David A. Kenny
January 8, 2009
~
DATIC 2009 ~
Data Analysis Training
Institute of
Workshop on Hierarchical Linear Models
Instructors:
D. Betsy McCoach, Ph. D.
&
Ann A. O'Connell, Ed.D.
Two workshops
on Hierarchical Linear Models will be held at the
Session A:
Session B: Monday, June 15 to Friday, June 19
Each
workshop covers basics and applications of multilevel modeling with extensions
to more complex designs. Participants will learn how to analyze data via a
multilevel model, and be able to interpret the results from their analyses.
Participants are expected to have a working knowledge of multiple regression as
well as SPSS (or SAS). Analyses will be demonstrated using the software HLMv6.
Alternative software packages, including SPSS, will be discussed, and examples
provided. Instruction will consist of lecture, computer workshops, and
individualized consultations. The emphasis will be practical with minimal
emphasis on statistical theory, but those seeking more statistical information
can arrange an individualized session during instructor office hours.
Because the
number of spaces is limited, please apply soon to reserve a space. To
register, send an email to daticworkshops@gmail.com
in order to save a place, and complete the registration form (click here to get the form).
Participants
are encouraged to bring their own data. They should contact the
instructors beforehand to ensure that data are appropriately formatted for
analysis using HLMv6 or SPSS.
The workshop covers the
following topics:
Dates and
Times:
HLM Workshop Session A: Monday June 8
to Friday June 12, 2009
Opening Reception planned for Sunday June 7,
at 6:00PM
HLM Workshop Session B: Monday June 15 to Friday June 19, 2009
Opening Reception planned for Sunday, June 14, at 6:00PM
Schedule:
9AM to 5PM Monday-Thursday,
9AM to 12PM Friday with complimentary luncheon
Location:
Cost:
Registration:
The following
materials and events are included in the cost of the workshop:
Curriculum (to be adapted somewhat to the specific needs of
participants)
Day 1
• Introduction
• Basics of multilevel
modeling
• Fixed and random
effects, ICC
• Examples of
two-level models for clustered data
• Using the HLMv6
software
• Intro to HLM
Software
• Applications (HLMv6)
Day 2
• Model building,
model testing,
• Estimation, model
fit
• Centering
• Heterogeneous
Variances
• Using SPSS for
two-level organizational data
• Lab time
Day 3
• Reconceptualizing
longitudinal data for multilevel models
• Two-level
longitudinal analyses
• The flexible
treatment of time
• Adding time
invariant predictors
• Adding time-varying
predictors
• Developing the
piecewise growth curve
• Applications
• Lab time
Day 4
• Additional
applications for longitudinal data
• Polynomial models
for non-linear growth
• Three-level
longitudinal analyses
• Generalized
multilevel Linear Models (logistic HLM)
• Residual diagnostics
• Lab Time
Day 5
• Power Analysis and
effect size; Using the Optimal Design Software
• Questions and
answers
• Wrap-up
• LUNCHEON
Recommended Readings (additional readings to be provided at the course)
O’Connell, A.A. & McCoach, D.B. (Eds.) (2008).
Multilevel Modeling of Educational Data.
Raudenbush, S.W. & Bryk, A. S. (2002). Hierarchical
Linear Models: Applications and Data Analysis Methods (2nd ed.).
Raudenbush, S., Bryk, A., Cheong, Y.F., & Congdon, R.
(2004). HLM 6: Hierarchical Linear and Nonlinear Modeling.
Singer, J. D. & Willett, J. B. (2003). Applied
longitudinal data analysis: Modeling change and event occurrence.
Link to the IAP website to buy the O’Connell &
McCoach book here.
Link to the SSI site to buy the Raudenbush & Bryk books here.