Table 5.
Standard model | Nested g‐factor model | |||
---|---|---|---|---|
Predictors | Age | BMI | Age | BMI |
S1 | –0.23*** | 0.56*** | –0.13** | –0.09 |
S2 | –0.25*** | 0.37*** | –0.10* | –0.23*** |
S3 | –0.08* | 0.40*** | 0.16** | –0.12* |
S4 | –0.16*** | 0.45*** | 0.04 | –0.06 |
g | –0.21*** | 0.56*** |
p < 0.05,
p < 0.01,
p < 0.001.
Coefficients represent standardized linear regression estimates in a full SEM analysis. Standard model: S1‐S4 represent subscale scores summed as in Table 1. Nested factor model: S1‐S4 represent primary factor scores.