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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.

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How to get standardized coefficients of Monte Carlo method for indirect effects in lavaan/semTools?

I've run a path analysis using semTools. I'm interested to test indirect effects. I would like to report the results based on Monte Carlo confidence interval. However, the code ...
Dale's user avatar
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3 answers
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P values non-significant but Monte Carlo confidence interval does not contain zero for indirect effects

I've run a path analysis using semTools. I'm interested to test indirect effects. The p values for all indirect effects were non-significant, but the Monte Carlo confidence interval for some of them ...
Dale's user avatar
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4 votes
1 answer
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Standardized or unstandardized coefficients to report? The covariances and regression of a multivariate latent growth model

I am currently running a second-order latent growth curve with multiple constructs. This multivariate latent growth curve demonstrates how two (or more) constructs travel together across time. My ...
EmH's user avatar
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1 answer
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Cross-lagged panel analysis many variables

I'm planning an analysis to look at individual coping strategies, specifically what predicts well-being at follow-up (or vice versa). I think cross-lagged panel analysis might be the best approach so ...
Stats begginer 's user avatar
2 votes
1 answer
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Autoregressive cross-lagged models

I'm working on a research project with an autoregressive cross-lagged model with two measures three time points. The paths from $t_1$ to $t_2$ were significant, but $t_2$ to $t_3$ were all not ...
Mike's user avatar
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1 answer
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Question regrding path analysis structure/variable representation?

I am trying to do a path analysis to evaluate the effects of a seeding treatment (5 different species) on different types of ground cover (native, non-native, and seeded species), which in turn, has ...
elduderino260's user avatar
9 votes
2 answers
212 views

How to Simulate Data for a SEM Model with Moderation Effect Using R?

I'm working on a project where I need to simulate data for a Structural Equation Model (SEM) that includes a moderation effect. Specifically, I have three latent variables: an independent variable (IV)...
Iman's user avatar
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1 answer
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How to analyze between-group differences in within-group variances over time in a 3-level model?

The data I am using is collected within the physical fitness surveillance program in schools. In these schools, either no intervention, healthy lifestyle intervention, healthy schools network ...
Antonio Martinko's user avatar
4 votes
1 answer
32 views

Measurement invariance and latent mean comparison between 3 groups

I performed an Exploratory Factor Analysis (EFA) followed by a Confirmatory Factor Analysis (CFA) in R, successfully assessing the model fit using indices such as TLI, CFI, RMSEA for a two-factor ...
DavidP's user avatar
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2 votes
1 answer
31 views

Nonlinear indirect effect in lavaan & semTools

I would like to use semTools to examine several indirect effects. However, some predictors have nonlinear relationships (i.e., quadratic) with the mediators, but I found very little information online ...
Dale's user avatar
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1 answer
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Indirect effect present in separate models but disappears in full mediation analysis

I am wrote my thesis and looking forward to defending it. So my question is about indirect effects through a mediator. I have the following situation: $X$ (parental involvement in education) doesn't ...
Viktorija Urmanavičiūtė's user avatar
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A few paths in path analysis violated linearity assumption, but other paths met the linearity assumption

I'm running a path analysis of serial mediation. Upon checking the linearity assumption, I found that a few paths do NOT have linear relationships, as indicated by rainbow tests and crPlots. However, ...
Dale's user avatar
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3 votes
1 answer
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Is there a way to create a SEM from multiple datasets?

I have two datasets of information on a certain plant species, for which I would like to check if they are correlated. One dataset is of visitor (pollinator) frequencies to a plant species along an ...
Dominik Anyz's user avatar
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0 answers
18 views

Should I expect statistical analytical problems in this PLS-SEM structure?

Dear all great statisticians ... I am a doctoral student and my conceptual framework contains five variables. Among these variables are a mediator and a moderator. I am not sure of the validity of ...
Eyad Al-Samman's user avatar
4 votes
1 answer
90 views

Instrumental variable with measurement error

I have a question related to measurement error bias and the use of instrumental variables. Assume I have a continuous outcome variable $Y$ which is observed with no error and an endogenous (continuous)...
Panagiotis's user avatar
2 votes
0 answers
25 views

RI-CLPM - do we need to restrict residual variances of factors to 0?

I am currently exploring Random Intercept Cross-Lagged Panel Models (Hamaker, 2015) using the lavaan code provided in this website https://jeroendmulder.github.io/...
ckl's user avatar
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1 answer
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Interpreting Mediation Model Result

I am testing a mediation model using SEM via Lavaan package in R and found that there is significant relationship between mediator variable and dependent variable. For example: ...
ros's user avatar
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3 votes
1 answer
50 views

How to fit random slope hierarchical model as SEM with OpenMx in R?

I've been exploring the OpenMx Package in R in hopes to fit multilevel path analysis and I can't figure out how to add random slope. This is the model I am trying to fit: $$ Y_{ij} = \beta_{0j} + \...
Vefeagins's user avatar
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1 vote
0 answers
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CFA Measurement Invariance - can weak invariance be significant with the configural but not strong invariance? [closed]

I am a newbie here. I searched through the forum but did not find similar questions, so I hope someone who is proficient with SEM / lavaan can help out. I am using R lavaan and semTools to perform ...
zstats's user avatar
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5 votes
1 answer
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How to translate hierarchical linear model random effects into SEM path diagram?

I've been struggling with translating random slope and intercept and random variables and understanding them as latent variables in the pursuit of path models. For example here is a random slope and ...
Vefeagins's user avatar
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2 votes
0 answers
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Implementing a SEM with lasso regression [closed]

I have the following structural equation model (SEM) structure in mind: In reality there are more than 3,2, resp. 3 variables, so I want to use lasso regression for the arrows. Is it possible to ...
Hendrik's user avatar
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1 vote
1 answer
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What does it mean when a CFA model improves drastically by ommiting a factor?

I am trying to fit a CFA model with four factors (say F1 with 4 indicators, F2 with 6 indicators, F3 with 3 indicators and F4 with 5 indicators) in Amos. Each indicator is computed by summation of ...
M. Er's user avatar
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0 votes
0 answers
13 views

Unpaarametered Mediation paths SEM with same degree of freedom comparison

I am modelling multilevel mediation paths for my data. The idea is that a1,a2,b1, b2, c1, c2,d1,d2 all contribute to outcome variable y, and b-level, c-level, and d-level variables also affect y ...
Courtney's user avatar
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0 answers
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Proportion mediated possible for Binary outcome, Continuous mediator?

I am running a mediation analysis on a categorical X (race/ethnicity), binary Y (disease status), and ordinal M (can be any integer 0 - 10). N-controls = 1321. Ncases = 384. I conducted this analysis ...
Kris's user avatar
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5 votes
1 answer
130 views

SEM with 50% missing data (due to distribution of items over various survey ballots/waves)

I want to test a multilevel mediation (particularly, test a number of hypotheses about possible mediators of the effect of social class on Right-Wing Authoritarianism) using largely categorical ...
ThomasV's user avatar
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6 votes
1 answer
157 views

Stable violation of faithfulness

Faithfulness is often justified by the argument that any violations of it require very specific "fine-tuned" parameters (for some appropriate SCMs/SEMs/SFMs), and that such violations are ...
Just_a_fool's user avatar
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0 answers
11 views

Reporting results for time-invariant predictors in latent growth curve models

I am results for reporting a time invariant predictor of the intercept and slope factors within a latent growth model, adjusted for covariates such as age and sex. My dependent variables and ...
Aepkr's user avatar
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0 votes
1 answer
58 views

Comparing regression coefficients across non-nested SEM models (Lavaan)

I had question about SEM in Lavaan which I cannot seem to get a grip on through any google forums or my old lecture slides... I wish to explain cognition using several variables (CR1/CR2, which stand ...
SEMdummy's user avatar
7 votes
1 answer
273 views

What sample size should be reported when using pairwise deletion approach with WLSMV?

I have a question regarding reporting the sample size in an article. The situation is a bit complex, so please allow me to explain below: I collected data from participants via an online survey. ...
İpek Gülsün's user avatar
1 vote
1 answer
24 views

Mediation: only c path and b path are significant?

I have done a mediation analysis in which nature contact is the independent variable, worrying is the mediator and depressive symptoms the dependent variable. I performed a mediation via PROCESS. The ...
MAG Weimans's user avatar
0 votes
1 answer
41 views

Structural equation modeling identification question

Could someone please assist me in identifying whether my model is underidentified, just identified, or overidentified based on the post-estimation results of my Structural Equation Modeling? I have 16 ...
Jannatul Naim's user avatar
7 votes
3 answers
612 views

How to analyze a dichotomous outcome with 50% missing data?

I am researching predictors of dropout from a training program. I want so to see if personality traits add incremental variance above well-established predictors like age, fitness, and education. So, ...
E_H's user avatar
  • 341
2 votes
1 answer
71 views

moderated mediation vs mediated moderation

I am looking for a detailed explanation of moderated mediation and mediated moderation. My basic understanding is that in moderated mediation, we have a classical mediation model with the addition of ...
Robert Long's user avatar
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3 votes
1 answer
35 views

How do I interpret a second-order multi-variate growth model?

I am running a multi-variate second order growth model. I have two factors, which are conceptually related to each other measured on 7 different occasions. Wanting to know how the two factors ...
EmH's user avatar
  • 185
2 votes
1 answer
81 views

Getting an equivalent of R-squared for simple univariate regression done with structural equation modeling

I need to calculate a very simple regression model outcome ~ predictor. To treat missings, I have to use FIML and also I need bootstrapping. Since the ...
Madamadam's user avatar
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1 vote
1 answer
115 views

Question- How to read the CFA results using the ordered statement in Lavaan package for ordinal data?

I am using the ordered statement in my CFA model when running lavaan in R, but I couldn't figure out how to read the results. I ...
user avatar
4 votes
1 answer
92 views

Is multivariate normality assumption found in the estimation process for Path Analysis?

I have read that in path analysis that assumptions are similar to assumptions of multiple regression Streiner,(2005) Columbia Path Analysis Particularly around normality of only the dependent/...
Vefeagins's user avatar
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1 vote
0 answers
21 views

Modeling Wildlife Survey Data with Conditional Outcomes

I'm working on a project involving surveying for an invasive species which is removed upon encounter. When an individual is encountered, morphometrics are collected (e.g., size and sex). I'm ...
Alex Romer's user avatar
0 votes
0 answers
26 views

How can I compute a counterfactual query for discrete binary variables?

In computing counterfactual queries for structural causal models (SCMs), J. Pearl says to go through 3 steps. Abduction Action Prediction In his book, Causal Inference in Statistics, he shows how to ...
Jane Wayne's user avatar
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1 vote
1 answer
34 views

SEM: Robust estimation in Onyx

Does anyone know if there is a possibility for robust estimation (e. g. Yuan-Bentler or Satorra-Bentler) in Onyx, because the normal distribution assumption is not given? I only see the options ...
anonymoususer's user avatar
2 votes
2 answers
95 views

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 ...
anonymoususer's user avatar
2 votes
0 answers
36 views

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 ...
Vefeagins's user avatar
  • 538
1 vote
1 answer
100 views

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 ...
anonymoususer's user avatar
3 votes
2 answers
181 views

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
1 vote
1 answer
69 views

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 ...
JuanJMV's user avatar
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3 votes
0 answers
56 views

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
2 votes
1 answer
73 views

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
0 votes
0 answers
31 views

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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1 vote
0 answers
17 views

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 ...
Madamadam's user avatar
  • 247
0 votes
0 answers
104 views

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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