Educational
Leadership 610, Hierarchical Linear Models is an advanced course in the
application,
use, and interpretation of multilevel models
with
emphasis on applications in educational and social science research.
The
course emphasizes theory, application, and interpretation of HLM
techniques. The
goal of the course is to gain familiarity and build expertise in the
use of HLM models.Topics covered in the
course include multilevel
data
structures, intraclass correlation, model building, centering, model
estimation and testing,
effect size, fixed and random effects, 2 and 3 level models,
longitudinal
models, missing data and model assumptions, logistic HLM.The
course includes the use and
interpretation of the HLM software. Emphasis
in the course is on the mastery of concepts and principles, development
of
skills in the use and interpretation of HLM software, and in the
development of
critical analysis skills in understanding research using the covered
techniques. The
course is offered for four units of graduate credit. Links are provided
below
to the most recent version of the course syllabus, handouts, and
homework
and data sets for use in the course.