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. Author manuscript; available in PMC: 2016 Jun 3.
Published in final edited form as: Psychol Addict Behav. 2015 Jul 13;29(4):992–1002. doi: 10.1037/adb0000095

Table 4.

Prediction of number of negative and positive alcohol consequences (Models 2 and 3)

Model 2: Predicting Negative Consequences Model 3: Predicting Positive consequences

Predictors B (SE) t p B (SE) t p
 Intercept of consequences 1.34 (0.13) 10.43 .000 6.24 (0.56) 11.09 .000
Biweekly-level (L1) predictors of consequences
 Prior assessment negative evaluationa −0.001 (0.02) −0.11 .910 0.06 (0.05) 1.32 .188
  Negative evaluations x Class year 0.06 (0.03) 1.85 .064 −0.01 (0.11) −0.14 .892
 Prior assessment positive evaluationa −0.02 (0.02) −0.85 .396 0.01 (0.08) 0.18 .858
  Positive evaluations x Class year 0.05 (0.05) 1.00 .316 −0.03 (0.16) −0.22 .828
 Prior assessment number of negative consequencesa −0.01 (0.01) −1.00 .320 0.04 (0.03) 1.41 .160
 Prior assessment number of positive consequencesa 0.03 (0.01) 4.29 .000 0.15 (0.02) 6.38 .000
 Concurrent assessment number of drinksa 0.04 (0.00) 17.62 .000 0.12 (0.01) 16.34 .000
 Week of semester −0.01(0.01) −1.61 .108 −0.14 (0.02) −7.41 .000
 School year week (vs. break) −0.09 (0.07) −1.22 .223 0.08 (0.22) 0.36 .721
 Class year −0.11 (0.03) −4.43 .000 −0.69 (0.09) −7.51 .000
Person-level (L2) predictors of consequences(intercept effects)
 Gender 0.06 (0.04) 1.52 .129 0.21 (0.19) 1.12 .265
 Race/Ethnicity −0.08 (0.05) −1.58 .114 0.14 (0.21) 0.67 .505
 School −0.17 (0.03) −5.74 .000 −0.36 (0.15) −2.43 .015
 Cohort −0.03 (0.03) −1.19 .235 −0.36 (0.12) −2.93 .004
 Average negative evaluation across weeks 0.05 (0.04) 1.29 .197 −0.07 (0.18) −0.36 .720
 Average positive evaluation across weeks −0.11 (0.05) −2.32 .021 0.17 (0.22) 0.76 .434
Person-level (L2) moderators of evaluation effects(slope effects)
 Gender x (L1) negative evaluations 0.01 (0.04) 0.44 .660 0.27(0.10) 2.85 .005
 Gender x (L1) positive evaluations 0.02 (0.05) 0.33 .744 0.20 (0.15) 1.30 .193

Note. Alcohol use was the sum of past week number of drinks. Gender (0.4 = female, −0.6 = male); Race/Ethnicity (0 = Non-White, 1 = Non-Hispanic White); three School sites coded 1–3; three Cohorts coded 1–3; School Year Week (0 = Break Week, 1 = School Year Week); Class Year (−0.5 = First-Year, 0.5 = Sophomore); removal of cross-level interaction effects of gender (L2) on evaluations (L1) did not alter the pattern or significance of model findings

a

Person-centered variable that reflects deviations from the individual’s average score on that variable across weeks.

Bold values are significant at p < .05.