Table 6.

Effect Estimates and Bayesian Posterior Standard Deviations from Multilevel Structural Equation Models Predicting Drinks Consumed Per Drinking Day from Medication Condition and Subjective Responses to Alcohol in the Natural Environment

Subjective Response (SR)	Effect of Medication on SR (a)	Effect of SR on Drinking (b)	Effect of Medication on Drinking (c)	Effect of Medication on Drinking after SR (c′)	Indirect effect (a × b)	95% CI for indirect effect
Between
Craving	−0.601† (0.338)	0.613 (0.280)		−0.823 (0.569)	−0.323† (0.290)	−1.010, 0.029
Stimulation	−0.125 (0.277)	0.354 (0.325)	−1.225*** (0.607)	−1.156* (0.579)	−0.022 (0.132)	−0.351, 0.183
Sedation	−0.236 (0.162)	0.183 (0.799)		−1.119† (0.637)	−0.022 (0.224)	−0.528, 0.418
Within
Craving	––––	0.168*** (0.048)		––––	––––	––––
Stimulation	––––	0.117 (0.061)		––––	––––	––––
Sedation	––––	−0.108 (0.076)		––––	––––	––––

Note. SR = subjective response; CI = credible interval. Significance of effects is based on Bayesian one-tailed posterior p-values, at the .025 level. For positive effects, the Bayesian p-value is the proportion of the posterior distribution below zero; for negative effects, the Bayesian p-value is the proportion of the posterior distribution above zero. All models controlled for the carryover effects of subjective responses and drinking from study week 4. The pattern of results did not change when sex and baseline percent drinking days were included.

^†p< .05.

^*p< .025.

^**p< .01.

^***p< .001.