Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)


H  HLM workshop - Not presented in the spring of 2011
Date: Not presented in the spring of 2011.
Location: Gleacher Center, Chicago
Instructors: Steve Raudenbush, University of Chicago & Tony Bryk, Stanford University
 Day 1
  9:00 - 10:30 Introduction and overview of Hierarchical Linear Models
10:30 - 10:50 Break - refreshments provided
10:50 - 12:20 Introduction to the HLM 6 program and computer demonstration
12:20 -   1:40 Buffet luncheon
  1:40 -   3:10 Applications to organizational research
  3:10 -   3:30 Break - refreshments provided
  3:30 -   5:00 Continue applications to organizational research
Day 2
  9:00 - 10:30 Principles of estimation and hypothesis testing
10:30 - 10:50 Break - refreshments provided
10:50 - 12:20

Applications to the study of individual change
Alternative covariance structures in studies of individual change
12:20 -   1:40 Buffet luncheon
  1:40 -   3:10 Introduction to 3-level models with HLM 6
  3:10 -   3:30 Break - refreshments provided
  3:30 -   5:00 Cross-classified random effects models
 Day 3
  9:00 - 10:30 Introduction to the theory and application of hierarchical linear models with discrete outcomes
10:30 - 10:50 Break - refreshments provided
10:50 - 12:20 Applications of hierarchical generalized models: binomial and Poisson models for grouped and ungrouped data; overdispersion
12:20 -   1:40 Buffet luncheon
  1:40 -   3:10 Advanced topics; Design considerations; Group questions and discussion
  3:10 -   3:30 Break - refreshments provided
  3:30 -   4:30 Advanced topics; Design considerations; Group questions and discussion

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