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 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?

Thanks,
Leo
 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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