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Hello, I'm running the following multilevel model:
Usevariables = X1 X2 X3 X4 Y sdmvstra sdmvpsu newrfips weights2 cluster;
categorical are Y;
stratification=sdmvstra;
cluster= sdmvpsu newrfips;
weight= weights2;
wtscale = cluster;
within= X1 X2;
between X3 X4;
Analysis:
Type = complex twolevel;
model:
%within%
Y on X1 X2;
%between%
Y on X3 X4;
and I obtain different parameter estimates and SE, depending on how I sort my data-set. Is there a specific way I should sort my data-set when implementing a two-levels model with two levels clustering? Thank you very much! |
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| You don't need to sort your data. The sorting must be changing the data if you get different results. Do a TYPE=TWOLEVEL BASIC on both data sets to make sure the descriptive statistics are the same for both data sets. |
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