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. 2018 Mar 18;79(2):190–198. doi: 10.15288/jsad.2018.79.190

Table 2.

Between, within, and indirect effect estimates (with Bayesian credibility intervals) from a multilevel structural equation model analysis predicting total grams of cannabis smoked on a given smoking day from medication condition and putative mediators

graphic file with name jsad.2018.79.190tbl2.jpg

Parameter Est. Posterior SD pa [95% CI]b
Between
 Conditionc M (a between)
  High -1.27 0.59 <.001 [-2.62, -0.06]*
  Craving -1.21 0.90 .060 [-2.91, 0.46]
  Stimulation 2.06 1.49 .100 [-1.01, 4.62]
  Sedation -1.35 0.79 .270 [-4.48, 1.84]
  Stress -0.12 0.81 .410 [-1.64, 1.41]
 M Total grams (b between)
  High 0.38 0.11 <.001 [0.19, 0.59]*
  Craving -0.18 0.05 <.001 [-0.28, -0.07]*
  Stimulation -0.08 0.04 .010 [-0.16, -0.01]*
  Sedation -0.10 0.02 <.001 [-0.16, -0.06]*
  Stress 0.01 0.06 .440 [-0.08, 0.14]
 Condition Total grams (c′) -0.42 0.0 .210 [-0.93, 0.49]
Within
 M Total grams (b within)
  High -0.01 0.04 .440 [-0.10, 0.06]
  Craving 0.06 0.04 .100 [-0.02, 0.13]
  Stimulation 0.02 0.03 .310 [-0.03, 0.07]
  Sedation -0.03 0.02 .060 [-0.07, 0.01]
  Stress -0.05 0.03 .020 [-0.01, 0.01]
 Grams smoked this event M
  High 1.62 0.72 <.001 [0.24, 3.13]*
  Craving -0.70 0.62 .090 [-1.98, 0.40]
  Stimulation -0.42 1.02 .370 [-2.45, 1.56]
  Sedation 3.11 1.35 .030 [1.07, 6.29]*
  Stress -1.44 0.76 .020 [-2.76, -0.17]*
 Grams this event Total grams 0.76 0.44 .020 [0.12, 1.91]*
Indirect effects (a × b)
 High -0.46 0.32 <.001 [-1.29, -0.04]*
 Craving 0.21 0.19 .060 [-0.07, 0.62]
 Stimulation -0.12 0.17 .110 [-0.42, 0.09]
 Sedation 0.14 0.19 .270 [-0.23, 0.47]
 Stress 0.00 0.06 .470 [-0.09, 0.09]

Notes: Normal prior distributions were specified with a mean of zero and prior variance that was infinitely large; median posterior point estimates were specified. Est. = estimate; CI = credibility interval; p = Bayesian one-tailed p value; M = mediator. aFor positive values, the Bayesian one-tailed p value is the proportion of the posterior distribution below zero; for negative values, the Bayesian one-tailed p value is the proportion of posterior distribution above zero. bThe final column shows the 2.5 and 97.5 percentiles in the posterior distribution; intervals that do not include zero are noted with an asterisk (*). cCondition is coded such that 0 = placebo and 1 = topiramate.