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. Author manuscript; available in PMC: 2011 Jun 1.
Published in final edited form as: Prev Sci. 2010 Jun;11(2):155–162. doi: 10.1007/s11121-009-0160-y

Table 1.

Multilevel modeling predicting drinking behavior by gender, LateNight Penn State attendance, and Staying In

Total drinks Rate ratio [CI] Any drinks Odds ratio [CI] Binge drinking Odds ratio [CI]
Average drinking on weekend days, β0
 Intercept, γ00 0.25 [.20, .31]**** 0.04 [.03, .05]**** 0.02 [.01, .02]****
 Male gender, γ01 1.67 [1.27, 2.21]**** 1.43 [.95, 2.15]* 1.72 [1.08, 2.77]**
 Mean LNPS Attendance, γ02 0.01 [.00, .04]**** 0.001 [.00, .003]**** 0.001 [.00, .01]****
 Mean Staying In, γ03 0.04 [.02, .06]**** 0.01 [.00, .01]**** 0.01 [.00, .01]****
Average fluctuations with LNPS attendance, β1
 Intercept, γ10 0.36 [.20, .66]*** 0.16 [.06, .43]*** 0.15 [.05, .47]***
 Gender, γ11 2.20 [0.94, 5.14]* 3.82 [.95, 15.35]* 1.86 [.38, 9.08]
Average fluctuations with Staying In, β2
 Intercept, γ20 0.21 [.16, .27]**** 0.04 [.02, .06]**** 0.05 [.03, .08]****
 Gender, γ21 1.46 [.97, 2.20]* 1.96 [1.03, 3.71]** 1.44 [.64, 3.26]
Average fluctuations on Fridays, β3
 Intercept, γ30 1.69 [1.42, 2.01]**** 4.33 [3.05, 6.15]**** 3.06 [2.11, 4.43]****
Average fluctuations on Saturdays, β4
 Intercept, γ40 1.34 [1.15, 1.56]**** 2.11 [1.51, 2.94]**** 1.57 [1.08, 2.29]**
*

p<.10

**

p<.05

***

p<.01

****

p<.001