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In the next few lines of the output, reliability estimates are given for the level-1 coefficients. This
is an overall or average reliability for each level-1 coefficient across the set of 160 level-2 units
(schools). These estimates are calculated according to Equation 3.59 in Hierarchical Linear
Models, p. 50 and depend on two factors: the degree to which the true underlying parameters vary
from school to school and the precision with which each school's regression equation is estimated.

Select the options for missing data in the level-1 file (there is no missing data in
HSB1.SAV).
Click the selection button for measures within persons for the type of nesting of
input data if the level-1 data consist of repeated measures or item responses. With
this selection, WHLM will use in its displays and output model notations that match
those used in Hierarchical Linear Models for studies on individual change and
latent variables. The default type is persons within groups. It is generally used
when the level-1 data are comprised of cross-sectional measures. With this option,
WHLM will use model notations that correspond to those used for applications in
organization research.

For the HS&B example, the level-1 units are students and the level-2 units are schools. The
two files are linked by a common level-2 unit ID, school id in our example, which must appear
on every level-1 record. In constructing the MDM file, the HLM program will compute summary
statistics based on the level-1 unit data and store these statistics together with level-2 data.

The precision of estimation of the intercept (which in this application is a school mean) depends
on the sample size within each school. The precision of estimation of the slope depends both on
the sample size and on the variability of SES within that school. Schools that are homogeneous
with respect to SES will exhibit slope estimation with poor precision.
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相關(guān)產(chǎn)品:spss,pscad,stata,sas,hydrus
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