Statistical Analysis Stack Exchange
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Questions tagged [structural-equation-modeling]

Structural Equation Modeling is a multivariate technique. It is based on formulating a set of linear relations between variables, some of which may be latent, and estimating the whole system, typically by analyzing the covariance matrix of the observed variables.

Structural Equation Modeling is a multivariate technique popular in the social sciences. SEM generalizes path analysis and confirmatory factor analysis. Positing a set of relationships amongst the manifest variables, and possibly latent variables, implies a population covariance / correlation matrix amongst the manifest variables. Thus, the system can be estimated from sample data and its fit tested.

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Covariance among latent variables

In many SEM examples, we have noticed that covariances are specified between latent variables. My questions are: What are the advantages of specifying covariance in SEM models? If there is high covariance within 2 variables, does it affect the…
Beta
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Path analysis or a full SEM?

I have been researching this topic for some time now and was after some opinions or comments. Are there any situations where a path analysis (a form of SEM) might be more appropriate than a full SEM? Specifically, if measures used are standardised…
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What is the difference between standardized and unstandardized estimates in SEM (thinking of AMOS in particular)?

AMOS, like other SEM packages offers standardized and unstandardized estimates of the parameters. What is the difference? Are unstandardized estimates based on the covariance matrix and standarized on the correlation matrix? Or is it something else?
Placidia
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Unable to estimate standard error after freeing first indicator in SEM model - Why is it so?

I'm new to SEM + posting on this forum; do let me know if I'm being unclear in any way, and I'll do my best to clarify. Background I'm working on a SEM assignment to estimate the fit of a model, with 6 indicators loading on to a latent variable. I'm…
ballooninging
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Why is RMSEA typically reported with a 90% confidence interval, and not 95%?

Kline (2016) writes that [RMSEA] is usually reported in computer output with the 90% confidence interval $[\hat{\epsilon}_{L},\hat{\epsilon}_{U}]$ where $\hat{\epsilon}_{L}$ is the lower-bound estimate of $\epsilon$, the parameter estimated…
user1205901 - Слава Україні
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Poor model fit but significant and high path coefficient values in Structural Equation Modeling

I wonder if it is possible to have a poor model fit and at the same time strong significant and high path coefficient values among the latent variables? How would be interpret this? Also, what if we obtained strong model fit but non-significant/low…
renakre
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What are operational (true) validities?

In the article Oh & Berry (2009), p. 1506, in the note for Table 2, a certain statistic is used: "Operational (true) validity is the LISREL estimated correlation corrected for measurement error in the criterion measure" Can anyone explain a) what…
histelheim
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Ridging a singular covariance matrix (SEM)

Structural equation models sometimes cannot be fit due to a singular sample covariance matrix. Now some authors suggest to apply a "gentle ridging" to the diagonal which helps (this is for example done in Mplus). How does ridging exactly work?…
Felix S
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Latent variables in covariance based structural equation modeling

In the partial least squares approach to SEM the latent variables are a weighted sum of their manifest variables: $$LV_{1}=w_{1}X_{1}+w_{2}X_{2}+w_{3}X_{3}$$ I think this refers to the composite factor model. With this I can solve regression…
jannic
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SEM - Direct and Indirect effect contribution

I'm trying to understand how the direct and indirect impact on a SEM using the plspm package. The structure path of the model is the following : After estimating I get the following results : relationships direct indirect total IMAG ->…
Thor6
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What are, really, structural equation models?

I can't really find a clear description of how SEMs work, or even whether they are a really unified thing or just a bunch of other methods that people refer to as a whole. The definitions one finds typically say what they can be used for (e.g. find…
Tiago Marques
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Difference between SCM and SEM

I'm currently looking into causal modeling (according to Pearl) and I'm having trouble understanding what exactly sets apart structural causal models (SCM) and structural equation models (SEM). The only info I found to far is that for SCM [1] The…
Johann
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How can you analyse a model which is both formative AND reflective?

I’ve had a student complete a piece of work with some great data. I am considering re-analysing the data for publication. SEM makes sense, but the model is both formative and reflective. How can I overcome this issue?
user205985
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Reference needed: Who introduced the graphical representation of a SEM?

I am hoping somebody can provide a reference to the paper that provide the first graphical representation of a structural equation model (SEM) that follows the generally accepted conventions like this figure.
Brian P
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SEM: What is measurement model?

I would like to know the definition of measurement model in SEM. Is it only about the latent variables? (THat's what I seemed to see what I google.) But I remember long time ago I read somewhere that we need to include all the variables in the SEM…
ceoec
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