David A.
Kenny
March 12,
2008
~ DATIC 2008
~
Data Analysis Training Institute
of
Workshop on Hierarchical Linear Models
Instructors: D. Betsy McCoach & Ph.D.Ann A. O'Connell,
Ed.D. and
Two workshops on
Hierarchical Linear Models will be held at the
Session A:
Session B: Monday,
June 23 to Friday June 27 (slots still available)
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 16 to Friday June 20, 2008
Opening Reception planned for Sunday June 15, at 6:00PM
HLM Workshop Session B:
Monday June 23 to Friday June 27, 2008
Opening Reception planned for
Sunday, June 22, 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)
• Graphing in HLM, and residual diagnostics
• Lab Time
Day 5
• Power Analysis and effect size; Using the Optimal Design Software
• Questions and answers
• Wrap-up
• LUNCHEON
Recommended Readings
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 SSI site to buy the Raudenbush & Bryk books here.