I'm trying to do a multilevel structural equation model using a data set with observations from 32 different countries. I cluster the model by country ...
I'm trying to do a multilevel structural equation model using a data set with observations from 32 different countries. I cluster the model by country ...
In the parcel allocation function, there is an output called "Percent_Sig". I interpreted this value as an averaged p-value acros allocations. (e.g. ...
I'm currently working on a multiple-group confirmatory factor analysis using the R-package lavaan. The model has two latent variables with four indica ...
I would like to do structural equation modeling (SEM) with a latent variable (denoted "UNKOWNlatent" in the example below) in Python using the semopy ...
I created a lavaan model out of an existing dataframe and used that model to generate a list of dataframes with (with some data missing from each data ...
I'm calculating a confirmatory factor analysis with the following model: As you can see, there are two ordinal (binary) variables that are supposed ...
have the data of two tests. test about engagement evaluated with two sections and 10 questions 6 of them about working engagement A1,A2,A3,A4,A5,A6 4 ...
My understanding is that one should not be able to use both a regression and covariance formula between two variable in lavaan. Nevertheless, I am abl ...
Usingsummary(fit.measures = TRUE) I am able to access extensive information about the fit of models stored in lavaan model objects. In this output (ex ...
I have a little problem. I have some indicators that do not load enough on their constructs and I would like to delete them. In the SEMinR package doc ...
When I conducted sem using lavaan, I found the variance of a factor was negative. So I fixed the variance of this factor to be zero. Should I fix the ...
So far, this is the code I have for my structural equation model: Which gives me this passable, but not perfect path diagram. You can see here that ...
Now, I trying to use SEM for checking HBN(Hierarchical Bayesian Network) structure. I have ordered categorical independent variables and binary catego ...
In "Causal Inference in Statistics" by Pearl, Glymour and Jewell page 122: "In linear systems, where reversal of transitions amounts to negating the s ...
I have the following longitudinal (3 Timepoints) data set: data: outcome is a physiological measure that was sampled per subject (ID) at timepoi ...
I am trying to run a lavaan structural equation model to identify change between two time points. I have the following data set: plotted: Mod ...
I am relatively new to lavaan and structural equation modelling in general and would be really grateful for any help with the following problem: I ha ...
I'm currently running an bifactor model (R - lvaan) with one general factor and three domain specific factors (X1, X2, X3). The dataset contains 18 it ...
I am trying to create a structural equation model that tests the structure of latent variables underlying a big 5 dataset found on kaggle. More specif ...
How can one go about modelling the interaction between a categorical independent variable and a continous moderator (created through a CFA) in a SEM m ...