Table 3.
Outcome | Akaike wi | Significant predictors | R 2 | R2 with ID | RMSE | RMSE with ID | f 2 |
---|---|---|---|---|---|---|---|
Sociability = Sex + entry age + 1st test tenure + time elapsed + (sex × entry age) + (sex × 1st test tenure) + (sex × time elapsed) | |||||||
0.83 | Sex*** | 0.31 | 0.70 | 0.83 | 0.57 | 0.45 | |
1 st test tenure*** | |||||||
Time elapsed*** | |||||||
Sex × entry age interaction*** | |||||||
Sex × 1st test tenure interaction*** | |||||||
Sex × time elapsed interaction* | |||||||
Cautiousness = Sex + entry age + 1st test tenure + (sex × entry age) | |||||||
0.25 | Sex*** | 0.18 | 0.68 | 0.91 | 0.60 | 0.22 | |
Entry age*** | |||||||
1st test tenure*** | |||||||
Aggressiveness = Sex + entry age + time elapsed + (sex × time elapsed) | |||||||
0.17 | Entry age*** | 0.05 | 0.51 | 0.97 | 0.77 | 0.05 | |
Fearfulness = Sex + time elapsed + (sex × time elapsed) | |||||||
0.36 | Time elapsed*** | 0.03 | 0.65 | 0.98 | 0.64 | 0.04 | |
Sex × time elapsed interaction*** |
Equations show the best-fitting model, as determined by highest Akaike weight (wi). Significant predictors are those variables with coefficients that differed significantly from zero in the more informative models. R2 without subject ID describes the variance in personality explained by the model as shown, and R2 with ID describes the variance explained by the model with ‘ID’ included as a predictor. Root-mean-square error (RMSE) describes model residuals, and Cohen's f2 is a measure of effect size.
P < 0.05
** P < 0.01
P < 0.001.