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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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Fixed weights to 1 in confirmatory factor analysis - how significance (p) value is obtained?

I have a question somewhat related to this thread. I now understand why the value of 1 should be fixed in the confirmatory analysis to one of paths, and I also understand that various tricks can be ...
kwadratens's user avatar
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Negative covariance matrix in RI CLPM (lavaan)

I am currently struggling to solve the problem of negative covariance regarding the latent variables with respect to the random intercepts in my RI CLPM model, which I calculate via lavaan. Here is my ...
JamesCraemer's user avatar
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Lavaan Estimator

I did a three-wave study with repeated measured for each wave.I have two questions: I am doing a CFA for a configural model (testing temporal invariance for each variable of my model at 3 points in ...
Madisca's user avatar
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1 answer
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Residual variance in SEM

In structural equation modeling, in a path diagram, the sum of the squares of the estimates (when in standardized units), and the residual variance should sum to 1. (As in here) Consider the plot ...
Sam's user avatar
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Direction of Effects Switching Between Multiverse Analysis and SEM

I'm running an analysis looking at macro-predictors of some different processes. Because the macro predictors (higher levels stuff like average years of education, labor force participation, GDP, etc.)...
savethebees6896's user avatar
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When the direction of causation can plausiblely run in either direction, is there a good stat approach to distinguishing relative strength?

I am interested in an instance where it is plausible that ideology influences economic outcome, and also that economic outcomes influence ideology. Assuming that I have good and relavent measures of ...
andrewH's user avatar
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2 votes
1 answer
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Queries on structural equation model

Can the outcome / dependent variable be made of only one or two items? Can I merge different scale items say a 5 point & a 7 point likert into a single latent construct? Also I have a behavioral ...
Leadership excellence 's user avatar
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Should I use raw score or z-score for CFA?

I am running confirmatory factor analyses and my variables have different scales. I wonder whether I should use raw score and report factor loadings of std.all ...
user21531215's user avatar
1 vote
1 answer
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Handling Composite Variables in Latent Class Analysis

I am working with secondary survey data that includes 13 dichotomous variables. According to my theoretical model, I need to group these variables into composite variables. However, I understand that ...
Irina's user avatar
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1 vote
1 answer
56 views

Hypothesis Test Finite Sample Spatial Gaussian Mixture Model

I have $n$ observations of pairs $(x, y)$ and three different models I would like to compare. Model0 is nested within Model1. Model0 is also nested within Model2. I would like to do hypothesis ...
A Friendly Fish's user avatar
4 votes
1 answer
84 views

What if path c’ has a negative coefficient, but X - > Y share a moderate to high Spearman correlation?

I am running a mediation model including the variables $X$, $M$, and $Y$. The Spearman correlation between $X$ and $Y$ is +0.4, while the direct path ...
Philipp's user avatar
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Measurement invariance across groups and time

I want to run a multi-group longitudinal model. Based on prior invariance testing, I can assume scalar invariance across groups and time. So is it appropriate to have both the same intercepts across ...
JoMo's user avatar
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multiple Mediated moderation

I am trying to determine if this model represents mediated moderation or moderated mediation and why. I have attached a visual representation of the path diagram for $Y_1=\beta_0 +\beta_{X1}X_1+\beta_{...
JewJitsu11B's user avatar
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Specific indirect effects of a non-recursive SEM in lavaan

The structural equation model I am currently analyzing includes an indirect loop and I was unable to find a straightforward way to calculate specific indirect effects for it. A minimal example of a ...
mart109's user avatar
4 votes
1 answer
170 views

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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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
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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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3 votes
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
232 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
42 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
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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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2 votes
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
2 votes
0 answers
63 views

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
36 views

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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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
117 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
28 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 vote
1 answer
20 views

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
57 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
44 views

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
54 views

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
19 views

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
31 views

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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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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23 views

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
139 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
161 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
14 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
  • 309
0 votes
1 answer
70 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
278 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
31 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
44 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
615 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
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2 votes
1 answer
93 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
3 votes
1 answer
37 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
  • 315
2 votes
1 answer
82 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
149 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 ...
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