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2 votes
0 answers
106 views

I'm trying to setup a factor which measures (it's just an example) trust in institutions. The data was registered in more than 10 regions and it would be important to have the same factor structure in ...
0 votes
0 answers
76 views

In a RI-CLPM with three time-invariant predictors I would like to include paths between the predictors using lavaan (R package). There are two observed variables at three measurement points (x1, x2, ...
jmso's user avatar
  • 1
3 votes
1 answer
289 views

So I am trying to run an SEM with the code below: (Btw, I have zero background in R and I just read and watched videos on how to run it for my Phd. So Please bear with me with this question) library(...
1 vote
0 answers
46 views

I am using the mice and semTools packages to impute missing data for my SEM dataset. However, the summary() only gives me unstandardized coefficients, but I like to have p-values and fit indices. For ...
0 votes
0 answers
41 views

I am having some problems getting Lavaan to actually do the analysis for configural invariance in a multigroup CFA. I have 2 groups: gender1 0 = men, women1 1 = women. My model is a 2-factor model, ...
0 votes
2 answers
876 views

So I started using lavaan and sem() today. Worked fine with a couple of constructs/latent variables and a single regression model. However, lavaan now fails. Even when I tried to remove the new ...
0 votes
1 answer
82 views

I am specifying a latent longitudinal growth curve model in R with multiple time-invariant covariates. However, my outcome is binary (0/1). I read through the growth() function documentation, but didn'...
1 vote
1 answer
212 views

I am trying to perform an UTAUT model with the help of lavaan in Rstudio. In particular testing hypothesis such as: H2 <- ' EE =~ V10+V11+V12 BI =~ V28+V29+V30 BI ~ EE + V43*EE + V45*EE + V43 + ...
gibarian's user avatar
  • 157
2 votes
0 answers
65 views

I am using secondary data to build a measurement model in R and, for proof of concept, I am trying to simulate data from this measurement model and fit it to the original model to show that it will ...
0 votes
1 answer
183 views

Problem Introduction Hi everyone, I’m working with a clean dataset of N = 724 participants who completed a personality test based on the HEXACO model. The test is designed to measure 24 sub-components ...
0 votes
1 answer
310 views

I am running a sem() model and I am trying to include a random effects. Dataframe: test <- data.frame(Person = c("a", "a","a", "b", "b", "b&...
1 vote
0 answers
36 views

I am new to SEM, and some help would be very appreciated. I want to specify a model with one latent endogenous variable (indicators are all ordinal), five latent exogenous variables (indicators are ...
mandala77's user avatar
0 votes
0 answers
112 views

I am facing a problem concerning the output of standardized residuals for a fitted lavaan (sem)-object. As far as I do not include "cluster = " in the fitting function, I can easily obtain the ...
Marcus P's user avatar
1 vote
1 answer
301 views

This is my code: DATA <- read_excel("FINAL DATA.xlsx") CFA1 <-' F1 =~ Q1 + Q2 + Q3 + Q4 F2 =~ Q5 + Q6 + Q7 + Q8 F3 =~ Q9 + Q10 + Q11 + Q12 F4 =~ ...
R.M. L.'s user avatar
  • 11
0 votes
1 answer
202 views

Is there a way to calculate an effect size for each predictor in a lavaan model like this? (lavaan in this example is just used to be able to use FIML, otherwise it's a simple linear regression) model ...
Madamadam's user avatar
  • 938

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