Table 2.
Proportion of variance explained by each model.
Model | Variables | Percentage of model 1 area level variance explained |
---|---|---|
All | ||
1 | Constant, age, age-squared, age-cubed, gender and cohort | n/a |
2 | As model 1 adding depcat, and depcat×agea | 72.2 |
3 | As model 2 adding class, class×age, class×age-squared, class×age-cubed | 84.6 |
4 | As model 3 without depcat or depcat×age | 44.1 |
Males | ||
1 | Constant, age, age-squared, age-cubed, and cohort | n/a |
2 | As model 1 adding depcat, and depcat×agea | 93.1 |
3 | As model 2 adding class, class×age, class×age-squared, class×age-cubed | 100.0 |
4 | As model 3 without depcat or depcat×age | 59.7 |
Females | ||
1 | Constant, age, age-squared, age-cubed, and cohort | n/a |
2 | As model 1 adding depcat, and depcat×agea | 73.9 |
3 | As model 2 adding class, class×age, class×age-squared, class×age-cubed | 84.7 |
4 | As model 3 without depcat or depcat×age | 46.8 |
Interactions between depcat and age-squared or age-cubed were left out as they were not significant at the p<0.05 level in most models. For females only the interaction effect between age-squared and being in the most deprived category was significant in Model 2 but not in model 3, suggesting that this was mainly due to effects of individual class, and so this has been left out for consistency with the overall and male only models.