Questions tagged [sem]

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.

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How does misspecification of a structural equation model impact the results or interpretation of the model?

Any ideas? I am new to SEM and am struggling to articulate why and how misspecification of the model affects results and interpretation of the SEM.
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Is it possible to use Partial Least Squares-SEM with only one latent variable

I want to compute a Confirmatory Factor Analysis using Partial Least Squares-Structural Equation Modeling. I have only one latent variable and 10 manifest variables....
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Controlling for variables - SEM

I'm currently doing structural equation models. I have 3 factors: x, y, and z. I would like to test if there are any sex-related differences in the factors x and y. Therefore, I dummy-coded sex. As x ...
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Interpreting total, direct and indirect effects in SEM

I'm running a SEM model with one mediator variable (cognitive ability). Using lavaan I report within the code the indirect and total effects to test them. However, I have some doubts on how to ...
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12 views

Panel Data (Longitudinal) Analysis with SEM with continuous variables

I am estimating a SEM MIMIC model with 2 indicators, and 5 causes of a latent variable. I have a panel of around 170 countries for the period 1960-2018. However, my chi-sq and general fit stats are ...
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37 views

SEM model in lavaan: Can't compute standard errors

I was playing around in lavaan to bind together two simple models I previously tested on their own via simple regression analyses. I followed the tutorial provided on the following site: http://lavaan....
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20 views

Moderated moderation (3-way interaction) with latent variables

I would appreciate some help in deciding the analysis method for my research. I have 7 variables: one DV, one IV, two moderators, one moderator/moderating moderator plus 2 controls. My overall ...
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Regarding Factor anaLysis(EFA) and formative and reflective constructs

Is there any relation between Factor analysis(EFA) and reflective and formative constructs? In factor analysis usually the factors emerged i think are reflective as each factor depicts the ...
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12 views

Contradicting Fit Measures in SEM output - Lavaan

I am running a SEM model using lavaan package in R. The idea is to check different mediation effects of social class of origin, cognitive abilities, education and personality on the log-income of the ...
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Lavaan in R : some estimated lv variances are negative (higher order model)

I'm trying to fit a higher order model with five correlated secondary order factors and 14 primary order factors, but I receive following warning in R using cfa() ...
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17 views

covariance of a structural equation model

I'm trying to create a Bayesian structural equation model where I can specify directional paths between observations, latent variables, and indicators. I use the term observations to refer to data ...
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15 views

Residual correlations between indicator variables from different factors?

I have a model with 3 latent variables, measured on 3 different waves (years) after each other with the same items. Now I want to make a cross-lagged SEM model to test whether there is a ...
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Difference in analysis between latent and observed variables in Mplus

I would like to ask what is the difference between the analysis being run on latent and observed variables in a full SEM being run in Mplus. I've been recommended to change the factors within the CFA ...
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Can an independent, predictor variable be used as a multigroup moderator in SEM?

I am analyzing the below model using Structural Equation Modelling. I have PE (continuous, manifest variable) as an exogenous variable. I want to retain PE in the model and run a multigroup SEM on two ...
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SEM: High SRMR in model with binary predictor. Other fit indices OK [closed]

In this post I may display severe lack of understanding in SEM and the math behind it so please be kind. I am testing the following structural model with lavaan using MLM (due to non-normality) with ...
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Invariance in multi-group analysis: how to proceed after I free an item

I'm testing invariance in two samples to determine if there are some differences between some variables. But I have some doubt about it. So since the CFI during my scalar invariance was lower than $....
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Summarizing unexplained variability within groups using fitted random effects or residuals

I have repeated observations (count data) conducted in different plots (say, 5 times each plot). I would like to conduct a regression analysis of the observation data at the plot level with plot-level ...
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Interesting Examples of Using SEMs

Inspired by this article using structural equation modelling (SEM) to investigate inter-cultural conceptions of love, I'm curious: What are some interesting, clever, and/or innovative uses of SEMs in ...
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51 views

Predicting in Structural Equation Modelling

So I would like to do some basic predictions with the SEM model I have produced. So far I've come across 'lavPredict' but i'm struggling to work it. ...
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Are these latent variables too highly correlated in this Structural Equation Model?

this is my first SEM I've done so I'm still getting my head around many of the concepts. So I think I've created a hierarchical model of IQ (generaliq), with the latent variables: verbal_letter, ...
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endogenous moderator in lavaan?

I am still learning about SEM, lavaan, and moderated mediation. My question is whether a moderator can be an endogenous variable - i.e. whether the variation in the moderator can be modelled as ...
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Non-significant result in CFA model

I've fitted a one-factor model to data originating from a unidimensional 8-item scale; sample size is 400. Because the scale uses a Likert response format, and data does not follow a multivariate ...
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23 views

Obtain standardized factor scores for latent variables after CFA - Lavaan package in R

I want to predict the factor scores of latent variables from CFA, and use them as independent variables in another model (not SEM). Because the latent variables don't have a measurement unit, I want ...
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Cross-lagged model with more than two variables (SEM)

I was wondering if anyone could point me to some literature discussing cross-lagged structural equation models with more than two variables: all the materials I found keep it very simple, and I ...
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What is an autoregressive synchronous panel model in structural equation modeling (SEM)?

I am reading a paper on the use of social networks and political participation that uses SEM for data analysis (Halpern, Valenzuela, & Katz, 2017). The authors employ a two-wave panel survey to ...
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What R package to use to test assumptions for Structural Equation modelling?

I am looking for a way to test assumptions for Structural Equation Modelling. My model has observed variables that together predict one latent variable, which in turn predicts another observed ...
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25 views

Coefficient Equivalence Test for GSEM?

I am utilizing GSEM to examine a relationship between borderline personality disorder symptoms and violent offending risk. I am employing GSEM because I want to test a dual path model, examining self-...
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What does it mean if EFA shows worse fit than conceptual CFA?

I'm in the middle of developing a psychometric scale and running a few factor analyses here and there. I already have a theory in mind and the scale was developed with 4 factors. I ran a confirmatory ...
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Calculate unbiased standard errors for a regression from latent factor correlations

I have a SEM where various latent variables are correlated with each other. I want to use a subset of these correlations to run a regression. This can be done easily enough to find point estimates, ...
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Structural equation modeling mathematical/analytical estimation of latent variables

I want to know how latent variables are estimated in structural equation modeling. I do not understand at what point and in what way the standard SEM software comes up with the estimates for latent ...
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25 views

How to compare SEM estimation methods in R? [closed]

I would like to use several estimators in SEM (e.g. ML vs Yuan-Bentler vs DWLS) and then by using Monte-Carlo approach compare: (a) average relative bias of the estimators, (b) average relative ...
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29 views

How to create a data analysis template (lavaan parameter table) using simsem package R?

I am unfamiliar with simsem package for SEM simulations, and would like some help with it. I would like to create a data analysis template (lavaan parameter table) ...
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82 views

Any examples of Monte-Carlo analysis in R for sample size calculations for SEM?

I would like to calculate required sample size for my SEM model to achieve the power of at least 0.8. I read some articles that recommend using Monte-Carlo analysis in order to determine the sample ...
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34 views

Testing Measurement Invariance on data with small sample size

I‘m wondering what is the best way to test measurement invariance on data with small N, since CbSEM requires at least N = 200, or 5 - 10 cases for each indicator. For example I want to test a ...
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Book recommendations on how to conduct simulations in the context of OLS and Structural Equation Modelling

The title really says it all. Does anyone have any recommendations for well-written books, preferably with plenty of examples, on how to conduct simulation studies in the context of OLS and Structural ...
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Best choice of estimators in a CFA analysis without full dataset?

My team and I are working on an assignment that provided: A model to be tested, consisting of 2 Factors explaining 6 variables; $F1$ would be explained by $X1, X2$ and $X3$, while $F2$ would be ...
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10 views

Variation in path analysis coefficients over continuous gradient

I have a structural equation model which predicts a response (y) from a predictor (x) with a mediating effect (z), here specified in R lavaan syntax: ...
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1answer
25 views

Normality test without knowing a sample's mean

I've been searching for a way to approach my problem. This is a scenario from a Multivariate Statistics Assignment on Confirmatory Factor Analysis. We've been given only a correlation matrix on 6 ...
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33 views

How to run a moderated multilevel mediation in R?

I am trying to run a moderated multilevel mediation in R. I have encountered the mlma and bmlm packages, as well as Elizabeth Page-Gould's open-source code for testing indirect effects in multi-level ...
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1answer
32 views

Correct Estimator for Path Analysis/SEM Using Categorical Covariate

I'm currently building a path analysis model with model-based corrections for measurement error, using a latent variable structural equation model (i.e., each observed variable serves as a single ...
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One or two structural equation models if DVs are not theoretically related?

I have four DVs and 3 IVs. The IVs predict all DVs. The DVs are split into two pairs. That is, DV1 is theoretically related to DV2 and DV3 and theoretically related to DV4, but there is no theoretical ...
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How to fit a continuous latent variable to a logit model and have its coefficient estimated using Stata gsem?

I am working on a data from which I assume there exists a latent variable that is (1) continuous in scale and (2) is a function of various covariates. I then want to incorporate this latent continuous ...
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1answer
64 views

Determining sample size for Structural Equation Model with R

I want to run and experiment to test the validity of a theoretical model. I have the structural and measurement model, but do not have previous data on any of the parameters. Is there a way I can find ...
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29 views

Help with Interpreting results from 2 models: Variance explained vs Indirect Effects?

I am comparing two models using Path Analysis (pictured). Model A explained 49% of the variance in my DV. Model B (which is the same as Model A + an additional mediator) explained 48% of the variance ...
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Partial least square

In the context of confirmatory factor analysis, structural equation modeling, & predictor space dimension reduction. PLS is a supervised dimension reduction procedure, since it summarize the ...
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1answer
106 views

How to control for demographic variables in Path Analysis?

I am running a series of path analyses using AMOS and could desperately use some help around how to control for confounding demographic variables; Q1. I have read that while some demographic ...
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71 views

endogeneity in SEM

I am really having a hard time realizing the difference between OLS regression and SEM (structural equation modeling) from a causal inference point of view. I do understand some features of SEM such ...
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31 views

is LGM without factor variance just comparing means?

Let’s say a simple latent growth model with just two time points, constrained the variance of these two time points to be zero. Are the latent intercept and latent slope then merely using the mean ...
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19 views

Confirmatory structural equation modelling to test predicted strengths of relationships?

I have two implicit measures (impl. attitude towards high-cal food and alcohol) and two explicit measures (high-cal food consumption and alcohol consumption). I want to confirm that my implicit ...
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omitted variable bias in regression and correlated error terms in SEM

I am having a hard time understanding the fundamental difference between regression and SEM (I have a firm understanding of omitted variable bias in regression). It seems that SEM by definition does ...

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