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. Author manuscript; available in PMC: 2016 Jan 9.
Published in final edited form as: Health Place. 2015 Jan 9;31:224–232. doi: 10.1016/j.healthplace.2014.12.001

Table 2.

Nested Models Describing Association between Predictors and Number of Days Smoked in the Past 30 Days in the National Longitudinal Study of Adolescent Health (N=16,070)

Model 1 Model 2

Fixed Effect Estimates School Only Neighborhood Only Cross-Classified School Only Neighborhood Only Cross-Classified

Intercept (SE) 3.8 (0.23) 3.94 (0.11) 3.88 (0.22) −6.94 (0.84) −7.42 (0.73) −6.91 (0.84)
Individual-level
Age 0.80 (0.70, 0.90) 0.85 (0.76, 0.93) 0.80 (0.70, 0.90)
Female 0.06 (−0.22, 0.34) 0.02 (−0.26, 0.30) 0.06 (−0.22, 0.34)
Public Assistance 0.76 (0.27, 1.25) 0.84 (0.34, 1.34) 0.74 (0.26, 1.24)
High School degree −0.21 (−0.66, 0.25) −0.15 (−0.62, 0.29) −0.21 (−0.67, 0.23)
Race
 White Ref Ref Ref
 Black −4.28 (−4.73, −3.86) −4.57 (−4.96, −4.16) −4.29 (−4.71, −3.86)
 Hispanic −1.98 (−2.49, −1.48) −2.86 (−3.32, −2.38) −1.99 (−2.50, −1.48)
School-level
Public Assistance
High School Degree
Percent White
Neighborhood-level
Public Assistance
High School Degree
Percent White
Random Effect Estimates
U3 neighborhood (SE) 4.58 (3.66, 5.65)* 0.46 (0.13, 0.88)* 1.59 (1.03, 2.26)* 0.24 (0.06, 0.61)*
U2 school (SE) 5.44 (4.04, 7.19)* 5.36 (3.95, 7.07)* 2.12 (1.48, 2.97)* 2.08 (1.42, 2.92)*
U1 individual (SE) 83.1 (81.3, 85.0)* 84.0 (82.1, 85.9)* 82.7 (80.9, 84.6)* 80.7 (79.0, 82.5)* 81.1 (79.3, 83.0)* 80.5 (78.8, 82.3)*
Fit Statistics
DIC 116736 116259

Model 1 presents the results for a null model (i.e., no covariates) for each model type: school-only multilevel model, neighborhood-only multilevel model, and the cross-classified multilevel model. Model 2 presents the same models as Model 1, except Model 2 includes individual-level predictors and covariates. For the fixed effect estimates, cell entries are parameter (beta) estimates and credible intervals. The intercept is presented as parameter estimate and standard error (SE). Random effects are presented as estimate and credible intervals. DIC refers to Deviance Information Criterion, a measure of model fit and complexity and is only reported for the cross-classified models.

Significant random effects are indicated by

*

(p<0.05).