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.

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33 views

Should dummy variables be allowed to correlate (R code & data provided)

tl;dr: What is the difference between a regression model that allows its dummy variables to be correlated and one that doesn't do so? For example, how does that affect Standard Error of the regression ...
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7 views

Modeling proportional data with known denominator in SEM

I plan to estimate a structural equation model with several latent variables (e.g. attitudes of customers) as predictors of a dependent variable which is a proportion (e.g. # of times choosing car A / ...
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In SEM, are latent variables always interval scale variables? [closed]

In SEM, are latent variables always interval scale variables, or can they be ever ratio scale variables?
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Dependent variable with Poisson distribution in lavaan in R: how to deal with it?

I am planning to create a SEM model with lavaan. Most variables are normal, however, my dependent variable consists in a count of times and it has a Poisson distribution. Is there any Poisson ...
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How to plot SEM estimate confidence intervals in R? [closed]

There are multiple packages that help plotting confidence intervals of the estimates of a regression model in R, such as plot_model. There is also this thread about plotting ...
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Multi-group CFA analysis - two different outcomes

I have four first-order factors explained by one second-order factor. I am going to test the second-order factor across two different groups, one in Poland (group 1) and one in Spain (group 2). Also, ...
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Is it possible to use path analysis on data from split plot experimental design?

Assuming that the two treatments of a 3x2 factorial design study are dependent on one another (to some degree), is it acceptable to use a split plot experimental design? Alternatively, is it possible ...
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Bifactor-model in Mplus - warning message: PSI is not positive-definite

This question is about: When does the warning massage appear? I have a rather complicated model in Mplus that consists of three individual models. Each model consists of several manifest variables ...
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23 views

Chi Squared Fit Statistic in Structural Equation Models

I am interested in structural equation modeling. I am trying to get to the bottom of how $\chi^2$ is calculated for a structural equation model. I understand that outside of structural equation ...
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Structural Equation Modeling (SEM) with betareg in R

We have an SEM model and we were using Lavaan but we learned that the distribution of the residuals of one of the regressions is far from normal. The response variable in that equation is students' ...
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How to interpret “the flow of causality” for a variable in the middle of a path model?

I am struggling to interpret the relationships between variables in large path models. I have built a schematic path model that encapsulates my main issue. In the model below, how do I interpret the ...
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Latent Growth Curve Modeling and Model Choice

I am running an analysis of a clinical trial dataset. The research question is whether variable y influences the outcomes at each timepoint either as a main effect or in interaction with variable z (...
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Defining single indicators for CFA and covariance in Lavaan (R)

I am struggling with performing my very first confirmatory factor analysis (CFA) and structural equation model and I am already stuck. For reference, I am using the Lavaan package in R. I am ...
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SEM Lavaan output producing NAs

I've put together a fairly simple model, where X, Z, and Y are latent variables and I am trying to model an interaction between X and Z but when I do, the model does not seem to be converging. ...
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SEM with mixed and ordinal continues data, with missing values, with nonnormality

I have a dataset with missing values (over 10% missing), mixed ordinal and continuous variables, and non-normality. I am trying to fit a Structural equation model (SEM) using this dataset. Could I use ...
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Doing T-test across two data sets [closed]

So our paper is undergoing a second round of reviews and one of the reviewers asked the following question: "Add a t-test for wave 1 vs. wave 2. They won't be perfect, but if they are included as ...
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SEM with nonnormal data and missings in dataset

I am planning to conduct structural equation modelling and I am confused with all the different ways to handle the following situation: I have missings on my dependent variable, not on the other ...
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24 views

How to model this explicitly?

I have the following data: Levels of a specific microRNA, levels of two proteins that I have prior evidence are both regulated by this microRNA, and diagnostic stages of a disorder that is associated ...
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14 views

Interpreting Structural Equation Modeling using semPlot

I am getting confused on how to approach structural equation modeling. I have read some articles and textbooks about SEM using the lavaan and semPlot package though I'm getting mixed up with ...
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1answer
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DWLS estimator in lavaan & interpreting indirect effects

I performed SEM using lavaan with RStudio on a model that includes 1 categorical independent variable, 2 parallel mediators (ordinal), which are latent, and 2outcome variables, one of which is ordinal ...
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I am running a simple mediation model. How do I control for race, and if I do, will I loose statistical power?

I am running a simple mediation model in a path analysis framework using Mplus. The direct path in my model is grades (independent variable) predicting happiness (dependent variable). The indirect ...
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Is it possible to use a dependent variable derived from one regression as an independent variable in a different regression?

For my thesis, I'm researching the effect of employee job satisfaction on customer satisfaction, mediated by service quality, using a company as a case study. I was planning to determine employee ...
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Reporting a Multiple Partial Mediation as Percentage (e.g. Indirect / Total * 100)

I calculated a multiple mediation (two exogenous predictors $x_1$ & $x_2$) with two mediators ($M_1$ & $M_2$) and finally one depedent endogenous variable ($y$). I used path analysis / lavaan. ...
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How can I get p-values (or significance) from bias corrected and accelerated bootstrapping (BCa) in semPLS R?

A similar question has been asked and not yet answered on StackOverflow - someone recommended moving it to here. https://stackoverflow.com/questions/65870669/how-to-get-t-statistics-and-or-p-value-in-...
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interpreting lavaan output and model

My question is similar to a prior post, but differs in that I am trying to do path analysis through lavaan and my output is different. See :How do I interpret lavaan output? Essentially, my model is ...
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Assumptions of Path Analysis - Multivariate Normality inspite Univariate Non Normality

I am currently checking if my data meets the assumptions for path analysis: mainly multivariate normality of the three endogenous variables $m_1,m_2,y$ (As recommended by e.g. Streiner, 2005). I ...
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Why are my P-value and Fishers C value in Structural Equation Models exactly the same despite different response variables?

I am conducting a Piece-wise SEM (using the Rpackage PiecewiseSEM) with three pathways. I am conducting the exact same model, with exactly the same predictors, for two different response variables. ...
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40 views

Exploratory factor analysis with factor evolving over the time

Drawing an analogy, my task can be phrased like this: Evaluate a person's IQ based on several tests and examine how IQ changes over time. I do $K$ different intelligence tests for each person several ...
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19 views

Pathmodel fully saturated vs trimming insignificant path

I am using a pathmodel to analyze a multiple mediation. I have three exogenous variables ($x_1,x_2,x_3$) and two mediator endogenous variables ($m_1,m_2$) and one final endogenous variable that is the ...
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1answer
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Pathmodel - Choosing the “correct” Estimator

I am currently working on a mediation pathmodel with lavaan in R. For the model I want to include 3 exogeneous variables that are sociodemographics. One is metric (age) and the other are dummy coded (...
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In confirmatory factor analysis, what is the notation for the modification index?

What symbol or abbreviation can we use to refer to the modification index? Say you were writing an article about a CFA that was performed and inside of the article you want to list several ...
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1answer
15 views

Could not compute standard errors in lavaan but why?

I am estimating a two-factor model in lavaan via sem(). I try and estimate this model in two different ways that should be equivalent (unless I am missing something) but one way gives an error ...
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6 views

How to settup a databas for PLS model different scenarios- same individuals

I am currently doing my Master Thesis on how the Willingness to Pay (WTP) and Purchase intention (PI) of customers is affected by the level of customization of a product; I am using PLS-SEM model. ...
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26 views

What is the baseline model in structural equation modeling analysis, what it may look like?

I am reading (also learning) a paper using structural equation modeling (SEM) as their analysis method. Their analysis was constructed by using a correlation matrix and asymptotic variances. They ...
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11 views

How do I interpret fit statistics SEM and Modindices output?

I would need some help in understanding the SEM output. I run a latent change score analysis to test the change score of a variable of interest at two-time points (repeated measure) PLD1 and PLD2. in ...
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1answer
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Are “discrete-like” questionnaire sum-scores acceptable as “continuous” variables in SEM/path models?

I am trying to do some path modelling (i.e. SEM without the estimation of any latent variables). I am using questionnaire sum-scores in one of my models - where the questionnaire from which scores are ...
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20 views

Is there any requirements on the number of indicator variables? and Reliability test?

Hello I am learning to perform structural equation modeling analysis, attached is the proposed model. 1. Am allowed to only one indicator variables (observed variable, exogenous) (a1) for variable A. ...
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1answer
36 views

Mediation: How can the Total Indirect Effect be significant when the Indirect Effects are not?

I ran a mediation analysis with two mediators (M1 and M2) using lavaan and I am somehow confused about the results: Direct Effect: The total direct effect of X on Y is not significant. X is, however, ...
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65 views

How to generate two distinct sets of correlated ordinal variables?

I want to generate two distinct sets of correlated ordinal variables (ranging from 1 to 7). The first set will be represented by x1, x2 and x3 whereas the second set will be represented by x4, x5 and ...
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46 views

How to apply structural equation model (SEM) to set up the SNP pleiotropic effect

Some researchers will use SEM model to detect pleiotropic effect and causal effect. In my opinion, SEM model can not be considered as the proof for effects, instead, the SEM model only provides the ...
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1answer
46 views

Latent variable two time-point model

I have a latent variable that was measured at 2 time points, and I want to model the growth in this latent variable. I then want to examine how variations in slope and intercept differ by latent and ...
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36 views

Moderated Mediation Insignificant C'

I am conducting a moderated mediation analysis using Hayes' Process Macro Model 7. I am having a significant index of moderated mediation, significant a path and b path and significant moderator X ...
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6 views

How can I summarize latent variables using PLSSEM

I am kinda new to PLS SEM, but I think I have the steps down and can interpret the results. However, I initially like to look at summary statistics of variables when a single variable measure a ...
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1answer
15 views

Structural equation modeling for habitat suitability

I am new to the concept of SEM. Yet, after reading about SEM it seems quite promising to give me a better understanding about how influential/important a set of measured variables (in respect to each ...
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12 views

Model fit across methods

I have one dataset and I would like to compare analytic methods. The data have to do with risk factors predicting functioning in multiple domains (multiple IVs, multiple DVs). All variables are ...
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14 views

How to test model where variable moderates relationship via a mediating variable? (in lavaan)

Say you have variables X, Y, Z, and W. I hypothesize that X impacts Y and this relationship is moderated by Z. Moreover, W impacts Z. Therefore, W moderates the relationship between X and Y via its ...

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