Questions tagged [lavaan]
`lavaan` is the LAtent VAriable ANalysis package in R used for structural equation modeling
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4 views
lavaan: Correlation between each pair of variables [on hold]
I have several variables, say X1 to Xn, and I want to include correlation between each pair of them in my SEM (I use ...
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12 views
factor scores from CFA in lavaan
I have the covariance matrix and an already fitted lavaan object (and/or model) using the cov matrix. But, I do not have the raw data. Is there a way I can calculate the factor scores?
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12 views
Multilevel Path-Analysis using lavaan
I am currently trying to estimate an indirect effect in a multilevel model. My data is structured like this:
Participants had to rate an object 4 times. The manipulation was the complexity and ...
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1answer
24 views
Path Analysis with multiple mediators and predictors
I recently started studying SEMs and path analysis in particular to analyze a data set. I have the following model, and I want to make sure I specified it correctly with ...
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14 views
How to estimate a measurement model (CFA) with both latent and observed variables affecting measurements in lavaan?
I'd like to estimate a CFA model where measures are determined by both latent variables and other observed variables. I can do this by creating place-holding latent variables for the observed ...
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1answer
29 views
how can I perform confirmatory factor analysis when covariance matrix contains missing values?
I have dataset of test items which were administered in blocks. As a result, not all students answered each test item and there are some pairs of items for which no observations are shared, ...
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1answer
11 views
how to use lavaan for multiple regression mediation
I am using Lavaan for mediation as it is very easy to customize your work
but i am confused about indirect effect and total effect in case of multiple regression
Example:
...
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34 views
Variance components model: proportions of within and between variance are off?
I was hoping someone could help me see what I'm obviously missing here.
I simulated some clustered data and, in the sense of a variance component model, wanted to take a look at the variances of the ...
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19 views
Do I report the pvalue of the standardized or unstandardized factor loading in CFA/SEM?
Using lavaan, for a simple CFA or SEM with measurement tools, you can use parameterEstimates(fit, standardized=TRUE) to get the standardized factor loadings for the ...
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35 views
Longitudinal CFA/SEM with autocorrelated/autoregressed indicators (in R, better with lavaan)
The problem is, I am trying to fit a multilevel factor model to highly autocorrelated (in fact, autoregressive) indicators. More specifically, I have multiple measurements (60-70) per person (5-10 ...
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190 views
Latent variable interaction: different number of indicators 4 vs 1
I am trying to calculate a latent variable interaction using the unconstrained product indicator approach (Marsh 2004) with double centering (Lin et al. 2010).
My data: two latent predictor ...
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36 views
Why item discriminations are missing in IRT GRM, estimated as a part of the Structural Equation Model? [closed]
I have run a Structural Equation Model that has four latent constructs (FI, SC, EM and RB) in R. All of the factors are continuous. Meanwhile, indicators are all ordered categorical variables measured ...
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1answer
30 views
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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10 views
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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1answer
42 views
Disagreement between p-values and bias corrected CI in path analysis
I am conducting a path analysis that include estimation of indirect effects (i.e. mediation). For each indirect effect specified in the model (a1*b1), I have both a p-value and a 95% boostrapped CI.
...
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78 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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17 views
Linear Regression Perfectly Predicts Latent Variables
I'm having trouble understanding the relationship between the latent variables produced by the CFA function in R's Lavaan package, and linear regression.
I have used one of Lavaan's built-in data ...
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1answer
32 views
How do I specify a lavaan sem model with more than one single-indicator factor?
I am trying to specify a lavaan CFA that has some factors with three or more indicators, one factor with two indicators, and two factors with one indicator. For the single indicator factors, I tried ...
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1answer
73 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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8 views
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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36 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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29 views
Lavaan LavPredict when samples have 0 variance
I am using Lavaan to perform a Confirmatory Factor Analysis on a dataset of 10,000 League of Legends games. The features of the dataset are certain variables of the games like kills, deaths, gold ...
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1answer
46 views
Evaluating measurement invariance with lavaan and ordered data
I am running a measurement invariance in lavaan in R. I am comparing a measure of sociocultural appearance pressures across White and Black women. Because this is a 5-point scale, I am treating the ...
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15 views
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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17 views
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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35 views
Reasons for markedly different results using MLR vs. WLSMV in CFA?
A scale I examined has a 6-point likert scale and detailed anchor points. In addition, the items are distributed skew. I did a CFA with MLR as well as with WLSMV. With WLSMV as estimator, the scale ...
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69 views
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26 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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1answer
28 views
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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132 views
How to compare non-nested models (with different number of items) in CFA?
I investigate the factor structur of an existing scale in a data set with N = 714 (using lavaan, R). In this context I would like to compare to alternative models:
Model 1: Two factors with 5 items ...
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1answer
127 views
Constraining latent variance of the slope across groups in lavaan
lavaan provides a function for measuring measurement invariance (measurementInvariance()). However, let's say that I want to ...
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1answer
79 views
Interpreting effect sizes in cross-lagged -auto-regressive models
I am running an auto-regressive, cross-lagged panel model between three variables (individual survey responses) to understand the over-time dynamics between them. But I am trying to make sure I ...
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1answer
121 views
CFA lavaan - reasons for bad fit?
I investigate the psychometric properties of an existing scale in a data set with N = 714. The structure originally assumed by the authors is the following, from which different index scores (...
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59 views
Problem with assessing bidirectional effects
My dataset has four endogenous variables, namely, employment (emp), addiction (addict), depression (...
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1answer
65 views
Understanding the non-identifiability and handling of categorical variables in SEM
I have three questions about SEM and I'll ask the questions using an example that I have been working with. The dataset has employment (emp), addiction (...
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1answer
30 views
Problems evaluating whether there are structural group differences in my path analysis model
I want to evaluate if I there are structural group differences (two groups) in my path analysis model. I compared the models with and without allowing group differences (lavaan:: sem(..., group =)):
...
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245 views
Mediation: Significant indirect effect, but total effect nonsignificant, no inconsistent mediation
I conducted a mediation analysis via lavaan. For estimating all effects, I used 10,000 bootstraps.
I have problems interpeting my results.
Path a is negative and significant.
Path b is positive ...
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0answers
32 views
Double Mediation?
can anyone help me with what this R (package lavaan) syntax? I got a question: Is it correct that a kind of nested multiple mediation is tested with this code (X = "predictor", XM1 = "predictor 2" in "...
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77 views
Warning message when cluster-argument is included in lavaan .06-2
I have a sample of 529 people who are in 50 clusters. I'm not interested in any multilevel question but I would like to get cluster-robust standard errors for my SEM. Therefore, I included the cluster-...
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1answer
38 views
CFA Interpretation
I am trying to teach myself how to do CFA on the fly, with no formal training in statistical analysis (my first grad course on quantitative analysis is next semester).
I believe that I have figured ...
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1answer
43 views
Residual variance of a variable in Structured Equation Modeling
I am following lavaan package in R to implement SEM. I have a doubt for residual correlation equation.
http://lavaan.ugent.be/tutorial/sem.html
in general, in residual correlations equations, y1 ~~...
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1answer
27 views
Test of difference maximum likelihood parameters SEM R
I have a structural equation model implemented in R 3.4.4 using lavaan 0.6-1 and estimated on two different subgroups using a robust maximum likelihood estimator. Now I want to compare the parameters ...
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1answer
180 views
Fitting issues when including certain combination of variables with lavaan::cfa()
I am trying to fit 13 ordinal indicator variables to a single factor, but there are three of them that will result in a warning when they're included simultaneously. You can find the code below (data ...
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99 views
Higher order CFA in lavaan- weird error message about missing value
I conducted a CFA with lavaan, which worked fine.
However, when I tried to do the exact same model, only with a second higher order latent factor that is explained by all other factors, I got a very ...
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1answer
126 views
Mediation analysis with 5 Independent variables in R
I am new to the mediation analysis and i am trying to find my way...
So, I have the following dataset:
X's : 5 independent variables (D, E, F, G, H), where H is the sum of the other 4 (probably not ...
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2answers
609 views
Lavaan SEM Ordinal and Categorical variables
In my model I have dichotomous variables (gender, car ownership) and ordinal variables (Income, Employment,...). My question is whether it is possible to construct latent variables using dichotomous ...
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1answer
103 views
How to interpret the coefficients for binomial reponse variables in SEM [R, lavaan]
I am learning SEM using the lavaan package in R.
One of the response variables is binomial data (whether or not a participant answered the question accurately), ...
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0answers
19 views
Added variables to my path analysis model are significant predictors but model fit is worse?
I want to test if there are additional moderation effects to my existing model. The moderation effects (variables are centered) are significant, but the model fit gets significantly worse (lavaan). ...
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27 views
Multiple dimension scale development - validation using SEM
I'm developing a scale for measuring customer experience. Based on the principal component analysis I established that it has three components (11 items). Now I need to validate it by relating it to ...
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1answer
116 views
Improve fit index -mediation-path analysis and control for variables
I have conducted multiple mediation analysis (3 predictors+1control +3 mediators+1outcome)(all observed variables) using R-lavaan.
My full model, has bad RMSEA while the CFI seem ok (see outcome ...
