Re: [R] Structural equation modeling in R(lavaan,sem)

From: jouba <>
Date: Sat, 16 Apr 2011 12:43:23 -0700 (PDT)

Dear all, when we have to do an exploration of our data with SEM So this is a lot of possibilities’ there isn’t programms done in order to test theses models  


Date: Tue, 5 Apr 2011 09:49:08 -0500
From: To:
Subject: Re: Structural equation modeling in R(lavaan,sem)

On 04/04/2011 07:14 PM, jouba wrote:
> Thanks you for your response
> For lavaan package can i have more information about this example you have applied in the section 7
> the meanings of The variables (c1,c2,c3,c4, i ,s ,x1,x2)
> I think i have need more information to learn more about how able to apply growth model in my data (longitudianl data)

In the example, c1-c4 are time-varying covariates, i and s are the random intercept and slope respectively, and x1 and x2 are two exogenous covariates influencing the intercept and slope.

Please note: the lavaanIntroduction document is hardly useful to _learn_ about growth models (or any SEM model for that matter). It only explains how to fit them using the lavaan package. To learn about growth models, you may want to read any one of the books below:

Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics) by Kenneth A. Bollen and Patrick J. Curran (Hardcover - Dec 23, 2005)

Latent Growth Curve Modeling (Quantitative Applications in the Social Sciences) by Dr. Kristopher J. Preacher, Aaron Lee Wichman, Robert Charles MacCallum and Dr. Nancy E. Briggs (Paperback - Jun 27, 2008)

An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Quantitative Methodology) (Quantitative Methodology Series) by Terry E. Duncan, Susan C. Duncan and Lisa A. Strycker (Paperback - May 23, 2006)


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Received on Sat 16 Apr 2011 - 23:53:39 GMT

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