I am Ahmad. Firstly, I would like to say Thank you to you as your software, user guide and online interaction/discussions helped me a lot throughout my degree.
I read a lot of literature talking about 2-1-1 model or 1-2-1 model. However,my model is 1-1-2 (leader behaviours measured at individual level, team processes measured at individual level, and team performance measured at team level). I am new to using Mplus and unable to identify the right syntax to test the direct and mediating effects in my model. May I please ask for your help?
Thank you, Sir. I ran the model with this syntax and it worked. Few follow up questions please,
Question 1: Is this the way to estimate 1-1-2 model (just to be absolutely sure)? Question 2: How can I infer that its a partial or full mediation? Question 3: How can I get the standardized estimates? Question 4: Is there any specific estimator that you would recommend me to use? MLR, MLF, or Bayes? Questions 5: The intercept value of outcome variable is negative and significant (not the process to performance relationship), does it matter?
That's very helpful. Thankyou so much. If I have to test the individual level effect of behav (independent) on individual level proc (mediator) and team level perfor (outcome); meaning the cross level effect from individual level proc to team level perf. Would I be using the same analysis type and code?
The way I wrote it, there is no indirect effect but perhaps what you have in mind is adding one more line on Between defining a:
%Within% s |proc on behav; %Between% perfor on proc (b) beh (c); proc on beh (a);
I just want to make sure that this is really what you have in mind.
To handle the latent variable decomposition of behav in this random slope situation, you would then have to use Estimator=Bayes. See our new paper on our website:
Asparouhov, T. & Muthén, B. (2018). Latent variable centering of predictors and mediators in multilevel and time-series models. Technical Report, Version 2. August 5, 2018. Accepted for publication in Structural Equation Modeling. (Download scripts).