail.com, Terrence Jorgensen2

11/9/18

covariance matrix, missing variables

In model 2 the exogenous variables landscapeforest.fragment and landscapeisland are present in the

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covariance matrix, missing variables

In model 2 the exogenous variables landscapeforest.fragment and landscapeisland are present in the

11/9/18

fahd alfarsi, Terrence Jorgensen2

11/8/18

why covariance lines between dependent variables + why orthogonal option affects dependent variables

why there are covariance lines shown between dependent variables when I use SemPaths. The sem()

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why covariance lines between dependent variables + why orthogonal option affects dependent variables

why there are covariance lines shown between dependent variables when I use SemPaths. The sem()

11/8/18

Hannah C, Terrence Jorgensen3

11/7/18

Covariance between latent factors = greater than 1 : can I constrain it to 1?

Hi Terrence Thanks for your reply. Regarding your second point, the CI's do include values < 1

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negativevariance

Covariance between latent factors = greater than 1 : can I constrain it to 1?

Hi Terrence Thanks for your reply. Regarding your second point, the CI's do include values < 1

11/7/18

Courtney McDermott

9/27/18

Three-level longitudinal SEM--is it possible?

I'm working with three level data (two level with repeated measurements): Emotional Self

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Three-level longitudinal SEM--is it possible?

I'm working with three level data (two level with repeated measurements): Emotional Self

9/27/18

Dai Duong, Terrence Jorgensen4

9/28/18

Covariance between exogenous binary variables in SEM

Dear Dr.Terrence For the problem: 2. The above command only work with exogenous variables that have

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Covariance between exogenous binary variables in SEM

Dear Dr.Terrence For the problem: 2. The above command only work with exogenous variables that have

9/28/18

James Neale, Edward Rigdon4

8/19/18

Correlate Errors in Lavaan

The variables themselves are correlated through the path model. Residual covariance is all that is

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Correlate Errors in Lavaan

The variables themselves are correlated through the path model. Residual covariance is all that is

8/19/18

fotin...@gmail.com, Terrence Jorgensen2

8/14/18

Warning: covariance matrix of latent variables is not positive definite

Is this telling me that I have to exclude PAa from my model? I'm not sure why you are singling

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negativevariance

Warning: covariance matrix of latent variables is not positive definite

Is this telling me that I have to exclude PAa from my model? I'm not sure why you are singling

8/14/18

Alex Hodgkiss, … Alex Hodgkiss3

8/1/18

Controlling for other variables in a CFA

Great. Many thanks!

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Controlling for other variables in a CFA

Great. Many thanks!

8/1/18

Blain Waan, Terrence Jorgensen5

7/9/18

Negative residual covariance between categorical endogenous variables in a cross-lagged SEM

One more thing, does lavaan give me partial "correlation" or "covariance" as the

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Negative residual covariance between categorical endogenous variables in a cross-lagged SEM

One more thing, does lavaan give me partial "correlation" or "covariance" as the

7/9/18