| Message/Author |
|
|
| Jon Matthew posted on Friday, January 12, 2018 - 1:21 pm
|
|
|
Hi there,
I am running a multilevel mediation model (2-2-1), whereby I am running between coefficients to estimate the variance in the outcome variable (measured at level 1).
The outcome variable measured in level 1 is a latent construct. These are measured through observed variables. When I run the Mplus multilevel mediation analysis, I get a R-Square values for each of the observed variables of that specific latent construct.
Is it possible to get a R-square value for the whole latent construct rather than the variance explained by individual observed items in Mplus? |
|
|
|
|
| The output gives you R2 also for the latent DVs. |
|
|
| Jon Matthew posted on Saturday, January 13, 2018 - 2:22 am
|
|
|
| Thanks for the response. It does gives the R2 Square values for the Between (latent) DVs and Within (for each Observed item) for the DV latent construct. |
|
|
| Jack Peltz posted on Friday, June 01, 2018 - 5:59 am
|
|
|
Dear Dr. Muthen, I am currently running analyses using Preacher et al.'s (2010) syntax for 2-1-1 mediation in a multi-level model. What is the best way to estimate how much variance (what %) is being explained in the outcome as well as in the mediator? (STANDARDIZED cannot be used in this instance, so r2 are not immediately accessible.)
Thank you for your feedback. |
|
|
|
|
| Why not use standardized - do you have a random slope? |
|
|
| Jack Peltz posted on Friday, June 01, 2018 - 8:01 pm
|
|
|
| We z-scored the variables in Level-1 units, and we are using a random slope model. Can we simply subtract the within and between residual variance from 1 to get the variance accounted for (from the outcome)? Alternatively, for the mediator, can we get the variance accounted for by subtracting the between-level residual variance from 1 as well? |
|
|
|
|
That's not the correct way to get R-square with random slope models. Instead, use Estimator = Bayes where you get an R-square that is within-level averaged over clusters. This is described in the paper
Schuurman (2016) How to Compare Cross-Lagged Associations in a Multilevel Autoregressive Model. Psych Methods. |
|
|
| Jack Peltz posted on Thursday, June 07, 2018 - 8:02 am
|
|
|
| Thank you, Dr. Muthen. I may have been mistaken as we are using a fixed slope model. (Sorry about that.) Would the Estimator=Bayes method still apply or would you suggest a different way for determining how much variance is accounted for in our mediator and outcome in the 2-1-1 model? |
|
|
|
|
| In that case you can use any of our estimators and just request Standardized in the Output command. |
|
|
| Back to top |
