lavaan

Is there any way to predict (in a regression sense) values for my dependent variables given values of

Many many many thanks for your prompt reply ! :-) Le mardi 2 juin 2020 09:48:13 UTC+2, Terrence

should the last line have been summary(fit1) ? Woops, yes! Terrence D. Jorgensen Assistant Professor,

Thanks for your feedback Terrence! I simplified the path diagram for the purpose here, so the

Ugh, yes, sorry about that! That is a typo indeed, should be D ~~ H instead. Am Mittwoch, 22. Januar

Is it accurate to say I am controlling for these variables when I regress the factor on them? Every

Thank you very much for clarifying this ! Le dimanche 16 juin 2024 à 08:12:39 UTC+2, Terrence

Many thanks Terrence, especially for the simulating data part. I will look into that straight away.

I have a covariance matrix from factor scores and I want to use that as input for my analysis.

Thanks for the information. On Saturday, June 1, 2019 at 6:22:52 AM UTC-4, Terrence Jorgensen wrote:

By default with categorical outcomes, lavaan will set fixed.x = TRUE and conditional.x=TRUE. It might

Indeed...! I noticed that only after my post and did have to think what purpose equality constraints

If you use a product indicator approach to create an F1 squared, then yes, you will cross multiply

Thanks for the quick and competent reply terrence !! I will have a look to the plausibelvalues

This is so incredibly helpful. Thank you so much. On Tue, Apr 16, 2019 at 1:25 AM Terrence Jorgensen

I see! Thank you Yves for a very helpful answer! I was originally going to use factor score

I checked the error covariances and found that all covariances substantially deviating from 0 are

Dear Ed Rigdon, Thank you so much for this detailed reply. This is really helpful. Apologies for

Is there some potential way to view (and preferably extract as a data frame or matrix or something

Can I confirm that in both the model the x:a1 is comparing when a=0 with when a=1. No, you are

Yes. The ~= operator defines a latent variable on the left hand side. The observed variable on the

so that the latent variables are orthogonal by definition? How do I do this in lavaan? I would not

I appreciate the response. Thank you On Thursday, January 3, 2019 at 2:39:29 PM UTC-5, Terrence

Does this indicate that WLS is used to calculate parameters but OLS is used for the regression? No.

Since you have a continuous (rather than categorical) moderator, and you want a "pure regression

SEM is a bunch of simultaneous regression models, so breaking your model into smaller parts should

What diagnostic regression tools can someone use to inspect the validity of regression results in