Questions tagged [lavaan]
`lavaan` is the LAtent VAriable ANalysis package in R used for structural equation modeling
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1answer
14 views
Correct Estimator for Path Analysis/SEM Using Categorical Covariate
I'm currently building a path analysis model with model-based corrections for measurement error, using a latent variable structural equation model (i.e., each observed variable serves as a single ...
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1answer
32 views
Determining sample size for Structural Equation Model with R
I want to run and experiment to test the validity of a theoretical model. I have the structural and measurement model, but do not have previous data on any of the parameters. Is there a way I can find ...
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1answer
19 views
Confirmatory structural equation modelling to test predicted strengths of relationships?
I have two implicit measures (impl. attitude towards high-cal food and alcohol) and two explicit measures (high-cal food consumption and alcohol consumption). I want to confirm that my implicit ...
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1answer
28 views
SEM output with a DWLS est - non normal distributed variables: feedback, possible overfitting?
I have a sem model with non-normal distributed indicators measured with Likert-scale (7 points - agreement). I have 4 LVs and 1 observed (N=287, data collection still in progress).
As variables in my ...
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1answer
63 views
How to specify latent variables for SEM with lavaan [closed]
I would like to use lavaan for SEM. Specifically I want to use the paper: "Original Article Maximum Likelihood for Cross-lagged Panel Models with Fixed Effects", by Paul D. Allison, Richard Williams, ...
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1answer
27 views
The amount of variables used in SEM models
I would like to use lavaan for SEM. I am have however struggling to get things running (I went through al the examples, but they always deal with these perfect datasets). The only thing that has ...
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1answer
29 views
Measurement invariance using 3 items
I want to examine measurement invariance across two nationalities for a construct measured with 3 items. First one is supposed to examine the configural fit before examining more restrictive models. ...
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1answer
33 views
CFA: scaling of measured variables/indicators
I'm running a latent variable analysis with:
166 observations
21 continuous variables
using the R package lavaan
A simple run of ...
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1answer
20 views
Can I import dataset with latent variables calculated, or do I need to define them in the syntax? [closed]
Lavaan tells you that you need to define latent variables for the analyses, however, I have imported a dataset from SPSS where I already created the latent variables, as this is easier than doing it ...
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1answer
29 views
SEM: Comparing models when removing paths
I'm developing an SEM model for a study I've recently run. Essentially, I have 6 factors that are shown from previous research to predict one's performance in a specific task. My data is the ...
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0answers
16 views
Evaluating mediator effect, through SEM model selection with AIC [duplicate]
I am new to SEM and the lavaan R package, so perhaps this is a basic question.
I have social media data with three variables:
...
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27 views
How to test nomological validity with lavaan?
in my understanding, I need to test nomological validity with SEM. But what exactly should I look at in e.g. summary(fit1, standardized=TRUE, fit.measures=TRUE)?
Code for reference:
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33 views
Negative degrees of freedom in multilevel SEM
Can someone please help me understand why I have negative amount of degrees of freedom in my output? I am doing a multilevel sem in lavaan and have 1 level 2 variable and 3 level 1 variables Thanks!
<...
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40 views
Standardizing variables in lavaan (cross-lagged panel model)
I am running cross-lagged panel models with lavaan (3 time points, with and without random intercepts, as shown here https://jflournoy.github.io/2017/10/20/riclpm-lavaan-demo/ ). I noticed that when I ...
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0answers
62 views
Fix latent variable endogenous variance (NOT residual variance) in Lavaan
I am fitting some models using lavaan. I have a number of latent variables (specifically I am fitting ACE behavioral genetics models with multiple phenotypes). For the model to be interpretable the ...
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3answers
155 views
lavaan WLSMV estimator: are results reliable when number of observations is too small to compute Gamma?
I run CFA (confirmatory factor analysis) with WLSMV estimator (since my data are ordinal) in lavaan and I get the following warning message:
...
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55 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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1answer
85 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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0answers
23 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
52 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
25 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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0answers
43 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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0answers
44 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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0answers
55 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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0answers
658 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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0answers
42 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
105 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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14 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
56 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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234 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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0answers
29 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
70 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
301 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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13 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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0answers
88 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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0answers
53 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
103 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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0answers
19 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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0answers
40 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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0answers
50 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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189 views
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30 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
34 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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0answers
158 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
148 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 ...
1
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1answer
98 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 ...
0
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1answer
242 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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0answers
98 views
Problem with assessing bidirectional effects
My dataset has four endogenous variables, namely, employment (emp), addiction (addict), depression (...
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1answer
129 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
38 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 =)):
...
