Table 5 Hierarchical Linear Model Analysis Results for Individual Salarycurrent season and EFF
From: An empirical link between motivation gain and NBA statistics: applying hierarchical linear modelling
Type | Random-coefficient model | Conditional model | |||
|---|---|---|---|---|---|
β | SE | β | SE | ||
Fixed effect | |||||
Intercept, β0 | Intercept, γ00 | 5.69*** | 0.11 | 5.69*** | 0.06 |
SDslope, γ01 | 0.19 | 0.36 | |||
TSD, γ02 | 0.61*** | 0.07 | |||
EFFprevious season, β1 | Intercept, γ10 | 0.28*** | 0.02 | 2.86*** | 0.02 |
SDslope, γ11 | 0.05 | 0.11 | |||
TSD, γ12 | 0.01 | 0.02 | |||
PL, β2 | Intercept, γ20 | 3.15*** | 0.33 | 3.13*** | 0.33 |
SDslope, γ21 | 3.23 | 1.88 | |||
TSD, γ22 | − 0.26 | 0.39 | |||
EFFprevious season × PL, β3 | Intercept, γ30 | 0.23*** | 0.03 | 0.23*** | 0.03 |
SDslope, γ31 | − 0.25 | 0.19 | |||
TSD, γ32 | 0.10* | 0.04 | |||
Random effect | |||||
Level 1, r | 11.28 | 11.24 | |||
Level 2, u0 | 0.31*** | 0.02 | |||
Level 2, u1 | 0.00 | 0.00 | |||
Level 2, u2 | 1.40* | 1.40* | |||
Level 2, u3 | 0.01* | 0.01 | |||
Total variance (i.e. ICC) | 13.02 (13.3) | 12.68 (11.3) | |||