Table 2.
Hierarchical general linear model (SS1) examining the influence (expressed as a semi-partial regression coefficient [sr]) of BGR, age, parental EA, and social class on participant EA.
| Predictors | Sr | 95% CI | F-value | Df1/Df2 | Value of p |
|---|---|---|---|---|---|
| Biogeographic region | 0.35 | 0.34, 0.36 | 1856.87 | 7/69081 | <0.0001 |
| Age | −0.18 | −0.19, −0.17 | 3257.93 | 1/69081 | <0.0001 |
| Parental EA | 0.42 | 0.41, 0.43 | 18953.24 | 1/69081 | <0.0001 |
| Social class | 0.07 | 0.06, 0.08 | 508.98 | 1/69081 | <0.0001 |
| Set 1 | |||||
| Biogeographic region*Age | 0.08 | 0.07, 0.09 | 98.26 | 7/69081 | <0.0001 |
| Set 2 | |||||
| Biogeographic region*Parental EA | 0.06 | 0.05, 0.07 | 52.62 | 7/69081 | <0.0001 |
| Set 3 | |||||
| Biogeographic region*Social class | 0.03 | 0.02, 0.04 | 15.61 | 7/69081 | <0.0001 |
| Age*Parental EA | 0.00 | −0.01, 0.01 | 0.00 | 1/69081 | 0.9000 |
| Age*Social class | 0.01 | 0.00, 0.02 | 8.26 | 1/69081 | 0.0040 |
| Parental EA *Social class | −0.04 | −0.05,− 0.03 | 140.97 | 1/69081 | <0.0001 |
| Multiple R | 0.59 | 0.59, 0.59 | 1089.23 | 34/69081 | <0.0001 |
The model also estimated the influence of the following interaction sets: region by age, region by EA, and region by social class, in addition to age by parental EA, age by social class, and finally, parental EA by social class.