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: Two-level model o Within school regressions o Comparing regressions across schools o Conditional model example and interpretation |
| 11:30 – 12:15 | Start Building Two-level Models |
| 12:15 – 1:30 | Lunch (on your own) |
| 1:30 – 3:15 | Building two-level models
· Model 1 One-way 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 level-1 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 level-2 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 |
| 11:00-12:30 | Centering
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| 12:30 – 1:45 | Lunch (on your own)
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| 1:45 – 3:30 | Longitudinal Models in HLM
§ Re-conceptualizing 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
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| 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
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| 10:30 – 10:45 | Break |
| 10:45 – 12:00 | § Intro to time varying covariates
NYS Output |
| 12:00 – 1:15 | Lunch (on your own)
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| 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
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| 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 Non-Linear Growth
· Fit and interpretation o NYS as a non-linear model (Piecewise) |
| 10:30 – 10:45 | Break |
| 10:45 – 12:00 | Polynomial Models for Non-Linear Growth
o NYS as a non-linear model (Cubic) Comparison to piecewise model |
| 12:00 – 1:15 | Lunch (on your own)
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| 1:15 – 2:30 | Heterogeneous Variances |
| 2:30-2:45 | Break
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| 2:45-3:45 | Residual Files and Graphing |
| 3:45-5:00 | 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
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| 10:45-11:00 | Break and Evaluations |
| 11:00-12:00 | Closing thoughts and special requests |
| 12:00 | Closing Luncheon – Gentry Room TBA
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