Table 2.
Participant characteristics overall and by treatment group at baseline assessment.
| Variable | TMAP (n = 31) | Control (n = 29) | Total (N = 60) | Statistic | p |
|---|---|---|---|---|---|
| Mean (SD)/percent (N) | Mean (SD)/percent (N) | Mean (SD)/percent (N) | |||
| Age | 22.0 (3.2) | 21.5 (2.8) | 21.8 (3.0) | F(1,58) = 0.56 | 0.46 |
| Female | 61.3% (n = 19) | 62.1% (n = 18) | 61.7% (n = 37) | χ2(1) = 0.004 | 0.95 |
| White/Caucasian | 83.9% (n = 26) | 77.4% (n = 24) | 81.7% (n = 49) | χ2(1) = 0.57 | 0.45 |
| Hispanic | 6.5% (n = 2) | 13.8% (n = 4) | 10.0% (n = 6) | χ2(1) = 0.90 | 0.34 |
| Full-time student | 74.2% (n = 23) | 62.1% (n = 18) | 68.3% (n = 41) | χ2(1) = 1.02 | 0.31 |
| Employed | |||||
| Full-time | 19.4% (n = 6) | 24.1% (n = 7) | 21.7% (n = 13) | χ2(2) = 3.86 | 0.15 |
| Part-time | 54.8% (n = 17) | 69.0% (n = 20) | 61.7% (n = 37) | ||
| Not employed | 25.8% (n = 8) | 6.9% (n = 2) | 16.7% (n = 10) | ||
| Alcohol use | |||||
| # drink days/month | 18.6 (10.0) | 21.1 (9.2) | 19.8 (9.6) | F(1,58) = 1.06 | 0.31 |
| # hvy drink days/month | 6.7 (7.3) | 7.6 (5.2) | 7.1 (6.3) | F(1,58) = 1.04 | 0.31a |
| Drink days in past 2 weeks | 5.6 (3.3) | 4.7 (2.3) | 5.1 (2.9) | F(1,57) = 1.51 | 0.23 |
| # drinks per drink day | 4.7 (3.0) | 4.3 (1.6) | 4.5 (2.4) | F(1,58) = 0.05 | 0.83b |
| Ave drinks per past 2 weeks | 44.5 (50.0) | 44.4 (29.0) | 44.4 (40.9) | F(1,58) = 0.82 | 0.37b |
| Negative consequences (BYAACQ) | 9.5 (4.9) | 9.4 (4.4) | 9.5 (4.6) | F(1,58) = 0.00 | 0.99 |
| Negative consequences (BYAACQ: 0 vs. any) | 3.2% (n = 1) | 0.0% (n = 0) | 1.7% (n = 1) | χ2(1) = 0.95 | 0.33 |
| Brief Situational Confidence | 58.4 (25.6) | 59.7 (18.4) | 59.0 (22.2) | F(1,58) = 0.05 | 0.82 |
| Strategies to limit drinking | 1.8 (0.7) | 1.9 (0.6) | 1.8 (0.6) | F(1,58) = 0.01 | 0.93 |
a
Reported F-test value and p-value are based on Square Root transformation used to correct for non-normality in data structure. Actual (non-transformed) means and standard deviations are presented in the table.
b
Reported F-test value and p-value are based on Natural Log transformation used to correct for non-normality in data structure. Actual (non-transformed) means and standard deviations are presented in the table.