lavaan

Hi, Thank you very much for the useful reference. I totally agree with Henrique, it is really great

Could it be a problem that your data is ordinally distributed? I would use a WLSM estimator in that

Great! Thank you so much for your help. I'm glad to know that this was just a user error on my

Hi Edward, Thanks a lot for all your answers. It helped me a lot! Best, Magali

Thank you for unpacking all of this, I will do some further investigating! On Jun 14, 2020, at 4:59

Does your sessionInfo() show that the VGAM package is loaded? That problem will eventually be

Take a look at this: https://www.researchgate.net/publication/

should the .842 loading on s (see output) influence my interpretation of the slope mean (ie, .221)

Hello everyone! I estimate a model with two latent factors (3 categorical indicators each), a control

I am attempting to run this model using lavaan Try using sem() instead, which automatically adds the

1) I don't think it's okay: https://psycnet.apa.org/record/2012-18631-001 2) Even if you

Thank you for the response and the reference, Dr. Rigdon. This helps put into words my gut feelings.

growth() is only for simple growth curves (ie, with exogenous growth factors). Draw a path diagram of

https://statistics.ohlsen-web.de/sem-path-diagram/ Am 22.10.19, 18:59, Dave Bell <

Olaya-- The model is now fully saturated. With 0 degrees of freedom, the model must fit the data

Anouck, LISREL developers attempted something like this based on the determinants of the covariance

1) from the output below, it there something (some indices) indicating that the model is doing

run it again lately with Lavaan (0.6-1) The latest CRAN version is 0.6-4, does the discrepancy still

I expect it will provide what you need. Actually, I take that back. Your model has a categorical

we're interested in a strutural model where variables are better related after logarithmic

I am sending the link of the paper which doesn't mention using package semPlot for diagram

I need to test nomological validity with SEM. But what exactly should I look at That is not one thing

SOLVED, I forgot to add *1 FixedGlobalMod <- ' #regressions M1 ~ 0.797*X M2 ~ 0.008*X+0.291*M1

... of the single indicator measures to be precise 🤐 -- Diese Nachricht wurde von meinem Android

Most of the stuff (maybe all of it?) you can get with parameterestimates() and the fitmeasures()

Dear Mr. Terrence, thank you very much for the quick reply! What I meant with regard to the

The first option. Mikko Sent from my iPhone On 4 Apr 2019, at 21.14, Mario Garrido <gaiarrido@

Dear Terrence, thank you so much! It finally worked when I tried it at home! Thank you for all your

Thank you Terrence. On Friday, 29 March 2019 17:46:26 UTC+8, Terrence Jorgensen wrote: These are not

Thanks for the clarification.