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Mplus Discussion > Multilevel Data/Complex Sample >
Message/Author
 Chris Stride posted on Monday, November 27, 2006 - 2:58 pm
Hi
I have a data set of 124 individuals who are nested within (i.e. make up) 62 couples. All variables are observed and continuous.

I'm interested in predicting 2 outcomes Y1 and Y2 from individual level predictors I1, I2 and I3, and couple-level predictors C1 and C2.

I've succesfully specified my model as

NAMES ARE COUPLE I1 I2 I3 C1 C2 Y1 Y2;
USEVARIABLES ARE
COUPLE I1 I2 I3 C1 C2 Y1 Y2;
MISSING=BLANK;
WITHIN = I1 I2 I3;
BETWEEN = C1 C2;
CLUSTER = COUPLE;

ANALYSIS:
TYPE = TWOLEVEL RANDOM

MODEL:
%WITHIN%
Y1 ON I1 I2 I3;
Y2 ON I1 I2 I3;
%BETWEEN%
Y1 ON C1 C2;
Y2 ON C2;

However, responses to one of my DV's (Y1) and to one of my IVs (I2) are likely to be non-independent within couples. How do I model that dependency? I need to allow for a correlation between the observations of these variables within couples?

cheers
Chris
 Linda K. Muthen posted on Monday, November 27, 2006 - 4:25 pm
The nonindependence of observations is taken into account for all variables when you use TWOLEVEL and CLUSTER.
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