Table 4 Best fitting multiple linear regression model for the reappraisal and suppression scores
Unstandardized Coefficients | Standardized Coefficients | t-test | p-value | 95% Confidence Interval for B | |||
|---|---|---|---|---|---|---|---|
B | Std. Error | Lower | Upper | ||||
Reappraisal score | |||||||
Constant | 19.95 | 1.83 | 10.922 | < 0.001 | 16.35 | 23.55 | |
Time | 2.76 | 1.10 | 0.17 | 2.506 | 0.013 | 0.59 | 4.93 |
Intervention | 2.14 | 1.10 | 0.14 | 1.943 | 0.053 | -0.03 | 4.31 |
r-square = 0.05Model ANOVA: F = 5.03, p = 0.007 Variables entered and excluded: age, gender, education, job, marital status, residence, age at start, duration of use, number of substances, LOS | |||||||
Suppression score | |||||||
Constant | 23.59 | 1.67 | 14.114 | < 0.001 | 20.29 | 26.89 | |
Time | -3.70 | 0.82 | -0.29 | -4.518 | < 0.001 | -5.31 | -2.09 |
Intervention | -3.58 | 0.82 | -0.28 | -4.371 | < 0.001 | -5.20 | -1.97 |
Duration of use | -0.87 | 0.39 | -0.14 | -2.238 | 0.026 | -1.64 | -0.10 |
r-square = 0.18Model ANOVA: F = 14.50, p < 0.001 Variables entered and excluded: age, gender, education, job, marital status, residence, age at start, number of substances, LOS | |||||||