Table 4.
CART | CRT | AOMTS | |
---|---|---|---|
Outcome variable* | |||
STAI State | Best Model: Intercept only N: - Female: 298 - Male: 114 - Total: 412 |
Best Model: Intercept only N: - Female: 290 - Male: 109 - Total: 399 |
Best Model (M1): AOMTS b = −0.08, CI = [−0.13, −0.02], M1/Intercept: BF = 3.30 2nd Best Model (M2): AOMTS + AOMTS*Sex M1/M2: BF = 2.70 N: - Female: 299 - Male: 115 - Total: 414 |
STAI Trait | Best Model (M1): Sex b = 1.66, CI = [0.5, 2.81] M1/Intercept: BF = 6.05 2nd Best Model (M2): Sex + CART M1/M2: BF = 6.81 N: - Female: 298 - Male: 114 - Total: 412 |
Best Model (M1): Sex b = 1.64, CI = [0.43, 2.82] M1/Intercept: BF = 4.78 2nd Best Model (M2): Sex + CRT M1/M2: BF = 3.25 N: - Female: 290 - Male: 109 - Total: 399 |
Best Model (M1): Sex b = 1.68, CI = [0.51, 2.82] M1/Intercept: BF = 6.75 2nd Best Model (M2): Sex + AOMTS M1/M2: BF = 2.20 N: - Female: 299 - Male: 115 - Total: 414 |
BDI | Best Model (M1): WASI b = −0.06, CI = [−0.12, −0.01] M1/Intercept: BF = 1.02 2nd Best Model (M2): CART M1/M2: BF = 1.20 N: - Female: 298 - Male: 114 - Total: 412 |
Best Model (M1): WASI b = −0.07, CI = [−0.13, −0.01] M1/Intercept: BF = 1.71 2nd Best Model (M2): WASI + Sex M1/M2: BF = 2.98 N: - Female: 290 - Male: 109 - Total: 399 |
Best Model (M1): AOMTS b = −0.06, CI = [−0.11, −0.02] M1/Intercept: BF = 3.71 2nd Best Model (M2): AOMTS + WASI M1/M2: BF = 2.62 N: - Female: 299 - Male: 115 - Total: 414 |
For ease of inspection, the model predictors and BFs consistent with a priori hypotheses have been bolded.
Not all data were available from all participants. We therefore report Ns for each measure.