TABLE 4.
Hierarchical multiple regression analyses predicting number of treatment sessions attended for FFT.
| Variable | sr2 | F (sr) | R2 | B | β |
|---|---|---|---|---|---|
| Income | .12 | 4.81* | .12 | 0.00 | .32 |
| Chaos | .10 | 4.27* | .22 | −1.64 | −.30 |
| Externalization | .01 | 0.41 | .23 | 0.04 | .06 |
| % Days Use | .01 | 0.19 | .23 | −0.02 | −.08 |
Full model: R = .48, adjusted R2 = .14
Note. sr2 = squared semipartial correlation coefficient, indicating the unique variance accounted for by the variable at that point in the equation (ΔR2), F(sr) = test for reliable contribution of the variable [F (ΔR2)]; R2 = squared multiple regression coefficient, indicating the total variance in the criterion variable accounted for by the predictor variable in the regression equation at that point; B = multiple regression coefficient; β = standardized multiple regression coefficient.
p < .05