From: An empirical link between motivation gain and NBA statistics: applying hierarchical linear modelling
Type | Random-coefficient model | ||
---|---|---|---|
β | SE | ||
Fixed effect | |||
Intercept, β0 | Intercept, γ00 | 5.69*** | 0.11 |
SDslope, γ01 | |||
TSD, γ02 | |||
PTSprevious season, β1 | Intercept, γ10 | 0.30*** | 0.02 |
SDslope, γ11 | |||
TSD, γ12 | |||
PL, β2 | Intercept, γ20 | 3.71*** | 0.31 |
SDslope, γ21 | |||
TSD, γ22 | |||
PTSprevious season × PL, β3 | Intercept, γ30 | 0.21*** | 0.04 |
SDslope, γ31 | |||
TSD, γ32 | |||
Random effect | |||
Level 1, r | 11.46 | ||
Level 2, u0 | 0.31*** | ||
Level 2, u1 | 0.00 | ||
Level 2, u2 | 1.19 | ||
Level 2, u3 | 0.02 | ||
Total variance (i.e. ICC) | 12.97 (11.7) |