Looking for STATA experts mastering the SEM and multilevel analysis. -- 2

Job ID: 32599089

Budget: £250 – £750 GBP

I am looking for a STATA expert to help me with my code of SEM and multilevel analysis. My model is composed from:
- A Predictor P, a continuous variable with items from P1 to P6.
- A Mediator M, a higher order and continuous variable with the first order variables as follows:
==> Mp a continuous variable with items from Mp1 to Mp4
==> Mr a continuous variable with items from Mr1 to Mr4
- An outcome O, a continuous variable with items from O1 to O5
- A first Moderator S between the predictor P and the Mediator M. ==> S is a continuous variable with items from S1 to S7.
- A second moderator K between the Mediator M and the Outcome O. ==> K is a continuous variable with items from K1 to K7.
- Control variables are observed variables C1 C2 C3 C4 and C5.

Questions:
1- At a firm level, I want to apply the SEM on my model: I already did that, but I want to back-test my results.
==> a CFA should be done on my model
==> I have some doubts about how the higher order Mediator should be coded.
==> I have some doubts about how to code the interaction terms of the moderators.
==> I need to do the invariance testing.

2- At a Dyadic level (Multilevel analysis), I want to apply the SEM on my model, knowing that:
- I have a set of data for Clients, where all the variables shown before are named including a small c.
- I have a set of data for Suppliers, where all the variables shown before are named including a small s.
- I have dyads where:
==> Dyad1 is composed from (Client1; Supplier 1)
==> Dyad2 is composed from (Client2; Supplier 2)
==> …
==> Dyad120 is composed from (Client120; Supplier120)

- I want to apply the SEM on my model knowing that:
==> The Predictor P, the Outcome O and the controlling variables C1 and C2 and C3 are at dyadic level.
==> The Mediator (M ==> Mp, Mr), the Moderators S and K, and the controlling variables C4 and C5 are at firm level.
==> I need the code for the SEM for a multilevel analysis.

PS: See more details about my model and my questions on the attached file.