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Mplus Discussion > Multilevel Data/Complex Sample >
 Leo van Waveren posted on Thursday, August 08, 2019 - 12:38 pm
Dear all,

I am new to MPlus and try to run a multilevel analysis including seperate survey items for different groups to model latent variables on three levels.

I would like to include data from
student survey 1: x1-x10 (+ School ID & federal state ID)
teacher survey 2: y1-y6 (+ School ID & federal state ID)
school survey 3: z1-6 (+ School ID & federal state ID)

I would like to get estimates for the correlation/influence for model of:
latent student performance by test items
f1 by x1-x3, f2 by x4-x6, f3 by x7-x10

f1 on f2 f3
f2 with f3

while controlling for
influence of teachers from the same school
g by y1-y6 [all responses categorical]
f1 f2 on g

and school factors (from survey 3 -> cluster type #1?)
h by z1-z6 (all continious)
f1 f2 on h
g with h

within each federal state
(-> cluster type #2?)

- How do I include responses to different items in seperate files?

- How do I have to phrase the WITHIN/BETWEEN to account for influences between the five latent variables spread over the three levels?

- How would I account for student gender in this model?

If only parts of this are possible to account for, which and how?

 Bengt O. Muthen posted on Saturday, August 10, 2019 - 6:45 am
So you have 3-level data so you would use Type=Threelevel- or perhaps 4 levels if you count state. Mplus doesn't model 4 levels unless one is repeated measures but state can be handled by Type=Complex Threelevel if you have more than 20 states. The measures for students presumably vary across teachers and schools so they appear on all 3 levels. So you control for teacher variables on level 2 and school variables on level 3. See our Short Course Topic 10 on threelevel modeling.

You don't use separate files in Mplus - just one file with the x, y and z variables as columns (y and z variable values get repeated for lower-level units in the same cluster).

Let Gender be a level-1 covariate.
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