Simulate Data From CFA with regression between Latent Factors

[Chiel Mues]

Hello,

I would like to simulate data from a CFA (well technically it would be a SEM I suppose) where the latent variables follow a prespecified relationship.

sim_model <- '

V1 =~ X1 + X2 + X3 + X4

V2 =~ X5 + X6 + X7 + X8

V2 ~ abs(V1)'

Put in words, I would like to simulate from a SEM where V2 is regressed on the absolute value of V1. Preferably also assuming categorical variables.

Is this possible?

[jpma...@gmail.com]

Hi Chiel,

Yes, it is. It is this easy:

 

set.seed(123)

pop.data <- simulateData(model=sim_model, standardized = TRUE, sample.nobs=10^5, skewness = 0, kurtosis = 0)

 

see the simulateData function…

 

best,

João Marôco

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[Chiel]

I know about this function, but V2 ~ abs(V1) is not syntax Lavaan accepts. 

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[Terrence Jorgensen]

I know about this function, but V2 ~ abs(V1) is not syntax Lavaan accepts. 

lavaan (and most SEM software) only model linear effects.  

Terrence D. Jorgensen

Assistant Professor, Methods and Statistics

Research Institute for Child Development and Education, the University of Amsterdam

UvA web page: http://www.uva.nl/profile/t.d.jorgensen