TABLE 2.

Hierarchical multiple regression analyses predicting number of treatment sessions attended for EBFT.

Variable	sr2	F (sr)	R2	B	β
Income	.02	0.65	.02	0.00	−.05
Chaos	.10	3.94†	.12	−1.59	−.34
Externalization	.22	10.74**	.34	0.29	.51
% Days Use	.02	1.04	.36	−.03	−.15

Full model: R = .60, adjusted R² = .28

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 = .055,

^**p < .001