Table 2.
Design Factor | Variance Components | |||||
---|---|---|---|---|---|---|
Small | Medium | Large | ||||
τ̂00 | τ̂11 | τ̂00 | τ̂11 | τ̂00 | τ̂11 | |
Contrast 1: Linear versus Logistic Model | ||||||
Main Effect | < 0.01 | < 0.01 | 0.05 | 0.02 | 0.21 | 0.11 |
× Number of Categories | 0.01 | < 0.01 | 0.02 | < 0.01 | 0.04 | 0.01 |
× Cluster Size | < 0.01 | 0.01 | < 0.01 | < 0.01 | 0.01 | 0.01 |
Contrast 2: PQL versus ML Logistic Model | ||||||
Main Effect | < 0.01 | < 0.01 | 0.02 | 0.01 | 0.27 | 0.15 |
× Number of Categories | < 0.01 | < 0.01 | 0.01 | 0.01 | 0.07 | 0.05 |
× Cluster Size | < 0.01 | < 0.01 | 0.01 | 0.01 | 0.05 | 0.05 |
× Number of Clusters | 0.01 | < 0.01 | 0.01 | < 0.01 | 0.01 | 0.01 |
Note. “×” indicates an interaction of the designated between-subjects factor of the simulation design with the within-subjects contrast for method of estimation.