Day 1 Monday
8:30 – 9:00  Continental Breakfast, 319 Gentry 
9:00 – 9:15  Introduction to HLM – overview of the week 
9:15 – 10:30  Basics of Multilevel Modeling
Regression Example – High School and Beyond 
10:30 – 10:45  Break 
10:45 – 11:30  Continuation: Regression Example
· High School and Beyond (HSB) Example: Twolevel model o Within school regressions o Comparing regressions across schools o Conditional model example and interpretation 
11:30 – 12:15  Start Building Twolevel Models 
12:15 – 1:30  Lunch (on your own) 
1:30 – 3:15  Building twolevel models
· Model 1 Oneway random effects ANOVA (totally unconditional model) o ICC o Reliability o Interpretation of fixed and random effects · Model 2 Random coefficients model (unconditional model) o Change in level1 variance o Variance and covariance components o Interpretation of fixed and random effects · Model 3 Intercepts and slopes as outcomes (conditional model) o Reduction in level2 variance o Residual variance and covariance components o Interpretation of fixed and random effects · Model 4: Adding MeanSES (time permitting) 
3:15 – 3:30  Break 
3:30 – 5:00  Using the HLMv7 software – Analysis walkthrough
· Manipulating files using SPSS o Aggregating variables in SPSS · Level 1 and level 2 data files · Creating MDM files for HLMv7 · Building models 
Day 2: Tuesday
8:30 – 9:00  Continental Breakfast, 319 Gentry 
9:00 – 9:15  Q & A from Day 1 
9:15 – 10:45  Model Assessment Issues
· Model fit o Deviance, model comparison procedures, multiparameter tests, AIC and BIC · Estimation and Maximum likelihood 
10:45 – 11:00  Break 
11:0012:30  Centering

12:30 – 1:45  Lunch (on your own)

1:45 – 3:30  Longitudinal Models in HLM
§ Reconceptualizing Longitudinal Data for Multilevel Models § Person period data sets § Centering Time § Growth trajectories and individual growth curves § Correlation between rate of change and initial status § Time in different metrics 
3:30 3:45  Break 
3:45 – 4:45  Structured Lab I – Organizational Data

4:45 – 5:00  Questions and Answers – Lab review 
Day 3: Wednesday
8:30 – 9:00  Continental Breakfast 
9:00 – 9:15  Q & A from Day 2 
9:15 – 10:30  Longitudinal Continued: PIAT reading examples

10:30 – 10:45  Break 
10:45 – 12:00  § Intro to time varying covariates
NYS Output 
12:00 – 1:15  Lunch (on your own)

1:15 – 2:15  · Interaction between time and covariate
o Unemployment example 
2:15 – 3:30  · Modeling discontinuity
o Wages example 
3:30 – 3:45  Break 
3:45 – 4:45  Structured Lab II – Longitudinal data

4:45 – 5:00  Recap and Q&A 
Day 4: Thursday
8:30 – 9:00  Continental Breakfast 
9:00 – 9:15  Q & A from Day 3 
9:15 – 10:30  Piecewise and Polynomial Models for NonLinear Growth
· Fit and interpretation o NYS as a nonlinear model (Piecewise) 
10:30 – 10:45  Break 
10:45 – 12:00  Polynomial Models for NonLinear Growth
o NYS as a nonlinear model (Cubic) Comparison to piecewise model 
12:00 – 1:15  Lunch (on your own)

1:15 – 2:30  Heterogeneous Variances 
2:302:45  Break

2:453:45  Residual Files and Graphing 
3:455:00  Open lab time and Office Hours 
Day 5: Friday
8:30 – 9:00  Continental Breakfast 
9:00 – 9:15  Q & A from Day 4 
9:15 – 10:45  Power Analysis and Sample Size

10:4511:00  Break and Evaluations 
11:0012:00  Closing thoughts and special requests 
12:00  Closing Luncheon – Gentry Room TBA
