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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Large sample size and multivariate normality assumption

I am working on a student research project using structural equation models for longitudinal analyses and am currently checking the assumptions. My sample comprises around 300-400 people. If I have ...
Freiheit's user avatar
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Why does lavaan in SEM do a z test instead of t test for beta?

I've been learning about SEM and I was curious why lavaan uses the z test for testing a beta? I was reading here https://tdjorgensen.github.io/SEM-in-Ed-compendium/ch2.html that it was because ...
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Multivariate normality assumption of SEMs

I am calculating structural equation models as part of my thesis and am currently in the process of checking the assumptions. One assumption is multivariate normal distribution. This applies to all ...
Freiheit's user avatar
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multi-group growth model_Lavaan [closed]

I'm a PhD student and this is my first time working with R. I'm assessing my participants' employability after taking part in an intervention. The employability scale consists of 28 items grouped in 4 ...
PhdStudent's user avatar
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Item Aggregation Methods in CFA

I've been trying to find any references which have discussed the legitimacy of any item aggregation methods prior to conducting CFA, but I'm coming up short. Here's my context: Large survey with 6 ...
Peter Wesley Odom's user avatar
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Moderation and Mediation model

I am trying to fit a moderation mediation model (please see the figure) So I have a clasic mediation model and a moderator for the association between the mediator and the outcome. I want to fit this ...
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I get very different and inconsistent model fit indices and test statistics every time I run the cfa.mi models with the same imputed categorical data

I am trying to test the measurement invariance in my one-latent-factor model. I have 24 questions coded "correct" and "incorrect" and 3 different groups in my data. The sample ...
Enes Bayrakoglu's user avatar
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models MIMIC, predicted probabilities?

I am investigating MIMIC (Multiple Indicators Multiple Causes) models since with them I can do regressions, including factors (made up of several items), and the observed variables (glycemia, ...
Fernando VAzquez's user avatar
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Linear Mixed Models or Structural Equation Modeling, which one to use?

I am currently trying to figure out whether to use LMM or SEM (or something else?) for my longitudinal mediation study (3 time points). I want to investigate the effects mentioned below, and I am ...
Laura's user avatar
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Assumptions to be met for a contrast test of mean against zero

When doing a contrast test (see R code below) or it's rather unusual regression style equivalent, both of which are basically a t-test, what assumptions have to be ...
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Moderation with a latent variable in AMOS

I am trying to create an AMOS SEM model between Childhood Traumas (CT) and Borderline Personality Disorder (BDL), and the Behavioral İnhibition System (BİS) will be ...
fromdreams's user avatar
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Comparing path analysis models: mediation vs. (residual) covariance

I am using lavaan to run path analysis to predict PC from WA and LC. These are multi-group models. Described here is the first step (identifying best-fitting paths); it is followed by constraining ...
Jeanne Sinclair's user avatar
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Bad model fit for a second-order growth curve with time-varying covariates. Do I have to find a way out or will it depend on the aim of the analysis?

I am running a second-order latent growth curve model with seven repeated measures. I have 2 time-invariant covariates (TIC, country and sex) and 2 time-varying covariates (TVC, both are latent ...
EmH's user avatar
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Can I covary exogenous and endogenous latent variables in SEM in lavaan

I am editing the question as it was too meandering. I am sorry about that. I am running an extended Theory of planned behavior (TPB) model of digital piracy and I have a question that boils down to - ...
Miljan's user avatar
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Multi-group structural equation model (SEM) with compositiona exposure variable

I am comparing (between countries) how housing conditions mediate the relationship between working conditions and health. Variables are: Work (Exposure = E), living conditions (Mediator = M) and ...
Jules's user avatar
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Can we use multiple ordinal endogeneous variables in SEM model using lavaan?

I have three endogenous variables each measured using 5-point likert scale ranging from Strongly Agree to Strongly Disagree. I want to use SEM for my analysis using Lavaan. All the examples I have ...
ros's user avatar
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Conducting a moderated multilevel mediation with more than two levels in R

I'm trying to conduct a moderated multilevel mediation model in R, but I'm still a pretty junior graduate student and I've only ever done mediation with lavaan. My outcome variable is cortisol, for ...
calexico's user avatar
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Seeking References for Mediation and SEM Best Practices

Preamble Recently, a colleague approached me with a dataset$^1$ that they wanted to use to compare several competing mediation models using structural equation modeling (SEM). The models are simple, e....
Preston Botter's user avatar
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One population, two variables, two timepoints: the proper statistical method?

I have a group of subjects (n = 29), and they've been tested for two variables at baseline and after 1 year. For the argument, let's assume these two as var_behavior and var_brain. Hypothetically, and ...
user23253590's user avatar
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SEM, path analysis without latent variables

If the mediation analysis includes only observed variables, would it be necessary to test the measurement model and conduct a CFA prior to path analyses? Are there other analyses, on top of ...
Ben's user avatar
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How to interpret my SEM output in R (1x IV; 2x Mediators; 2x DV)

I am having problems with the interpretation of my SEM results. My SEM consists of 1 IV (basic psychological need satisfaction [bpns]), 2 DV (Burnout [MBIscore] & Job Satisfaction [JobSat]) and 2 ...
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How to report the interaction effect in the paper?

I am calculating the moderation (interaction) effect of one variable on the relationship between two variables using Mplus. All of them are continuous variables. Before I calculated the interaction ...
İpek GÜLSÜN's user avatar
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p values of latent basis models

I am running a latent basis model and wondering if anyone could provide insight on how to interpret the p-values of the basis coefficients. The basis coefficients are set to 0 at T1 and 1 at T9 and ...
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Can you consult modification indices of a fixed-factor approach of longitudinal invariance to aid decision making in other scaling approaches?

I am learning how to test measurement invariance with different scaling approaches and came across a book chapter that said that modification indices of a fixed-factor approach are more trustworthy ...
naz's user avatar
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How to calculate Mardia's multivariate normality in Mplus?

I would like to assess the multivariate normality of the structural equation model (SEM) in Mplus. I have a few questions regarding this matter: How can I examine multivariate normality, specifically ...
İpek GÜLSÜN's user avatar
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What are other measures to consider when you don't have modification indices in your invariance test?

I have a question considering longitudinal invariance testing. The software I use is Mplus and I have tried three different scale application approaches; reference indicator approach, fixed factor ...
EmH's user avatar
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SEM: Normal-theory Maximum Likelihood fitting function

I took a few courses where model estimation via Maximum Likelihood in Structural Equation Modeling was discussed. There was one definition of the normal-theory ML fitting function that I also found in ...
hanna-without-h's user avatar
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Is path analysis equivalent to a series of regressions?

I've only recently encountered path analysis. Suppose I have a simple causal model like this: I'm not sure if it's needed for this q., but for simplicity let's assume X, Y, Z are multivariate normal. ...
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Am I able to split up a large SEM model into smaller SEM models?

I have a SEM model in SPSS AMOS that is testing the mediating effect of information sharing on the relationship between the three dimensions of trustworthiness (which are ability, integrity and ...
Simon's user avatar
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Response style as an alternative explanation for latent mean differences under scalar invariance?

I established scalar measurement invariance for a two-group CFA. The output from my final model showed that the latent mean in group 1 is lower than the latent mean in group 2. Can this difference in ...
user321797's user avatar
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Is it alright to place equality constraints on the items loadings for assessing configural invariance using effect coding approach?

I am wondering if somebody can help me out with the syntax to run a longitudinal invariance test using effects coding approach in Mplus. I have figured out that to run a CFA with effects coding, I ...
EmH's user avatar
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What are the mechanisms for the propagation of effects across stages in a structural model?

I have an SEM question to which I have not found an answer anywhere. I have used SEM a bit already but my difficulties with this question suggest I lack some basic understanding. Question: In a ...
Patrick A's user avatar
2 votes
1 answer
37 views

Mediation analysis with interaction effect

I am currently trying to amend a paper that I am writing in order to include the interaction effects (a4 and b4 in the spreadsheet) This results in the following sum-product $$a_1b_1 + a_2b_2 + a_3b_3 ...
Sam Levi's user avatar
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Do scale applying approaches need to be the same for longitudinal invariance testing and the subsequent growth curve model?

I have a question concerning scaling approaches in longitudinal invariance testing and a subsequent latent growth curve. That is, for example, if the invariance test was conducted with a marker ...
EmH's user avatar
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analysis of critical success factor of lean implementation to identify the influenced dimention

Clustering vs EFA which is a good tool for structural equation modeling to identify the influenced variables also to support the hypothesis?
Tsegaye Amare's user avatar
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Structural (causal) interpretation of the completeness condition

Consider two random variables $X,Y$. We say the joint distribution of $P(X,Y)$ is complete w.r.t. $X$ if the following condition holds: For all $y$, $E\{g(x)|y\}=0$ almost everywhere if and only $g(x)...
Mingzhou Liu's user avatar
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2 answers
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Can we use a likert scale of 0 to 5 for SEM analysis?

I am learning to do SEM analysis and have finished the data collection. In my questionnaire I have scales measured from $0$ to $5$ which measure emotions ($0$ = not feeling it at all to $5$ feeling it ...
Riri Rustam's user avatar
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CFA: chi-square value is 0 but with degrees of freedom

I want to do a SEM analysis with an actor-partner interdependence model in Mplus. I managed to calculate it and everything seems right if I look at the means, SD's, ...
Axenox's user avatar
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power analysis for cross-lagged panel model with random intercept using powRICLPM

I want to compute power analysis for cross-lagged panel model with random intercept using powRICLPM package (Related publication) Authors of the package did a great job and the power analysis seems to ...
David's user avatar
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MLE of multivariate normal distribution when the VCV matrix is full of equations

Short Version: Given a variance covariance matrix for my multivariate normal distribution where the entries are equations of other parameters, how do I find which of those parameter values maximizes ...
A Friendly Fish's user avatar
4 votes
1 answer
242 views

When does SEM have little to no benefit over multiple regression, and there is a distinction without a difference between two approaches?

I recently saw a case where someone fit a SEM with 20 latent variables (with many indicators each) predicting a single latent variable (of several indicators), and suggested it was evidence for some ...
JElder's user avatar
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3 votes
1 answer
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The use of p-values in tests of d-separation

In his very helpful online book on structural equation modeling, Jon Lefcheck writes the following concerning d-separation tests for SEMs: Once the model is fit, statistical independence is assessed ...
dbspon's user avatar
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3 votes
1 answer
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SEM/regression: Identify better predictor

I have data from a longitudinal study, specifically MRI data and performance on a neuropsychological test at two time points. I would like to test whether the change in gray matter in Brain Region A ...
Freiheit's user avatar
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Do you need to correlate factor residuals of factors that are measured at the same time point

I am running a second-order (multiple indicator) latent growth curve. The model has three latent factors (excluding the growth intercept and slope factors) that each have 4-5 indicators. Two of them ...
EmH's user avatar
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2 votes
1 answer
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Is there a proof of the equivalence between Cronbach's alpha and reliability calculation from a CFA?

Given a uni-dimensional CFA, reliability can be calculated as: $$ \omega = {\left(\sum_{i=1}^p \lambda_i\right)^2\over \left(\sum_{i=1}^p \lambda_i\right)^2 + \sum_{i=1}^p\sigma^2_i} $$ where $\...
Jayden Nord's user avatar
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How do different sets of restrictions in a SEM with moderation affect results?

I'm trying to run a latent moderated mediation analysis SEM with R lavaan. It is essentially "First Stage Moderation", per Edwards & Lambert (2007), with a few extra factors. I'm using ...
Chris's user avatar
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Can a wrongly specified lavaan SEM lead to huge effects?

I am trying to replicate a study that created a structural equation model (SEM) to explain effects on the intention to reduce meat consumption. The interactions of the latent variables are as follows: ...
nioco's user avatar
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3 votes
1 answer
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How to interpret standardized simple slopes and indirect effects in R with semTools and lavaan?

I am attempting to obtain a standardized solution for simple slopes and indirect effects in a SEM in R using lavaan and semTools::probe2WayMC, following the methods of Schoemann & Jorgensen (2021) ...
Chris's user avatar
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Centering variables in Lavaan - Path analysis

I hope you're doing well. I'm currently knee-deep in path analysis using the lavaan package for my research. My analysis involves moderation, and centering the variables may simplify coefficient ...
Ronald Bahamondes-Álvarez 's user avatar
2 votes
2 answers
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Test of Group Invariance with 3 Groups

Say, we have three groups and we want to run a test of group invariance with the following data. ...
thanmour's user avatar

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