Questions tagged [lavaan]
`lavaan` is the LAtent VAriable ANalysis package in R used for structural equation modeling
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Adding manifest exogenous variable to SEM leads to error
I am new to SEM, and some help would be very appreciated.
I want to specify a model with one latent endogenous variable, five latent exogenous variables, and a manifest exogenous variable. Something ...
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Can Lavaan handle multigroup multilevel SEM?
I am wondering if it is possible to run a multigroup, multilevel SEM in Lavaan.
I can run the analysis just as a multigroup and just as a multilevel, but when I try to specify both cluster and group, ...
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Is it defensible to combine total scores from separate assessments to assess intervention gains?
I have two assessments, each with 28 multiple-choice items, and a total of sample size of about 180 students. Both assessments were given to students at pre-assessment and once again at post-...
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Binary/dichotomous variables in random-intercept crossed-lagged panel models (RI-CLPM)
I would like to implement a RI-CLPM model in lavaan, but I am having some issues, which I suspect are related to having one variable being dichotomous (binary) and ...
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Calculating predicted probabilities from Lavaan with categorical outcome using DWLS estimator
I am Interested in estimating a structural equation model using LAVAAN in R with a categorical outcome and am trying to understand the process of generating predicted probabilities for that outcome ...
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df (mis)calculation with efa models in lavaan
I've been working on some functionality to wrap EFA scripting in lavaan, and noticed some df's that seemed off. I'm now wondering if I'm goofing/overlooking something, or rather, if something ...
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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 ...
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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 ...
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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 ...
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Interpretation of lavaan SEM growth coefficients and covariates' influence on slope
Hello and thanks in advance for advice. I am running the growth() command in lavaan. This is a follow-up to my previous post on this topic (wow, a whole year ago!).
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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 ...
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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 ...
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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 ...
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multilevel moderated mediation with Lavaan in R - failed to converge
This is a repeated measure study, we have X, Y, Mediator, and a moderator, which we hypothesis can moderate the mediation relationship. So I have level 1 and level 2 for between subjects and within ...
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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 ...
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Path analysis with perfect fit
I'm trying to determine if I can display two regression models and the covariance between the dependent variables in one unified model using path analysis with lavaan in R. In the following (scaled) ...
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Maximum likelihood estimation with (robust) Huber-White standard errors appropriate for outlier management?
Is maximum likelihood estimation with robust Huber-White standard errors and a scaled test statistic — which is asymptotically equal to the Yuan-Bentler test statistic — appropriate for data with ...
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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:
...
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Factor Scores explain less Variance than Item means in a multilevel cfa
I conducted a multilevel confirmatory factor analysis (CFA) in lavaan on repeated measures questionnaire data (satisfaction with travel scale). 42 participants had ...
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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 ...
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Decompose variance explained in sequential mediation in lavaan
I am using sequential mediation analyses (aka serial mediation) in lavaan in R.
Below is my model
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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 ...
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Why do I get smaller degrees of freedom for the Scalar invariance model than the Metric one while testing measurement invariance?
I am trying to test the measurement invariance in my bi-factor model with CFA tests. I have 23 binary questions coded "correct" and "incorrect" and 3 different groups in my data. ...
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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 ...
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Completely standardized indirect effect (Preacher & Kelley, 2011) in lavaan
Preacher & Kelley (2011) have proposed an effect size (i.e., completely standardized indirect effect) that quantifies the magnitude of an indirect effect. My question is whether lavaan's ...
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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 ...
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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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Approach for multivariate outlier detection when treating missing values with FIML
I‘m calculating a simple regression with one predictor and one dependent variable. Missings treatment is done with full information maximum likelihood (FIML).
Should I do outlier detection, i.e. ...
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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 ...
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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 ...
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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 ...
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Comparing path analysis models: mediation vs. (residual) covariance
I am using lavaan to run path analysis to predict PC from WA and LC. These are multi-group models. Described here is the first step (identifying best-fitting paths); it is followed by constraining ...
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Can I covary exogenous and endogenous latent variables in SEM in lavaan
I am editing the question as it was too meandering. I am sorry about that.
I am running an extended Theory of planned behavior (TPB) model of digital piracy and I have a question that boils down to - ...
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Using FIML (Full Information Maximum Likelihood) for simple correlation test on data with missings?
I have a dataset with missing values. Since my main hypothesis is just a simple regression, my adviser told me to use FIML regression. So I used lavaan package:
...
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Seeking References for Mediation and SEM Best Practices
Preamble
Recently, a colleague approached me with a dataset$^1$ that they wanted to use to compare several competing mediation models using structural equation modeling (SEM). The models are simple, e....
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power analysis for cross-lagged panel model with random intercept using powRICLPM
I want to compute power analysis for cross-lagged panel model with random intercept using powRICLPM package (Related publication)
Authors of the package did a great job and the power analysis seems to ...
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lavaan: std.lv versus std.all interpretation for (essentially) tau-equivalent models
A (essentially) tau-equivalent model has the following specifications:
the factor loadings are constrained to be equal
the intercepts are constrained to be equal (tau-equivalent) or allowed to vary ...
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How do different sets of restrictions in a SEM with moderation affect results?
I'm trying to run a latent moderated mediation analysis SEM with R lavaan. It is essentially "First Stage Moderation", per Edwards & Lambert (2007), with a few extra factors. I'm using ...
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How to interpret standardized simple slopes and indirect effects in R with semTools and lavaan?
I am attempting to obtain a standardized solution for simple slopes and indirect effects in a SEM in R using lavaan and semTools::probe2WayMC, following the methods of Schoemann & Jorgensen (2021) ...
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Fixed Effects in a latent variable framework using lavaan
I am just now familiarising myself with the literature on Fixed Effect Models. I was wondering if anyone had any references or could confirm that fixed effect models can be used in a latent variable ...
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Centering variables in Lavaan - Path analysis
I hope you're doing well. I'm currently knee-deep in path analysis using the lavaan package for my research. My analysis involves moderation, and centering the variables may simplify coefficient ...
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Test of Group Invariance with 3 Groups
Say, we have three groups and we want to run a test of group invariance with the following data.
...
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Lavaan: How to free a constraint in one group out of two, while at the same time using effects-coding scaling method?
I am examining differences in latent means between two groups using the following syntax:
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Should I interpret the scaled or the standard model in SEM (lavaan)?
I'm attempting to fit a structural equation model in lavaan. My model looks like this:
...
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Serial mediation with 3 mediators and 2 predictors [lavaan]
I have constructed a structural equation model in R using lavaan, with 2 exogenous predictor variables, 3 mediators, and 1 endogenous response variable:
I tried to label it as conventionally as ...
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Interpertation of a conditional quadratic latent growth curve model (i.e., with predictors)
I have a conditional quadratic latent growth curve model and am wondering how to interpret the results.
My predictor of interest is significantly associated with the slope factor (B = -0.45, p = .001) ...
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Latent growth curve model: should you include predictors if the variance for slope and/or intercept factor is not significant?
Hi I am running a series of latent growth curve models.
I am wondering: can predictors of the slope and intercept factor(s) be included when the slope and/or intercept variance are not significant, or ...
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semPower: Accounting for Clustered Standard Errors in SEM Power Analysis with Fixed Effects Model
I am planning to analyse clustered data with a structural equation model and as I am planning on submitting my project as a registered report, I am first trying to do an in-depth power analysis (it is ...
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Latent growth curve model: The variance-covariance matrix of the estimated parameters (vcov) does not appear to be positive definite
I have run a latent growth curve model in R using lavaan and got the below warning. It would be good to hear suggestions on how to resolve this warning. The full output is below.
Note that I dummy-...
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Lavaan and semTools partial measurement invariance syntax
I am running measurement invariance in Lavaan using a 7 item ordinal scale. I have been using Lavaan and semTools, and specifically the measEq.syntax command, due to the fact it easily implements Wu ...
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