Table 4:
Blockwise multilevel logistic regression analysis with physical activity as a function of individual factors and school level environmental facilities and policy elements, and between policy elements, physical environmental factors and daily recess activitya
| Bb | t | p | –2loglikelihood (SD)c | |
|---|---|---|---|---|
| Block 1: Individual factors | 1532.80 | |||
| Intercept | −0.54 | −8.01 | <0.001 | – |
| SES | −0.39 | −0.92 | 0.36 | – |
| Sex | −0.11 | −0.79 | 0.43 | – |
| Interest index (0 to 1) | 2.29 | 7.09 | <0.001 | – |
| Block 2: Environment | 1525.03 (0.37) | |||
| Environment index (0 to 1) | 1.24 | 3.43 | <0.001 | – |
| Block 3: Polices | 1517.12 (1.12) | |||
| Policy index (0 to 1) | 0.62 | 3.46 | <0.001 | – |
| Block 4: Policy interaction | 1515.78 (1.66) | |||
| Interests by policy index | 1.09 | 1.24 | 0.22 | – |
| Policy by environment | −0.67 | −0.81 | 0.42 | – |
| Random effect | 0.05 | 0.68 | 0.50 | – |
aAll variables are centred at the grand mean.
bB-estimates are those obtained for the full model.
cSD from the results from the multiple data sets.