Table 3.
Hierarchical linear modeling results for Alcoholics Anonymous (AA) attendance predicting transformed percentage of days abstinent (PDA) and drinks per drinking day (DDD) for the outpatient and aftercare samplesa
| Variable | b [95% CI] | t (df) | P |
| Outpatient sample | |||
| Baseline PDA | 0.0045 [0.0039, 0.0052] | 13.34 (479) | <.0001 |
| Lagged AA attendance | 0.0044 [0.003, 0.0059] | 5.91 (419) | <.0001 |
| Lagged AA Attendance × Time | −0.0001 [−0.0021, 0.0020] | −0.08 (440) | .9389 |
| Aftercare sample | |||
| Baseline PDA | 0.0028 [0.0020, 0.0035] | 7.11 (421) | <.0001 |
| Lagged AA attendance | 0.0029 [0.0020, 0.0039] | 5.94 (484) | <.0001 |
| Lagged AA Attendance × Time | 0.0025 [0.0010, 0.0040] | 3.35 (456) | .0009 |
| Outpatient sample | |||
| Baseline DDD | 0.0249 [0.0163, 0.0335] | 5.70 (322) | <.0001 |
| Lagged AA attendance | −0.0116 [−0.0163, −0.0069] | −4.84 (393) | <.0001 |
| Lagged AA Attendance × Time | −0.0034 [−0.0100, 0.0032] | −1.02 (400) | .3100 |
| Aftercare sample | |||
| Baseline DDD | 0.0245 [0.0174, 0.0317] | 6.73 (395) | <.0001 |
| Lagged AA attendance | −0.0108 [−0.0143, −0.0073] | −6.02 (463) | <.0001 |
| Lagged AA Attendance × Time | −0.0086 [−0.0140, −0.0031] | −3.09 (369) | .0021 |
a
Control and other variables included in these tested models but not shown above include age, gender, ethnicity, marital status, employment status, number of prior alcohol treatments, treatment assignment, treatment site, Gender x Time, and AA Attendance x Intake Level of Dependent Variable.