title:
Introducing Multilevel Modeling by Kreft and de Leeuw.
Page 99, Table 4.25
data:
file = imm23.dat ;
variable:
names = schid stuid ses meanses homework white parented public
ratio percmin math sex race sctype cstr scsize urban region;
cluster = schid;
usevar = math homework ratio;
within = homework; ! level 1 variables here
between = ratio; ! level 2 variables here
analysis:
type = twolevel random;
estimator = ml;
model:
%within%
math ; ! no fixed effects
b1 | math on homework; ! random effect of homework
%between%
math on ratio; ! intercept predicted from ratio
b1 ; ! no predictors of homework slope
math with b1; ! covariance intercept and slope