SHORT COURSE ON MULTILEVEL MODELING

Northwestern faculty and doctoral students: If interested in attending this workshop, please contact Nancy McLaughlin at 7-6873.

: Kellogg login only. Other Northwestern users, please stop by the DRCC, where hard copies are available, or contact Josh Simmons (1-8068).

The course will take place in the Cresap Computer Lab.

Readings and class materials

• Analysis of Multilevel Organizational Data
• Short Course on Multilevel Modeling
• Within-Group Agreement, Non-Independence and Reliability. Implications for Data Aggregation and Analysis, by Paul D. Bliese. In: Mutlilevel Theory, Research, and Methods in Organizations. Foundations, Extensions and New Directions. K. J. Klein and S.W.J. Kozlowksi, eds. Jossey-Bass, 2000
• The Application of Hierarchical Linear Modeling to Organizational Research, by David A. Hofman, Mark A. Griffin and Mark B. Gavin.
• Multilevel Random Coefficient Modeling in Organizational Research. Examples using SAS and S-Plus, by Paul D. Bliese. In: Measuring and Analyzing Behavior in Organizations. Advances in Measurement and Data Analysis. Fritz Drasgow and Neal Schmitt, eds. Jossey-Brass, 2002

Relevant links and resources

Software available at Kellogg (and/or Northwestern):

• HLM
• R
• SAS
• S Plus

R related:

• Using R to teach econometrics, by Jeff Racine and Rob Hyndman. In: Journal of Applied Econometrics, Volume 17, Issue 2, 2002.
• R documentation in HTML format
• R Project web site
• Comprehensive R Archive Network (CRAN)