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 7 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 |
Applications to the study of individual change Alternative
covariance structures in studies of individual change |

Day 2 |

9:00 - 10:30 |
Principles
of estimation and hypothesis testing |

10:30 - 10:50 |
Break - refreshments provided |

10:50 - 12:20 |
HLM residual files: estimation of unit-specific effects
Introduction to 3-level models |

12:20 - 1:40 |
Buffet luncheon |

1:40 - 3:10 |
Introduction to 3-level models (continued)
Introduction to 4-level models |

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 |
Spatial models for neighborhood effects; measurement
errors in predictors |

12:20 - 1:40 |
Buffet luncheon |

1:40 - 3:10 |
HLM with Missing Data |

3:10 - 3:30 |
Break - refreshments provided |

3:30 - 4:30 |
Optimal Design of multilevel and longitudinal research;
questions and discussion |