Fay Chen posted on Thursday, April 21, 2016 - 9:40 am
I am conducting latent interaction analysis in Mplus. Instead of mean centering all indicators in Mplus, I centered the indicators for latent independent variables in R first (x1 through x6) and formed the latent interaction product terms there (i.e., x1x4, x2x5, x3x6). Then in Mplus I centered the x1x4, x2x5 and x3x6 using the CENTERING command before modeling it.
Do you think this is the correct way? Does Mplus automatically center the latent variables, or do I still need to center latent variables manually before modeling it?
You don't need to do any centering when using XWITH.
Fay Chen posted on Wednesday, April 27, 2016 - 1:28 pm
Thank you for your suggestion, Dr. Muthen! I am trying to use the unconstrained product indicators approach proposed by Marsh, Wen, & Hau (2004). If I am forming the latent interaction variable using the product indicators from the two latent independent variables, should I simply regress the latent dependent variable on 1)latent IV1, 2)latent IV2, and 3)latent interaction variable as formed using product indicators, or do I need to use the XWITH command?
Below is part of my input dealing with the interaction using the product indicators approach. Do you think this is correct, or should I use XWITH somewhere for the interaction? Thank you so much!
I am also attempting to use Mplus for my moderation analysis using latent variables. I was trying to follow the discussion above. When you say "You don't need to do any centering when using XWITH," do you mean that this command "XWITH" centers the variables for you? Or do we center our variables prior to bringing the data-set to Mplus for analysis? I am sorry this is all very new to me as I have only used Mplus with latent variables for mediation analysis.
Sorry for all of the emails back and forth. If using latent variables in moderation analysis, do we not mean center because latent variable have mean zero in most models and therefore do not need be altered. I read this from one of your comments to another researcher who posted a similar question as mine. Also, do we just use the XWITH when we are doing moderation analysis with latent variables in Mplus?
Answer t0 8:17: Centering is not needed even with non-zero factor means. XWITH is used whenever you want a predictor that is f1*f2, f*f, or f*y.
Sara Namazi posted on Wednesday, May 30, 2018 - 8:44 am
Hi Dr. Muthen,
I am examining whether a masculine organizational culture (MASCC) moderates the relationship between a masculine gender identity (BM_SM)and emotional suppression (EMOSUP). I wanted to verify with you whether my syntax looks correct before I report my results. All of my variables are continuous and treated as latent variables. As such, my interaction term is also latent.
Sara Namazi posted on Sunday, August 05, 2018 - 8:58 pm
Hi Dr. Muthen,
I wanted your advice on a question I had about moderated mediation.
I have two predictors in my model that both interact with a single moderator. My moderator points to both the a path and the cí path. Do you recommend I run the interactions one at a time or keep both in a single model? Currently I have both interactions in a single model and it ran fine.
Syntax is this: Emo (mediator) on x1 x2 Moderator interaction 1 ! Moderator x X1 interaction 2 ! Moderator x X2 Stress (main outcome) on Emo x1 x2 Moderator interaction 1 ! Moderator x X1 interaction 2 ! Moderator x X2
In another analysis, I have three moderators pointing to the b path. These moderators are Depression, anxiety and hostility. Should I also run those separately or keep them together in a single model? I currently ran them separately.
Syntax is this: Emo (mediator) on X1 X2 Stress (main outcome) on Emo X1 X2 Depression (moderator) Interaction 3 ! Depression x Emo