Structural Equation Modeling is a multivariate technique popular in social sciences. 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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Interpreting and simulating reciprocal relationships in path analysis

I'm trying to model how the process of habitat clearance affects the number of species in a landscape, using path analysis. I have the following variables: ...
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138 views

What is the “partial” in partial least squares methods?

In partial least squares regression (PLSR) or partial least squares structural equation modelling (PLS-SEM), what does the term "partial" refer to?
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10 views

In testing a structural model fit, how strongly do the measurement models fit influence the overall structural model fit?

I am a beginner in SEM, sorry if this is an obvious question. But I have searched the literature and could not find anything that answers my question (except for this question: SEM: Do I still have to ...
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39 views

When a CFA model has a “covariance matrix was not positive definite” problem, is it due to the dataset or the model?

I am testing several CFA measurement models with Lavaan in R. The questionnaire that I am investigating has been shown to be composed of 1-factor, 3-factor, and 4-factor. In the dataset, I found ...
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1answer
21 views

Multi Channel Attribution using Structural Equation Modelling

I am a beginner at modelling. I have to build a multi channel attribution model that attributes revenue to various channels touched over a period of time.I want to know how suitable will Structural ...
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20 views

SEM Model Comparisons

I am learning/applying SEM to survey data in a behavioural study. I am comparing two structural models - one is simply having all the latent explanatory variables pointing to the response latent ...
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2answers
72 views

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 ...
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12 views

Partial least squares structural equation modeling: simulate dataset based on a given model

Is there any R package or other software, with which one can generate a dataset based on a given pls structural equation model? For covariance based structural equation modeling I found the simsem ...
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10 views

R: semPLS redundancy() function [migrated]

I don't have a clue about what the redundancy() function in the semPLS package does and could not find an explanation on the help pages or other semPLS papers. Take the ecsi model for example: ...
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26 views

CFA chi-square value ordinal variables

For my thesis I need to know how the chi-square value is computed with a CFA for ordinal variables, using DWLS (preferably in R). I know that for continuous variables the chi-square is computed in the ...
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1answer
45 views

Creating composite vairables in Structural Equation Modeling

I was wondering if you can help me. I want to run a pathway model using composite variables. Each composite variable is made up of 3 or 4 observed items. To create the composite variable to draw my ...
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1answer
84 views

A way to compute significance of R-squared change across models in a path model, or specifically lavaan?

I have a straightforward path model with a single endogenous variable and multiple observed predictors - in other words, a regression. (I'm doing it as a path model to be able to easily test ...
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1answer
19 views

Structural Equation Model

It is possible to include observed variables as part of the structural model. For example, to find the impact of latent variables on observed variable.
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Structural equation modelling: model selection

I am currently trying to fit a structural equation model in R with the Lavaan package. I have this model that fits my data pretty good. This model is what I consider the full model, it has all paths ...
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27 views

Comparing a model with a latent variable to one without

I would like to test whether my 3 dependent variables all load onto an underlying latent variable or if a latent variable is not necessary to explain the relationship between the IVs and the DVs. In ...
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10 views

Multiple groups - how to regularise estimate of level 1 parameters based on level 2

I am fitting some relatively complex structural equation models, but the specific model is not so important. I am estimating multigroup models, such that one parameter is completely free across ...
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27 views

Specifying a structural equation model with sem

I'm new to sem package and sem analyses, so this is probably very basic, although I was not able to solve it myself reading some other similar posts. I was trying to specify a structural equation ...
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19 views

Bad Model Fit indices - SEM

I am writing my doctorate thesis and testing the developped hypotheses by calculating a SEM. Unfortunetly, even though I deleted lots of items and even some factors (based on a reliability analysis, ...
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57 views

Multicollinearity Issue in SEM model

In our model we are getting multicollinearity issues. But the problem is that we can't combined the variables or drop certain variables to get rid of multicollinearity. Model Structure: My Model ...
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Zero-inflated mediator in a structural equation (MIMIC) model: dealing with structural zeros

My task is to estimate the impact of job change and its characteristics (e.g. voluntariness) on well-being. Well-being is measured at two time points, T1 and T2. Some respondents have changed jobs ...
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“object 'logl.H0' not found” - Error in fitMeasures when calculating AIC for Lavaan model

EDIT: SOLVED The problem seems to have been an explanatory variable that was a factor. If it is made binary numeric insted, the values of BIC and AIC is calculated alright. However, the analyses give ...
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1answer
42 views

How to estimate model where instrument is correlated with dependent variable

I have the following problem: I would like to estimate the effect of price variation caused by uncertainty on an outcome variable. P is my price, X is the variable measuring uncertainty and Y is the ...
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18 views

Latent growth model with differing outcome measures across time points

I'm hoping to fit a latent growth model in a situation where the availability of outcome measures changes across time points. Specifically, looking at antisocial behaviour in developing youth where ...
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1answer
29 views

Time-variant & Time invariant & Time-related

In Longitudinal study, What are "Time-variant covariates", "Time invariant covariates" and "Time-related covariates"? and what is differences between them?
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Why is the R-Square of PROC CALIS a period

I am running PROC CALIS on some data and everything seems to work correctly, except the R-Square table has a . (period) for the R-Square of one of the measured dependent variables. Why would this be? ...
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30 views

Partial least squares regression on survey data with multiple scales

I have a survey data set composed of 7 scales, each scale with 7 to 10 items. The theoretical framework I've devised uses 5 of the scales as independent variables and 2 of the scales as dependent ...
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22 views

within-MZ twin model using sem in Stata

I'm working with some twin data and would like to estimate something exactly akin to xtreg using sem in Stata. The structure of the data is pretty generic: there's a family id, there's a within family ...
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How to model dynamic relationships in panel data when units exhibit heterogeneous variance

So I'm taking a look at a dataset of about 200 individuals, each with a number of variables measured 50 times longitudinally. A lot of these variables are subjective, and scored on a scale of 0-100, ...
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55 views

Correlation of latent variables: Sum-scores vs. SEM correlation

I use a set of about 20 attitudinal items and confirmatory factor analysis (CFA). Loadings and model for are sufficient. In the next step, I want to test for correlations between these latent factors. ...
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20 views

structural equation model based on generalized maximum entropy in R

I am trying to conduct an experiment based on generalized maximum entropy but I am not sure on how GME is different from maximum entropy. Can anybody tell me how to reparametized the SEM based on GME ...
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32 views

How to use SEM for prediction?

I am working on a structural equation model (SEM). The goal in the model is to model the level of satisfaction with commute to work. I already fit the model to the data I have; however, what I would ...
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2answers
37 views

Confirmatory factor analysis without the raw data

I have the correlation matrix, sample sizes, and descriptive statistics for a set of variables. I know that it is possible to run principal component analysis (PCA) and exploratory factor analysis ...
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111 views

Count data in a Structural Equation Model

I am currently trying to fit a structural equation model (SEM) on a certain dataset using R (lavaan package). Some of the most important variables in my model are count data (abundance of different ...
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1answer
99 views

Paired samples t-test using a structural equation modeling approach

Is it possible to perform a paired samples t-test in a structural equation modeling (SEM) program? I am confused, as I have found on the web that you can run a Wald test, but I am not sure if it is ...
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1answer
219 views

Multiple imputation introduces negative values; dataset still valid?

After some detective work in my data sources, I realized the reasons for my previously reported 98% of missing data ratio. After implementing some data collection code fixes, the current missing data ...
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Conceptual links and differences between generalized and latent models

Please bear with me, as I'm trying to better understand these aspects. My understanding is that (finite) mixture models (MM) are characterized by a presence of a number of sub-populations in a ...
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121 views

Plottin lavaan SEM/CFA in APA-style

I like doing SEM's with lavaan. But I dont like reporting them because I haven't found a good way to plot them in APA-style. I usually rebuild the model in PowerPoint and add the parameters by hand. ...
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1answer
111 views

SEM variances of residuals fixed to 1?

I'm trying to perform structural equations with two second-order latent variables and five first order latent variables (since "a picture is worth a thousand words" I pasted my model below). To ...
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99 views

Multi-group SEM with a categorical outcome (using lavaan)

I'd like to ask the SO community for some help in regard to the interpretation of a structural equation model with three groups, featuring a categorical outcome. I have found a lot of sources treating ...
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1answer
64 views

Latent Class Models

What is difference(Or relation) between "Latent Class Analysis"and Structural Equation models" and "Latent Growth Curve Models"?
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Is this mediation or a simple path?

This is my model adapted from a study. I want to know whether I can only study it as a path analysis without studying mediation effect (1 $\longrightarrow$ 5 direct effect, as well as indirect ...
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739 views

What to do when CFA fit for multi-item scale is bad?

I am not sure how to proceed with this CFA im doing in lavaan. I have a sample of 172 participants (I know that’s not much for a CFA) and 28 items with 7-point Likert scales that should load on seven ...
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56 views

Answering Research Questions with Multi-level Structural Equation Modeling (ML-SEM)

This time, I have a more theoretical than computational predicament. I have a path model that I am interested in testing on a data set with two groups. It is a very simple two predictor model outlined ...
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63 views

Structural Equation Model design through AMOS, interpretation help

I have calculate the estimates through Maximum Likelihood procedure with model of six latent variables(presented in big ellipse) with respective observed variables (presented in rectangle) in AMOS ...
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81 views

R, lavaan package, latent change model: Definition of change parameter?

I'm currently struggling with the latent change model that I try to realize in R with the lavaan package. R can't estimate all standard errors, which makes me believe that the model is not fully ...
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1answer
34 views

Ill-labeled survey repairable by analysis?

Suppose a survey has five items with a six-point Likert scale. It has been rolled out with ill-formed labels: *the (2) was labelled by "somewhat disagree" instead of "disagree" - and vice versa the ...
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49 views

Structural Equation Models - building with a large sample, and testing with a small one?

I'm planning a study using Structural Equation Modelling to test different accounts of language learning. I would like to study a group of children with language difficulties. However, they are very ...
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66 views

gsem goodness of fit

does anyone have any advise how to obtain goodness of fit information after a gsem command (for a logit path model) in Stata verion 13? Or would you advise to use BIC and AIC instead? Thank you for ...
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118 views

Identifying Instrumental Variables to use in tsls function in sem R package

I want to reproduce the Example from Introduction to Econometrics by G. S. Maddala in R using tsls function from ...
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146 views

Is it possible to fit a Graded Response Model in Stata?

I've been reading about Item Response Theory during the past few weeks and I'd like to use it to examine how my scales are functioning. The response categories are ordinal. If I understood well, the ...