. Author manuscript; available in PMC: 2018 Sep 1.

Published in final edited form as: Psychol Addict Behav. 2017 Aug 14;31(6):676–687. doi: 10.1037/adb0000303

Table 1.

Logistic multilevel model showing daily relationship between daily stressors and drinking events (N students=735, N days=49,341)

Fixed Effects	b (SE)	OR	95% CI
Daily Stressors Slope	0.08 (0.02)^**	1.08	1.03, 1.13
Semester-Mean Stressors Slope	−0.01 (0.06)	0.99	0.87, 1.12
Person-Mean Stressors Slope	0.53 (0.18)^**	1.69	1.20, 2.39
Weekend Slope	0.42 (0.03)^***	1.52	1.44, 1.59
Intercept	−2.47 (0.05)^***	0.08	0.08, 0.09

Random Effects (variances, covariances)	Estimate	SE	95% CI

Person Level
Intercept Variance	1.74^***	0.12	1.52, 2.01
Daily Stressors Slope Variance	0.09^***	0.02	0.07, 0.14
Intercept, Daily Stressors Slope Covariance	−0.02	0.04	−0.11, 0.06
Semester Level
Intercept Variance	0.47^***	0.03	0.42, 0.53
Daily Level
Dispersion	0.67^a	--	0.66, 0.68

OR=odds ratio.

^***

p<.001,

^**

p<.01,

p<.05,

⁺

p<.10

The dispersion parameter is tested for significance by comparing its 95% confidence interval (CI) to 1, a value that indicates expected dispersion for a binomial outcome (Bolger & Laurenceau, 2013). Significant underdispersion was present.