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. Author manuscript; available in PMC: 2018 Oct 1.
Published in final edited form as: Drug Alcohol Depend. 2017 Jul 25;179:167–173. doi: 10.1016/j.drugalcdep.2017.06.032

Table 4.

Multilevel Models Predicting Frequency of Stimulant Use in Past Month to “Get High”.

Parameter b SE t p 95% CI
Intercept 1.40 0.30 4.63 < .001 (0.76, 2.04)
Age − 0.02 0.07 − 0.28 .780 (− 0.16, 0.12)
Peer Modeling 0.09 0.02 4.45 < .001 (0.05, 0.13)
Parental Monitoring (Linear) 0.02 0.03 0.82 .414 (− 0.03, 0.08)
Parental Monitoring (Quadratic) 0.01 0.00 2.09 .039 (0.00, 0.01)
School Performance − 0.06 0.07 − 0.79 .433 (− 0.20, 0.09)
Region
  Northern Plains − 0.59 0.29 − 2.01 .062 (− 1.20, 0.03)
  Northwest − 0.26 0.70 − 0.37 .715 (− 1.76, 1.24)
  Southeast + Texas − 0.74 0.86 − 0.85 .408 (− 2.57, 1.10)
  Upper Great Lakes − 0.24 0.29 − 0.84 .413 (− 0.85, 0.37)
  Southwest
Female gender 0.08 0.20 0.38 .705 (− 0.33, 0.48)
Male gender
Prescribed by doctor 0.58 0.21 2.81 .006 (0.17, 0.99)
Not prescribed by doctor

Note. CI = confidence interval. Continuous predictors were centered at the grand mean. Bolded typeface indicates fixed effects that were significant at the p < .05 level.