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Questions tagged [sem]

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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Help moving forward after modIndices() in lavaan

I’m running a model in SEM using lavaan. I’ve really run into a puzzle I can’t quite seem to solve and I would love to tap into everyone’s expertise to help provide some direction. Below I’ve added ...
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How does explained variance in within level variables influence across-level-relations in multilevel SEMs?

Firstofall: I am sorry I cannot provide a minimal example code. I am trying my best to generalize the problem, but yet I just couldn't recreate it with dummy data. I try to provide any information ...
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34 views

Item response theory for continuous variables, and estimating standard error of measurement

I really like how traditional item response theory (IRT) packages tell you the standard error of measurement conditional on one's ability level, and from that, you can calculate the test information ...
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Question of Degrees of freedom negative in SEM [on hold]

I have a "F_A_T_A_L E_R_R_O_R: Degrees of freedom is negative.", what can be the solution?
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Modelling latent variables: lavaan warning: covariance matrix of latent variables is not positive definite

I have 3 independent variables (linguistic, onk2_sc3 and dsk2_sc3) and one dependent variable (Reading) in SEM multigroups (3 groups) comparison: ...
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16 views

Interpretation and formulation of SEM path coefficients?

Trying to interpret and write down my SEM results, but not sure if this is 1. correct and 2. well formulated. This is what my models and parameters look like (first unstandardized, then standardized): ...
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33 views

including dummy variable in SEM

Let us consider a regression model $y_i = \alpha+\beta x_i + \gamma d_i + u_i$ where $y_i$ and $x_i$ are scalar continuous variables and $d_i$ is a dummy variable that takes 0 or 1. (this is just a ...
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8 views

Predictive value of a predictor - model choice

I have been stuck on this for a while. I am supposed to find the "predictive value" of a predictor - entrance exam score. Together with the entrance exam score also grades from the first semester are ...
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SEM Diagram and Measurement Invariance

Vandenberg & Lance (2000) explain that measurement invariance in SEM is important because the variance-covariance matrix of a group, $\Sigma$, and item scores, $X$, can be decomposed, such that $$...
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30 views

How to check SEM assumptions?

This question is related to SEMs that include latent variables e those that not include in lavaan package. SEM assumes normality/multivariate normality, but it is being very difficult to found a way ...
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19 views

Interpreting the latent growth model output

I started to go through this interesting structural equation model called latent growth curve model. When i go through some research articles that involved latent growth curve models, I found this ...
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26 views

Why does my SEM ('lavaan') return covariance estimates for all pairwise variable combinations that were not specified in the model?

I specified the following model for SEM analysis using the 'lavaan' package in R. I want to specify a covariance between two observed variables (livestock and human occupancy). This is the only ...
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How to Determine Appropriate Values for Correlated Uniqueness in SEM Simulation?

I am trying to run a simulation of power/bias for a particular SEM, in which a number of correlated uniquenesses will need to be specified. I know how to determine the appropriate values of the ...
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Creating a weighted composite score from standardized lavaan latent beta weights that retains the scale of the original measures?

I did a latent factor analysis in Lavaan which had a good fit and gave me the following estimates of standardized beta weights for three latent variables called Eta1, Eta2, and Eta3. ...
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31 views

Acceptable CFI but poor TLI

I'm working on a path analysis using lavaan in R. Here is my model fit result: Chi square: >.05 Confirmatory Fit Index (CFI): 0.94 Tucker Lewis Index (TLI): 0.86 Root Mean Square Error of ...
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32 views

How exactly do I calculate the power in my SEM?

I am trying to calculate the power in my SEM analysis post-hoc. How exactly should I do this? What is the power for the R-squared result of IT-T2 and IT-T3? Background info: Sample size is 255. IT ...
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Is it appropriate/possible for me to use PLS regression for my problem?

Im currently writing a dissertation on the effect of cultural dimensions on technology acceptance. In order to collect data I have used a questionnaire with questions relating to technology acceptance,...
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26 views

Structural Equation Models: Tracing rule for error terms

Below is a graph together with my best guess for the system of equations resulting from (Wright’s) path decomposition underlying SEM. $cov_{obs}$ is the observed/sample covariance and $\beta$ and $\...
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When we test for factor invariance, does imbalance among groups affect fit indices?

My question is similar to this one: unequal group sizes in a multi-group CFA but applied to Explorative Structural Equation Model (ESEM) instead of CFA. In short: may group imbalance be a problem ...
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How to match different samples with different tests in a structural equations model? SPSS / AMOS

I am working on a study on hotels that analyzes the possible influence of the labor sastifacción (MSQ, 20 questions scale 1 to 5) in customer satisfaction (scale 1 to 5, questions that evaluate ...
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Estimating direct and total effects in path model (mediation)

I am testing mediation effects in this path model. How should I define the (1) direct and (2) total effects in this model? Is the below correct? (1) Direct= c1*c2 (2) Total= (c1*c2)+a1*d21*b2
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Path analysis with two mediators and reciprocal causation

I am trying to fit a path analysis which predicts a participant's binary choice of either a safe or a risky option. I am using a 2x2 design which includes multiple mediators. My big question is how to ...
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Mimic model in panel data

I'm working on my PHD, and i have panel data for diseases (i) and time(t), i want to apply mimic model ( multiple indicator multiple cause model) on these data . 1- is it possible to apply random ...
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Testing parameter significance vs model fit

In one of our studies we test a mediation hypothesis in a longitudinal (it's actually panel data) study with 4 measurement waves. We test a setup similar to one outlined by Cole & Maxwell (2003) ...
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Analysing panel data - looking for hypothesized mediation and moderation effects

Good afternoon, I'd like to ask you for some help in finding a (hopefully citable) way of analyzing panel data when looking for mediation and moderation effects. Problem I have is that my measured ...
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Are direct effects between latent variable indicators ever appropriate?

I have a longitudinal structural model regressing 1 endogenous latent variable at Time 2 on 4 exogenous latent variables at Time 1. The modification indices in Mplus suggest including a direct effect ...
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Interpretation of Sequential (Serial) Mediation Effect (vs. Cross-lagged panel model)

I would like some clarification on the interpretation of the significant indirect effect involving "d21", when the two mediators (M1, M2) are the same constructs measured at two consecutive time ...
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39 views

Binary dependent variable sem [closed]

I need to test a framework and I was planing to apply SEM. My dependent variable is binary, as most of the explanatory (some are also categorical, and few continuous). Witch package/tool do you ...
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53 views

lavaan WARNING: model has NOT converged

I'm runing a mediational Path analysis as below. ...
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15 views

Power calculation for TSSEM or Meta-analytic SEM

I am wondering about power calculations for Cheung's metaSEM/TTSEM. I assume Stage 2 SEM is where having too few studies/small sample sizes becomes problematic. Is there a way to run an a priori ...
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23 views

What type of transformation for Latent Growth Curve analysis with lavaan when observed variances are over 40,000,000?

Edit: I believe a linear transformation is just fine - divide each number by 100 for example. Just make sure you change back your units when you are interpreting the output! In fact, when I do this, ...
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14 views

When to fix covariances between latent factors in SEM?

I am trying to run a three-factor model. When I do not fixed any of the covariances between these variables, I get an error message saying the model is probably unidentified. When I fix one of the ...
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2answers
29 views

Latent class analysis and membership function

I'm running a latent class (profile) analysis, and there is still a thing not clear to me. What happens when I don't include the constant in the membership function? Is the interpretation different? ...
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Path analysis of latent variable relationships over time for hypothesis testing

Consider that I have a sample of 30 people (my real data are much bigger), and we ask them how often the would like to eat three types of food (candy, vegetables, and meat) at four points in their ...
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Interpreting Structural Equation Model Estimates?

I am hoping someone can clarify how parameter estimates for structural equation models (SEM) are usually interpreted in practice. By that I mean, suppose we have an SEM of the form $$ y = \mu + \...
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58 views

Longitudinal Mediation with Inverse-Probabilty Weighting / Marginal Structural Model

Validater, I am currently trying to investigate how mediation analysis can be applied with longitudinal data. I already considered some Structural Equation Models (SEM), e.g. the 3-Wave example of ...
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Why correlations are different when they are calculated from latent variables (CFA), than when they are calculated from composite scores?

When I am doing a statistical analysis, first I take the measures of each of the constructs I am measuring and I create an average score. With these averages, I calculate the correlation between ...
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Correlation above 1 between second-order and first-order latent variable [closed]

So I ran CFA on an exhaustion measure comprising of three facets which were specified as first-order latent variables. When I added a secon-order latent variable to the model the correlation between ...
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1answer
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Help in understanding how we arrive at 'reduced form equations'

Referring to equations 1 and 2 above, I understand that the object is to estimate the endogenous variables (consumption (c) and income(y)) as a function of the exogenous or predetermined variables. ...
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SURE is the best instrument for the analysis of simultaneous equation model?

I would want to make a study about the influence of some regressors in the evaluation of the effects of increment of subsidy in an economic sector. I would use SURE (Seemingly UnRelated Equations ...
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1answer
22 views

Regressing a response on predictors at a lower level of aggregation: combined election and survey data

Combining two secondary datasets, we are interested in finding out the effect of political outcome variables (e.g. mayor's party and percentage of vote) at a low administrative level (e.g. township) ...
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1answer
21 views

Validating A Model On Pre-Test Post-Test Design

I am phd candidate at primary education department. My aim is to validate a model but i have not find a exact answer yet. I have 2 groups. (Actually 4 but only 2 of them are going to use to validate ...
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45 views

How to run a SEM mediation test with common method bias

Say the model I am working with is simply: M <- IV DV <- IV + M All three constructs are obtained using the same survey, hence the common method bias ...
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1answer
28 views

Specifying a null model for path analysis [closed]

I'm struggling with the final step (or technically what should have been the first step?) of making a null model. In the article, the authors state that the null represents a situation where none of ...
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58 views

Analysis by SEM in variables with different Likert scale

I have a questionnaire that measures two variables. The first variable is measured with 5-point Likert But second variable is measured by questions with 5 and 3 point Likert and dichotomous (YES, NO). ...
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1answer
86 views

AMOS: Model is unidentified requires 26 additional constraints! How to fix? [closed]

After running model on AMOS I am not getting any output path and this note appears in the text output: "The model is probably unidentified. In order to achieve identifiability, it will probably be ...
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49 views

Multilevel Mediation Analysis (2-1-1-2 mediation) in R

I aim to perform a 2-1-1-2 mediation analysis with Trait A being the IV, Trait B being the DV (both on Level 2) and both State A and State B being two Level-1 mediators. I assume the Level-1-mediators ...
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1answer
52 views

Poisson adaptation of IRT model: how to interpret parameters?

For my work I made an assessment in which users have to stack blocks in a certain configuration in as few steps as possible. If the user does this in the minimally required number of steps, they get ...
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1answer
57 views

RMSEA confidence interval interpretation

Using Amos for a multi-group path analysis, my model of choice, the "measurement weights" model has an RMSEA value of .033 a LO value of .000, a Hi value of .065, and PCLOSE value of .784. Is it an ...
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22 views

Identification and estimation of my structural model with a latent variable

I am having some trouble trying to identify the parameters in the following structural model that I am trying to estimate. $$ y = a'x_1 + \beta\eta + \epsilon_1 $$ $$ \eta = b'x_2 + \delta T+\...