lavaan

I think I could solve the problem myself. This code seems to work (I'm glad if somebody can

You're right, my previous post didn't distinguish between grand-mean and cluster-mean

Hi Terrence, Thanks for the explanation. Based on what you've said those std.all estimates will

On 6/2/20 4:41 AM, Ranaivo Rasolofoson wrote: > Dear Yves, > I was looking at the presentation

Lisa, Linearity and homoskedasticity are assumptions of the model, not the estimator. If these are

would greatly appreciate some help with the syntax. Then can you provide your syntax? Or if you are

Joy, I think the debate is still wide open. Falk (2017) uses simulations to once again make the case

Hello, you may want to check bmem, pwr2ppl, pwrSEM, power4SEM, and/or Webpower. 2020년 3월 28일 토요일 오후 6

thank you very much for shedding light on this issue. I cannot overstate how helpful your comments

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

Thank you! This is really helpful. I considered using the mediation package, but wasn't sure

METquantthird = exogenous ordinal variable with 3 levels (1,2,3) LVMass = continuous variable

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

I agree with Ed, there is not apparent problem. This is related to suppression effects, which many

Now I understand, thank you very much for explaining it further! On Saturday, 25 January 2020 15:56:

I thought that the mediation package could handle multilevel mediation but not multilevel moderated

Thank you so much, Terrence! To help others who wonder the same question, I pasted the syntax that

Thank you for the reference! 在2023年4月18日星期二 UTC+2 14:31:09<Terrence Jorgensen> 写道： Have you

I am afraid they are currently hidden in an internal slot. But I have just added a "coef.boot

Thanks for the good and fast reply.

So far I only found the "ordered" function which doesnt seem to make much sense in my model

how I can get the intercepts for these plots? Ie in this model the intercepts for UniSelfDiscB at

What do you mean precisely when you say "The model with 2 df omits 2 paths on the mediator.

(1) Is there an appropriate missing option I can use here and You could specify missing="